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Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE)
Published by Universitas Muhammadiyah Sumatera Utara
ISSN : -     EISSN : 27213838     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering
ournal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) is being published in the months of March and September. It is academic, online, open access (abstract), peer reviewed international journal. The aim of the journal is to: Disseminate original, scientific, theoretical or applied research in the field of Engineering and allied fields. Dispense a platform for publishing results and research with a strong empirical component. Aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. Seek original and unpublished research papers based on theoretical or experimental works for the publication globally. Publish original, theoretical and practical advances in Computer Science & Engineering, Information Technology, Electrical and Electronics Engineering, Electronics, Communication and Telecommunication, Education Science and all interdisciplinary streams of Social Sciences. Impart a platform for publishing results and research with a strong empirical component. Create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research. Solicit original and unpublished research papers, based on theoretical or experimental works. Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) covers all topics of all engineering branches. Some of them are Computer Science & Engineering, Information Technology, Electronics & Communication, Electrical and Electronics, Electronics and Telecommunication, Education Science and all interdisciplinary streams of Social Sciences.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 128 Documents
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Application of Data Mining to Predict Birth Rates in Medan City Using the K-Nearest Neighbor Method Putri, Alma Irawanti; Furqan, Mhd.; Suhardi, Suhardi
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i1.17991

Abstract

The birth rate of babies in Indonesia tends to increase every month, based on this fact, the population in Indonesia is increasing over time. One of the contributing factors is increasingly sophisticated technology, so that a country's birth rate can be accelerated, and if this event occurs continuously it will have an impact on population density which will occur notlonly inlIndonesia, butlalso throughoutylthelworld. Therefore, birth rate predictions are needed for planning and public policy in the fields of health and social welfare. One of them is using data mining techniques to predict the number of births in Medan City using the KNN method. KNN is a classification method based on the neighborhood value between training data and test data. Thelpredictioniresults will beicompared withlactual datalto measure thekaccuracy of predictions on birth data totaling 131 data. The accuracy results obtained were 83.9% with a total of 4,413 births and 8,485 pregnant women 
Motorcycle Safety System Using RFID and GPS Based on ESP32 Internet of Things Maulana, Indra; Misbah, Misbah
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.21032

Abstract

Motorbikes are an alternative transportation for the majority of lower middle class Indonesians, because motorbikes have affordable prices, low maintenance costs, and are fuel efficient. The increasingly rapid use of motorbikes also increases the speed of criminal acts, namely motorbike theft, because apart from user error, the built-in security system of motorbikes can still be hacked, which can trigger theft. To overcome this, a security system was added with tools that can monitor and control remotely. This system utilizes RFID to recognize registered IDs. To turn it on, you can only use the ID that has been registered. Then the ESP 32 which is connected to Mifi is the brain that processes the motorbike and will send notifications and locations using the GPS module to the user via telegram. If the ID used is not registered and you tap 3 times/the motorbike is indicated to be stolen, a danger notification will be sent to the user via telegram. Users can also send commands back to the motorbike remotely via telegram. The results of this research show that the efficient RFID distance is 1-3 cm because there is no error (0%), and GPS accuracy has an average error of 3.3 meters, as well as suitability for use of the Telegram application.
Simulation of AC-DC Buck Boost Converter Control Based on Fuzzy Logic Faisal, Ahmad Faisal Ahmad; Tharo, Zuraidah; Septiany, Anggie
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20906

Abstract

Power quality is an important issue currently in the field of electrical equipment and electric power, so engineers do a lot of research on power quality. As technology develops, more and more electrical equipment is used, many electrical equipment use electronic power such as converters and others. Remembering previous research that has been carried out, namely, Simulation of AC-DC Buck Boost Converter Control with Proportional Integral Derivative (PID) using Matlab Simulink. For this reason, further research needs to be carried out with a different control system, namely fuzzy logic. By using fuzzy logic control, the simulation results show that fuzzy logic control is able to maintain the power factor value on the input side as well as the output voltage and output current values on the AC-DC buck boost converter. The rise time value shows a short and constant value based on each V reference. However, the overshoot value was not found, nor was the peak time, peak time was not found because there was no overshoot value in the output voltage and output current waveforms in the AC-DC buck boost converter simulation with a fuzzy logic controller using Matlab Simulink.
System Design for Ordering and Digitizing Website-Based Bus Tickets Sari, Indah Purnama; Al-Khowarizmi, Al-Khowarizmi; Sulaiman, Oris Krianto; Apdilah, Dicky; Fachrizal, Ferry
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i1.18861

