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Studi Analisis Risiko Keselamatan dan Kesehatan Kerja dengan Metode HAZOP pada PT. PLN (Persero): Indonesia Hilda Ashari; Akhyar Muchtar; Kholik Prasojo
Micronic: Journal of Multidisciplinary Electrical and Electronics Engineering Volume 3, Issue 2, Desember 2025
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jm3e.v3i2.1208

Abstract

Penelitian ini bertujuan menganalisis risiko Keselamatan dan Kesehatan Kerja (K3) menggunakan metode Hazard and Operability Study (HAZOP) pada PLN Unit Layanan Pelanggan (ULP) Panakkukang. Pendekatan penelitian yang digunakan adalah kuantitatif deskriptif dengan pengumpulan data melalui observasi langsung, kuesioner, wawancara, dan dokumentasi. Hasil kuesioner terhadap 30 responden yang merupakan karyawan PT. PLN (Persero) ULP Karebosi menunjukkan bahwa penerapan dan pengawasan K3 berada pada kategori sangat baik sebanyak 7 orang (23,3%), baik sebanyak 20 orang (66,7%), cukup baik sebanyak 2 orang (6,7%), kurang sebanyak 1 orang (3,3%), dan sangat kurang tidak ada (0%). Dengan demikian, penerapan K3 secara umum tergolong baik. Melalui analisis HAZOP, teridentifikasi 24 potensi bahaya yang dikelompokkan ke dalam empat tingkat risiko: 50% risiko ekstrem, 13% risiko tinggi, 20% risiko sedang, dan 17% risiko rendah. Upaya pencegahan dan mitigasi yang direkomendasikan meliputi penerapan SOP yang ketat, penyediaan alat pelindung diri (APD) yang memadai, pelatihan keselamatan kerja berkala, pemeliharaan peralatan, pengawasan lapangan secara intensif, serta simulasi penanganan keadaan darurat.
a Design of an IoT-Based Control and Monitoring System for a Biogas Power Generation Plant Using POME Waste from Palm Oil Mills: a Design of an IoT-Based Control and Monitoring System for a Biogas Power Generation Plant Using POME Waste from Palm Oil Mills Asminar Asminar; Rifki Rifki; Akhyar Muchtar; Abdul Djohar; Agustinus Lolok; Mustarum Musaruddin; Hasmina Tari Mokui; Adhi Setiawan Samsul
Journal of Renewable Energy and Smart Device Vol. 4 No. 1 August 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v4i1.1054

Abstract

Palm Oil Mill Effluent (POME) contains a high organic load that can be converted into biogas through anaerobic digestion and subsequently utilized for electricity generation. However, maintaining stable digester conditions requires an integrated monitoring and control system capable of observing critical operating parameters. This study presents a conceptual design and theoretical assessment of an Internet of Things (IoT)-based monitoring and control system for a POME-based biogas power plant. The proposed architecture integrates an anaerobic digester, gas holder, biogas generator, ESP32 microcontroller, temperature, pressure, methane concentration, and gas flow meter, cloud communication through MQTT/HTTP protocols, and web- and mobile-based dashboards. A threshold-based control strategy is proposed to regulate gas pressure and digester temperature. This study did not include physical system implementation or experimental field testing. Based on the adopted design assumptions, processing 300 metric tons of fresh fruit bunches generates approximately 240 m³ of POME and 6,000 m³ of biogas. Using a methane fraction of 60%, a methane calorific value of 35.7 MJ/m³, and a fixed generator efficiency of 35%, the theoretical electrical energy output is estimated at 12,495 kWh per production cycle. The proposed design provides an integrative framework for future prototype development and experimental validation of IoT-based monitoring and control in POME biogas power plants.