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Oppi Anda Resta, Addin Aditya, Febry Eka Purwiantono
Published: 1 April 2021
SinkrOn, Volume 5, pp 305-313; doi:10.33395/sinkron.v5i2.10909

Abstract:
The main requirement for graduation from students is to make a final scientific paper. One of the factors determining the quality of a student's scientific work is the uniqueness and innovation of the work. This research aims to apply data mining methods to detect similarities in titles, abstracts, or topics of students' final scientific papers so that plagiarism does not occur. In this research, the cosine similarity method is combined with the preprocessing method and TF-IDF to calculate the level of similarity between the title and the abstract of a student's final scientific paper, then the results will be displayed and compared with the existing final project repository based on the threshold value to make a decision whether scientific work can be accepted or rejected. Based on the test data and training data that has been applied to the TF-IDF method, it shows that the percentage level of similarity between the training data document and the test data document is 8%. This shows that the student thesis is still classified as unique and does not contain plagiarism content. The findings of this study can help the university in managing the administration of student theses so that plagiarism does not occur. Furthermore, it is necessary to study further adding methods to increase the accuracy of system performance so that when the process is run the system will work faster and optimally.
Fricles Ariwisanto Sianturi, Petti Indrayati Sijabat, Amran Sitohang
Published: 1 April 2021
SinkrOn, Volume 5, pp 251-259; doi:10.33395/sinkron.v5i2.10863

Abstract:
It is difficult to predict to do a random sampling technique with the consideration that the existing population is very large, so it is not possible to study the existing population. Thus, in the form of a population representative, this research is part of the total customers who stay at Graha Buana Hotel Medan. The decisions taken must consider well based on the data that is held, especially those that are closely related to the hotel service system. The stages of research carried out in research are to conduct interviews by direct questioning to the section related to research, direct observation of events that occur at the research site, analyzing and designing and making applications and testing applications. The Rough Set method is one of the methods above that allows us to make decisions in hotel services because in this method there are formulations or stages of problem mechanics and there is a result (decision) from a possible combination of the above criteria. From the results (decisions) that come from the processed data mining, it can be used as a reference for decision making. The results obtained in this study are finding a rule with the rough set method used to obtain the results of each criterion for service satisfaction results. The results obtained in this study are finding a rule with the rough set method used to obtain the results of each criterion for service satisfaction results.
Linda Marlinda, Muhamad Fatchan, Widiyawati Widiyawati, Faruq Aziz, Wahyu Indrarti
Published: 1 April 2021
SinkrOn, Volume 5, pp 275-281; doi:10.33395/sinkron.v5i2.10933

Abstract:
Mango contains about 20 vitamins and minerals such as iron, copper, potassium, phosphorus, zinc, and calcium. The freshness of the ripe mango will taste sweet. The level of ripeness of the mango fruit can be seen from the texture of the skin and skin color. Ripe mangoes have a bright, fragrant color and a smooth skin texture. The problem found in mango segmentation is that the image of the mango fruit is influenced by several factors, such as noise and environmental objects. In measuring the maturity of mangoes traditionally, it can be seen from image analysis based on skin color. The mango peel segmentation process is needed so that the classification or pattern recognition process can be carried out better. The segmented mango image will read the feature extraction value of an object that has been separated from the background. The procedure on the image that has been analyzed will analyze the pattern recognition process. In this process, the segmented image is divided into several parts according to the desired object acquisition. Clustering is a technique for segmenting images by grouping data according to class and partitioning the data into mango datasets. This study uses the Fuzzy C Means method to produce optimal results in determining the clustering-based image segmentation. The final result of Fuzzy C-based mango segmentation processing means that the available feature extraction value or equal to the maximum number of iterations (MaxIter) is 31 iterations, error (x) = 0.00000001, and the image computation testing time is 2444.913636
Febrianty Febrianty, Hendra Hadiwijaya, D. Tri Octafian
Published: 1 April 2021
SinkrOn, Volume 5, pp 282-293; doi:10.33395/sinkron.v5i2.10783

Abstract:
This study aims to measure the User Experience of e-school in supporting blended learning during the Covid-19 Pandemic. The object of this research is the parent school of LPKA Class I Palembang, namely: SDN 25, SMPN 22, and SMAN 11 Palembang. Because of this, all of the parent schools implemented an e-school web system adapted from the LPKA Class I Palembang filial e-school. The method used in this study was UEQ which was introduced by (Schrepp, 2018). The results of UEQ measurements on parent-school students show that: a). web e-school SDN 25 Palembang, on the scale of attractiveness, clarity, and accuracy are categorized as "above average" while the scale of efficiency, stimulation, and novelty are categorized as "good". b). web e-school SMPN 22 Palembang, on the scale of attractiveness, clarity, and efficiency are categorized as "above average" while the scale of accuracy and stimulation are categorized as "good". For novelty scale in the "Excellent" category. c). Web e-school of SMAN 11 Palembang, on a scale of attractiveness, efficiency, stimulation, and novelty is categorized as "good" while clarity and accuracy are categorized as "above average". For novelty scale in the "Excellent" category. Meanwhile, what parent-school teachers feel about the e-school web, on a scale of attractiveness, clarity, efficiency, accuracy, and novelty are categorized as "above average". Meanwhile, the other scale, stimulation, is categorized as "below average". So in other words, the web-adapted e-school from the LPKA Class I Palembang filial e-school as a whole has been able to support Blended-Learning learning during the Covid-19 Pandemic, although improvements still need to be made.
Nina Sari, Volvo Sihombing, Deci Irmayani
Published: 1 April 2021
SinkrOn, Volume 5, pp 325-331; doi:10.33395/sinkron.v5i2.10903

Abstract:
Tuberculosis is an infection caused by acid-resistant bacilli or an infectious disease that can attack anyone through the air is also a dangerous infectious disease besides it is also a chronic or chronic disease that can strike between the ages of 15-35 years. The purpose of this study is to help prevent tuberculosis by implementing an expert system using the Bayes method. The method used in this research includes identifying problems faced in the medical world for treating tuberculosis, analyzing the problem, then formulating the problem and applying an expert system with the Bayes method to solve the problems that are obtained, the next stage is designing an application as needed, testing the application with the aim of knowing the success rate of the system. The implementation of the Bayes method in diagnosing tuberculosis is found. The result is that the calculation process using the Bayes method is based on the symptoms experienced by the patient. It can be seen that the patient is "most likely" to have pulmonary tuberculosis with a confidence value of 0.64 or 64%. From the results of the research conducted, it can be concluded that in diagnosing Tuberculosis by using the Bayes method expert system, it can help medical parties handle cases more quickly in terms of recognizing the symptoms of Tuberculosis so that people quickly know the disease they are experiencing.
Mawaddah Harahap, Valencia Angelina, Fenny Juliani, Celvin Celvin, Oscar Evander
Published: 1 April 2021
SinkrOn, Volume 5, pp 314-324; doi:10.33395/sinkron.v5i2.10939

