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All Journal International Journal of Artificial Intelligence Research Power Elektronik : Jurnal Orang Elektro
Rizqon Robie, Rizqon
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Penerapan Reliability Centered Maintenance Pada Fasilitas Power PT. H3I Untuk Peningkatan Ketersediaan Jaringan Robie, Rizqon
Power Elektronik : Jurnal Orang Elektro Vol 14, No 2 (2025): POWER ELEKTRONIK
Publisher : Politeknik Harapan Bersama Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/polektro.v14i2.8952

Abstract

Ketersediaan jaringan (Network Availability) merupakan aspek vital dalam industri telekomunikasi yang kompetitif, terutama di Indonesia sebagai negara kepulauan yang menghadapi tantangan pasokan listrik di berbagai wilayah. PT. Hutchison 3 Indonesia (H3I) sebagai operator telekomunikasi nasional telah mengandalkan perangkat cadangan listrik seperti Genset, HFC, dan CDC untuk menjaga kestabilan jaringan. Namun, pendekatan pemeliharaan sebelumnya masih bersifat reaktif dan tidak berbasis analisis keandalan. Penelitian ini bertujuan untuk menerapkan Reliability Centered Maintenance (RCM) dalam meningkatkan keandalan sistem kelistrikan cadangan, khususnya Genset, dengan fokus pada sistem Automatic Transfer Switch (ATS). Metode yang digunakan meliputi analisis FMEA (Failure Mode and Effect Analysis), Intermediate Decision Tree (IDT), dan Logic Tree Analysis (LTA) berdasarkan data Trouble Ticket (TT) dari Januari hingga Mei 2015. Hasil analisis menunjukkan bahwa komponen seperti Lightning Arrester, Modul AMF, dan Contactor merupakan elemen kritis yang berdampak langsung terhadap kegagalan sistem. Tindakan pemeliharaan seperti inspeksi berkala, monitoring kondisi, dan penjadwalan penggantian direkomendasikan sebagai strategi mitigasi. Implementasi RCM terbukti memberikan pendekatan sistematis untuk meningkatkan keandalan sistem dan menurunkan potensi downtime, sehingga mampu meningkatkan performa operasional jaringan secara keseluruhan.
Evaluation of IoT Regulatory Readiness in Indonesia and Policy Recommendations to Support Safe and Effective Implementation Robie, Rizqon; Munadi, Rendy; Jumhur, Helni Mutiarsih
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1639

Abstract

The rapid development of Internet of Things (IoT) technology in Indonesia presents significant opportunities as well as regulatory challenges. Although IoT adoption continues to increase across various sectors, national policies remain fragmented and lack an integrated framework to support safe and effective implementation. This study assesses Indonesia's readiness for IoT regulation and formulates policy recommendations using a mixed-methods approach. The dataset used in this study comprises both secondary and primary data. Secondary data includes Indonesia's Cybersecurity data, Digital Infrastructure Status, IoT Regulations and Laws, Bappenas Studies, Data from Bappenas, and several policies in other countries, such as America, China, Japan, Korea, and Europe. Meanwhile, primary data was collected through questionnaires distributed to several elements, including 61.5% respondents from IoT users, 19.3% respondents from IoT business actors/IoT Startups, 15.8% academics, and 3.7% Government as regulators. The results of this data were then processed to determine government policy readiness by implementing DDPG, where the state space consists of 6 dimensions of leading regulatory readiness indicators (infrastructure, security, data protection, interoperability, institutional maturity, and economy). The action space is a 6-dimensional vector with continuous values in the range of [-1, 1], representing policy interventions in each dimension. The implementation applies reward functions, actor networks, and critic networks. Training data was applied for several episodes at 400 and 1000 episodes. The comparison results show that IoT regulations and policies in Indonesia should be designed with an adaptive approach based on Reinforcement learning, where the balance between data security, technology readiness, and market penetration can be dynamically adjusted to national and global conditions
Co-Authors Helni Mutiarsih Jumhur Rendy Munadi