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All Journal International Journal of Electrical and Computer Engineering Jurnal Penelitian Pendidikan IPA (JPPIPA)
Aditya Dwi Prasetio, Aditya Dwi
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Electrical & Electronics Engineering Materials Science & Nanotechnology Physics

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Optical laser-generated electricity for powering tilt-meter sensor Nelfyenny, Nelfyenny; Bayuwati, Dwi; Suryadi, Suryadi; Husdi, Irwan Rawal; Mulyanto, Imam; Prasetio, Aditya Dwi; Irawan, Dedi; Widiyatmoko, Bambang; Setiono, Andi
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6140-6147

Abstract

This research investigated the feasibility and efficacy of power over fiber (PoF) transmission systems for geotechnical monitoring applications, addressing challenges associated with traditional power transmission methods. Leveraging fiber optic technology, PoF systems offer advantages such as high reliability, minimal signal loss, and immunity to environmental factors. The study presents a detailed design and implementation of a PoF transmission system, integrating a high-power laser source (HPLS) and photovoltaic technology for efficient power transmission over extended distances. Results demonstrate impressive volt-ampere characteristics and conversion efficiencies, with the optimized system configuration achieving a peak power output of 682 mW. Furthermore, the study evaluated the performance of a surface inclinometer sensor powered by the PoF system, showcasing its effectiveness in monitoring soil movements with remarkable stability and consistent power supply. Future research directions include scalability studies, optimization of system efficiency, and field deployments to broaden the applicability of PoF technology in geotechnical monitoring, ultimately advancing disaster mitigation and infrastructure resilience efforts.
Karakteristik Atenuasi Seismik di Pulau Sumba Berdasarkan Analisis Gelombang Coda Ariyanti, Ayu Puput; Anggono, Titi; Prasetio, Aditya Dwi; Kirana, Kartika Hajar
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.10870

Abstract

Coda wave data from four stations are to understand seismic attenuation on Sumba Island. Specifically, we estimate the quality factor at 1 Hz (Q₀) and its frequency dependence (η) across multiple window lengths (20–120 s) and frequency bands (1–7 Hz) using waveform data from 394 local earthquakes. The aim is to evaluate how these parameters reflect crustal heterogeneity and tectonic activity. Results show that Q₀ increases with window length, indicating that coda waves progressively sample deeper and more homogeneous layers, while high η values at shorter windows suggest significant near-surface heterogeneity. These findings highlight a depth-dependent variation in seismic attenuation and structural complexity. The study reveals spatial variability, with MELO station showing anomalously high Q₀ values, likely due to localized site conditions or deeper structural influences. Sumba’s location within the tectonically active Sunda-Banda arc transition zone further supports these observations. The combination of low Q₀ and high η values confirms high tectonic activity, and the use of coda wave attenuation analysis offers a reliable, parameter-based framework for assessing seismic hazard potential in regions with complex geodynamics. This work fills a research gap by providing empirical data and interpretation for a previously underexplored area in eastern Indonesia.
Co-Authors Andi Setiono Ariyanti, Ayu Puput Bambang Widiyatmoko dedi irawan Dwi Bayuwati Husdi, Irwan Rawal Imam Mulyanto Kartika Hajar Kirana, Kartika Hajar Nelfyenny, Nelfyenny Suryadi Suryadi Titi Anggono