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The Journal of Information Technology, Computer Science, and Electrical Engineering
Published by Yayasan Sinergi Multidimensi Kreatif
ISSN : -     EISSN : 30464900     DOI : https://doi.org/10.30596/jitcse
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The Journal of Information Technology, Computer Science, and Electrical Engineering (JITCSE) is a premier publication dedicated to advancing research and innovation at the intersection of these dynamic fields. With a focus on cutting-edge developments and emerging trends, JITCSE serves as a vital platform for scholars, researchers, and practitioners to share their latest findings and insights. Covering a broad spectrum of topics including software engineering, artificial intelligence, network security, digital systems, and renewable energy, JITCSE showcases rigorous and impactful research that drives technological progress forward.
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Articles 198 Documents
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Digital Transformation of Car Rental Services Using a Web Based Information System Muhammad Muttaqin; Fachrid Wadly; Pipin Veranda
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 3 (2025): October 2025 - January 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

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Abstract

The rapid development of information technology has encouraged many business sectors to adapt and utilize technology to improve operational efficiency, including in the car rental industry. This research aims to design and build a web-based car rental management information system that is able to help business processes such as vehicle data collection, customer management, bookings, and transaction reporting in a structured and integrated manner. The system development method used is the Waterfall method, which consists of the stages of needs analysis, system design, implementation, testing, and maintenance. The result of this research is a web-based information system that can be used by admins and users efficiently to carry out the car rental process, as well as produce accurate and real-time reports. With this system, it is hoped that data management will be easier, service to customers will be more optimal, and the decision-making process by the management will be more precise based on the available data. This system also supports the digitization of services, so that it can increase the competitiveness of the car rental business in the current technological era.
EFFICIENCY OPTIMIZATION OF A STEAM POWER PLANT OUTPUT 800 kW USING SHELL AND FIBER FUEL AT PALM OIL MILL PTPN IV AIR BATU Rufinus Nainggolan; Marlon Sibarani; Suadi; Positron Bangun; Baringin Sibarani; Joko Sutrisno
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 3 (2025): October 2025 - January 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i3.246

Abstract

At Palm oil mill PTPN IV Air Batu, steam boiler and steam turbine is a combination of steam power plant equipment to produce steam and electrical energy. This steam boiler is a type of water tube boiler TAKUMA N-600SA brand with specifications working pressure 22 Bar, Temperature 340OC. The steam produced by the boiler is used to drive a Dresser Rand Type 550W steam turbine for generating 800 kW of electrical power and for steam needs for the boiling process, sterilization of palm oil. In this study the author conducted an analysis of the performance of the boiler and steam turbine, also analyzed the fuel used as a source of heat energy for boiler operations, each are palm shells and fibers. Analysis of the fuel needs of a mixture of shells and fibers at Palm oil mill PTPN IV Air Batu, then for the composition of the three biomass components are shells and fibers with varying ratios: 75%: 25%; 50%: 50%, and 25%: 75%, then the calorific value of each is LHV = 14374.5 kJ / kg, LHV = 12411 kJ / kg, and LHV = 10447.5 kJ / kg. The results of the calculation of the respective fuel needs: 1.617 Ton / Hour, 1.872 Ton / hour, and 2.225 Ton / Hour. From the steam turbine specification data with an output power of 800 kW, the turbine inlet steam pressure is 20 Bar, temperature 340 OC, and steam capacity of 6 Ton/Hour and turbine outlet steam pressure of 3.5 Bar, then through performance analysis, the isentropic efficiency is obtained at 92.32%, and the overall efficiency of the steam power plant is 12.40%.
Design of a Boarding House Management Information System with Administration and Financial Report Features Abdul Khaliq; Fachrid Wadly; Banyu Yusadewo
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 3 (2025): October 2025 - January 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i3.248