Abstract:
Grapes are one type of fruit that is usually used to make grape juice, jelly, grapes, grape seed oil and raisins, or to be eaten directly. So far, checking for disease in grapes is still done manually, by checking the leaves of the grapes by experts. This method certainly takes a long time considering the extent of the vineyards that must be evaluated. To solve this problem, it is necessary to apply a method of detecting grape disease, so that it can help the common people to detect grape disease. This research will use the Dual-Channel Convolutional Neural Network method. The process of detecting grape disease using the DCCNN method will begin with the extraction of the leaves from the input image using the Gabor Filter method. After that, the Segmentation Based Fractal Co-Occurrence Texture Analysis method will be used to extract the features, color, and texture of the extracted leaves. The result is the number of datasets will affect the accuracy of the results of disease identification using the DCCNN method. However, more datasets will cause the execution process to take longer. Changes in the angle and frequency values in the Gabor method at the time of testing will reduce the accuracy of the test results. The conclusion of this study are the DCCNN method can be used to detect the type of leaf disease in grapes and the number of datasets will affect the accuracy of the results of disease identification using the DCCNN method.
Akmaludin Akmaludin, Erene Gernaria Sihombing, Linda Sari Dewi, Rinawati Rinawati, Ester Arisawati
Published: 1 April 2021
SinkrOn, Volume 5, pp 192-198; doi:10.33395/sinkron.v5i2.10789

Abstract:
Seeing the rapid progress of software app. in today's destructive era, the need for software app. is very reliable for industrial progress in the era of the 4.0 generation. Especially in object-oriented software app. The main objective of this research is to measure the technical capabilities of object-based software app. and to find out the process of selecting the best number of app.software in terms of the appropriate price. Many techniques can be developed in object-based software app. such as class implementation, Inheritance, Encapsulation, Polymorphic, Constructor, Accessor, Mutator, Visibility, Overwrite and Overload. This technique is an advantage of object-based software app. Taking advantage of these advantages causes difficulty in selecting and evaluating software. Indeed, it is very difficult to evaluate software products, because they are qualitative. In order for the assessment to be objective, it requires good method collaboration, thus an objective method is needed in the assessment of the selection of a number of program app. The test was carried out with the Multi Objective Optimization by Ratio Analysis (MOORA) method collaborated with the Price-Quality Ration approach. The results obtained are the selection of object-based software app. that can be done optimally and provide efficiency in the benefits and costs incurred.
Macro Ramadhani, Volvo Sihombing, Masrizal Masrizal
Published: 1 April 2021
SinkrOn, Volume 5, pp 260-265; doi:10.33395/sinkron.v5i2.10907

Abstract:
Disease is very susceptible to occur in children under five because the immune system in children under five has not been fully developed. Lack of knowledge about the diseases of children under five and the symptoms they experience makes parents fearful. The lack of knowledge of children's diseases from experts can result in delayed treatment. Problems that occur can be overcome by utilizing artificial intelligence technology. One of the artificial intelligence technologies is an expert system. Information needs very quickly from an expert to deal with problems or diseases of children under five that are expected by parents or society. So that is what drives the development of a software application, namely an expert system for the identification of diseases of children under five. An expert system for the identification of toddlers' diseases is made as a tool to diagnose diseases experienced by toddlers by using the symptoms experienced by toddlers as a tool to detect diseases experienced by children under five. The system can identify 5 types of disease with 23 symptoms of disease. This expert system uses the development method of problem identification, system design, implementation and testing. Inference in this expert system uses the Bayes theorem method. This system is built with Visual Basic and Microsoft Access as the database. The results of consulting tests with this system show that the system is able to determine the disease along with the initial treatment and treatment solutions that must be carried out, based on the symptoms previously selected by the user.
Jefri Junifer Pangaribuan, Ferawaty Ferawaty
Published: 1 April 2021
SinkrOn, Volume 5, pp 208-212; doi:10.33395/sinkron.v5i2.10726

Abstract:
Students' interest in a field is usually seen from the grades resulting from students' learning in the classroom. This is a common thing for parents and teachers to do. In the research conducted by researchers this time is in the field of design studied by students in the classroom in one semester, namely the subjects Photoshop and CorelDraw. The grades taken are grades that include the value of theory, practical grades, assignments, and quiz assignments obtained by students in the classroom. The four grades will be calculated until they get a provision on whether or not the student graduates in the subject. These values will be studied by researchers using the Naïve Bayes method, so that it can be known how much can be said to pass in this design lesson. Researchers conducted research using Rapid Miner program, where the data will be divided into 2 parts, namely by using some existing data as learning samples and the rest as test data. The results obtained from the experiment were 146 students graduated in the field of design, and 119 students failed. This suggests the experiment using the Naïve Bayes method was successful if the experiment data was entered a lot
Hendra Hadiwijaya, Febrianty Febrianty, Rezania Agramanisti Azdy
Published: 1 April 2021
Sinkron, Volume 5, pp 394-304; doi:10.33395/sinkron.v5i2.10779

Abstract:
LPKA Palembang provides services to the community in the form of coaching in the fields of education, skills training, community guidance, and alleviation, services for Andikpas visits and complaints, remission submission services, assimilation, and other submissions especially to support alleviation programs such as the Conditional Leave (CB) program, Leaving Towards Free (CMB), and Parole (PB). To provide the best convenience and quality in providing services, a system is needed that can not only be used to submit and process service data online, but also can integrate service data so that it can be more easily accessed anytime and anywhere. The system created is an electronic dashboard or e-dashboard that can present data visually so that it is easily understood by readers. This study aims to build a prototype that can provide an overview of the e-dashboard system to be built. From the prototype evaluation, user feedback can be obtained which can be used to build an actual e-dashboard system so that it can reduce deviations from the system being built. The stages in this research are planning, designing, building, and evaluating the prototype. The results of this study are the development of e-Dashboard prototype that had been tested by 80% of LPKA Class I Palembang employees. The developed prototype has features that almost meet user needs because the system development is based on a quick analysis of the needs of future e-Dashboard users.
Melinda Utami, Bita Parga Zen, Yayi Sufia Rauna
Published: 1 April 2021
SinkrOn, Volume 5, pp 229-238; doi:10.33395/sinkron.v5i2.10902

Abstract:
The development of increasingly advanced technology brings great benefits to people's lives. This is evidenced by the many uses of technology in various fields of life. The development of information technology also affects people's behavior which shows a new phenomenon where several activities can be carried out online to make it more effective and efficient. This also happens in the field of law, with the term e-legal services. The process of digitizing legal services can be realized if there is good support from the government, legal service providers, and the community. The government itself has provided laws and regulations that discuss legal digitization. Data and information are collected in two ways, interviews and literature study. By using the waterfall software development method, the Notoaturan website is built using the PHP programming language, with the Codeigniter 3 framework with MySQL database. The results obtained are in the form of a notoaturan website that provides services related to notaries and lawyers. Notary provides a process for ordering notary services such as creating a business entity, creating a CV, making a PT, and others, as well as providing services for placing an order for a lawyer starting with prior consultation. The website is also equipped with several additional services such as complaints and assistance for using the website.
Panangian Mahadi Sihombing, Maksum Pinem, Sri Indah Rezkika
Published: 1 April 2021
SinkrOn, Volume 5, pp 239-250; doi:10.33395/sinkron.v5i2.10871

