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All Journal ComEngApp : Computer Engineering and Applications Journal Sinergi
Dinata, Noer Fadzri Perdana
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Development of insulation oil based on Palm Oil Mill Effluent with nano silica Sidik, Muhammad Abu Bakar; Amalia, Dewi; Agustina, Tuty Emilia; Dinata, Noer Fadzri Perdana; Fitria, Syarifa; Anwar, Wiwin Armoldo Oktaviani
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.018

Abstract

Various studies and research have been conducted to find alternatives to liquid insulation. One that is considered the most potential is vegetable oil since it has various advantages, including non-toxic, biodegradable, renewable waste products due to reactions in the form of CO2 and water, high flash points, and better thermal characteristics. In this study, Palm Oil Mill Effluent (POME) was used as the raw material for insulation oil with the addition of an additive in the form of nano-silica, which improves the quality of the insulation oil. As for determining the feasibility of insulation oil, characteristic tests were carried out in the form of density, viscosity, moisture content, acid number, pour point, flash point, and breakdown voltage. Based on the results of the tests, it was obtained that the lowest density in pure oil was 0.8757 g / cm³, the lowest viscosity in oil with the addition of 0.13 wt% nano-silica was 4.0248 cSt, and the lowest acid number in pure oil was 0.5797 mgKOH / g. It was also discovered that the pour point value is the same for each sample, the moisture content is 0.05%, the flashpoint is > 104 °C, and the breakdown voltage is ≥ 60 kV for each sample. The data show that the insulation oil made from POME has the potential to be used as an alternative to insulation oil.
Improving Low-Cost Single-Phase Inverter Performance using DRL-Based Control System: Experimental Validation Jambak, Muhammad Irfan; Sidik, Muhammad Abu Bakar; Dinata, Noer Fadzri Perdana
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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Abstract

This paper presents the improvement of a low-cost, single-phase pure sine wave inverter controlled by a deep reinforcement learning (DRL) agent. The study addresses the challenge of lacking performance of low-cost inverter, which is primarily due to the stability requirements of conventional control strategies. A DRL- based control approach is proposed to enhance voltage and frequency stability while reducing the need for extensive manual tuning. The system is validated through both simulation and experimental verification in a microgrid islanded configuration. The results demonstrate that the DRL-based inverter effectively maintains 220 VRMS at 50 Hz, achieving a stable root mean square voltage of 219.8 V, and a total harmonic distortion (THD) below 8%. The use of DRL making it an attractive solution for renewable energy systems, off-grid applications, and rural electrification. This study highlights the feasibility of DRL in power electronics and suggests that further optimization of training generalization and computational efficiency could enhance real-time and grid-tied deployment. The findings contribute to the advancement of intelligent inverter control, offering an alternative for next-generation microgrid and distributed energy systems.
Co-Authors ANWAR, WIWIN ARMOLDO OKTAVIANI Dewi Amalia Fitria, Syarifa Muhammad Abu Bakar Sidik Muhammad Irfan Jambak Tuty Emilia Agustina