Abstract

The rapid growth of boarding house businesses requires effective and accurate information management to support daily administrative and financial activities. Manual data processing in boarding house management often leads to inefficiencies, data redundancy, and errors in financial reporting. This study aims to design a Boarding House Management Information System with administration and financial report features to improve operational efficiency, data accuracy, and financial transparency. The system is designed using a web-based approach that supports the management of tenant data, room data, rental contracts, payment records, and automated financial reporting. The system development process follows the System Development Life Cycle (SDLC) methodology, including requirement analysis, system design, implementation, and testing stages. Unified Modeling Language (UML) diagrams are used to model system processes and database structures. The results of this study produce a management information system that facilitates administrative tasks such as tenant registration, room management, and payment monitoring, as well as financial report generation including income and expense reports. The implementation of the system is expected to reduce administrative errors, enhance data accessibility, and support decision-making for boarding house owners and administrators.
Data Visualization Shopping Trends XYZ Store Using Tableau Winda Erika
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 3 (2025): October 2025 - January 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i3.249

Abstract

The development of information technology encourages retail companies to utilize data in business decision-making. XYZ Store, as a retail business player, has sales transaction data that has the potential to provide important insights regarding customer shopping patterns. This study aims to visualize XYZ Store's shopping trends using Tableau as a business intelligence tool. The methods used include collecting sales transaction data, cleaning and processing data, and presenting data in the form of interactive visualizations. The resulting visualizations include sales trends based on time, product category, location, and customer behavior. The results show that the use of Tableau can help identify sales patterns, peak sales periods, and products that are most in demand by customers. With informative and easy-to-understand data visualizations, XYZ Store management can make strategic decisions more effectively and based on data.
DESIGN OF A NUTMEG SEED DRYING MACHINE BY USING A CONVEYOR WITH CAPACITY OF 40 KG/HOUR Soni Hestukoro; Dohar Sinabutar
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 3 (2025): October 2025 - January 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i3.252

Abstract

Nutmeg consists of fruit and seeds that have many uses so that they can be economically valuable and are widely used by various industries, but the process of drying nutmeg seeds still uses conventional methods, namely with the help of sunlight which in the rainy season is difficult to dry quickly, so this research was conducted to overcome this problem by increasing efficiency so that the income of nutmeg farmers increases by reducing the water content in nutmeg seeds in a short time which can be done in a closed room or in an open space using a hot gun as a heat source and the temperature in the drying machine is set to be maintained at 35 0C to 45 0C then the average water content before and after drying and drying time with variations in conveyor speed from 5 cm/s to 25 cm/s.
NUTRITIONAL AND PROBIOTIC QUALITY IN MAGGOT SUBSTRATE WASTE (KASGOT) FOR BROILER FEEDThis study aims to evaluate the nutritional quality and probiotic potential of Black Soldier Fly (BSF) maggot substrate waste or kasgot as an alternative feed ingredient Dini Julia Sari Siregar; Warisman
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 3 (2025): October 2025 - January 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

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Abstract

This study aims to evaluate the nutritional quality and probiotic potential of Black Soldier Fly (BSF) maggot substrate waste or kasgot as an alternative feed ingredient in broilers. The hypothesis of this study is that the addition of kasgot in the ration can increase the nutritional content as well as provide a probiotic effect that supports the health of the digestive tract of broiler chickens. The research was conducted using an experimental method with a Complete Random Design (RAL) consisting of 4 treatments and 5 replicates. The treatments provided include: P0 (control commercial feed), P1 (75% commercial feed + 25% cash), P2 (50% commercial feed + 50% cash), P3 (25% commercial feed + 75% cash), and P4 (100% cash). The parameters observed included the content of crude protein, crude fat, crude fiber, gross energy, and the potential of probiotic microbes in the cass. The results showed that P1 treatment provided the most optimal nutrient composition, with gross energy of 3078.34 cal/100g, crude protein 20.10%, and crude fat 5.35%. Giving kasgot at the level of 25% is considered more effective than higher levels because it maintains the nutritional balance of the ration and supports the function of natural probiotics for broilers. In conclusion, kasgot has the potential to be an alternative feed ingredient and a source of probiotics that can be used in the formulation of broiler chicken rations at a substitution level of 25%.
Dynamic Pricing Model on E-Commerce Products Based on Competitor Sentiment and Price Analysis Using Deep Reinforcement Learning Mohammad Yusup; Winda Erika; Arpan; Abdul Khaliq; Darmeli Nasution
Journal of Information Technology, computer science and Electrical Engineering Vol. 3 No. 1 (2026): February-May 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v3i1.254

