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Sinkron : Jurnal dan Penelitian Teknik Informatika
Published by Politeknik Ganesha Medan
ISSN : 2541044X     EISSN : 25412019     DOI : 10.33395/sinkron.v8i3.12656
Core Subject : Science,
Computer Science & IT
Scope of SinkrOns Scientific Discussion 1. Machine Learning 2. Cryptography 3. Steganography 4. Digital Image Processing 5. Networking 6. Security 7. Algorithm and Programming 8. Computer Vision 9. Troubleshooting 10. Internet and E-Commerce 11. Artificial Intelligence 12. Data Mining 13. Artificial Neural Network 14. Fuzzy Logic 15. Robotic
Arjuna Subject : Ilmu Komputer (semua kategori) - Visi Komputer dan Pengenalan Pola
Articles 1,196 Documents
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Combination of Ant Colony Tabu Search Algorithm with Firefly Tabu Search Algorithm (ACTS-FATS) in Solving the Traveling Salesman Problem (TSP) Harahap, Siti Sarah; Sihombing, Poltak; Zarlis, Muhammad
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12016

Abstract

Traveling Salesman Problem (TSP) is a classic combinatorial optimization problem, one of the optimization problems that can be applied to various activities such as finding the shortest path. The optimization problem in TSP is the most widely discussed and has become the standard for testing computational algorithms. TSP is a good object to test optimization performance. With scientific developments in the field of informatics, many researchers have optimized the application of algorithms to solve the Traveling Salesman Problem (TSP). In this study, researchers used a combination of Ant Colony Tabu Search – Firefly Algorithm Tabu Search (ACTS-FATS). The combination is doneto overcome Premature Convergence (trapped local optimum) which is a shortcoming of the ant colony algorithm, get the best running time by looking at the process of each point movement with the ant colony and firefly methods. After testing, getting the best running time results of 27.79%, and getting an accuracy rate of 17%.
Application of Naïve Bayes Algorithm for Non-Cash Food Assistance Recipients in Kampar Regency Anam, M Khairul; Rahmiati; Paradila, Dinda; Mardainis; Machdalena
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12032

Abstract

Non- Non-Cash Food Assistance (BPNT) is a non-cash food social assistance from the government given to beneficiary families (KPM) of Rp. 200,000 per month which is given in the form of basic necessities by using an electronic card. The large number of residents who will be selected makes it difficult for village officials to make decisions on who is eligible or ineligible as recipients of non-cash food assistance every month. This research was conducted to design a decision support system for the eligibility of non-cash food assistance recipients by using the naïve bayes algorithm in order to help the Parit Baru Village apparatus every month in determining the eligibility of the next non-cash food assistance recipients, by perform Confusion Matrix calculations. From the results of the discussion carried out, it can be concluded that Naïve Bayes and the resulting rules had an accuracy rate of 95%, the Precision value was 94% and Recall was 100%. Therefore, the Naïve Bayes algorithm can be applied to the decision support system in determining the eligibility of recipients of non-cash food assistance.
Usability Evaluation of SIDUMAS Badung Using Think Aloud, Heuristic Evaluation and SUS Putra, I Nyoman Gede Ardi Yana; Candiasa, I Made; Dewi, Luh Joni Erawati
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12034

Abstract

This study aims to 1) find out the problems that occur in the Badung Regency community complaint system (SIDUMAS) by conducting a usability evaluation using the think-aloud method, heuristic evaluation and system usability scale, 2) conduct a usability evaluation on the community complaint system can determine the level of application usability and determine recommendations for improvements needed by the Badung community complaint system (SIDUMAS). Respondents who participated in this study were Badung people consisting of 5 usability experts and 30 general public. Determination of respondents in this study based on the criteria of the method used. The data in this study were obtained through usability evaluation results on the public complaint application questionnaires and data from interviews with respondents. The method used to evaluate the public complaint system is a combination of 3 methods, namely think aloud, heuristic evaluation and system usability scale which will produce an assessment to determine the usability and recommendations for improvements to the Badung SIDUMAS system. The results showed that: (1) Using the think-aloud method, it was found that the problems experienced by users of the community complaint system application on average experienced the same problems in the test. The results of research with heuristic evaluation found that there is 1 problem that has the highest severity rating where the problem must be fixed immediately. The results of the calculation of the average system usability scale score on user satisfaction obtained a score of 78 with acceptability ranges in the acceptable category. Furthermore, for the percentile rank score, the value obtained is 78 so it is in the grade B category. (2) Making recommendations for improvement in the study focused on changing the layout on the page and navigation menu on the results of data causing errors experienced by users.
UX Evaluation Using Firstclick, Performance Measurement, RTA, And Questionnaire On E-Commerce Website Candiasa, I Made; Gunadi, I Gede Aris; Putra, I Nyoman Wahyu Semeru
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12037

