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Results in Journal SinkrOn: 108

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Sciprofile linkErlin Windia Ambarsari, Herlinda Herlinda
Published: 15 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.
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
Sciprofile linkAmir Mahmud Husein, Christopher Christopher, Andy Gracia, Rio Brandlee, Sciprofile linkMuhammad Haris Hasibuan
Published: 14 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: 10 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.
Published: 10 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: 8 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.
Leo Fernando Panjaitan, Sciprofile linkYopi Handrianto, Sciprofile linkAchmad Nurhadi
Published: 7 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.
Published: 5 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.
Published: 2 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.
Rani Irma Handayani, Sciprofile linkTriningsih Triningsih, Sciprofile linkMelia Putri
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.
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