Abstract:
Wireless internet service in educational buildings plays a crucial role in telecommunications for the knowledge sharing process. Therefore, various factors that may limit internet services coverage in the building should be eliminated or reduced. One such factor is path losses. Path losses are caused by multiple obstacles between the transmitting and receiving antennas. The problem of path losses in the education building can be solved by providing signal booster devices or Wireless Fidelity (Wi-Fi). But not all college buildings have such tools. Besides, WiFi devices also have limitations on bandwidth and the number of users. Thus, mobile communication devices or smartphones located inside the education buildings still need internet service coverage from the transmitter antenna outside the building. An accurate propagation model is required so that the transmitter antenna outside the building can provide internet service coverage to the inside of the building. This paper had been analyzed the selection of propagation models using three validation formulas, namely Mean Error (ME), Root Mean Square Error (RMSE), and Standard Deviation Error (SDE). This paper used several propagation models, namely the 3GPP Model, Winner+ Model, and COST231 Model. Based on the analysis of calculation and measurement data, it is known that the COST231 model is the most accurate because it has the lowest ME, RMSE, and SDE values.
Nur Ainun, Volvo Sihombing, Masrizal Masrizal
Published: 1 April 2021
SinkrOn, Volume 5, pp 239-245; doi:10.33395/sinkron.v5i2.10862

Abstract:
With so many hotels and other accommodation facilities in the city of Medan. More and more people are coming and staying and using the facilities at each hotel. Whether it's rooms, meeting room facilities, facilities to hold events, and much more are available in every hotel. Every hotel wants to give satisfaction to guests who come to use the hotel facilities and services. Likewise with SwissbeliNN hotels which have a 3 (three) star classification. Therefore, the opinions of guests and complaints given are very useful to improve the quality of hotel services. To find out, we will look at the satisfaction level of each guest. In this case, the writer applies the servqual method to see the level of guest satisfaction that has been obtained. To find out what is still lacking in the services provided. The purpose of this research is to find out the shortcomings of the hotel for the services provided to hotel visitors, as well as to fulfill the complaints of each visitor to the hotel from the results of the research carried out, with the objectives described later to be able to provide solutions to hotel leaders to fulfill the research results. obtained. The research methods carried out include collecting data directly from the hotel related to the problems that arise to be researched, literature studies, analyzing the problems to be studied based on the data collection that has been obtained, designing applications to overcome problems that arise and making it easier to find out the level of satisfaction of visitors. against managed hotels, as well as testing applications that are made to test the level of success obtained from the application being built. Based on the research conducted, the average perceived service quality score was 3.54. This score is in the somewhat unsatisfactory category when compared with the average score of service quality score which is perceived to be lower than expected. This indicates a gap. The highest average score is given to responsiveness with a value of 3.62 while the lowest score is given to the dimension of empathy with a value of 3.44.
Kartika Mariskhana, Ita Dewi Sintawati, Widiarina Widiarina, Rusdiansyah Rusdiansyah
Published: 1 April 2021
SinkrOn, Volume 5, pp 221-228; doi:10.33395/sinkron.v5i2.10867

Abstract:
The more rapid growth of information technology in the world, so that more and more people are taking advantage of this advancement in information technology in various activities of life or to solve various problems. One of them is filling positions that have not been filled for promotion processes often experience problems because the submission of prospective candidates who can occupy the position by matching employee profiles and job profiles is not resolved properly. To minimize these constraints, a decision support system is needed that can analyze employee performance in accordance with existing job profiles. The Profile Matching process is carried out to determine career planning recommendations by calculating sub-criteria from each aspect (work attitude and intellectual capacity) which consists of 4 stages including the calculation of the GAP value, the calculation of the core and secondary factor values ​​and the calculation of the total value and ranking. The results of this study will produce a form in the form of employee recommendations with the highest score of 5.4163 on behalf of Ariz and Widi which has the same numerical value as the number from the calculation method used.
Rusdiansyah Rusdiansyah, Harun Al Rasyid, Suryanto Sosrowidigdo
Published: 1 April 2021
SinkrOn, Volume 5, pp 184-191; doi:10.33395/sinkron.v5i2.10855

Abstract:
The area is the center of problems in the administrative record management of Kebayoran District, because of its dense condition and it is difficult to determine land measurements due to the density of residential areas. The problem in Indonesia to this day is that the administrative boundaries of the kelurahan already exist, but the administrative boundaries for the Rukun Warga / Rukun Tetangga (RW / RT) do not yet exist. The local government of DKI already has a large scale map (1: 1,000) to map RW administrative boundaries. Large-scale mapping (Batas RW) is useful for accurate information on incidence of dengue fever or other diseases, thereby eliminating information bias due to the use of village boundary maps. Another benefit is the accuracy of address management for customers, for example PDAM customers, to facilitate verification of customer data with large-scale maps, especially those that only include RT / RW addresses, without mentioning street names and household numbers. The method used is data mining K-Means Clustering. By using this method, the data that has been obtained can be grouped into several clusters, where the application of the KMeans Clustering process uses Excel calculations. The processed data is divided into 3 clusters, namely: high cluster (C1), medium cluster (C2) and low cluster (C3). The iteration process of this research occurs 2 times so that an assessment is obtained in classifying the household / neighborhood unit based on the Kelurahan. The results obtained are that there is 1 neighborhood unit with the highest cluster (C1), there are 4 neighborhood units with 4 medium clusters (C2), and 5 neighborhood units with the lowest cluster (C3). This data can be input to the sub-district to disseminate information about dengue fever, health education, and for the accuracy of PDAM customer address management and others.
Phindika Phindika, Yopi Handrianto, Sulaeman Hadi Sukmana
Published: 1 April 2021
SinkrOn, Volume 5, pp 213-220; doi:10.33395/sinkron.v5i2.10876

Abstract:
The procurement of an item in an agency is an activity that is commonly carried out, including in a hospital, particularly the procurement of medical equipment. The procurement of medical equipment at Pengayoman Cipinang Hospital, Jakarta currently still uses the conventional method where the process is still using the manual method, namely by relying on disposable physical items as the main resource and seems to use many procedures that require a long working time. The influx of medical equipment in very large numbers can cause many risks, such as the amount of money it costs to store medical devices and also being vulnerable to the risk of theft. The conditions mentioned above can affect the quality of health services provided by the hospital to patients who should be well preserved. One of the data processing algorithms that is often used in the data mining process is the A algorithm. The benefit is to find trends between one item and another, where more and more medical equipment appears to be used as a reference in the hospital policy process in ensuring the availability of this medical equipment when needed so that the procurement process can always be fulfilled. Based on the results of the research conducted, it was found that the medical equipment that had the most demand was Surgical Ear Loop Masks 3 (58.33%), Non-Sterile Gloves Size M (58.33%), and Surgical Tie-On 3 PLY Masks (100%)
Kristin D R Sianipar, Septri Wanti Siahaan, Indra Gunawan
Published: 1 April 2021
SinkrOn, Volume 5, pp 251-254; doi:10.33395/sinkron.v5i2.10883

