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Fadhli Ranuharja, Ambiyar Ambiyar, Yose Indarta, Agariadne Dwinggo Samala, Ika Parma Dewi
Published: 1 April 2022
SinkrOn, Volume 7, pp 504-514; https://doi.org/10.33395/sinkron.v7i2.11377

Abstract:
This study aims to provide the needs for institutions such as urban villages to provide services, information to residents, making it easier to socialize activities and assist in the administration of correspondence permits from the urban village. The new system needs to be implemented in Tanjung Ayun Sakti Village as a solution to overcome obstacles in accessing information and services in Tanjung Ayun Sakti Village. The application of a population service information system can have a fairly good impact and be beneficial for all interested parties. The development of this system uses the PHP programming language, CodeIgniter framework, XAMPP as a database server for simulation on localhost and the SDLC (Software Development Life Cycle) method. From the results of the development of this information system, the validity test was carried out by experts, then the practicalists are very good. aims to assist the population service process in the form of sending a permit online.
Linda Marlinda, Faruq Aziz, Widiyawati Widiyawati, Ajeng Sri Widyasih
Published: 1 April 2022
SinkrOn, Volume 7, pp 515-523; https://doi.org/10.33395/sinkron.v7i2.11379

Abstract:
During the Covid-19 pandemic, teachers and students carried out the online teaching and learning process from home. Distance learning has several problems including the limitations of teachers and students in the world of information and communication technology, the facilities and infrastructure they have, and environmental conditions that are less supportive. The use of laptops and the internet every day are used by students and teachers as the main means of the online teaching and learning process. Continuous use without proper maintenance and lack of knowledge in overcoming the problem of damage to laptops makes teachers and students unable to identify the location of the damage and how to deal with it. Therefore, this expert system application was created to assist teachers and students in detecting the symptoms of laptop damage experienced and solutions to overcome the damage. In the development of this expert system using the Naive Bayes method, this method only requires a small amount of training data to determine parameter estimates during the classification process. The results of the application of the nave Bayes method produce appropriate calculations based on the symptoms of damage and a predetermined list of damage so that it can make it easier for users when analyzing the beginning by using existing symptoms with a system that has been built with very efficient time and has an accuracy rate of 100%.
Budi Priswanto, Handri Santoso
Published: 1 April 2022
SinkrOn, Volume 7, pp 495-503; https://doi.org/10.33395/sinkron.v7i2.11384

Abstract:
When developments in the field of computer science are growing rapidly. For example, the development of image or video predictions for various fields has been widely applied to assist further processes. The field of computer vision has created many ideas about processing using deep learning algorithms. Sometimes the problem with using deep learning or machine learning is in the availability of the dataset or the unavailability of the dataset. Various methods are used to add to or enrich the dataset. One way is to add an image dataset by creating a synthetic image. One of the well-known algorithms is Generative Adversarial Networks as an algorithm for generating synthetic images. Currently, there are many variations of the GAN to around 500 variants. This research is to utilize the Cycle GAN architecture in order to enrich the dataset. By doing GAN as a synthetic image generator. This is very important in procuring image datasets, for training and testing models of Deep Learning algorithms such as Convolutional Neural Networks. In addition, the use of synthetic images produces a deep learning model to avoid overfitting. One of the causes of the overfitting problem is the lack of datasets. There are many ways to add image datasets, by cropping, continuously rotating 90 degrees, 180 degrees. The reason for using Cycle Generative Adversarial Networks is because this method is not as complicated as other GANs, but also not as simple. Cycle GAN synthetic images are processed with Super Resolution GAN, which aims to clarify image quality. So that it produces a different image and good image quality.
Daniel Karjadi
Published: 1 April 2022
SinkrOn, Volume 7, pp 524-531; https://doi.org/10.33395/sinkron.v7i2.11400

Abstract:
Smartphone technology is currently developing rapidly. In an effort to improve and empower companies, smart is used as a tool for anything in office work and in projects. For example, smartphones are currently used for meetings or coordination with leaders and employees. In the project, smartphones can be used to monitor employees. One of the problems with work on projects is that employees often leave project work for several reasons. The position of employees is often unknown to other employees or leaders. So the idea arose to find out the whereabouts of the employee. Monitoring employees on the project is very important, where the presence of these employees is needed to coordinate. If the employee is at risk of a work accident, the management quickly knows the position of the employee. The idea of ​​making employee monitoring in the project by creating an application system for employee positions in the project. In addition to monitoring, employees do not need to attend the office, from the employee's home directly to the project site and do asben from the project site. The data will record the name of the employee, the position of the employee in the project, the time of absence, see the tasks that will be carried out per day. The results of the task are carried out by taking selfies as a report to superiors. The purpose of this research is to solve the problem of the existence of employees or the position of employees in the project, to be absent at the project site, to take selfies on the progress of daily work, and to hold meetings with the application. This application is built using technology based on the Android system using Flutter.
Agariadne Dwinggo Samala, Ambiyar Ambiyar, Sukardi Sukardi, Yose Indarta, Fadhli Ranuharja
Published: 26 March 2022
SinkrOn, Volume 7, pp 351-358; https://doi.org/10.33395/sinkron.v7i2.11329

Abstract:
This study aims to identify the implications of implementing an interactive e-module for learning basic programming in distance learning. The subject of this research were students of Informatics Education Study Program, Department of Electronic Engineering, Universitas Negeri Padang. This research was carried out in the odd semester of 2020/2021 academic year. This research used an experimental method using a quantitative approach with a posttest-only control group design. The sampling technique used purposive sampling. In the results of the midterm exam, it is known that the learning outcomes students from the control group without treatment obtained the lowest score of 64.00; highest score 84.00; an average of 75.27; while students from the experimental group with interactive e-modules obtained the lowest score of 76.00; highest score 96.00; with an average of 84.83; Furthermore, the results of the final exam obtained student learning outcomes from the control group without treatment, the lowest score was 60,00; highest score 82,00; with an average of 72.07; while student learning outcomes from the experimental group obtained the lowest score of 72,00; highest score 90,00; with an average of 81.60. The results showed that the learning outcomes of the experimental group are much better than the learning outcomes of the control group. It means that there is a significant effect of using distance learning interactive e-module on learning outcomes of basic programming.
Mariska Lupitha, Handri Santoso
Published: 1 April 2022
SinkrOn, Volume 7, pp 455-463; https://doi.org/10.33395/sinkron.v7i2.11373

Abstract:
The E-Tilang application system has been widely used to support modern traffic, whereas protocol roads in big cities in Indonesia are already widely used. In principle, the plate number detection tool uses image recognition for detection. Image number plates on vehicles cannot always be read clearly, this is what causes the detection method to be a problem if the image plate number is further processed. The method for processing the plate number image uses deep learning and computer vision methods. For the condition of the image plate number that is not clear, the process of improving the image resolution from low resolution to high resolution is carried out, by applying Generative Adversarial Networks. This method consists of two main parts, namely Generate and Discriminator. Generate serves to generate an image and the Discriminator here is to check the image, can the image plate number be read or not? So that if the image plate number cannot be read, then the process is carried out again to the Generator until it is received by the Discriminator to be read. The process does not end here, the results will be carried out in the next process using Convolutional Neural Networks. Where the process is to detect the plate number image according to the classification of the plate number according to the region. The point is that an unclear image becomes clear by increasing the resolution from low resolution to high resolution so that it is easily read by the Convolutional Neural Network (CNN) algorithm so that the image is easily recognized by the CNN Algorithm. This becomes important in the CNN algorithm process because it gets the processed dataset. To produce a good model, preprocessing of the dataset is carried out. So that the model can detect the image well in terms of model performance.
Abdul Hafidz, Dadang Iskandar Mulyana, Dyan Bagus Sumantri, Kurniawan Setyo Nugroho
Published: 31 March 2022
SinkrOn, Volume 7, pp 392-398; https://doi.org/10.33395/sinkron.v7i2.11333