Abstract

In the business world, generally users and company owners need something innovative to help support performance and make it easier to use or search for product data. The presence of this website-based internet will make it easier for all groups to be able to access all forms of information, including utilizing this media to be able to connect relationships between customers and the company's products, one of which is ordering bus tickets. Based on the various conveniences and uses that the internet has, a "Use of Information Systems in Ordering and Digitizing Website-Based Bus Tickets" was developed. This system was created with PHP, MySQL and Bootstrap software. This information system is designed to provide convenience in terms of ticket ordering services and obtaining other information needed by custome.
Particle Swarm Optimization Algorithm for Hyperparameter Convolutional Neural Network and Transfer Learning VGG16 Model Murinto, Murinto; Winiarti, Sri; Faisal, Ilyas
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i1.16680

Abstract

The classification process is also used in artificial intelligence (AI), which is intelligence created by a computer, so that it can mimic actions like humans in general and can capture events that occur in the surrounding environment. Seeing the very high development of the international coffee trade, it can be concluded that if there is a type of coffee that has the best quality, it will be sought after by coffee importing countries. Batik is cloth that is painted using canting and liquid wax to form motifs or patterns that have high artistic value. Batik has a variety of unique and distinctive patterns that reflect the region where the batik motif originates. One area that has batik motifs in Indonesia is batik in the North Coastal Region of Java Island. In this area, various batiks are produced according to the characteristics of the area itself. Regarding information related to the introduction of types of batik motifs, perhaps it comes from people who have batik skills and batik craftsmen who best understand batik as a whole, while the general public does not really know about batik motifs. Because batik has different motifs and batik motifs in some areas have motifs that are almost uniform but not the same. One of the technologies that can be used is deep learning. The purpose of this study is to propose a Convolutional Neural Network (CNN) and Transfer Learning (TL) model to be implemented in an intelligent system for the process of image classification of coffee bean types. The method used in this study is the PSOCNN transfer learning model VGG16 From the results of tests carried out on 2 models, namely the CNN model, the PSOCNN transfer learning model VGG16. it was found that the highest accuracy was obtained when classifying batik motives images using the PSOCNN-transfer learning model VGG16, which was 83%. The level of accuracy that is increased when compared to the usual CNN model indicates that the use of transfer learning has a good effect on the level of accuracy obtained. Although an increase of 6% is significant, but with this increase it opens up opportunities to increase even higher by using other transfer learning models
Application Of Geographically Weighted Panel Regression Based On Seasonal Pattern In Data For The Development Of Dengue Hemorrhagic Fever (DHF) In North Sumatra Province Putri, Dinda Kusuma; Rakhmawati, Fibri
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20930

Abstract

Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus which is transmitted to humans through the bites of Aedes aegypti and Aedes albopictus mosquitoes which were previously infected with the dengue virus from other dengue fever sufferers. This research aims to apply the Geographically Weighted Panel Regression (GWPR) method. in identifying what factors influence the development of Dengue Hemorrhagic Fever in 33 districts in North Sumatra Province starting from September 2022-August 2023 with a rainy and dry season pattern. The results of this research show that the appropriate GWPR model is the fixed effect model with the pepmbobot kerne bisquare function. Based on this model, the districts/cities of North Sumatra are divided into ten groups based on variables with a high significant influence on the percentage of development of Dengue Hemorrhagic Fever. The factors that influence this percentage are gender, namely male and female, then Age, namely ≤ 14 Years and Age ≥ 14 Years.
Evaluation on Students’ Achievement for Outcome Based Education on Engineering Students Hasan, Hanapi; Ambiyar, Ambiyar; Rizal, Fahmi; Maksum, Hasan; Putri, Tansa Trisna Astono
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20014

