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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 Seek original and unpublished research papers based on theoretical or experimental works for the publication globally.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 Solicit original and unpublished research papers, based on theoretical or experimental works.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 18 Documents
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Search results for , issue "Vol 6, No 1 (2025)" : 18 Documents clear
Analysis of Power Transformer Oil Insulation Capability Against Breakdown Voltage Due to Temperature and Loading Gea, Daniman; Gunawan, Haris; Lesmana, Dicky
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.23674

Abstract

The reliability of power transformers heavily depends on the performance of insulating oil, which serves as both an electrical insulation medium and a cooling agent. One of the key factors in maintaining the quality of insulating oil is its breakdown voltage, which determines the oil's ability to withstand electrical stress before insulation failure occurs. The rise in temperature during transformer operation can lead to a decrease in the oil's breakdown voltage, thus affecting the overall reliability of the transformer. This study aims to analyze the effect of temperature rise on the breakdown voltage of power transformer oil. Testing was conducted through simulations and laboratory measurements at various temperatures to identify the relationship between temperature and the oil's breakdown voltage. The results of the study indicate that an increase in temperature significantly reduces the breakdown voltage of insulating oil, thereby increasing the risk of insulation failure and reducing transformer reliability. The conclusions of this study provide essential recommendations for managing transformer operating temperatures to maintain optimal reliability and service life while avoiding potential failures caused by insulating oil degradation.
Evaluation and Comparison of Load Balancing Algorithm Performance in the Implementation of Weighted Least Connections and Round Robin in Cloud Computing Environment Fawwazi, Mohammad Mika; Putra, Eka; Putri, Nadya Andhika
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.21731

Abstract

Weighted Least Connections (WLC) and Round Robin algorithms are two commonly used load balancing methods in cloud computing environments. Both have different approaches in distributing requests to servers, which impacts system performance. WLC takes into account the number of active connections and the capacity of each server, so that servers with larger capacities receive more requests, while Round Robin distributes requests sequentially regardless of server conditions. This study compares the performance of the two algorithms based on several parameters, including response time, throughput, and CPU utilization. The results show that WLC is superior in systems with heterogeneous servers, where WLC is able to adjust the load distribution based on the capacity and number of active connections, thereby improving system efficiency and performance. Faster response time and balanced CPU utilization are achieved by WLC, while Round Robin is more suitable for environments with servers with similar specifications. Although Round Robin works well in simple conditions, this algorithm often causes load imbalance on low-capacity servers in complex environments. Based on the results of the study, WLC is recommended for environments with server heterogeneity and dynamic loads, because this algorithm significantly improves resource efficiency and reduces server bottlenecks. Thus, WLC provides more optimal performance than Round Robin in scenarios that require more intelligent load distribution.
WebGIS Design at the Department of Agriculture and Plantations of Batu Bara Regency Naibaho, Frainskoy Rio
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.23168

Abstract

The development of technology today has grown very rapidly, this is marked by the birth of remote sensing technology. In order to maximize data visualization services, the Batu Bara district agriculture and plantation office has successfully implemented the WebGIS application. The data displayed on the WebGIS is data on agricultural tools and machinery, district boundaries, irrigation boundaries, rice field boundaries, farm roads, and district roads. All data can be displayed well on Google Maps-based WebGIS. The data is displayed based on the coordinate points in the database. There are 5 stages in this study, namely, literature study, data collection, data normalization and analysis, visualization, and implementation. The data can be accessed publicly, as a service to the community so that the community can find out and get more transparent information. This is one of the innovations of the Batu Bara district agriculture and plantation office.
Implementation of Promethee II Method in the Productivity of Superior Vegetables in Sub-Districts in Northern Aceh Meiyanti, Rini; Kautsar, Al; Fatayati, Nufus
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.22392