Abstract

E-commerce has made transactions easier for several persons. SKI (Semadi Kwazay Indoland), a company in the real estate market, is one of the numerous organizations that develop e-commerce websites. The company wants the e-commerce website to attract a wider audience. Therefore, an evaluation is necessary to measure the usefulness of the website. Twenty responses were divided into two groups of ten: the advanced group and the novice group. The selected assessment approaches are performance measurement to evaluate the system's efficiency and error rate, first-click usability testing to evaluate the system's effectiveness, and RTA and the SUS questionnaire to evaluate user happiness. The following are the study's findings: This e-commerce website is quite efficient, as there is no significant difference in the time necessary to complete the 10 activities between the two groups of respondents. The mean participant questionnaire score for the e-commerce website was 49.75, which was much lower than the average SUS score of 68. The e-commerce website page is highly effective, as the performance measurement test results suggest a comparatively low error rate across both novice and advanced respondent groups.
CONVOLUTIONAL NEURAL NETWORK OPTIMIZATION FOR DEEP WEEDS Syechu, Weno; Nasution, Benny Benyamin; Effendi, M. Syahril
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12046

Abstract

Precision agriculture is critical in ensuring food availability while maintaining environmental sustainability. Weeds are a serious threat to crops because they can inhibit plant growth and absorption of nutrients and infect nearby plants. Reduction in agricultural production can reach 20-80% if weeds are not handled quickly and precisely. In this study, four Convolutional neural network architectures were implemented to identify weeds based on images. The total number of images in the dataset used is 17,509 images grouped into nine classes which are divided into 80% for training data and 20% for test data. The training process uses a transfer learning scheme and operates several different optimization functions. The test results show that the best performance is achieved by the GoogleNet architecture using the stochastic gradient descent with momentum optimization function with a classification accuracy of 92.38%. Testing also shows that the ShuffleNet architecture classifies images faster than the other architectures used in this study, although its performance is slightly lower than GoogleNet.
Weather Forecast In Medan City With Hopfield Artificial Neural Network Algorithm Anwar, Badrul; Jalinus, Nizwardi; Abdullah, Rijal
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12048

Abstract

Many aspects are very influential for the continuity of Indonesian society, especially Medan. One of the aspects that affect the continuity of the people of Medan is the weather. Weather plays an important role in various sectors, such as agriculture, aviation, and many other sectors. The Meteorology, Climatology and Geophysics Agency (BMKG) is always trying to develop their innovations to be able to provide accurate weather information to the public. To assist the process of disseminating weather information to the public in Medan City, we need a Weather Forecast application that uses Website-based computer technology so that it can help disseminate weather information easily and effectively which is generated through the support of the Hopfield method by connecting the application with BMKG data. Based on the results of this study, a weather forecasting application was successfully built to help disseminate weather information in Medan City to all Medan City people who want to get information about the weather.
Sentiment Analysis of Flood Disaster Management in Jakarta on Twitter Using Support Vector Machines Saddam, M Amiruddin; Dewantara, Erno Kurniawan; Solichin, Achmad
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12063