Abstract:
Identification is an important part of image analysis because in this procedure the desired image/image will be analyzed for further processing to make it easier to analyze for further purposes, for example in image identification pattern recognition which is part of image analysis used to divide an image into several parts and take some of the desired objects. This study aims to identify buni fruit with Euclidean distance and extract shape and texture features. Extraction of shape features using boundary metrics and whimsy. This boundary is considered to be able to recognize objects based on their shape and can distinguish them from other objects. For identification expositions, Euclidean distance is used which serves to represent the level of similarity of two images that take into account the distance value of the Euclidean distance. From the results of the evaluation using a disarray network by calculating precision, review, and accuracy, in order to identify the image of the buni fruit object properly.
Bayu Yasa Wedha, Alessandro Benito Putra Bayu Wedha, Haryono Haryono
Published: 31 March 2022
SinkrOn, Volume 7, pp 405-412; https://doi.org/10.33395/sinkron.v7i2.11345

Abstract:
The weight measurement system is carried out manually using a manual scale. The existing weighing system is still considered inefficient because it takes a long time if it is done repeatedly and there are too many errors in its measurement. To overcome this, an electronic weighing device was designed using the NodeMCU ESP 8266 microcontroller as a controller and a load cell as a sensor. This journal presents the development of electronic weighing indicators for digital measurements. The purpose of this system is to read the measured weight in conventional analog form to digital form, achieving high precision in measurement and calibration. The components used in this research are Load Cell, Load Cell Hx711 amplifier, NodeMCU ESP 8266 microcontroller, and LCD module. In this study, a 4 kg load cell was used. The load cell sends the output signal of the measured mechanical weight to the Hx711 module which amplifies and sends the output to the NodeMCU microcontroller. The microcontroller calibrates the output signal with the help of the load cell amplifier module before sending the converted signal to digital form to the LCD module for display. The developed system has proven that digital electronic weighing systems can be low cost, miniature, discrete, and can take accurate readings without errors
Ika Parma Dewi, Ambiyar Ambiyar, Afif Rahman Riyanda, Reva Fadilla, Novi Hendri Adi
Published: 1 April 2022
SinkrOn, Volume 7, pp 439-446; https://doi.org/10.33395/sinkron.v7i2.11310

Abstract:
SMK Negeri 1 Kecamatan Luak is a government agency that organizes vocational education. Every semester SMK Negeri 1 Luak Regency does data processing of student scores, but in processing student grades they still use the manual system, namely by collecting assignment scores, test scores, mid-semester test scores and end-semester test scores. The exam is then processed by the subject teacher, then the score is submitted to the administrative staff, after that the administrative staff submits all student scores to the homeroom teacher to be entered into leger paper which is then processed into report cards. This is considered less effective, causing a lot of time and energy needed in the process of processing student grades. Facilitate the process of processing student scores to become e-reports at SMK Negeri 1 Luak District. With the information system for processing student grades at SMK Negeri 1 Luak District, it helps process student grades into report cards and ledgers easily, quickly and precisely. In addition, in a pandemic situation, the information system processing student grades data is very helpful for submitting semester report cards to students and their parents in order to avoid crowds to prevent transmission of the Covid-19 virus. This application is designed using the System Development Life Cycle (SDLC) method, in developing the SDLC the author uses the waterfall method in designing information systems.
Akmaludin Akmaludin, Erene Gernaria Sihombing, Linda Sari Dewi, Rinawati Rinawati, Ester Arisawati
Published: 7 February 2022
SinkrOn, Volume 7, pp 321-332; https://doi.org/10.33395/sinkron.v7i1.11203

Abstract:
To give appreciation to every employee who has been able to understand the journey of the system in a company, it is appropriate to be given appreciation in the process of changing leadership and as a form of motivation for all employees in the company as a form of promotion. The promotion process must be carried out objectively, so that a good leadership change system can be seen as a strength in the company's survival for each period. The process of changing leadership through promotions is at the forefront of running a sustainable company. With so many employees, the biggest obstacle that often becomes crucial is how to select the leadership relay holder through promotions in the company that can be carried out objectively, thus a method is needed. worthy to be used as a benchmark for selecting employees in terms of promotion. There is a method that can be used for employee selection as a form of promotion, namely the profile matching method through the assessment of the weight of the Aspects and the magnitude of the GAP value with the concept of determining the largest rank as the winner in the selection process for promoted employees. Of the six employees who are appointed as candidates for leadership candidates through promotions, they will be selected consistently with a number of criteria as a barometer of the selection process. The results obtained through the promotion of positions in the leadership change process were the first rank was elected KR02 (4.67), followed by the second rank KR01 (4.65) and the third rank KR05 (4.46). Thus, it can be said that the combination of profile matching and MCDM-AHP methods can be used to carry out the employee selection process as a form of promotion.
Virandha Salbinda, Rani Irma Handayani, Normah Normah
Published: 21 March 2022
SinkrOn, Volume 7, pp 314-320; https://doi.org/10.33395/sinkron.v7i2.11244

Abstract:
In the era of globalization, the development of technological sophistication is growing rapidly which is an aspect that can be utilized to achieve convenience, especially in the flow of information. This technological sophistication by all accounts is increasingly spreading with the use of computers which are currently very popular in various areas of life. For example in the fields of education, entertainment, health, especially in the business sector. Top Store is a store that is engaged in selling clothes, however, of the various types of clothes that are sold, of course, not all of them are selling very well, and some are not selling well. Sales data, purchase of goods and unexpected expenses at Top Shop is not structured, so the data are only serves as an archive for the store and not be utilized for the development strategy of marketing. Therefore, it is necessary to apply Clustering of Clothing Sales Data in Top Stores with the K- Means Method . The K-means method can be applied to Top Stores to determine which clothes are selling very well, selling well and not selling well. The application of the K-Means method in Top Stores, namely by grouping clothing stock data. Then choose 3 clusters randomly as the initial centroid. After the data in each cluster does not change, it can be seen that the final result is that there are 21 best-selling articles, 17 articles that are selling well and 12 articles that are not selling well. Then applying the K-means method to Rapidminer is done by entering product stock data, namely initial stock, sold stock and final stock which will become a database on Ms. Excel, the data is then connected to the Rapidminer Tools , and will be processed and formed K-means.
Ardi Maulana Nugraha, Ichsan Ichsan, Mustika Wati Alfia Ningtyas, Abdul Samad Arief, Pandu Adi Cakranegara
Published: 31 March 2022
SinkrOn, Volume 7, pp 399-404; https://doi.org/10.33395/sinkron.v7i2.11317

Abstract:
This study intends to find out how the influence of adolescent behavior on social media users. Currently, almost the majority of teenagers in Indonesia use social media. Social media is something that cannot be left behind in the daily life of teenagers. Researchers, in this case, analyze the behavior of teenagers in using social media. used in this research. This research is included in quantitative research with data collection methods through observation, interviews, and questionnaires. The data analysis method used is the normality test, linearity test, simple linear regression coefficient test, and hypothesis testing using determination test or R2. Sampling in this study using a proportional random sampling technique. The number of samples obtained as many as 40 respondents with the criteria of teenagers who access social media Facebook. Research results based on the results of research and discussion of the influence of Facebook media on behavioral deviations in adolescents, it can be concluded that there is a significant influence between the use of Facebook media on behavioral deviations of adolescents who includes the words of students can be seen from the words of students who are not polite, the use of dirty words in daily communication. Students' addiction to Facebook makes students tend to use Facebook whenever and wherever there is an opportunity, even during lessons. Students' individualism can be seen from the use of Facebook to communicate and rarely meet directly with friends which results in a decrease in social attitudes in students who tend not to care about the surrounding environment.
Mas'ud Muhammadiah, Abdul Wahab, Susilo Surahman, Pandu Adi Cakranegara, Maria Purnama Nduru
Published: 9 February 2022
SinkrOn, Volume 7, pp 308-313; https://doi.org/10.33395/sinkron.v7i2.11292

