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Indah Purnama Sari
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Jl. Batang Kuis - Lubuk Pakam Gg. Cempaka Dusun III No. 3, Tanjung Sari, Batang Kuis, Kab. Deli Serdang Sumatera Utara
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Tsabit
Published by Ilmu Bersama Center
ISSN : -     EISSN : 30628504     DOI : https://doi.org/10.56211/tsabit
Core Subject : Science,
Computer Science & IT
Tsabit Journal of Computer Science is open to researchers and experts in the field of Computer Science. This journal functions as a forum for disclosing research results both conceptually and technically related to computer science. Tsabit journal of computer science is published twice a year, namely in June and December. Submitted manuscripts will be accepted by the editor and then checked for similarities with the Turnitin application. The review process is carried out using Double Blind Peer Review. Manuscripts received are expected to relate to new technologies and current issues. Please read the Guidelines and Template for this journal carefully. Authors who wish to send their manuscripts to the Tsabit Journal of Computer Science editorial team must comply with the writing guidelines. Tsabit Journal of Computer Science accepts manuscripts on the topics Software Engineering, Media, Game and Mobile Technologies, Data Mining, Information Security, Image Processing and Pattern Recognition, Natural Language Processing, Smart City, Expert System, Decision Support System, Cloud Computing, Digital Forensics , Artificial Intelligence, Machine Learning, Computational Intelligence, Computer Networking and other study topics relevant to Computer Science.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 15 Documents
 1   2 
A Simulation-Based Analysis of Dual-Counter Service Efficiency and Profitability Laila, Sintya; Azizah, Nur; Prasetyo, M. Aditya; Hasibuan, Indah Larasati
Tsabit Journal of Computer Science Vol. 1 No. 2 (2024): December Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit40

Abstract

Queue systems play a critical role in service industries, affecting customer satisfaction and operational performance. This study investigates the optimization of a dual-counter queue system consisting of regular and express counters, each with distinct service rates, operational costs, and profit margins. Using simulation modeling, the study aims to evaluate system performance, identify profit-maximizing strategies, and provide actionable insights for service management. The methodology involves simulating customer arrivals, service rates, and operational costs over a 60-minute period. Key metrics analyzed include the number of customers served, total operational costs, and net profit for each counter. The results reveal that express counters, despite higher operational costs, generate greater net profit per customer compared to regular counters. The findings underscore the importance of strategic resource allocation and cost-benefit analysis in queue management systems. This research contributes to the field by addressing a gap in the application of simulation for dual-counter systems, providing a framework for optimizing service operations across various industries. Further research is recommended to explore additional variables, such as customer preferences and dynamic arrival rates, to enhance the robustness of the simulation model. The purpose of the study entitled "A Simulation-Based Analysis of Dual-Counter Service Efficiency and Profitability" is most likely to analyze the effectiveness and efficiency of the service system in a dual-counter environment.
Design of IoT Based Electrical Parameter Monitoring System using NodemCu V3 and PZEM-004T V3 Sensor Rangkuti, Tegar Hilmansyah; Martiano, Martiano
Tsabit Journal of Computer Science Vol. 2 No. 1 (2025): June Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit42

Abstract

This research aims to design an electrical parameter monitoring system based on the Internet of Things (IoT) using NodeMCU V3 and the PZEM-004T V3 sensor. The system is designed to monitor various electrical parameters in real-time, including voltage, current, power, power factor, frequency, and energy consumption with high accuracy. Data collected by the PZEM-004T sensor is transmitted to Blynk via a Wi-Fi connection facilitated by NodeMCU V3. Users can access this information through Blynk, enabling efficient energy consumption management. By integrating IoT technology, this system provides a practical solution for monitoring and controlling electricity usage in household environments. The implementation of this system is expected to help users optimize energy consumption and effectively reduce electricity costs.
Development of Babinsa 0205/TK Performance Monitoring System using Copras Complex Proportional Assessment Method Sundari, Razdnie Rhaka; Amrullah, Amrullah
Tsabit Journal of Computer Science Vol. 2 No. 1 (2025): June Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit43

Abstract

This study aims to develop a performance monitoring system for Babinsa 0205/TK utilizing the COPRAS (Complex Proportional Assessment) method. COPRAS, a Multi-Criteria Decision Analysis (MCDA) technique, allows for the evaluation of performance based on various criteria such as discipline, initiative, and communication skills. The system is designed to provide an objective and proportional assessment of Babinsa performance by assigning weights to each criterion and calculating the overall score. The development of this system has demonstrated improved accuracy in performance evaluation and enhanced transparency, providing a solid foundation for decision-making in performance management. The implementation of this system is expected to enhance the effectiveness of monitoring, accountability, and performance improvement for Babinsa, thereby supporting better execution of duties at the village level.
Comparison of Random Forest and XGBOOST Methods on Weather in North Sumatera Sibuea, Royhan Umri; Maulana, Halim
Tsabit Journal of Computer Science Vol. 2 No. 1 (2025): June Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit44

Abstract

Accurate weather forecasting is crucial for various sectors, including agriculture, transportation, and disaster management. The weather data used includes variables such as humidity, temperature, and wind speed collected from weather stations across North Sumatra. The Random Forest method is an ensemble algorithm based on decision trees known for its ability to handle overfitting and provide accurate results. On the other hand, XGBoost is a boosting technique that improves model performance through iterative learning, correcting errors made by previous models. Research results show that both methods have their respective advantages in terms of accuracy and prediction speed. The Random Forest method yields a Root Mean Squared Error (RMSE) of 0.753732 and a Coefficient of Determination (R²) of 0.736315. In contrast, XGBoost shows a slightly lower RMSE of 0.737818 and a higher R² of 0.747332. It is concluded that XGBoost performs slightly better in minimizing prediction errors (RMSE) and improving model fit to the data (R²) compared to Random Forest.
Web-Based Final Assignment Monitoring Information System Design Simanjuntak, Pastima; Jayadi, Akhmad; Lase, Devi Chrisman
Tsabit Journal of Computer Science Vol. 2 No. 1 (2025): June Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit45

Abstract

This study aims to design a web-based final assignment monitoring information system in the Business Administration Study Program, Malikussaleh University. This is motivated by various problems in the process of submitting and managing final assignments which are still done manually, such as administrative errors and the slow process of submitting final assignments by students. To overcome these problems, a web-based monitoring information system was developed using the CodeIgniter framework, Bootstrap, and an integrated MySQL database. This system is equipped with several main features, including monitoring student and lecturer data, recording guidance progress, managing activity schedules, and real-time notifications. The implementation results show that the system has succeeded in automating the final assignment administration process, facilitating monitoring guidance progress, and increasing the effectiveness of communication between students and supervisors. With this system, it is expected to provide a structured and efficient solution in managing final assignments.

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