Abstract

Floods can cause negative impacts in various aspects, starting from economic, social, to health aspects. Even quoted from the site gis.bnpb.go.id, during 2022, there have been 1031 cases of flood disasters in Indonesia. Meanwhile in Jakarta, in 2022 there have been 14 cases of floods that caused hundreds of people to lose their homes. Several approaches can be taken to determine public opinion about flooding, one of which is text mining with an analysis of community sentiment. Sentiment analysis aims to determine public opinion regarding flood management in the capital city of Jakarta based on positive, neutral, and negative categories. To get the public sentiment, researchers carried out several stages, including the preprocessing stage. After obtaining public sentiment regarding flood management through the preprocessing stage, then classification is carried out based on public opinion so that it can be used by related parties for evaluation material in flood handling. In this study, the classification method used is the SVM method which is one of the supervised learning methods in machine learning. After classification, the next stage is the testing process using the K-Fold Cross Validation method. From the various sentiments obtained from Twitter data, it can be concluded that there are around 414 positive sentiments and 2464 negative sentiments related to flood handling in DKI Jakarta, while the results obtained from the test results show that the accuracy reaches 88.6%, the precision reaches 88.6% and recall reached 89.4%.
Data Mining Implementation For Product Transaction Patterns Using Apriori Method Aji, Galih Wasito; Devi, Putri Aisyiyah Rakhma
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12071

Abstract

In the era of information technology, entrepreneurs must have a good marketing strategy so that profits do not decrease. The decline in profits is happening at fast food restaurants for example fast food restaurants in Gresik city. This is due to the incompatibility of products sold with customers in Gresik city. Many promos given by marketing didn’t go well, resulting in sales targets not being achieved. To overcome this, good sales data analysis is needed to get products that match with type of customer. Using data mining with the Apriori algorithm is very appropriate for looking customer purchasing patterns. Association rules that are formed with support and confidence as benchmarks provide, a good reference regarding customer purchasing patterns. Research at fast food restaurant in Gresik was conducted by taking transaction data from September 2021 - September 2022 totaling 48,750 transactions with 134 transactions/day. The results of the research are customer buying patterns that are formed in 10 rules with highest percentage. The best rules that can be the best promos is: if customers buy Rice then buy Drinks with 11,19% support and 68,1% confidence. From the results of research that has been done, customer purchasing patterns have been obtained and can be used as a reference by marketing.
Object Oriented Programming of Application Admission of New High School Students Yayuk Ike Meilani; Purnama, Jaka
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12077

Abstract

Abstract: This research was conducted at one of the high schools in Palembang. The admission of new students that are carried out still uses on-site registration so that prospective students must go to school to register. The purpose of implementing object oriented in new student admissions applications is to make the application lighter when using it because the objects are divided into classes. Using the application of oop in application development is useful to make it easier to make applications. The built application can be used for dynamic and flexible new student registration media that can register anywhere and anytime. The concept model used in the application is MVC (Model, View, Controller) which makes it easy for the application to handle errors and bugs due to the structure of the program code used. With the implementation of the oop concept in the program, it is hoped that it can help application development and make it easier to detect errors.
Design Of Automatic Fire Detection and Extinguishing Devices Using Arduino Nopriadi, Nopriadi; Fajrin, Alfannisa Annurrullah
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12047

Abstract

A robot is a series of hardware and software in the form of a driving program. Robots are not only used in industry; in developed countries, robots are widely used to help with household chores. Many jobs that require a lot of energy are high-risk or dangerous, one of which is detecting and extinguishing fires. Fires can be avoided if the fire can be extinguished before it spreads. When the fire has spread, extinguishing it will be difficult and high-risk. Fires can cause huge losses of both property and lives that cannot be saved. The problem can be reduced if the source of the fire can be quickly found and extinguished. In this research, a fire extinguisher robot will be designed with an Arduino Mega 2560 and an infrared flame detector to detect the presence of fire. This robot is accompanied by an HC-SR04 ultrasonic sensor so that the robot can walk automatically without hitting obstacles because this robot aims to walk down hallways such as areas in the house or in any area that has a hallway for the robot's path. This research aims to implement Arduino for the control of the ultrasonic sensor and the movement of the fire extinguisher robot. The use of an Arduino micro-controller on the fire extinguisher robot is expected to make the robot move steadily and avoid obstacles in the hallway.

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