Abstract:
The use of school information systems that still use manual means in terms of learning evaluation makes it difficult in terms of assessment. This article will explain how to design a web-based school evaluation system at a vocational school. In this study, the methods used are research and development methods and data retrieval methods by making observations and interviews. The results of the final product research learning evaluation tool can be used in vocational schools and can facilitate schools in making learning evaluation tools. Development and research results can then be concluded that the process of developing web-based learning evaluation tools consists of assessment, design, development, implementation, and evaluation. Product results in the form of web-based learning evaluation tools. Based on the tests conducted, the development of web-based learning evaluation tools on aspects of software engineering, learning media, and visual communication can be categorized as very feasible, so this learning medium can be used as a learning medium to help the learning process. Based on the results of field tests, students' responses to web-based learning evaluation tools from the motivational aspect get a percentage of 81.94% (category "Very Good"), gain with a percentage of 83% (category "Very Good"), and convenience with a percentage of 76.61% (the category of "Very Good"), and usefulness with a percentage of 83.65% (category "Very Good"), and when on average get a percentage of 76.61% categorized as "Good".
Daniel Avian Karjadi, Haryono Haryono
Published: 28 March 2022
SinkrOn, Volume 7, pp 359-366; https://doi.org/10.33395/sinkron.v7i2.11347

Abstract:
Currently the development of information technology is very fast in its development. Up to all fields can not be separated from information technology. In the industrial era 4.0, there are also a lot of Internet of Things devices. Almost every field has used many IoT devices. The presence of IoT-based devices is very helpful in modern human life today. Moreover, with the development of microcontrollers and open source makes someone create a device quickly. One of them is making a prototype for sensing objects. By utilizing the Arduino Uno microcontroller and Ultrasonic sensors to create a sensing prototype. The results of this sensing can be displayed on notebooks and mobile phones. The microcontroller also sends sensing sensor data via Bluetooth as a wireless communication medium. Called Internet of Thing if a device can send signals to other devices. Various data communications can be via wireless or wire. Mobile app that is used to display sensing results from Ultrasonic sensors. Use of the App Inventor platform as a front end for mobile apps. This device is only limited to a short distance. Due to the limitations of the Ultrasonic sensing sensor it does not exceed 1 meter. This prototype can be developed using a longer distance and can be applied to remote sensing, if changing the sensing sensor with a remote sensing sensor.
Tri Hartati, Noer Hikmah
Published: 31 March 2022
SinkrOn, Volume 7, pp 384-391; https://doi.org/10.33395/sinkron.v7i2.11340

Abstract:
PT Satria Manunggal Petrolindo is one of the partners in PT. Pertamina is engaged in the business of trading fuel oil. In running its business, PT Satria Manunggal Petrolindo has employees who are dedicated to their work. Employee performance at this company is one of the important aspects that need to be assessed related to efforts to improve performance and quality in achieving the company's business goals and objectives, where so far the assessment of employees is still using traditional appraisal methods. This assessment method causes some employees to feel uncomfortable and unmotivated at work so that employee productivity can decrease. With these problems, the authors conducted research on the performance of employees at PT Satria Manunggal Petrolindo. The method that will be used in measuring employee performance appraisal in the company is the 360-degree feedback method. This method uses comprehensive feedback from all levels around employees to assess performance according to work behavior which consists of five assessment components, namely: Self Appraisal, Manager Review, Peer Review, Subordinates Appraising Manager (SAM) and Customer/Client Review. The results of the research and evaluation of the problem in this study were the use of the 360-degree feedback method in evaluating employee performance. It is expected to be able to overcome the problems of employee performance appraisal so as to increase the comfort and work motivation of PT.Satria Manunggal Petrolindo which will have an impact on increasing the achievement of the company's business goals.
Riandana Afira, Ayu Widya Purnama, Teri Ade Putra, Irzal Arief Wisky
Published: 31 March 2022
SinkrOn, Volume 7, pp 421-428; https://doi.org/10.33395/sinkron.v7i2.11351

Abstract:
Penelitian ini dilakukan untuk membuat suatu sistem yang dapat mengukur suhu pada suatu ruangan. Sistem ini dilakukan dengan merancang, membuat dan mengimplementasikan rangkaian komponen sistem yang meliputi arduino yang berfungsi sebagai tempat sentral untuk mengolah data atau instruksi, sensor suhu bekerja untuk menangkap suhu. Hasil penelitian menunjukkan bahwa alat yang dibuat dapat bekerja dengan baik dan dapat langsung digunakan di tempat yang dibutuhkan.
Elisawati Elisawati, Arie Linarta, Al Malikul Ikhwanda Putra, Herris Elvaningsih
Published: 7 February 2022
SinkrOn, Volume 7, pp 297-307; https://doi.org/10.33395/sinkron.v7i2.11269

Abstract:
Health is one of the needs of the society to be able to carry out activities in daily life. The high public need for health makes the provision of drug stocks being an important aspect for every health service, one of which is the Public Health. To find out how many drugs are received, the Public Health conducts a data collection on the drug stock that is carried out. However, the Public Health could not determine the exact amount of drug stock needed so that some drugs expired due to excess drug stock. With these problems, an analysis using the Backpropagation method was carried out to predict how much drug stock was needed. The purpose of this study is to ensure that the stock of drugs that enter the Public Health is in accordance with the needs of the Public Health so that it can reduce the expired of the drugs. For analysis using the Backpropagation Method, there are two processes used, namely: with the training process to find new weights which will later be used in the second process, namely the testing process. testing is only carried out on the forward propagation process. To carry out the training process and testing process, data from 2019-2020 that has been recapitulated will be used. The results of the analysis using the Backpropagation method show that the highest accuracy results are 88.0356% at epoch 900, learning rate is 0.001, and goal is 0.00001 with the lowest MAPE (Mean Absolute Percentage Error) is 11.964% which shows that the ability of forecasting or analysis models good because how much in the range of 10-20%
Daniel Avian Karjadi, Bayu Yasa Wedha, Handri Santoso
Published: 1 April 2022
SinkrOn, Volume 7, pp 464-471; https://doi.org/10.33395/sinkron.v7i2.11378

Abstract:
Currently, many roads in Indonesia are damaged. This is due to the presence of large vehicles and large loads that often pass. The more omissions are carried out, the more damaged and severe the road is. The central government and local governments often carry out road repairs, but this problem is often a problem. Damaged roads are indeed many factors, one of which is the road load. The road load is caused by the number of vehicles that carry more than the specified capacity. There are many methods used to monitor roads for road damage. The weighing post is a means used by the government in conducting surveillance. This research is not a proposal to monitor the road, but this is only to create a model for the purpose of detecting heavily or lightly loaded vehicles. This research is to classify using Convolutional Neural Network (CNN) with pre-trained Resnet50. The model generated from the Convolutional Neural Network training process reaches above 90%. Generate Image deep learning algorithms such as the Generative Adversarial Network currently generate a lot of synthetic images. The testing dataset that will be used is generated from style transfer. The model is tested using a testing dataset from the generated style transfer. Style transfer is a method of generating images by combining image content with image styles. The model is pretty good at around 92% for training and 88% for testing, can it detect image style transfer? The Convolutional Neural Network model is said to be good if it is able to recognize the image correctly, considering that the accuracy of the model is very good. One of the reasons why the training model is good but still makes errors during testing, then the image dataset is overfitting
Meyti Eka Apriyani, Krisna Widianggara, Ade Ismail
Published: 1 April 2022
SinkrOn, Volume 7, pp 429-438; https://doi.org/10.33395/sinkron.v7i2.11346

