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Tri A. Sundara
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tri.sundara@stmikindonesia.ac.id
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 65 Documents
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Search results for , issue "Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science" : 65 Documents clear
Performance Evaluation of Dual Active Bridge DC-DC Boost Converter Khin San Myint; May Su Hlaing; Tin Tin Hla
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4773

Abstract

This research presents a detailed performance analysis of a Dual Active Bridge (DAB) DC-DC converter, focusing on the impact of MOSFET on-resistance (Rds(on)) on converter efficiency and output characteristics. Using MATLAB simulink model, this work implements proportional-integral (PI) controllers for improved output current and voltage stability and pulse width modulation (PWM) for voltage regulation. To assess their impact on converter losses and overall performance, simulations are run using different MOSFET Rds(on) values. The results highlight the relationship between Rds(on) and efficiency, demonstrating how lower MOSFET on-resistance leads to lower losses and better converter performance. To measure the improvements, losses are computed, and the output voltage and current under various Rds(on) situations are displayed. This study offers insightful information for improving the performance and efficiency of power converters. Additionally, it compares the performance of PWM alone and PWM and PI together. The effect of frequency on the converter is then also explained.
Critical Success Factors for the Implementation of an EDRMS in the Government of The Gambia: A PMBOK 7th Edition Approach Jallow, Fatoumatta Binta; Raharjo, Teguh; Trisnawaty, Ni Wayan
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4775

Abstract

The successful implementation of an Electronic Document and Records Management System (EDRMS) in the public sector faces significant challenges, particularly in developing countries like The Gambia. Poor system integration, data security risks, resistance to change, and lack of leadership support hinder adoption. This study applies the PMBOK 7th Edition framework to identify critical success factors (CSFs) for EDRMS implementation. Using a Systematic Literature Review (SLR), this research analyzes key factors, including system compatibility, cybersecurity, legal compliance, and stakeholder engagement. Findings indicate that a structured project management approach enhances adoption by ensuring effective integration, risk mitigation, and user acceptance. The study provides practical recommendations for policymakers and IT managers to optimize digital record management strategies. Future research should explore case studies and emerging technologies such as AI and blockchain to strengthen EDRMS adoption.
Implementation of Business Process Improvement (BPI) to Enhance Stock Opname and Purchasing Efficiency at XYZ Coffee Nur Azizyah Putri Dewita; Adam Hermawan; Rangga Gelar Guntara
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4776

Abstract

This study discusses the implementation of Business Process Improvement (BPI) through the adoption of a Point of Sale (POS) system and organizational restructuring to optimize stock-taking and purchasing processes at Soulja Coffee. The research employs the DMAIC (Define, Measure, Analyze, Improve, Control) approach to analyze and improve key business processes. The findings indicate that the purchasing process time decreased by up to 70%, from 4 hours 25 minutes – 5 hours 30 minutes to 1 hour 16 minutes – 2 hours 22 minutes per week. The Cost of Goods Sold (COGS) decreased from 54.9% in November to 38.2% in January, while Operating Expenses (OPEX) dropped from 34.6% to 16.4%, reflecting significant cost efficiency. The POS system enables real-time stock monitoring, reduces manual errors, and accelerates the procurement process. Organizational restructuring, including the establishment of a Finance & Purchasing division, shortened purchase approval times from 10 minutes to 3 minutes, improving responsiveness and transparency. Thus, the implementation of BPI at Soulja Coffee has proven effective in enhancing time efficiency, reducing operational costs, and supporting sustainable business growth.
Perbandingan Nilai Akurasi Analisa Sentiment Pada Kata Kunci Pemilu 2024 I Wayan Suardi
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4777

Abstract

Democracy is a government system that gives equal rights to every citizen in making decisions that can affect their lives. In Indonesia, the democratic system is realized through the General Election (Pemilu) organization, which is held periodically. An election is always discussed in the real and virtual worlds, especially on X social media. Considering the huge number of tweets, manual analysis of public opinion is inefficient. Therefore, technology is needed to analyze and categorize tweets into positive or negative sentiments automatically. This research compared the accuracy value of sentiment analysis on 2024 election data keywords using the NAIVE BAYES CLASSIFIERS and SUPPORT VECTOR MACHINE methods. The data used was 5651 tweets and obtained an accuracy value of 64.59% in the naïve bayes classifiers method and 76.14% in the support vector machine method. It shows that SVM is reliable in the context of sentiment analysis involving complex and diverse data.
Analisis Performa Penjualan dan Prediksi Omzet dengan Pendekatan Market Basket Analysis Berbasis Data Analytics Ramadhani, Jilang; Efrizoni, Lusiana; Yenni, Helda; Zoromi, Fransiskus
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4788

Abstract

Pesatnya perkembangan bisnis ritel menuntut strategi pemasaran berbasis data untuk meningkatkan performa penjualan dan omzet. Penelitian ini menggunakan Market Basket Analysis (MBA) dengan algoritma Apriori untuk mengidentifikasi pola pembelian konsumen dan Regresi Linear Sederhana untuk memprediksi omzet berdasarkan jumlah transaksi harian. Data transaksi Alfamart Wingky Mart periode Maret–September 2024 dianalisis guna menemukan hubungan antar produk serta tren penjualan. Hasil MBA menunjukkan kombinasi produk Bimoli, Gula, dan Tepung memiliki support 42.16% dan confidence 99.37%, yang dapat dimanfaatkan untuk strategi pemasaran. Model regresi menghasilkan R² sebesar 35.65%, menunjukkan hubungan antara jumlah transaksi dan omzet, meskipun masih terdapat faktor lain yang berpengaruh. Penelitian ini memberikan wawasan strategis bagi bisnis ritel dalam optimasi tata letak produk, promosi bundling, serta peningkatan omzet berbasis analisis data.
Navigating the Frontier: Theoretical Frameworks and Technical Approaches to Responsible AI Tiwari, Naresh
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4789