Abstract:
Rumah merupakan tempat atau wadah untuk melindungi manusia dari udara panas atau dingin. Rumah tangga adalah sekumpulan orang yang berkumpul di suatu tempat dan berbagi makanan, berteduh, dan lain-lain. Orang yang tinggal serumah, ada yang tinggal di kost dan ada yang sudah memiliki status kepemilikan rumah sendiri. Penelitian yang dilakukan penulis membahas tentang Penerapan Pengelompokan Rumah Tangga Menurut Provinsi dan Status Kepemilikan Rumah Milik Dengan Menggunakan Algoritma K-Means. Data penelitian bersumber dari Badan Pusat Statistik. Data yang digunakan untuk melakukan ini adalah data persentase rumah tangga menurut provinsi dan status kepemilikan rumah sendiri tahun 1999-2019. Data terdiri dari 34 provinsi. Variabel penelitian ini didasarkan pada jumlah rata-rata persentase rumah tangga menurut provinsi dan status kepemilikan rumah milik sendiri. Pengelompokan data akan dilakukan dengan membaginya menjadi 3 cluster, yaitu status kepemilikan rumah tingkat tinggi, status kepemilikan rumah sedang, dan status kepemilikan rumah milik sendiri rendah. Hasil penelitian ini berdasarkan Indeks Rumah Tangga menurut Provinsi dan Status Kepemilikan Rumah Milik, sebanyak 12 provinsi dengan kepemilikan rumah milik sendiri tinggi yaitu 86,14, 21 provinsi dengan kepemilikan rumah milik sendiri sedang yaitu 75 , 11, dan 1 provinsi dengan kepemilikan rumah milik sendiri rendah yaitu 51,61. Adanya penelitian ini dapat membuat masyarakat lebih berpikiran terbuka tentang memiliki rumah sendiri dengan status kepemilikan. Kata kunci: Rumah Tangga; Pengelompokan; Masyarakat; Algoritma K-Means; Kepemilikan
Published: 1 October 2020
Sinkron, Volume 5, pp 129-137; doi:10.33395/sinkron.v5i1.10610

Abstract:
This study discusses the infusion detection device in a hospital room. This tool is designed to help hospital nurses to cope more quickly to avoid problems due to the infusion. Load cell sensors are used as heavy detectors that send notifications to the nurses through the telegram application that has been installed. The nurse will get a notification message sent to the telegram if the sensor has read the weight. The tool is made using a load cell sensor and NodeMCU Wi-FiESP866 which functions to send notification of the results of sensor data input to the Internet of Things (IOT) platform namely Telegram. Nurses need to be connected to the internet network to get notifications on the telegram. Test results show that the time needed to send and receive notifications on Telegram takes about 2-5 seconds. The message will be sent 3 times, first the infusion WARNING is almost exhausted (alert), second the infusion WARNING is almost exhausted (standby) and the infusion WARNING is almost exhausted (please replace). If the infusion is not replaced by the nurse, it will be warned by Buzzer. However, time can be influenced by the available internet network connectivity. However, time can be affected by the available internet network.
, Eva Zuraidah
Published: 1 October 2020
Sinkron, Volume 5, pp 152-163; doi:10.33395/sinkron.v5i1.10570

Abstract:
In recent years the existence of web-based information systems in Indonesia has increasingly felt its presence in supporting daily activities, both economic and non-economic. Manually processing data certainly cannot keep up with the need for fast, precise, and accurate presentation of information. Currently, manual data processing is considered less effective for providing reports and information for companies that are developing and have diverse transactions. The importance of Trouble Ticket Desktop Support is to make equalization of workloads that are fair and balanced besides that it is also a tool for assessment on each a technician. So with this, the author tries to examine the application of web-based technology that can be applied to problems that exist in one activity so that it can integrate the activities concerned. Ticket Desktop Support as a process to collect data from various existing sources and Desktop Support is required to be active monitor and treat user needs. With Trouble Ticket Desktop Support that is well integrated so that accessing data on Desktop Support can be done easily and quickly in order to measure the level of problems and access reports by the Head of IT Operations, as well as problems can be handled well within the scope of problem boundaries that produce the right solution to manage resources the power available, with this application it will be clear what problems are faced by the customer.
Published: 1 October 2020
Sinkron, Volume 5, pp 107-115; doi:10.33395/sinkron.v5i1.10564

Abstract:
Sentiment analysis is an important and emerging research topic today. Sentiment analysis is done to see opinion or tendency of opinion to a problem or object by someone, whether it tends to have a negative or positive view. The main purpose of this study is to find out public sentiment on Full Day school's policy comment from Facebook Page of Kemendikbud RI and to find out the performance of the Naïve Bayes Classifier Algorithm. In this study, the authors used the Naïve Bayes Classifier algorithm with trigram and quad ram character feature selection with two different training data models and labeling of training data using Lexicon Based method in the classification of public sentiment toward the Full day school policy. The result of this research shows that public negative sentiment toward Full Day School policy is more than positive or neutral sentiment. The highest accuracy value is the Naïve Bayes Classifier algorithm with trigram feature selection of 300 data training models with a value of 80%. The greater of training data and feature selection used on the Naïve Bayes Classifier Algorithm affected the accurate result.
Published: 1 October 2020
Sinkron, Volume 5, pp 92-99; doi:10.33395/sinkron.v5i1.10611

Abstract:
Automatic cocoa fermentation design is expected to facilitate the work of cocoa farmers during the process of reversing and stirring cocoa fermentation based on the right temperature. Fermentation process is of course done in a box or sack so that chocolate quickly produces heat and is cemented. However, in certain conditions, especially when in sacks there are often obstacles in the stirring process. Often the fermented chocolate experiences weathering or moldyness due to the uneven reversal that causes chocolate to clot, causing weathering or moldiness and produce an unpleasant odor and unattractive color on the cocoa beans. To overcome this problem a tool that automatically can turn or stir the cocoa beans evenly. This device is controlled by Arduino Uno R3 with a sensor that is an LM35 temperature sensor and has an LCD output and DC motor. This tool uses Relay to adjust the delay when driving a DC motor. The working principle of this tool, when the LM35 temperature sensor receives heat conditions on the cocoa beans, the LCD will display the condition of the temperature while the relay will instruct the DC motor to move the Cocoa Fermentation rail rotating left or right. The purpose of making this tool is to create a tool that can help alleviate the work of cocoa farmers in cocoa bean stirring activities at the time of cocoa bean fermentation controlled by Arduino.
Published: 1 October 2020
SinkrOn, Volume 5, pp 72-77; doi:10.33395/sinkron.v5i1.10653

Abstract:
A person who is in the elderly phase will experience various decreases, ranging from decreased memory or senility, hormone production, skin elasticity, muscle mass, bone density, strength and function of body organs, and the immune system. As a result, it is difficult for the elderly or the elderly to fight against various kinds of disease-causing bacteria or viruses, comorbidities, and adaptation to the social environment. Due to the complexity of this health problem, improvements can not only be made in the aspect of health services but also improvements in the environment and engineering of population factors or hereditary factors, but it is necessary to pay attention to behavioral factors that have a considerable contribution to the emergence of health problems. This research uses the certainty factor (CF) method which can provide a measure of belief in a symptom as a measure of how much the value is in the later diagnosis. The purpose of making this expert system is so that patients, patient families, and medical teams can monitor the health of the elderly daily. The results of this study indicate that using the CF method has an accuracy rate of 91 percent for the prediction of patients who have cholesterol
Published: 1 October 2020
Sinkron, Volume 5, pp 43-50; doi:10.33395/sinkron.v5i1.10612

Abstract:
Attendance is the fact that someone is present at an event or goes regularly to an institution, or attendance at an event is the number of people present at that time. The Saifiatul Amaliyah school itself is one of the many schools in Indonesia where the attendance of students or attendance is still done manually. This can cause problems, namely allowing fraud when filling in attendance and errors in data recapitulation. Therefore, in this study a computerized face attendance was created, which was formed using the K-Nearest Neighbor (K-NN) method and combined with the extraction of the Principal Component Analysis (PCA) feature where the attendance process can be done with a person's face. The face attendance system using the K-NN and PCA methods has an accuracy of 82%.
Published: 1 October 2020
Sinkron, Volume 5, pp 116-121; doi:10.33395/sinkron.v5i1.10649