Abstract

This article explores the implementation and impact of Outcome-Based Education (OBE) in engineering programs, emphasizing the shift from traditional methods to focusing on students' higher-order thinking and practical skills. It highlights how various educational standards, such as those from Engineers Australia and ABET, align with OBE principles. Using an anonymous online survey, the study evaluates the Program Educational Objectives (PEOs) achievement among graduates from the Mechanical Engineering Education Department at Universitas Negeri Medan. The survey covers graduates' skills in areas like mathematical tools, 3D modeling, and engineering project execution. Results indicate that while some PEOs are satisfactorily achieved, others, such as PEO3 (3D modeling skills) and PEO7 (experimental approaches), require improvement. The study suggests enhancing curriculum components to better align with industry needs and continuously improve educational quality. Future research should incorporate employer feedback to provide a more comprehensive evaluation of graduates' preparedness.
Analysis of the Effect of Problem-Based Learning on Leadership Skills Hasan, Hanapi; Giatman, M; Maksum, Hasan
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i1.18149

Abstract

Educators have developed a model to facilitate the learning of various competencies and the assessment of student understanding. The methods applied include lectures, assignments to be completed at home, and written exams. Meanwhile, to develop non-technical competencies such as leadership skills, a more comprehensive approach is required. This article outlines the findings of a controlled study that implemented Problem-Based Learning (PBL) to teach these skills. The effectiveness of this method was measured using the Competing Value Framework (CVF) developed by Quinn in 2004. The research results indicate a significant statistical improvement in students' ability to set goals and identify and organize activities to achieve these goals. The included literature review also emphasizes the suitability of PBL in teaching both technical and non-technical competencies.
The Impact of k-means on Association Rules Mining Algorithms Performance Hasudungan, Andre; Muliono, Rizki; Khairina, Nurul; Novita, Nanda
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.20907

Abstract

Association Rule Mining (ARM) is one of unsupervised learning approach of machine learning. It acts as a data analysis technique that enables the identification of frequent patterns, correlations, associations, and causal structures within certain datasets. This method widely used in numerous studies and practices to explore knowledges and strengthen decision making. However, dealing a large dataset with high number of transactions may become the shortcoming for the ARM algorithms, such as Apriori, FP-Growth, and Eclat. It leads them to face several challenges, including computational complexity, long mining durations, and memory consumption. Hence, this paper proposes k-means clustering to generates several groups of data to handle the issue, then proceed the ARM algorithms for each individual produced cluster. The study used Elbow method and Silhouette Coefficient as the method to determining optimum number of clusters to be used. The result pointed out that k-means-ARM generates a greater number of rules and provides more contextually relevant and significant correlations. In term of Lift Ratio average score, the k-means-ARM shows the greater value rather than non k-means ARM. The k-means-ARM combination is robust; this approach improves the efficiency and scalability of ARM for large datasets and enhances the interpretability of the discovered association rules
Implementation of Complex Propotional Assesment (COPRAS) in Determining Air Conditioning System Traders Idaman, Akbar; Amrullah, Amrullah; Raja Gunung, Tar Muhammad; Eldo, Handry; Prabowo, Agung
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 5, No 2 (2024)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v5i2.19417

Abstract

Increased global warming and awareness of the need to reduce greenhouse gas emissions have strengthened the focus on energy efficiency in various sectors, including the HVAC (Heating, Ventilation, and Air Conditioning) industry. In this context, the selection of air conditioning (AC) systems becomes crucial in providing thermal comfort. However, decisions regarding air conditioning systems are often complex as they involve considerations of energy efficiency, operational costs, system reliability, and environmental impact. To address this complexity, Complex Proportional Assessment (COPRAS) emerged as an effective multi-criteria analysis method. However, the application of COPRAS in determining AC system traffickers is still limited. This research explores the possible application of COPRAS in this context and identifies key factors to consider. The evaluation results show that Medan Elektronik and Citra Inovasi Prima are the top choices in the selection of AC system traffickers. This research is expected to contribute to the development of more sophisticated analysis methods in the HVAC industry as well as assist decision makers in selecting more appropriate and sustainable air conditioning systems.

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