Abstract

This research aims to determine sub-districts with superior vegetable productivity in North Aceh using the PROMETHEE II Method. This method is used in decision support systems to help analyze various criteria related to vegetable productivity, such as planting area, harvest area, added planting area, and total production. The research data was taken from 23 sub-districts in North Aceh covering various types of vegetables, such as chili, tomato, long bean, and eggplant, for the year 2023. Through analysis using the PROMETHEE Method, this research produced a ranking of sub-districts based on Net Flow values that reflected the level of productivity of each sub-district. The results show that sub-districts Tanah Luas has the highest vegetable productivity with a Net Flow value of 3.0608, while sub-districts Tanah Pasir is at the lowest position with a value of -2.2172. With these results, the research provides recommendations to the local government and farmer groups to focus on improving productivity in the low-ranked sub-districts. In conclusion, the PROMETHEE II Method provides accurate and objective results in analyzing vegetable productivity in various sub-districts and can be used as a decision-making tool related to strategies for improving vegetable agriculture in North Aceh. Therefore, the results of this study are expected to be used as guidelines in planning strategies to increase agricultural productivity in North Aceh.
A Simulation of Digital Device to Calculate Electrical Energy Usage Costs Based on Kwh Metres Masri, Mahrizal; Alam, Hermansyah; Pelawi, Zulfadli
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.23675

Abstract

The electricity payment system in Indonesia is by calculating the power used. The tool that records the use of electrical energy is a KWH meter. From this problem, an idea was obtained to record the KWH meter digitally so that we can easily find out how much electricity is used. This tool provides a value every time a pulse is detected by a photo diode against the KWH disc movement indicator. The function of this tool is a simulation with assumptions based on the KWH meter disc movement indicator detected by the photo diode, after which the pulses are processed on the AT89S51 microcontroller, and presented via a seven segment display. So that customers can easily find out the cost of electricity that has been used. Overall tool testing is done by connecting all parts of the tool and the KWH Meter is connected to the power grid and to the load. Simple testing is done by connecting the tool to a load of 100 watts and 200 watts
Decision Support System for Plantation Land Recommendations in Mandailing Natal Regency Using The TOPSIS Method Rosnita, Lidya; Bustami, Bustami; Samosir, Dini Kairiyah; Aidilof, Hafizh Al Kausar
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.22387

Abstract

Plantations have great potential to be developed because they are a source of income for the community, farmers and PTPN in the area because Indonesia has the largest plantation land in the world. Mandailing Natal Regency is the district with the largest area in North Sumatra province, but Mandailing Natal has not been able to surpass crop production from plantation land in North Sumatra. The method for determining plantation land to produce good harvests is the TOPSIS algorithm for recommending plantation land. In this research, recommendations were made for plantation land with the aim of finding out what land is suitable in each subdistrict in Mandailing Natal Regency. The data method for this plantation land was taken at the Mandailing Natal Central Statistics Agency with the variables used, namely land area, area height, topography and rainfall. In implementing The decision support system using the TOPSIS algorithm on plantation land in Mandailing Natal Regency, the Recommendation results based on the type of plantation land in each sub-district are as follows: Rubber Plantation Land is highly recommended in Siabu District with a preference value of 0.56938682730811 and highly not recommended in Penyabungan District with preference value 0.33537499293319. Then, Palm Oil Plantation Land is highly recommended in Batang Natal sub-district with a preference value of 0.53467087652891 and not highly recommended in Tambangan sub-district with a preference value of 0.33181406496882. And the last one is Cocoa Farm which is highly recommended in Tambangan District with a preference value of 0.62855110465075 and highly not recommended in East Panyabungan District with a preference value of 0.25592982445435.
Classification of Nutritional Status of Pregnant Women at Risk of Stunting in Prospective Babies Using the Support Vector Machine (SVM) Algorithm Afrillia, Yesy; Fadlisyah, Fadlisyah; Asmi, Nurul Annisa
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.22393

Abstract

Stunting describes the existence of chronic nutritional problems, influenced by the condition of mothers/mothers-to-be, fetal period, and infants/toddlers, including diseases suffered during toddlerhood. According to a WHO report quoted from Riskesdas, in 2018 the stunting target in Indonesia was 20%, but in 2013 the stunting rate was 37.2%, but in 2018 there was a decrease to 30.8%. However, the stunting rate in Indonesia is still very high and far from what is targeted by WHO. The method with the best level of accuracy for classification in this study is SVM. This study uses the Support Vector Machine (SVM) method as criteria and attributes which take benchmarks in pregnant women with attributes as a reference including gestational age, maternal weight, blood pressure, and pregnancy problems. The reason for taking benchmarks in pregnant women is because in the first 1000 days of a baby's life determines the baby's nutrition. The first 1000 days of life or 1000 HPK is a critical period in the growth and development of children starting from the beginning of pregnancy (270 days) to 2 years old (730 days). Data was obtained from the Tanah Luas Health Center totaling 684 data on pregnant women. The process of manual calculation is data normalization, kernelization, calculating the alpha and alpha delta Ei values, calculating weights, calculating bias values, and calculating f(x) values. In this study, the dataset totaled 680 data with 544 training data and 136 test data with the criteria of gestational age, pregnant woman's weight, blood pressure, and pregnancy problems. The accuracy obtained was 38.90 %. The variables that have the most influence on this classification are 3, namely the weight of pregnant women, blood pressure, and complaints experienced in pregnant women.
Development of a Chatbot Education System for Protected Marine Animals in Papua Using the Large Language Models Method Anang, Alfikran; Maimunah, Anggun; Tawainella, Annisa Iriani; Aras, Suhardi
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.20677