Abstract:
The national floriculture industry will continue to grow, along with the interest and demand for ornamental plants by the public the author intends to design a tool in the field of communication technology by utilizing the Internet of Thing (IoT) Platform so that it can be monitored remotely by covering the cultivated land of tillandsia ornamental plants. Temperature and humidity data will be analyzed using a fuzzy algorithm. Then the system gives a callback to the actuator (relay on the water pump) to work so that the temperature and humidity reach the expected conditions stably so that the care and maintenance of tillandsia plants is optimal and maintains the water conditions of tillandsia plants. In this research, found results with an average error of 0.4% on the temperature sensor with 7 tests, 0.83% on the light sensor with 3 trials. This system has succeeded in monitoring and controlling the prototype of the IoT-based mini greenhouse condition that can monitor remotely and automatically manage the conditions of temperature, humidity, and water light intensity to remain stable, making it easier for cultivation managers to monitor land or greenhouse conditions even though they are far away from the place of cultivation for the tools and pond managers are connected to the internet network.
Widiarina Widiarina, Kartika Mariskhana, Ita Dewi Sintawati
Published: 31 March 2022
SinkrOn, Volume 7, pp 413-420; https://doi.org/10.33395/sinkron.v7i2.11336

Abstract:
Measurement of working time (time study) is basically an attempt to determine the placement of mechanical work from the length of work time required by a mechanic to complete a job. This study aims to place the optimal mechanical work in the context of service operational time efficiency and obtain optimal time savings that can be achieved by mechanics in working on motorcycle servicing so as to maximize income using the Hungarian Method. The purpose of this research is to optimize employee assignments by looking at the mechanical working time. The problems that occur at ISTANA BAN are the ineffectiveness of the work process time and the swelling of operational costs, especially in the work of Matic Kaburator, Injection Matic, Injection Duck, Kaburator Duck and Sport with 5 workers. The results of the Assignment Application with the Hungarian Method and Software Quality Management (QM) Testing, Evan mechanics serviced the Duck Kaburator motorbike with a service time of 25 minutes, Minus mechanic serviced the Injection Duck motorbike with a service time of 24 minutes, Hermon mechanic serviced the Sport motorbike with a service time of 27 minutes, mechanic Anton servicing the Matic Injection motorbike with a service time of 25 minutes, mechanic Zola servicing the Matic Kaburator motorbike with a service time of 26 minutes. After analyzing the possibilities, it can be concluded that all mechanics can service each type of motor if the assigned mechanic has worked on the specified type of motor. By minimizing mechanical service time, it will have an impact on Tire Zone revenue because the number of motorbikes being serviced is increasing. Total Tire Zone revenue can be increased from pre-implementation revenue using the Hungarian Method.
Muhammad Thoiyibi, Muhammad Nuzli
Published: 1 April 2022
SinkrOn, Volume 7, pp 478-484; https://doi.org/10.33395/sinkron.v7i2.11349

Abstract:
New concepts in IT-based learning, often known as e-learning, were born because of the use of technology in the learning process. Teachers can choose from a variety of online learning media as a medium of learning in e-learning, one of which is Edmodo. Edmodo is a Non-Governmental Organization (NGO) that offers several tools for instructors to use in their classrooms. The purpose of this study is to describe the usage of Edmodo as an e-learning medium in pai class education technology courses, to determine Civitas Academica's reaction to Edmodo as an e-learning medium, and to determine the benefits and drawbacks of Edmodo as an e-learning medium. This study employs a qualitative technique in conjunction with descriptive analysis. Interviews, observations, and documentation were utilized to collect data in this study, which were aided by research equipment in the form of interview grids. There are additional guidelines for observation. This study took place in PAI classes, with 70 students and teachers from Educational Technology courses serving as the primary informants. The findings of this study revealed that Edmodo can be used as a supplemental class in PAI classes and that PAI students can benefit from the use of PAI. Edmodo as an e-learning learning medium, teachers are also greatly aided by its existence; as an e-learning learning medium, Edmodo has many advantages, particularly in terms of features offered, and the disadvantages of using Edmodo as an e-learning learning medium are highly dependent on the internet network.
Ika Parma Dewi, Fadhil Muhammad Kamil, Ambiyar Ambiyar, Refdinal Refdinal, Yose Indarta
Published: 29 March 2022
SinkrOn, Volume 7, pp 367-375; https://doi.org/10.33395/sinkron.v7i2.11300

Abstract:
Minang music applications are rarely found in the play store. As for some regional music applications that already exist but have many shortcomings such as not having lyrics and some have no features other than playing songs. Based on the data collection, a music application was created which aims to create an application that is not only a music player but also has other features such as viewing lyrics, adjusting the equalizer, having a sleep time feature and a search feature. Minang music application is designed using the waterfall method. The waterfall method is carried out through a systematic approach. Starting from the system requirements stage then to the analysis, design, coding and testing stages. The first aspect is to conduct interview sessions with related communities that are faced when they want to listen to music. In addition, interviews were also conducted regarding what features the community wanted. The second aspect is to compare the existing application with the application to be designed. Later, the application designed to be the right choice by users because it provides various features that are not found in other music player applications, especially for regional music applications. Then proceed with the design of the application which will be made using the android studio software. The resulting application is expected to become a popular application among users because this application is the latest application with complete features. The developed application can also be run when it is online or offline.
Hafiz Irwandi, Opim Salim Sitompul, Sutarman Sutarman
Published: 1 April 2022
SinkrOn, Volume 7, pp 472-478; https://doi.org/10.33395/sinkron.v7i2.11371

Abstract:
K-Means is a clustering algorithm that groups data based on similarities between data. Some of the problems that arise from this algorithm are when determining the center point of the cluster randomly. This will certainly affect the final result of a clustering process. To anticipate the poor accuracy value, a process is needed to determine the initial centroid in the initialization process. The second problem is when calculating the Euclidean distance on the distance between data. However, this method only gives the same impact on each data attribute. From some of these problems, this study proposes the Rank Order Centroid (ROC) method for initializing the cluster center point and using the Braycurtis distance method to calculate the distance between data. With the experiment K=2 to K=10, the results obtained in this study are the proposed method obtains an iteration reduction of 6.6% on the Student Performance Exams dataset and 19.3% on the Body Fat Prediction dataset. However, there was an increase in iterations on the Heart Failure dataset by 24.2%. In testing the cluster results using the Silhouette Coefficient, this method shows an increase in the evaluation value of 5.9% in the Student Performance Exams dataset. However, the evaluation value decreased by 8.3% in the Body Fat Prediction dataset and 3.3% in the Heart Failure dataset.
Andrew Andrew, Handri Santoso
Published: 1 April 2022
SinkrOn, Volume 7, pp 845-494; https://doi.org/10.33395/sinkron.v7i2.11383

Abstract:
The food industry is undergoing a phase of very good improvement, where business actors are experiencing very rapid growth. Creative ideas are many and creative on several social media. When an online business is growing rapidly, many managers in the food sector market their products through online media. So it is quite easy for customers to place orders via mobile. Especially during the COVID-19 pandemic, where a ban on gatherings has become a government recommendation for many food business actors to sell online. Since then, almost all food industry players have made their sales online. There are many advantages of doing business online. The food served is in the form of pictures that attract market visitors so that it can create its own charm. Food is just a click away to order, and the order comes. No need to queue and everything has been delivered to the ordered goods. After the ordered goods arrive, the customer reviews the food or drink. Because customer reviews are the result of customer ratings. The result of the review is one of the sentiment analyses, which in this study is in the form of a review of the images available on the display marketplace. The method used is Convolutional Neural Network. The dataset will be extracted features and classifications. The research will do a comparison using VGG19, ResNet50, and Inception-V3. Where the accuracy of VGG19 = 96.86; Resnet50 : 97.29; Inception_v3 : 97.57.
Akmaludin Akmaludin, Adhi Dharma Suriyanto, Nandang Iriadi, Toni Sukendar, Budi Santoso
Published: 7 February 2022
SinkrOn, Volume 7, pp 341-350; https://doi.org/10.33395/sinkron.v7i1.11228