Abstract:
A disease that is currently widespread today is caused by the spread of the coronavirus disease or what is commonly called COVID 19. This virus is very dangerous to health because it attacks organs in the human body from various sources, either from the air or direct touch. With the existence of COVID 19, it has an impact on all countries, especially the State of Indonesia, which consists of various islands, which are also affected by the COVID 19 virus. So that the central government takes a policy to carry out social distancing to every one to break the chain of spreading this virus, with this social distancing it has an impact on all activities that occur every day. As an impact on the learning process that usually takes place in class, it turns into online learning that uses several supporting applications in the learning process during the COVID 19 pandemic. With online learning from various applications, it attracts researchers to research with the K-Medoid Clustering Algorithm in using applications during the pandemic COVID 19.
Published: 1 October 2020
Sinkron, Volume 5, pp 35-42; doi:10.33395/sinkron.v5i1.10594

Abstract:
The high crime rate in Indonesia has had a bad impact and loss on society, so that various efforts have been made to increase awareness and security in society. Charity box theft is a target of crime for criminals. For this reason, it is necessary to take strict steps in terms of vigilance and security so that the crime of theft of charity boxes can be avoided. One of the steps to increase awareness and safety is to apply the concept of security to the charity box. By utilizing several supporting sensors and supporting components in the charity box, the security system will work automatically, so that if there is a charity box theft, the system will provide an SMS notification to the mosque management. This research is focused on the problem of security facilities and supervision of charity boxes in mosques or mushalla. Using this system will reduce the risk of theft of charity boxes in mosques and mushalla, because apart from being equipped with an alarm and SMS gateway, this system is also equipped with RFID so that access to open charity boxes can be safer. This form of system works if the charity box is lifted or dismantled by force, the system will provide notification in the form of an alarm and SMS, so that the crime of theft of the charity box can be more aware of.
Published: 1 October 2020
Sinkron, Volume 5, pp 122-128; doi:10.33395/sinkron.v5i1.10603

Abstract:
In the current state of COVID-19, many middle and lower-income businesses such as Micro, Small and Medium Enterprises (UMKM) have experienced a decrease in their income turnover, so that they require additional capital costs to carry on their business life. To provide additional capital loans, there are several requirements that must be met by every UMKM. Like an independent business that is carried out, whether it is permanent or only limited to domicile, then how long have they started the business they have built up to now, do they have collateral as loan guarantee, do they have a good level of business productivity during the running, seen from the report made, do you already have a lot of customers from the business you run. This is a benchmark for providing loans to UMKM. The method that can be recommended is Promethee, which is part of the Multi-Criteria Decision Making (MCDM) concept as a rating method in determining loan issues recommended by the Promethee method. The results obtained from the ranking with the Promethee method, namely that of the six selected and evaluated UMKM, the first rank was from the UMKM-3 with the highest weight value of 0.208, followed by UMKM-1 with a weight of 0.042 and followed by UMKM-5 which were still considered feasible even though they were not valuable. negative, while the other two UMKMs cannot be said to be eligible for a loan, namely UMKM-2 and UMKM-4 because they are negative.
, Rani Irma Handayani, Murniyati Murniyati
Published: 1 October 2020
Sinkron, Volume 5, pp 17-25; doi:10.33395/sinkron.v5i1.10587

Abstract:
Any company or organization that wants to survive needs to determine the right business strategy. The product sales data carried out by Lakoe Dessert Pondok Kacang will eventually result in a pile of data, so it is unfortunate if it is not re-analyzed. The products offered vary with a wide variety of products as many as 45 products, to find out the products with the most sales and the relationship between one product and another, one of the algorithms is needed in the data mining algorithm, namely the a priori algorithm to find out, and with the help of the Rapidminer 5 application, with a support value 2,4% and a confidence value 50%, products that customers often buy or are interested in can be found. This study used sales data for March 2020, which amounted to 209 transaction data. From the research, it was found that the item with the name Pudding Strawberry and Pudding Vanilla was the product most purchased by consumers. With knowledge of the most sold products and the patterns of purchasing goods by consumers, Lakoe Dessert Pondok Kacang can develop marketing strategies to market other products by analyzing the profits from selling the most sold products and anticipating running out or empty of stock or materials at a later date.
, Bayu Mukti
Published: 1 October 2020
Sinkron, Volume 5, pp 164-169; doi:10.33395/sinkron.v5i1.10621

Abstract:
The study period is quite influential in the assessment of a university. The imbalance in the ratio of students to lecturers causes the quality of teaching and learning to decline, this is because one lecturer has to manage many students. Acquisition of accreditation scores and society's assumptions about higher education are also strongly influenced by the number of student graduations on time. Therefore, the prediction of the accuracy of the study period is needed as consideration for related parties to solve the problem of student learning delay. Sources of data in this study were taken from a database stored at the University of Surakarta, namely the Temporary Achievement Index with data of 209 instances and 5 attributes. The proposed method in this study is the Sequential Minimal Optimization algorithm. The validation method uses k-fold Cross-Validation with a value of K = 10. This method is compared with other methods such as naive Bayes, KNN, and Decision Tree. The results of this study, the proposed method can predict the accuracy of the study period quite well with the acquisition of accuracy of 88.52%. However, several other methods such as NaiveBayes obtained better accuracy of 90.91%, KNN of 91.86%, and Decision Tree of 96.65%. From the results of the comparison of these methods, the Decision Tree obtained the highest accuracy value. In future studies, researchers aim to enrich features in the prediction process. These features are related to student activities, such as student backgrounds, social activities, additional activities on campus and off-campus, and other aspects.
Published: 1 October 2020
Sinkron, Volume 5, pp 7-16; doi:10.33395/sinkron.v5i1.10593

Abstract:
Limited time in consulting becomes an obstacle for midwives in diagnosing complaints in pregnant women, especially those who are already in the III trimester and approaching the labor process. Misdiagnosis results in inaccuracies in the provision of solutions and actions. Initial treatment that corresponds to the complaints of pregnant women especially the third trimester is expected to reduce mortality rates in the mother and fetus. Expert System can be a timely solution with not too long so as to improve the quality of examination on midwives. The methods used are identification, primary and secondary data collection, forward chaining data analysis combined with bayesian, and evaluation with the calculation of the percentage of system success. Samples taken by 20 patients and 4 patients were declared unsyed because they had only one complaint. Meanwhile, 16 patients had some complaints that complied with the Rules. A total of 11 out of 16 patients or about 70% had valid results between the diagnosis of experts/midwives with the system. It can be concluded that the system works well to diagnose complaints in patients with a third trimester gestational age so that midwives can provide appropriate initial solutions and treatment in reducing maternal and infant mortality.
Jarseno Pamungkas,
Published: 1 October 2020
Sinkron, Volume 5, pp 84-91; doi:10.33395/sinkron.v5i1.10599

Abstract:
To increase sales transactions, the company must be able to compete with other competitors so that it requires an appropriate strategy in carrying out the sales process carried out. In addition to the marketing strategy, the company must be able to analyze the products sold based on the number of sales that have occurred so that the company can see which products are more dominant in consumer demand so that the company can determine a more effective sales strategy. PT. Surya Indah City is a company engaged in the sale of various clothing and accessories. In an effort to increase sales of its products, an analysis is needed to be able to increase company revenue by utilizing sales transaction data it has. To analyze the relationship between clothing products and accessories which are more predominantly sold and other available clothing and accessories products, a data mining algorithm is used, namely the a priori algorithm. With the help of the tanagra application to carry out the calculation process, the dominant product that consumers are interested in can be determined. By using two variables that meet support and minimum confidence, it can be concluded that the most sold products are from the type of clothing, namely clothes and pants. It was concluded that the results of the known final association rules, if you buy a shirt, you will buy pants with 50% support and 75% confidence. If you buy pants, you will buy clothes with 50% support and 85% confidence.
Published: 1 October 2020
Sinkron, Volume 5, pp 138-145; doi:10.33395/sinkron.v5i1.10643