Abstract

The research aims to raise awareness about protected marine species in Papua through a chatbot providing accessible information. This strengthens public and student understanding of marine conservation. Methods include problem analysis, literature study, data collection, and system analysis and design using PyMuPDF and a Large Language Model (LLM). Data from scientific journals, books, e-books, and websites is processed through chunking and embedding to create vector representations. The FITZ library stores these vectors, enabling the chatbot to find similarities and provide relevant answers. Results show the chatbot accurately delivers information on Papua's protected marine animals. Testing with BERTScore indicated a high semantic correlation between chatbot responses and reference data. User satisfaction surveys reveal positive contributions to understanding marine conservation. The chatbot is relevant and satisfying, though performance and functionality could be improved with advanced technology. Further research should enhance data quality and answer consistency to better meet user needs.
An Analysis of Performance Comparison of Circuit Breaker Protection Systems in Packing and Picking Operations at PT. Shippindo Teknologi Logistik Sianipar, Tigor Pangihutan; Wibowo, Pristisal; Tharo, Zuraidah
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.23676

Abstract

The protection system in circuit breakers plays a crucial role in maintaining operational stability and safety in the logistics industry, particularly in the packing and picking processes, which involve high-capacity electrical equipment. This study aims to analyze and compare the performance of circuit breaker protection systems in the packing and picking operations at PT. Shippindo Teknologi Logistik, focusing on efficiency, safety, and equipment maintenance. The research methodology includes direct testing of the circuit breakers used in operational processes in the field. The analysis evaluates the capability of circuit breakers to respond to various electrical load conditions during the operation of packing and picking machines. Performance parameters such as response time to electrical disturbances, resistance to overcurrent, and frequency of automatic tripping were measured to compare the different types of circuit breakers used. The results indicate significant differences in the protection performance among the types of circuit breakers, particularly in terms of response time and resistance to current surges. Circuit breakers equipped with the latest technology demonstrated superior performance in maintaining system stability and minimizing equipment downtime. More responsive protection systems were found to enhance operational efficiency while reducing the risk of equipment damage and operational disruptions. In conclusion, the selection of an appropriate circuit breaker protection system significantly impacts the sustainability of packing and picking operations in the logistics industry. This study recommends adopting advanced protection technology circuit breakers to optimize performance at PT. Shippindo Teknologi Logistik
Internet of Things and Artificial Neural Network Application for Optimizing Spirulina Cultivation with Palm Oil Mill Effluent Ula, Munirul; Fajriana, Fajriana; Ulfah, Julia
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 1 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i1.22389

Abstract

This study aims to optimize algae biomass production by utilizing Palm Oil Mill Effluent (POME) as a nutrient source, employing Internet of Things (IoT) technology and Artificial Neural Networks (ANN) for predictive modeling and system control. POME, an organic waste from the palm oil industry, was used as an organic liquid fertilizer to enhance the efficiency and sustainability of algae cultivation. The system was designed to monitor and control key environmental parameters such as pH, temperature, salinity, and dissolved oxygen in real-time during a one-month trial in July 2024. ANN-based models were used to predict and adjust environmental conditions, leading to significant improvements in algae growth and resource efficiency. The results indicate that POME can serve as an effective and eco-friendly nutrient source, contributing to both reduced industrial waste and sustainable biomass production. This integrated approach supports circular economy principles and sustainability goals, with potential applications in bioresource production and waste management. Future research will focus on large-scale system testing, optimization for various algae species, and long-term sustainability assessment.

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