Abstract:
Evaluation of the quality of employees in an institution is very necessary, especially for promotions which are the rights of every employee in leading a company that is full of competition. The purpose of this paper is to contribute in terms of the evaluation process in selecting employees who are ready to be promoted in a particular institution. With the support of various parties, a consistent and optimal method is needed to carry out the evaluation process, which is a popular priority, it is recommended to use the AHP-SMART method, where this method will be collaborated to become a core unit of problem solving, especially in terms of promotion as evaluation and selection material. Selection of the best employees, The AHP method will be used to conduct an assessment of the criteria used with the concept of Multi-criteria Decision Making (MCDM) which utilizes the results obtained from the eigenvector through iteration to minimize differences in the assessments of a number of respondents, while the SMART method is used to determine the results of decisions in collaboration with the AHP method, especially in terms of benefit utility and cost utility. The criteria used as an assessment measure consist of Planning, Solution Capture, Knowledge of Job, Reaction Behavior, Quantity of Works, Failed of Jobs, and Depandibility. The final result of the collaboration process of the two methods AHP and SMART gives a ranking of 26 employees with the highest score and being selected through an evaluation process for promotion won by K23 with a ranking weight (73.19) and the second is followed by K2 (76.17) and ranked the third was won by K3 (56.95). Thus the selection and evaluation process for promotion can be recommended and used as an optimal process from the selection stages of employee selection for promotion in every company agency.
Rusdiansyah Rusdiansyah, Yopi Handrianto, Hendra Supendar, Tuslaela Tuslaela
Published: 30 March 2022
SinkrOn, Volume 7, pp 376-383; https://doi.org/10.33395/sinkron.v7i2.11330

Abstract:
Linear programming that can be found in life around is an assignment problem. Common assignment problems include n tasks that must be assigned to m workers assuming each worker has different competencies in completing each task. One of the methods in solving this problem is the Hungarian method. The purpose of this research is to optimize the assignment of employees by looking at the cost of daily wages. The problems that occur at the OneTop Frozen Store are the ineffectiveness of the work process and the swelling of operational costs, especially at work, Order Sorting, Packing, Labeling, Delivery with 4 workers. The application of the Hungarian method and testing of Software Quality Management obtains optimal wage costs so that operational costs can be reduced to a minimum without reducing the quality of service to consumers. Based on data processing in the Hungarian method, an assignment that is in accordance with the work in preparing Frozen Food orders at the OneTop Store can cost a daily wage of Rp.130,000 (one hundred and thirty thousand) to be the optimal wage cost per day. when compared with the previous calculation without using the Hungarian method by paying wages of Rp. 175,000 (one hundred and seventy five) per day. Based on the application of the Hungarian method, it is effective in determining an assignment and placement of workers so that they can work more effectively on a better and optimal Frozen Food ordering process.
Bayu Yasa Wedha, Daniel Avian Karjadi, Alessandro Enriqco Putra Bayu Wedha, Handri Santoso
Published: 1 April 2022
SinkrOn, Volume 7, pp 448-454; https://doi.org/10.33395/sinkron.v7i2.11375

Abstract:
The development of the Generative Adversarial Network is currently very fast. First introduced by Ian Goodfellow in 2014, its development has accelerated since 2018. Currently, the need for datasets is sometimes still lacking, while public datasets are sometimes still lacking in number. This study tries to add an image dataset for supervised learning purposes. However, the dataset that will be studied is a unique dataset, not a dataset from the camera. But the image dataset by doing the augmented process by generating from the existing image. By adding a few changes to the augmentation process. So that the image datasets become diverse, not only datasets from camera photos but datasets that are carried out with an augmented process. Camera photos added with painting images will become still images with a newer style. There are many studies on Style transfer to produce images in drawing art, but it is possible to generate images for the needs of image datasets. The resulting force transfer image data set was used as the test data set for the Convolutional Neural Network classification. Classification can also be used to detect specific objects or images. The image dataset resulting from the style transfer is used for the classification of goods transporting vehicles or trucks. Detection trucks are very useful in the transportation system, where currently many trucks are modified to avoid road fees
Muhammad Rizki, Dewi Anggraeni, Akmal Akmal
Published: 26 March 2022
SinkrOn, Volume 7, pp 333-340; https://doi.org/10.33395/sinkron.v7i2.11342

Abstract:
: Home Industry Jangek Fauzi Crackers is a home industry that produces jangek crackers, where the products will be marketed and sold in various places such as shops and stalls. Home Industry Crackers Jangek Fauzi continues to try to expand its target market outside the city. Ordering jangek crackers here is still done manually. To achieve its goal, Jangek Fauzi Cracker Home Industry needs a website. Currently at Home Industry Crackers Jangek Fauzi in making sales reports is still manual using the excel application so that the processing of sales report data is still slow and not detailed. Currently, Jangek Fauzi Crackers Home Industry does not have specific activities or strategies that handle marketing, product marketing is done conventionally by means of customers providing information about places, features and products to other potential customers. Dissemination of ineffective information makes customers not aware of the latest information on the Home Industry of Jangek Fauzi Crackers, thus influencing customers to switch to other factories. With a website using the Customer Relationship Management (CRM) method, the data storage process can be more accurate and neatly stored and the making of sales reports will be fast and timely and the delivery of promotional information will be faster and the response to sales will be faster.
Nurfadillah Tanjung, Deci Irmayani, Volvo Sihombing
Published: 1 January 2022
SinkrOn, Volume 7, pp 274-280; https://doi.org/10.33395/sinkron.v7i1.11259

Abstract:
Computer system architecture is one of the subjects that must be taken in the informatics engineering study program. In the study program the graduation of each student in the course is one of the important aspects that must be evaluated every semester. Graduation for each student / I in the course is an illustration that the learning process delivered is going well and also the material presented by the lecturer in charge of the course can be digested by students. Graduation of each student in the course can be predicted based on the habit pattern of the students. Data mining is an alternative process that can be done to find out habit patterns based on the data that has been collected. Data mining itself is an extraction process on a collection of data that produces valuable information for companies, agencies or organizations that can be used in the decision-making process. Prediction of graduation with data mining can be solved by classifying the data set. The C5.0 algorithm is an improvement algorithm from the C4.5 algorithm where the process is almost the same, only the C5.0 algorithm has advantages over the previous algorithm. The results of the C5.0 algorithm are in the form of a decision tree or a rule that is formed based on the entropy or gain value. The prediction process is carried out based on the C5.0 algorithm classification using the attributes of Attendance Value, Assignment Value, UTS Value and UAS Value. The final result of the C5.0 algorithm classification process is a decision tree with rules in it.
Fatmariani Fatmariani
Published: 1 January 2022
SinkrOn, Volume 7, pp 290-296; https://doi.org/10.33395/sinkron.v7i1.11295

Abstract:
Garbage is a leading problem polemic that always exists in the surrounding environment, with the amount of garbage the more pollution that causes disasters, one of which is flooding. Garbage itself is divided into organic waste and non-organic waste. Organic waste itself can be processed into compost, while non-organic waste can be recycled, one of which is handicrafts. The purpose of this research is to create an android-based application that is used to provide information and procedures for recycling waste. The method used is RAD, namely planning, design, and implementation. The results obtained in this study are an application that contains information that can be used by the community in recycling waste.
Yuda Agatha Sinulingga, Volvo Sihombing, Deci Irmayani
Published: 1 January 2022
SinkrOn, Volume 7, pp 281-289; https://doi.org/10.33395/sinkron.v7i1.11260