Abstract:
In order to motivate students to continue to excel, MTs Al Falah undertakes activities to develop students' potential through determining exemplary students. However, the decision to determine exemplary students is not based on academic and non-academic abilities, but on the subjectivity of the principal and teachers. So that many complain about the decision of the selection of exemplary students who are not well targeted or deserve to be exemplary students. There is no information system that supports the determination of exemplary students on MTs Al Falah, It is less precise in determining the exemplary students on MTs Al Falah, decision support systems in Determination of the Exemplary Students using the Simple Additive Weighting (SAW) method is based on 5 criteria, namely the value of knowledge, the value of skills, class rank, extracurricular activity, extracurricular values. The results obtained will be in the form of exemplary student rankings. Then the student who gets the highest score in five categories with a percentage of 0.97 is Afifah Angelia Azhariyanti. The Simple Additive Weight method can help the school especially in determining a number of issues regarding education, one of which is to determine exemplary students. Because this method is a weighted method of rating the performance of each alternative.
Published: 1 October 2020
Sinkron, Volume 5, pp 100-106; doi:10.33395/sinkron.v5i1.10635

Abstract:
Draining traditional boat water efficiently is sometimes considered to be of little importance to most fishermen. Because it is considered a normal thing without realizing it can be detrimental, both in terms of time and work. One of the things that often makes the use of draining water less efficient is that the draining of boat water is still done manually with human intervention. So that fishermen are preoccupied with removing puddles of boats and hindering their work. Based on the above problems, this study aims to make a traditional boat water drain control system automatically. This tool functions to control the volume of water in the boat as well as turn on and turn off the water pump engine automatically. This tool is able to remove puddles that enter the fishing boat automatically. The working principle of this tool, if the water hits the sensor ≥ 5 cm, the pump and buzzer will start and if the water doesn't hit the sensor, the pump and buzzer will automatically shut down.
Published: 1 October 2020
Sinkron, Volume 5, pp 1-6; doi:10.33395/sinkron.v5i1.10595

Abstract:
This study aims to determine the internal and external conditions faced by the Samo Samo Recycle House, as a basis for determining the appropriate alternative strategies for recycling waste business. Strategy formulation is carried out after the identification and determination of internal and external strategic factors. Internal strategic factors are then included in the IFAS (Internal Factors Analysis Summary) matrix, while external strategic factors are included in the EFAS (External Factors Analysis Summary) matrix, and the combination of the two matrices produces a Cartesisus Diagram to determine which company is in the diagram position. From the results of the calculation above, it is known that the coordinate point is located at (y = -0,12; x = 0,39). The coordinate results are presented in the SWOT matrix diagram. After knowing the meeting point of the diagonals (X), the position of the business unit is known in Quadrant II. This position shows the Samo Samo Recycling House, then in business strategies, including: Creating new designs to attract prospective buyers, Strengthening the competitiveness of commodities through improving the quality of results and business efficiency. Quality and creative human resource development
Published: 1 October 2020
Sinkron, Volume 5, pp 78-83; doi:10.33395/sinkron.v5i1.10579

Abstract:
The eye is the important senses. If the eye is disrupted and ignore it, it will disturb the sufferer. In fact, many people delay to checked eye diseases suffered, due to the lack of knowledge society, the cost is quite expensive and the imbalance between patients and doctors so that should be queued if will check the eye health. It is necessary for the expert system that can diagnose eye diseases, so a layman can be checked their eye diseases suffered without having to go to the doctors. This expert system is based on web with the programming language PHP and MySQL database. In the process of withdrawal conclusion, system using the certainty factors methodthat use a value to assume degree of confidence from an experts to a data. Expert system provides results in the form of the possibility of illness suffered, the value of the percentage of beliefs from the illness and the treatment solution based on the value of confidencethat given. So it can help the people to know the eye disease their suffered and the action can be done faster
Omar Pahlevi,
Published: 1 October 2020
Sinkron, Volume 5, pp 51-57; doi:10.33395/sinkron.v5i1.10589

Abstract:
Hepatitis is an infectious disease that is a public health problem that affects morbidity, mortality, public health status, life expectancy, and other socio-economic impacts. Early diagnosis of hepatitis is very important so that it can be treated and treated quickly. In this study, the authors will apply and compare several data mining classification methods, including the C4.5 algorithm, Naïve Bayes, and k-Nearest Neighbor to diagnose hepatitis, then compare which of the three methods is the most accurate. Based on the results of measuring the performance of the three models using the Cross Validation, Confusion Matrix and ROC Curve methods, it is known that the C4.5 method is the best method with an accuracy of 70.99% and an under the curva (AUC) value of 0.950, then the k-Nearest Neighbor method with accuracy of 67.19% and the value under the curve (AUC) 0.873, then the naïve Bayes method with an accuracy rate of 66.14% and a value under the curve (AUC) of 0.742.
, Yan Rianto
Published: 1 October 2020
Sinkron, Volume 5, pp 170-183; doi:10.33395/sinkron.v5i1.10588

Abstract:
The Social Security Administering Body (BPJS) is a facility established by The government in providing services to citizens in The field of health welfare. The Spirit of cooperation in the utilization of health services which is very much currently a constraint in the budget is still insufficient in covering health services as a whole. For this reason, government policy is following with PERPRES No. 75 in 2019, the Government officially raised the BPJS Health contributions for 2020. The increase in BPJS Health contributions certainly caused a lot of comments. Namely Twitter, one of the social media that is used by the public to express disapproval or support for this government policy. This study, testing was carried out related to the prediction of comments from social media on community responses to the increase in BPJS Health contributions taken by the government. In the test carried out 3 (three) input algorithms. For every single algorithm including getting results through the K-NN method with an accuracy of 71.83% and AUC value of 0812, for the Naïve Bayes method produces an accuracy of 81.63% and AUC value of 0586. As for the C 4.5 method, the accuracy is 65.37% and the AUC value is 0628. While testing conducted through the Ensembles Vote method which combines the 3 algorithms above gives the best results with an accuracy of 80.10% and AUC value is 0871 for Twitter comment predictions.
, Syarifah Putri Agustini
Published: 1 October 2020
Sinkron, Volume 5, pp 146-151; doi:10.33395/sinkron.v5i1.10620