Abstract

This paper provides a comprehensive analysis of responsible AI development, examining both theoretical foundations and practical implementations. It explores core ethical principles including fairness, accountability, transparency, and safety, while also addressing emerging concepts like autonomy, dignity, and solidarity. The research analyzes competing philosophical frameworks—consequentialist, deontological, and virtue ethics—and highlights tensions between universalist and particularist ethical perspectives. The paper documents regional variations in responsible AI approaches across Europe, the United States, and East Asia, noting the concerning underrepresentation of Global South perspectives. Technical advancements in fairness are thoroughly examined, including pre-processing, in-processing, and post-processing techniques, alongside newer fairness-aware deep learning methods involving attention mechanisms and transfer learning. The work further investigates transparency challenges, comparing local and global explainability methods, and addresses the unique interpretability issues posed by foundation models and large language models. Safety and alignment techniques are also explored, including robustness against adversarial attacks, constitutional AI approaches, and various value learning methodologies. The paper concludes by evaluating measurement frameworks and assessment strategies for responsible AI interventions, offering insights into evaluation frameworks, benchmarks, and longitudinal studies needed to advance the field. 
Prediksi Nilai Redaman Jaringan Fiber Optik untuk Menilai Kinerja Jaringan Menggunakan Random Forest Regression Febrianda Putra; Susanti; Herwin; Khusaeri Andesa; Mardainis
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4796

Abstract

The increasing demand for telecommunication services requires reliable fiber optic network infrastructure. However, signal attenuation remains a major challenge in data transmission that leads to service quality degradation. This research aims to predict fiber optic network attenuation values using the Random Forest Regression algorithm by utilizing historical data from PT. Telkom Akses Indonesia. The dataset consists of 1225 New Connection Installation (PSB) data with features including ODP coordinates, customer location, cable length, and attenuation values. Research results show that the model with a 90:10 data ratio provides optimal performance with an R² Score of 0.9832, MSE of 0.0559, RMSE of 0.2363, and MAE of 0.1009. The model successfully explains 98.32% of variation in network attenuation data. Predictions of attenuation values for future periods show a stable trend, enabling proactive assessment of fiber optic network performance so operators can anticipate disruptions before they impact customer service.
Smart Surveillance Systems: Trends, Challenges and Future Directions Moepi, Glen
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4802

Abstract

Smart surveillance systems integrate the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and extensive data processing (big data) to enhance real-time monitoring, automated decision-making, and data analytics across multiple sectors. In security, they improve threat detection through facial recognition and pattern analysis. In power distribution, they enhance grid stability and detect unauthorized electricity usage using predictive analytics and advanced metering infrastructure (AMI). Agriculture benefits from precision farming, optimizing resource use while monitoring crops and livestock. Despite their advantages, these systems face challenges such as high implementation costs, communication limitations, data privacy concerns, and digital security risks (cybersecurity). Urban areas benefit from high-speed networks like fifth-generation wireless technology (5G) and fiber optics, yet costs and cyber vulnerabilities remain issues. In rural regions, limited internet access hinders adoption, necessitating alternatives like satellite technology and Long-Range Wide Area Network (LoRaWAN). Overcoming these challenges will drive the development of scalable, intelligent monitoring solutions, ensuring broader accessibility and efficiency in various industries.
Exploring AutoText Summarization Methods in Turkish: A Literature Review Alipour, Neda; Pourmousa, Hadi; Naserinia, Mohammad
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4803

Abstract

In recent years, the huge volume of textual data has become a challenge, as this challenge is seen in various fields, including scientific articles, legal documents, Internet archives, and even online product reviews. Given the limited data processing capacity of humans, processing large amounts of data is impractical and causes confusion; on the other hand, it requires a lot of effort, which ultimately results in a waste of time. To overcome this problem, the need to implement automated techniques such as automatic text summarization has emerged. Automated text summarization is an automated technique used to create a more condensed version of the original content that provides the same meaning and information. In fact, the generated output should contain important information from the original document. Various techniques for automatic summarization have been proposed in studies. Many studies have been presented on automatic text summarization methods, however, limited papers have contributed to reviewing different techniques of summarization methods in different languages, so this topic is evolving to reach maturity. This study focuses on different automatic text summarization methods in Turkish by reviewing the literature and previous studies, thus analyzing the performance of automatic text summarization methods.
Investigation of Macrobending Losses in Single Mode Optical Fiber Han, War War Moe Myint; Hla, Tin Tin
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4804

Abstract

Microbending losses are initiated by bending the optical fiber and caused escaping the light from the cladding and core. Macrobending losses degrade the signal quality in long-haul data communication. In the proposed system, macrobending losses are measured by different bending diameters of patch cord single-mode fiber G.652 optical fiber cable by using an Optical Time Domain Reflectometer (OTDR) and an optical power meter to identify the bending losses. The investigation of macro-bending losses aims to analyze the signal power loss in single-mode fiber. The proposed system is investigated by measuring the optical power losses at different bending diameters ranging from 200 mm to 80 mm and the number of turns up to 5 turns and comparison of losses variation for wavelengths 1310 nm and 1550 nm, which are affected by macrobending. The results are compared with theoretical calculations and the practical measurements.

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