Abstract:
Assets are one of the supporting equipment for business processes in a higher education organization. Asset management requires a system that is organized systematically so that the tracing process becomes more effective and efficient. In this case, asset management can be implemented in a web-based information system. The development of a web-based asset management information system is carried out using the waterfall method, and for decision making in asset procurement priorities using the Analytical Hierarchy Process (AHP) method. The system development process uses the Codeigniter framework based on PHP and MySQL. The result of this development is a web-based asset management information system that is used to optimize asset tracking which is implemented at ITS NU Pekalongan
Poningsih Poningsih, Muhammad Ridwan Lubis
Published: 1 January 2022
SinkrOn, Volume 7, pp 267-273; https://doi.org/10.33395/sinkron.v7i1.11205

Abstract:
Along with the development of technology and information that is growing rapidly, currently the competition between educational institutions is getting stronger. If an institution is not able to keep up with the progress of information technology which is developing very quickly, it is certain that the institution will be left very far behind from all sides. However, there are things that really need to be considered due to the development of information technology, namely the consideration of the security of information systems owned by the Institution. For that we need an analysis and evaluation of the information system used to identify security in the information system. If the analysis and evaluation is not carried out, problems will arise related to the security of an information system such as data that is vulnerable to threats such as damaged and lost data so that the data becomes invalid. If the data is not valid, it is certain that the information generated will also not be reliable. Evaluation of information system security can be done with the framework. NIST is a framework that can be used to evaluate and identify security and risks in information systems. The information system security evaluation process is carried out by distributing questionnaires to the academic community in accordance with the NIST SP 800-26 framework and the data is managed to obtain the final result. The results of the academic information system security evaluation have an overall final score of 91.6%. The total value is obtained from the results of the number of calculations based on 3 components of the criteria tested, namely management control, operational control, and technical control. And from the 3 assessment criteria there are 17 sub-criteria that exist in each criterion. Based on this data, the security of the academic information system at AMIK Tunas Bangsa is included in the level 2 category, namely Documented Procedures.
Fevi Ariska, Volvo Sihombing, Irmayani Irmayani
Published: 1 January 2022
SinkrOn, Volume 7, pp 256-266; https://doi.org/10.33395/sinkron.v7i1.11261

Abstract:
Technological advances supported by human knowledge have a very good influence on data and information storage technology, including in predicting student graduation (Graduation Prediction) on time, by applying several existing algorithms. In this study, researchers used the C5.0 Algorithm and Linear Regression. The concept of the research is to compare two algorithms, namely C5.0 and Linear Regression to the case of graduating students on time. Based on the length of study, students who graduated correctly amounted to 651 (91%) with a male gender of 427 students and a female gender of 224 students while those who did not pass (late) correctly amounted to 64 (9%) with a male gender totaling 53 students and female gender totaling 11 students from 2017-2020. Comparison results The R2 score from the C5.0 algorithm reached 96.85% (training) and 93.
Iin Fiqha, Gomal Juni Yandris, Fitri Aini Nasution
Published: 1 January 2022
SinkrOn, Volume 7, pp 248-255; https://doi.org/10.33395/sinkron.v7i1.11254

Abstract:
Higher education institutions are required to be providers of quality education. One of the instruments used by the government to measure the quality of education providers is the number of graduates. The higher the graduation rate, the better the quality of education and this good quality will positively affect the accreditation value given by BAN-PT. Therefore, in this study, researchers provide input for research conducted at Bhayangkara University, Greater Jakarta to predict student graduation rates using the Neural Network algorithm. Neural Network is a method in machine learning developed from Multi Layer Perceptron (MLP) which is designed to process two-dimensional data. Neural Network is included in the type of Deep Neural Network because of the depth of the network level and is widely implemented in image data. Neural Network has two methods; namely classification using feedforward and learning stages using backpropagation. The way Neural Network works is similar to MLP but in Neural Network each neuron is represented in two dimensions, unlike MLP where each neuron is only one dimension. The prediction accuracy obtained is 98.27%. unlike MLP where each neuron is only one-dimensional. The prediction accuracy obtained is 98.27%. unlike MLP where each neuron is only one-dimensional. The prediction accuracy obtained is 98.27%.
Andini Yulistia Ningsih, Volvo Sihombing, Sahat Parulian Sitorus
Published: 1 January 2022
SinkrOn, Volume 7, pp 196-203; https://doi.org/10.33395/sinkron.v7i1.11257

Abstract:
The library plays a role in helping students to enjoy reading books. The availability of books in various fields motivates students to come to visit the library, students / i can read or borrow library books. For this reason, the purpose of this research was carried out including helping library officials apply the rules of how to visit the libraries. In carrying out research methods, including conducting direct observations, conducting interviews to collect the necessary data. The pattern that will be analyzed is the pattern of borrowing what books are often borrowed so that library officials know the information of books that are often borrowed. The result obtained is with the application of a priori algorithms, book data is processed to produce a pattern of borrowing books. After all high frequency patterns are found, then the association rules are sought that meet the minimum requirement for associative confidence A→B minimum confidence = 25%. The final association rules are ordered based on minimum support and minimum confidence, if borrowing IPA, then borrowing MTK Support = 15%, Confidence = 42.8%.
Susi Astriani, Indri Astuti, Aloysius Mering
Published: 1 January 2022
SinkrOn, Volume 7, pp 176-184; https://doi.org/10.33395/sinkron.v7i1.11268

Abstract:
This study aims to develop learning media for Lectora Inspire. This study used a research and development (R&D) method and was developed using the dick and carey model into 3 stages, namely the pre-development stage, product development and revision and evaluation trials. Based on the results of data analysis after the product has been validated by the validator, the final product has met the appropriate criteria with an average score of 3.78 for media experts, 3.78 for material experts, and 3.69 for learning design experts. very valid criteria. The results of students' responses to individual group trials were 89.3%, for medium group trials of 92.56% and teacher responses to field trials of 96.53%. Thus, the learning media Lectora Inspire developed is valid, practical and effective enough to be used in social studies learning.
Rudi Salam, Sri Rahmawati, Nanda Novita, Habib Satria, Muhammad Rafi’I
Published: 1 January 2022
SinkrOn, Volume 7, pp 214-221; https://doi.org/10.33395/sinkron.v7i1.11276

Abstract:
Technology Management is used to adapt to changing environmental conditions and technological advances and to create current transformations. Based on dynamic capability theory, this paper considers technology management as capability and measures it through the technology adoption capability maturity model to investigate the relationship between technology management practice and performance. Findings from empirical studies confirm that technology management in particular technology adoption is an important source of competitive advantage and contributes to the success of an online learning process in a positive way. The learning model presented by the lecturer in learning each material with all students uses online without any face-to-face activities. At the level of success, the lecturer felt that the learning he had done during the last few days was mostly only around 45% - 50% of the total material that had been explained The negative impact felt by students is the ineffectiveness of online learning methods because lecturers and students cannot discuss actively and are constrained by time constraints on several online learning applications. addition, students feel less free to ask lecturers about materials that are not understood because they are only limited by typing WhatsApp group conversations, the quota runs out, and the number of assignments given to students is the most noticeable obstacle.
Sugiyono Sugiyono, Aunurahman Aunurahman, Indri Astuti
Published: 1 January 2022
SinkrOn, Volume 7, pp 204-213; https://doi.org/10.33395/sinkron.v7i1.11272

Abstract:
This research refers to the design of research and development   (R&D), meaning the research method used to produce the product and then test the effectiveness of the product. According to Borg and Gall (2003: 569), the design used in this study was using the design of the ADDIE learning model. These researches have proposed an integrated model between ADDIE learning designs to address their weaknesses, and leverage their strengths in guiding the process of developing training multimedia content for learning, which requires incorporatingthe needs of thetraining pe at the design stage. In this development research data collection instrument using observation teknik with observation sheet tool,. The data analysis used in this study is qualitative and quantitative. Qualitative data analysisin this study willbe conducted to find out from validation experts on the design of student discipline character training at pontianak state police school (SPN). Quantitativedata analysis techniques to find out how validation results from experts or validators against multimedia character training of quantitatively analyzed student disciplines. Quantitative data analysis techniques are carried out to find out how the results of validation from experts on the quality of multimedia training that has been designed and tested with students. The result of this study is the effectiveness of learning is the level of success that can be achieved from a particular learning method in accordance with the learning objectives that have been planned. And this can also be interpreted that a learning medium can be said to be effective when meeting criteria, achieving goals, including being able to provide influence, change or can bring results, then effectiveness can be seen from how far the goal is achieved. The more goals achieved, the more effective the multimedia training is used.
Halim Maulana, Al-Khowarizmi Al-Khowarizmi
Published: 1 January 2022
SinkrOn, Volume 7, pp 222-231; https://doi.org/10.33395/sinkron.v7i1.11206

