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All Journal Syntax Literate: Jurnal Ilmiah Indonesia Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE)
Amali, Rully Burhan
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Anomaly Detection on CBTC Wayside Units with the Random Forest Algorithm for Condition-Based Maintenance Amali, Rully Burhan; Alamsyah, Ahmad Tossin; Sutiyo, Sutiyo
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 6, No 2 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v6i2.25625

Abstract

This study proposed an anomaly detection model for wayside units in Communication-Based Train Control (CBTC) systems using the Random Forest algorithm. The primary goal was to identify deviations in technical parameters such as voltage, temperature, humidity, and signal strength (RSL) that may indicate potential failures in the system. Data were collected from IoT-based sensors deployed on MRT Jakarta’s CBTC wayside units and transmitted via HTTP to a cloud database for further processing. The Random Forest model was trained using labeled data and evaluated using unseen test data. The evaluation metrics, accuracy, precision, recall, and F1-score, reached 100%, indicating that the model correctly identified both normal and anomalous conditions without misclassification. Further analysis showed that high humidity, excessive panel temperature, and low RSL values were the most frequent anomaly indicators. Based on this, the system also generated maintenance recommendations, making it not only reactive but also proactive in supporting condition-based maintenance (CBM). The results demonstrated that the Random Forest-based anomaly detection system is highly effective, scalable, and reliable for real-time monitoring of railway infrastructures. This approach can serve as a foundation for future development of smart maintenance systems in other safety-critical domains.
Comparative Study of IPTV & OTT Video From Technical and Business Aspects Amali, Rully Burhan; Alamsyah, Ahmad Tossin; Sutiyo, Sutiyo
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i7.60973

Abstract

The purpose of this research is to investigate the technical and business elements of IPTV and OTT Video, compare their advantages and disadvantages, and estimate their future growth potential. The research methods used are a literature review to collect relevant data and information and a SWOT analysis to evaluate strengths, weaknesses, opportunities, and threats. The results of the SWOT analysis show that IPTV has strengths in service quality, wide adoption in developed countries, and strong market growth in North America. However, there are weaknesses related to dependence on stable network infrastructure and geographical limitations. On the other hand, OTT video services offer high flexibility and accessibility, as well as a wide variety of content. However, they are also dependent on a stable internet connection and subscription fees may increase. In terms of opportunities, both services can capitalize on the growing demand for video content and technological advancements such as 5G networks. However, threats come in the form of intense competition between OTT service providers and strict regulations regarding copyright and privacy.
Co-Authors Alamsyah, Ahmad Tossin Sutiyo Sutiyo Sutiyo