Abstract:
Indonesia is one of the world's major agricultural nation which offers wide diversity of tropical products and agricultural commodities produced in substantial number of agricultural areas. Some of these areas are equipped with irrigation infrastructures which delivers water management throughout the land. Irrigation helps grow agricultural crops, maintain landscapes, and revegetation disturbed soils in dry areas. Water resources are finite while cyclic droughts on agricultural areas affecting the amount of water remains, thus creating unbalanced water demand and supply. Therefore, building an effective plan and management for irrigation infrastructure must be conducted using reliable information. The objective of this study is to develop a geographic information system to help managing and mapping process of irrigation infrastructure, such as flood gate and water ways. This system also helps to manage all the irrigation area and infrastructure data by providing geological information, search, and managing database function. We developed a web application for system interactivities. We also work together with Dinas Pekerjaan Umum dan Penataan Ruang of Kabupaten Kubu Raya, as they are managing nearest irrigation land which available to be inspected for research. The system has been tested in a real-life case study. As a result, the system enhances the efficient management of irrigation area and infrastructure data. Users stated that this geographic information system has many benefits to irrigation area management., i.e, ensuring data authorization with user information when data is recorded, real time image capture for each irrigation infrastructure, and digital maps to gain a wide overview of irrigation area information on Kabupaten Kubu Raya
, Lily Andayani Tampubolon,
Published: 13 September 2020
Sinkron, Volume 5, pp 26-34; doi:10.33395/sinkron.v5i1.10529

Abstract:
Currently the purchases of drugs at Instalasi Farmasi RSU (IFRS) HKBP Balige are based on the examination of the amount of drugs usage. The purchases of drugs based on the examination of the amount of drugs usage cause frequent unplanned drugs purchases that must be hastened (cito) and purchases to other pharmacies. The purchases of cito and purchases to other pharmacies will inflict a financial loss to the patients, because when IFRS makes drugs purchases of cito or to other pharmacies, the cost of the drugs will be more expensive. Therefore, in this research, a prediction of drugs stock in IFRS HKBP Balige using Adaptive Neuro Fuzzy Inference System (ANFIS) will be carried out. ANFIS is a combination of Least Square Estimator (LSE) and Error Back Propagation (EBP) algorithms. ANFIS consists of forward pass and the backward pass learning. The sample data used to predict drugs stock in this research is data of drugs sales at the IFRS HKBP Balige from 2013 to 2015. From the results of drugs stock prediction research with ANFIS, obtained that number of errors of ANFIS model is 5.52%. Based on MAPE accuracy level evaluation, number of errors have an excellent rate so that it can be concluded that the predicted results of the drugs stock are good.
Published: 13 September 2020
Sinkron, Volume 5, pp 9-20; doi:10.33395/sinkron.v5i1.10565

Abstract:
— The current Governor of DKI Jakarta, even though he has been elected since 2017 is always interesting to talk about or even comment on. Comments that appear come from the media directly or through social media. Twitter has become one of the social media that is often used as a media to comment on elected governors and can even become a trending topic on Twitter social media. Netizens who comment are also varied, some are always Tweeting criticism, some are commenting Positively, and some are only re-Tweeting. In this research, a prediction of whether active Netizens will tend to always lead to Positive or Negative comments will be carried out in this study. Model algorithms used are Decision Tree, Naïve Bayes, Random Forest, and also Ensemble. Twitter data that is processed must go through preprocessing first before proceeding using Rapidminer. In trials using Rapidminer conducted in four trials by dividing into two parts, namely testing data and training data. Comparisons made are 10% testing data: 90% Training data, then 20% testing data: 80% training data, then 30% testing data: 70% training data, and the last is 35% testing data: 65% training data. The average Accuracy for the Decision Tree algorithm is 93.15%, while for the Naïve Bayes algorithm the Accuracy is 91.55%, then for the Random Forest algorithm is 93.41, and the last is the Ensemble algorithm with an Accuracy of 93, 42%. here. Keywords — Decision Tree, Naïve Bayes, Random Forest, Set, Twitter.
Elly Indrayuni, Acmad Nurhadi
Published: 15 April 2020
Sinkron, Volume 4, pp 172-178; doi:10.33395/sinkron.v4i2.10549

Abstract:
Online reviews have the potential to provide buyers with insights about products such as quality, performance and recommendations. Website is one of the media that contains information or reviews provided by individuals, groups or organizations about an object or topic, one of which is Apple products. This study analyzes consumer sentiment reviews of Apple product users consisting of 200 reviews which will be classified into positive opinions and negative opinions using the Support Vector Machine algorithm and the application of genetic algorithms (GA) to obtain optimal accuracy values. The stages of this research are, firstly collecting a dataset, the second is preprocessing data. Third, the sentiment analysis process uses SVM and GA as optimization techniques. Fourth, do the validation process on the accuracy results obtained using the Confusion Matrix and ROC Curve. The results of this study indicate that Apple product review sentiment analysis produces the best accuracy of 70.00% and AUC 0.924 for SVM algorithm. Whereas the SVM + GA algorithm produces 85.76% accuracy and AUC 0.945, so that the accuracy value increases by 15.76% and the AUC 0.021 on the SVM model when compared before optimization with genetic algorithms (GA) is performed
, Christopher Christopher, Andy Gracia, Rio Brandlee,
Published: 1 April 2020
Sinkron, Volume 4, pp 163-171; doi:10.33395/sinkron.v4i2.10553

Abstract:
Vehicle classification and detection aims to extract certain types of vehicle information from images or videos containing vehicles and is one of the important things in a smart transportation system. However, due to the different size of the vehicle, it became a challenge that directly and interested many researchers . In this paper, we compare YOLOv3's one-stage detection method with MobileNet-SSD for direct vehicle detection on a highway vehicle video dataset specifically recorded using two cellular devices on highway activities in Medan City, producing 42 videos, both methods evaluated based on Mean Average Precision (mAP) where YOLOv3 produces better accuracy of 81.9% compared to MobileNet-SSD at 67.9%, but the size of the resulting video file detection is greater. Mobilenet-SSD performs faster with smaller video output sizes, but it is difficult to detect small objects.
Published: 1 April 2020
Sinkron, Volume 4, pp 106-114; doi:10.33395/sinkron.v4i2.10524

Abstract:
Liver disease is an important public health problem. Over the past few decades, machine learning has developed rapidly and it has been introduced for application in medical-related. In this study we propose Support Vector Machine optimization parameter with genetic algorithm to get a higher performance of Root Mean Square Error value of SVM in order to estimate the liver disorder. The experiment was carried out in three stages, the first step was to try the three SVM kernels with different combination of parameters manually, The second step was to try some combination of range parameters in the genetic algorithm to find the optimal value in the SVM kernel. The third step is comparing the results of the GA-SVM experiment with other regression methods. The results prove that GA has an influence on improving the performance of GA-SVM which has the lowest RMSE value compared to another regression models.
Published: 1 April 2020
Sinkron, Volume 4, pp 130-140; doi:10.33395/sinkron.v4i2.10512

Abstract:
This research was conducted to test the user's satisfaction of the weather forecast system that had been previously applied to the Teluk Bayur BMKG. The weather forecasting service at the Padang Bayur Padang BMKG has basically fulfilled the objectives of the company. However, over time, evaluation is needed so that the effectiveness of the use of the system can be known, so the system can continue to be developed. To overcome these problems, it is necessary to evaluate the performance of the system. One way is to measure user satisfaction by using Service Quality. This method is one of the techniques used to measure the level of user satisfaction with the system. Based on the results of the measurement of the quality of the weather forecast system, the results are obtained that the system user is satisfied with the system performance, but there are several indicators on the system whose performance is not fully maximized, so that there needs to be improvements and improvements of the system performance.
, Herlinda Herlinda
Published: 1 April 2020
Sinkron, Volume 4, pp 56-61; doi:10.33395/sinkron.v4i2.10517