Abstract:
In educational institutions, it is important to evaluate the performance of lecturers. One aspect that can be used as a reference in assessing the performance of lecturers is the assessment in terms of teaching (learning - teaching process). Value data in the learning evaluation process can be further processed to classify or map the results of the learning evaluation. In this study, the authors use Data Science and Exploratory Data Analysis (EDA) techniques and apply the K-Means++ clustering algorithm using the Java programming language to determine the value of the learning process. group learning evaluation data. To determine the number of clusters to be formed, the elbow method is applied. Meanwhile, to measure the quality of each cluster formed, the silhouette coefficient method is applied. The elbow graph can visualize the Sum of Square Error (SSE) value as a way to determine the best k value in the clustering process. From the tests carried out 12 times, using 6 datasets with variations in 4 areas of assessment, 10 tests resulted in a value of k = 3, 10 tests produced a value of k = 4, and 1 test resulted in a value of k = 5 as the best number of clusters. In the cluster quality measurement process, 13 tests have good clustering quality, because on average they produce clusters that have a good structure with a Global Silhouette Coefficient > 0.65.
Indriani Indriani, Muhammad Halmi Dar, Irmayanti Irmayanti
Published: 1 January 2022
SinkrOn, Volume 7, pp 165-175; https://doi.org/10.33395/sinkron.v7i1.11263

Abstract:
During the Covid-19 pandemic, which has not yet ended, the business of selling honey is a type of business that is able to survive and even increase its market. The trend of selling honey in the era of the Covid-19 pandemic is quite stable and has the potential to be a good source of income because honey can be used as medicine and can increase the body's immunity. Fitorajo Bee Farm is a UMKM engaged in bee cultivation which is located in Pinang City, South Labuhanbatu Regency, North Sumatra Province with original honey bee products packaged in plastic bottle containers. The marketing system carried out by Fitorajo Bee Farm is carried out through word of mouth, Facebook social media, or through the WhatsApp application. Seeing the promising potential of the honey business in the Covid-19 pandemic era, and in order to reach a wider market, Fitorajo Bee Farm should improve and innovate by adopting e-commerce technology. Conventional marketing, which so far only reaches consumers on a limited scale, must be changed with a marketing system that can reach consumers from any corner. The purpose of this research is to build a marketing media for Fitorajo Bee Farm honey bees by implementing web-based e-commerce. The system development method used is the waterfall model, while the programming language used is PHP framework codeigniter with MySQL DBMS. The results showed that the codeigniter framework and MySQL DBMS can be applied to build e-commerce web-based honey bee marketing media.
Helmi Roichatul Jannah, Sri Kusumadewi, Raden Edi Fitriyanto
Published: 1 January 2022
SinkrOn, Volume 7, pp 185-195; https://doi.org/10.33395/sinkron.v7i1.11267

Abstract:
Stunting is one of the chronic nutritional problems in which the length or height of children is shorter than normal children their age. In the short term, stunting can interfere with brain and physical development, while in the long term, stunting can reduce a person's cognitive abilities and intelligence, as well as being susceptible to various diseases. Stunting cannot be cured, but it can be optimized for growth and development during the 1000 first days (first day of life) by routinely carrying out examinations. This is the goal of this study, namely to build a system that can monitor the health of pregnant women and toddlers aged 0-24 months in an effort to optimize the growth and development of stunting children. Stunting management monitoring system is carried out based on certain nutritional status management which indicates the birth of a child experiencing stunting. The system is built in the form of a website, where expert rules related to the management of nutritional status are translated into the system using the Rule Based Reasoning method. To measure the success of the system, usability testing or functional testing by users is carried out with the attributes of testing the ease of use of the system and the ease of the system to learn. Overall, the Stunting management monitoring system can accommodate the early stages of health monitoring in 1000 first days, however, development will continue in line with user needs.
Yunita Sari Siregar, Mufida Khairani, Herlina Harahap, Yessy Fitri Annisa Lubis
Published: 1 January 2022
SinkrOn, Volume 7, pp 232-242; https://doi.org/10.33395/sinkron.v7i1.11286

Abstract:
Collecting data partially or completely illegally without the permission of the owner causes losses to the copyright owner. This has a big impact in proving ownership of a digital media. To be able to prove ownership of the copyright, the Discrete Cosine Transform watermarking technique can be used by inserting the Blowfish cryptographic algorithm. Discrete Cosine Transform (DCT) is a method that converts digital data into the form of a frequency domain. The method used in the DCT transformation technique is to break the digital image into small blocks with a fixed size and then convert it from the spatial domain to the frequency domain. Blowfish works by dividing the message into 64-bit blocks of equal length with varying aty lengths that encrypt the data in 8 byte blocks. Messages that are not multiples of 8 bytes will be added extra bits (padding), so that the size for each block is the same. After the final result is obtained, the value is inserted into the digital video without destroying the original digital video. From the research that has been done in the implementation of digital video watermarking, it can be concluded that the Blowfish cryptography method and the Discrete Cosine Transform (DCT) watermarking cryptography method can be applied properly. In the watermarking process, digital image insertion does not damage the watermaratd video and at the security level it is provided with blowfish cryptographic encryption, so that it can increase security in copyright protection
Muhammad Efendi, Volvo Sihombing, Sahat Parulian
Published: 1 January 2022
SinkrOn, Volume 7, pp 243-247; https://doi.org/10.33395/sinkron.v7i1.11256

Abstract:
Personal data is often the target of irresponsible people to misuse. The theft is carried out to profit from the person who has the data. In addition to the theft of work files, theft is also carried out on video files. The theft of this file aims to find out what the contents of the video are. Someone has a private video recording that should not be known by others. Misuse of video files will be fatal for the owner of the video. Cryptographic techniques are needed in video security. Caesar Cipher algorithm can help users in securing the video file. The Base64 algorithm can be used to change the ASCII 256 format to Base64 so that it is easy to send or store in a storage media. This algorithm will make the file structure simpler so that it can be displayed and saved. By applying the Base64 algorithm and Caesar Cipher on video files, the security and confidentiality of the files will be guaranteed
Handhy Nur Prabowo, Resad Setyadi, Wahyu Adi Prabowo
Published: 16 October 2021
SinkrOn, Volume 7, pp 49-58; https://doi.org/10.33395/sinkron.v7i1.11217

Abstract:
Indonesia is a country with unique tourist destinations from each region. The tourism sector has an impact on the Indonesian economy which can encourage economic growth and increase the country's foreign exchange from foreign tourist visits. Tourism growth in Indonesia was disrupted due to the Covid-19 pandemic with the imposition of major social restrictions which resulted in a decrease in tourist visits and the paralysis of the tourism sector. Based on the problems described above, the authors are interested in conducting research in order to classify data on foreign tourist arrivals based on the entrance of foreign tourist arrivals. This research uses data mining method and K-Means Algorithm to form 5 clusters. The 5 clusters are divided into groups of tourist entrances which are categorized as very high (C1), high (C2), moderate (C3), low (C4) and very low (C5). In forming the 5 clusters, the researchers used Ms. Excel and Rapidminer 10.1 to process data. The results of this study obtained that the tourist entrance group was categorized as very high (C1) with 1 data, high (C2) with 1 data, moderate (C3) with 1 data, low (C4) with 1 data and very low (C5). ) that is with 21 data. This study aims to provide suggestions and future considerations to the Ministry of Tourism and Creative Economy of the Republic of Indonesia (Kemenparekraf) to carry out policies so that the Indonesian tourism sector can return to normal.
Fachru Dahri, Andi Marwan El Hanafi, Divi Handoko, Nur Wulan
Published: 16 October 2021
SinkrOn, Volume 7, pp 76-82; https://doi.org/10.33395/sinkron.v7i1.11229