Abstract

Price competition on increasingly competitive e-commerce platforms requires businesses to implement pricing strategies that are adaptive and responsive to market dynamics. Static pricing strategies have proven to be unable to accommodate changes in demand, competitor prices, and consumer perceptions in real-time. This study aims to develop a Dynamic Pricing model based on Deep Reinforcement Learning (DRL) using the Deep Q-Network (DQN) algorithm that integrates the sentiment analysis of consumer reviews with the IndoBERT model and competitor prices obtained through web scraping. The research data was collected from the Tokopedia marketplace in the electronic product category for six months (January-June 2024), including 12,450 product reviews and 3,200 snapshots of competitors' prices from 45 sellers. The fine-tuned IndoBERT model achieved an accuracy of 91.2% and an F1-score of 0.89 in the three-class sentiment classification. The results of the experiment showed that the proposed DQN model increased total revenue by 18.7%, profit margin by 14.3%, and conversion rate by 11.2% compared to the static pricing strategy. This model also outperformed rule-based pricing by 8.1% and Q-Learning tabular by 3.3% in revenue metrics. The Ablation study confirmed that the sentiment feature contributed 6.3 percentage points to the increase in revenue. This study proves that the integration of consumer sentiment signals and competitors' prices within the framework of DRL provides a more optimal and adaptive pricing strategy in the e-commerce environment.
Artificial Intelligence-Based Driver Drowsiness Alarm System for Real-Time Monitoring Gunawan; Achmad Yani; Heri Trisna Frianto; Junaidi
Journal of Information Technology, computer science and Electrical Engineering Vol. 3 No. 1 (2026): February-May 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

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Abstract

This research aims to design and build a drowsy driver detection alarm that uses Android-based artificial intelligence. Drowsy drivers are one of the factors that cause serious and potentially fatal traffic accidents. Therefore, it is necessary to develop a system that can detect the signs of drowsy drivers and provide timely warnings to prevent accidents. In this study, we implemented artificial intelligence technology to detect signs of drowsy drivers based on data analysis such as eye movements, head position, and driver activity. The system uses sensors and cameras on Android devices to monitor and analyze driver behavior in real-time. The designed system will alert the driver if signs of drowsiness are detected. The alert can be in the form of sound, vibration, or visual display on the Android device's screen. In addition, the system can also record and report drowsy driver detection data to related parties, such as vehicle owners or traffic control centers. The software development method used in this study is the software development lifecycle model (SDLC) with the stages of needs analysis, design, implementation, testing, and maintenance. We also used machine learning techniques to train sleepy driver detection models based on the data collected. The result of this study is a drowsy driver detection alarm system that can be integrated with Android devices. These systems can help prevent traffic accidents caused by drowsy drivers by providing timely and effective alerts.This research aims to design and build a drowsy driver detection alarm that uses Android-based artificial intelligence. Drowsy drivers are one of the factors that cause serious and potentially fatal traffic accidents. Therefore, it is necessary to develop a system that can detect the signs of drowsy drivers and provide timely warnings to prevent accidents. In this study, we implemented artificial intelligence technology to detect signs of drowsy drivers based on data analysis such as eye movements, head position, and driver activity. The system uses sensors and cameras on Android devices to monitor and analyze driver behavior in real-time. The designed system will alert the driver if signs of drowsiness are detected. The alert can be in the form of sound, vibration, or visual display on the Android device's screen. In addition, the system can also record and report drowsy driver detection data to related parties, such as vehicle owners or traffic control centers. The software development method used in this study is the software development lifecycle model (SDLC) with the stages of needs analysis, design, implementation, testing, and maintenance. We also used machine learning techniques to train sleepy driver detection models based on the data collected. The result of this study is a drowsy driver detection alarm system that can be integrated with Android devices. These systems can help prevent traffic accidents caused by drowsy drivers by providing timely and effective alerts.

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