Abstract:
In previous studies, Pythagoras Tree constructed using the Regression Method, namely ID3 of Standard Deviation Reduction (SDR). The study using SDR for Classification. Data obtained from previous research about Instagram Usage. The result of the study that SDR is useful for the classification method for constructing Pythagoras Tree. However, the target attribute is must use a numerical variable to gain the Standard Deviation and the Mean. Empty data does not affect calculations. Although instances must be discarded, thereby reducing the amount of data. For the case of the Instagram Usage Habit itself, not getting the right pattern to deciding due to the data obtained is less. However, Construct Pythagoras Tree successfully done.
Published: 1 April 2020
Sinkron, Volume 4, pp 151-157; doi:10.33395/sinkron.v4i2.10471

Abstract:
The number of micro, small and medium enterprises (MSMEs) in the field of screen printing and convection that use websites in marketing is one of them CV. Ini Sablon. but in the production process there are obstacles in working on orders that come to be done first in accordance with predetermined criteria, namely deadlines, number of orders, design, profit, and availability of goods. The use of Decision Support System (DSS) aims to provide recommendations to owners of screen printing companies. This study uses the SMART method to weight the criteria and the TOPSIS method for product selection. This system is built using the PHP programming language and MySQL database. The results of the study were a screen printing production priority website with the best final value of 0.62 and the worst final value of 0.35 with the level of accuracy between manual and system calculations reaching 100%. In this study the criteria cannot be updated, it is expected that further research criteria can be updated and use a combination of methods that have not been done.
, Liber Tommy Hutabarat,
Published: 1 April 2020
Sinkron, Volume 4, pp 141-150; doi:10.33395/sinkron.v4i2.10536

Abstract:
Education is an important factor in the development of science and the technology. Quality of service is an important element in the institution of education for the quality service of education that will produce high-quality graduates as well. The importance of service quality makes it a part of the Higher Education Quality Standards. Cadets Satisfaction to services is a benchmark to find out the quality of service at Medan Aviation Polytechnic. This research aims to determine the level of Cadets satisfaction to Medan Aviation Polytechnic service towards learning management standard services and standards for infrastructure facilities. The results of the study will be used as references in developing quality standards of Medan Aviation Polytechnic. The method used was Quality Function Deployment (QFD) method, with a total sample of 44 people. Analysis of the data is done with test validity, reliability, planning matrices and matrix House of Quality (HOQ). Analysis results shows the level of cadets satisfaction highest is the dimension Realibility to value the satisfaction of 4.01 followed by the dimensions of Assurance with the value of the satisfaction of 3.98, then the dimension Empaty to value the satisfaction of 3.97 and then at Responsivness dimension with satisfaction value 3.95 and the last is Tangibility dimension with satisfaction value 3.92.
Rani Irma Handayani, ,
Published: 1 April 2020
Sinkron, Volume 4, pp 92-97; doi:10.33395/sinkron.v4i2.10530

Abstract:
Learning is one of the obligations of students to do in every school activity where they study. However, sometimes many students are less able to digest the subject matter delivered by the teacher. Therefore, the school held a scholarship program for outstanding students. In order to motivate students to study harder. Achievement scholarships are given with the aim of motivating students to study harder. Currently the scholarship is not right on target because it is still done manually and it is not clear the criteria for a student to get an achievement scholarship. To conduct an assessment in awarding scholarships to high achieving students use a decision support system to help solve a problem. For this reason, to conduct an assessment in the awarding of scholarships, a decision support system using the Profile Matching method is used. Profile Matching method is one of the methods used in decision making. In this study, there are several aspects of the assessment for awarding achievement scholarships, namely the KKM Aspect, the Attendance Aspect, the Behavior Aspect, the Craft Aspect or the Discipline, the Neatness Aspect.
Published: 1 April 2020
Sinkron, Volume 4, pp 151-155; doi:10.33395/sinkron.v4i2.10505

Abstract:
This research had aimed to describe the use of M-Learning in teaching English for Civil Engineering students at Harapan University of Medan. M-learning as Digital teaching materials were made based on the students need which consist of learning materials. M-learning as Digital teaching materials can be used by lecturer to create more interesting learning materials, by adding videos and animations. The use of M-learning as digital teaching materials was examined based on concepts understanding and students’ response. The subject of this research was 25 students of engineering students. The concepts of understanding were measured by exam test. The students' response was measured based on Likert-scales. The data analysis used was a descriptive statistic. The method of this research was quantitative method. Waterfall model was used in designing M-learning material. The results of this research is the score of students’ conceptual understanding x = (85 ± 8) and students’ response can be categorized very good (percentage of effectiveness are 85%). The results showed that the use of M-learning as digital teaching materials are effective to use in teaching English for civil engineering students at Harapan University of Medan.
Published: 1 April 2020
Sinkron, Volume 4, pp 98-104; doi:10.33395/sinkron.v4i2.10538

Abstract:
Many animal keepers at home who do not know the disease contained in the animal's body. Especially for dogs, the lack of information begins to provide care, hygiene, vaccinations for the health of pet dogs and sickles that will be caused by dogs to their owners. Expert systems can provide solutions to the lack of information obtained by pet dog owners, especially dogs. With this expert system, the owner can know the dog's disease and realize the right prevention in treatment. In this paper 25, physical symptoms of the disease are used and found 8 types of common dog diseases. Five options are given to answer the calculation question using each method: no, quite sure, sure enough, certain, and certainty sure. Accuracy Analysis of each method is tested by assessing the results of each analysis method based on user feedback. The results of this study are the application of an expert system that can diagnose dogs using herbal medicines from plants. The purpose of this study is to implement the certainty factor method in the diagnosis system of canine diseases that can provide space in providing value confidence in knowledge. The conclusion in this study will show some questions as indicators of the characteristics of canine disease, until the final question. The conclusion of the study using the certainty factor method will show the characteristics of the disease in dogs. By being obtained from Rabies (0.9) with easy to get angry refuse nomal food; Hepatitis (0,9) with swelling of the liver occurs; Distemser (0,8) with stomach part blister and festering discharge from the eye; canine parvorius (0,8) with loss of appetite and poop there is blood, herpesvirus (0,8) with often roared and complaints, papilomatosis (0,9) with Smelly dog breath, and leptospirosis (0,7) with complaints, and dirofilaria immitis (0,9) with Unstable body temperature
Leo Fernando Panjaitan, ,
Published: 1 April 2020
Sinkron, Volume 4, pp 47-55; doi:10.33395/sinkron.v4i2.10506

Abstract:
Nowadays, vehicle rental has become a common function for companies that have busy operational activities. Every company in carrying out operational activities requires a vehicle that is always there when needed. PT. Agung Solusi Trans is a vehicle rental company that rents various vehicle brands commonly used by customers to rent vehicles. In addition, PT. Agung Solusi Trans is also difficult to get updated information regarding the level of sales per period. Therefore, we need a decision support system and a method that can be used to design a business strategy that can provide an efficient and effective information, namely data mining using the a priori algorithm association method. The researcher specializes in taking only vehicle types as research material by selecting fifteen brands, including Agya, Yaris, Sienta, Calya, Avanza, Innova, Rush, Vios, Altis, Camry, Fortuner, Alphard, Hi Ace, Voxy, and Hilux. In analyzing the data, the writer uses a priori algorithm calculation by testing the hypothesis of two variables between the value of support and the value of confidence. After that, apriori algorithm is calculated using Tanagra. Based on the analysis done by the author, that the brands most sought after by customers are Calya, Avanza, Hilux. From these results can be used by PT. Agung Solusi Trans to prepare vehicle brands that are widely leased by customers and increase brand inventory.
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