Abstract:
Building a learning system using the Learning Management System is already too much but there are many problems that make people think about using it because it is difficult to maintain the system, so to build a system takes a lot of time because the basis for developing the system is monolith-based and difficult to develop if the system development team grows or change. Learning Management System needs to be implemented for easy access to learning because online learning is very important to be a good alternative. From these problems led to the idea to create a Learning Management System in which it can solve services and communicate between services to facilitate efficient development. This study aims to apply the Web Service Implementation Methodology used in building a Learning Management System for an E-Course that facilitates online learning by implementing web services. To perform inter-service solving the methodology used in making this application is the web service method which is implemented on the microservices architecture. Programming languages for differentiating services are PHP and JavaScript. For the user interface, ReactJS is used as the API data manager for each service and the database uses MySQL. This application will later be used as a medium to facilitate online learning, there are members (users) as student actors and admins to manage mentor and course data that will be displayed.
Mariza Devega, Zamzami Zamzami, Yuvi Darmayunata
Published: 16 October 2021
SinkrOn, Volume 7, pp 120-127; https://doi.org/10.33395/sinkron.v7i1.11247

Abstract:
Increasing patient satisfaction in this case, especially Puskesmas as the government agency that provides health services for the community, will certainly have an impact on the quality of service from the Puskesmas Itself. One of them with an efficient queuing system. A good queue will support regularity in an agency. Previously, analysis and calculation of queuing time had been carried out using the Kolgomorov-Smirnov compatibility test at the Puskesmas Siak Hulu I Kabupaten Kampar- Riau, and the results obtained an average of six working hours of patient care. This research is a pilot project that was carried out as a form of increasing effectiveness and efficiency in Puskesmas. The research has been completed and the results are the basis for this research and further research. The purpose of the current research is to make an online queuing system design, where later the results of this design are used to create a web-based online queuing system. The design is adapted to the existing queuing model at the Puskesmas, namely the Sigle Channel-Multi Steps queuing model. System development using System Development Life Cycle (SDLC) consisting of, analysis, design, implementation, and maintenance. The design phase is carried out in three stages, namely conceptual modeling, database design, and interface design. The design starts from making the proposed Rich-Picture, then carries out the predetermined design stages. With this design, it is hoped that in the future it will facilitate the process of developing a web-based online queuing system.
Mochzen Gito Resmi, Meriska Defriani
Published: 16 October 2021
SinkrOn, Volume 7, pp 128-135; https://doi.org/10.33395/sinkron.v7i1.11207

Abstract:
Refratech Mandala Perkasa (RMP) is a refractory cement manufacturing company. The company also operates in the manufacture of refractory cement made for repair of hot coatings, boilers, rotary kilns, incinerators, ovens and chemicals for steel metals, as well as ferrous & non ferrous foundries. In this company there are contract employees and permanent employees, contract employees are employees or workers whose working period is limited by a certain time according to the agreement within the company. While permanent employees are workers whose working period is approximately until they receive certain benefits according to the work agreement. This research was conducted to assist companies in decision support using the Topsis method in determining the appointment of contract employees to permanent employees based on predetermined criteria, namely Knowledge and Skills at work, Quantity and Quality of Work, Job Responsibilities, Initiatives in Work, and Compliance. on rules or discipline. The results of this study indicate that the determination of the ranking of prospective permanent employees can be obtained from the calculation results of the TOPSIS method, where the results of prospective employees are based on predetermined administrative criteria. Prospective permanent employees who have the highest rank have the right to be selected first. The accuracy of the implementation of the TOPSIS method on the system plays a major role in the effectiveness and efficiency of the company's services to consumers compared to before the system was implemented. With the implementation of this DSS system, it can help companies to make it easier to make decisions to survey prospective permanent employees and optimize employee performance. GS Cited Analysis
Nur Ghaniaviyanto Ramadhan, Teguh Ikhlas Ramadhan
Published: 16 October 2021
SinkrOn, Volume 7, pp 39-45; https://doi.org/10.33395/sinkron.v7i1.11204

Abstract:
A movie is a spectacle that can be done at a relaxed time. Currently, there are many movies that can be watched via the internet or cinema. Movies that are watched on the internet are sometimes charged to watch so that potential viewers before watching a movie will read comments from users who have watched the movie. The website that is often used to view movie comments today is IMDB. Movie comments are many and varied on the IMDB website, we can see comments based on the star rating aspect. This causes users to have difficulty analyzing other users' comments. So, this study aims to analyze the sentiment of opinions from several comments from IMDB website users using the star rating aspect and will be classified using the support vector machine method (SVM). Sentiment analysis is a classification process to understand the opinions, interactions, and emotions of a document or text. SVM is very efficient for many applications in science and engineering, especially for classification (pattern recognition) problems. In addition to the SVM method, the TF-IDF technique is also used to change the shape of the document into several words. The results obtained by applying the SVM model are 79% accuracy, 75% precision, and 87% recall. The SVM classification is also superior to other methods, namely logistic regression.
Febri Aldi
Published: 16 October 2021
SinkrOn, Volume 7, pp 111-119; https://doi.org/10.33395/sinkron.v7i1.11242

Abstract:
The current development of information technology on the activities of people's daily lives is very influential. Where in doing an activity that takes a lot of time can be shortened to complete it. One of the things that we can see at this time is in the field of education. Education service technology is feasible if the government, education service providers, and the community all work together. The problem is how to build information system technology that can provide educational service processes without intervening in existing operational standards. The New Student Admissions Information System is a website-based platform designed to enable public access to information about schools and the new student registration process. The waterfall approach was used to construct this information system, together with the PHP programming language, the Codeigniter 3 framework, the MVC pattern, and the MySQL database. The results obtained in the form of a new student admission information system website that provides services related to registration, and processing of registration data by the school administration. With this research, it is expected to facilitate new student admission officers at Al Azhar Islamic Elementary School 32 Padang to process data well, and help parents to register their children as new students at Al Azhar Islamic Elementary School 32 Padang.
Riyadh Arridha, Titing Magfirah, Carlina Dewi Hayunada, Diah Astuti
Published: 16 October 2021
Abstract:
The rapid development of technology greatly affects people's lives today, one of which in Fakfak City has all been entered by the development of information technology. Fakfak is one of the regencies on the Papua island, the people of Fakfak Regency highly uphold religious values ​​and it is proven by the motto "Satu Tungku Tiga Batu". In Fakfak Regency, one of the the problems faced by some people is the search of worship places that must be done manually, by asking people around, or by looking at a map. In addition, some places of worship have historical values ​​that need to be known by many people. For example, the oldest mosque in Papua and West Papua is in Fakfak Regency. Regarding to this problem, an information system was created that can display information about places of worship in Fakfak. The method used in this research is a waterfall process model. This application is tested using black box methods and questionnaires. The result reveals that an Android-based application of the Geographic Information System for Places of Worship in Fakfak Regency can help to make it easier for tourists and the Fakfak community to find and obtain information related to places of worship in Fakfak. The results of the black box test state that the functions of the application are running well. The questionnaire test gave results from questions filled out by 20 respondents who stated that the application of the Geographic Information System for Places of Worship was suitable to use by the Fakfak community in obtaining information about places of worship and information on religious history and making it easier for users to find the location of the worship places they wanted to visit.
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