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p-Index From 2021 - 2026
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All Journal Journal of Renewable Energy, Electrical, and Computer Engineering
Muzamir Isa
School of Electrical System Engineering, Universiti Malaysia Perlis, Perlis
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Design of Automatic Pond Water Quality Control in Koi Fish Farm Muhammad Daud; Rizqan Fachroji; Arnawan Hasibuan; Raihan Putri; I Made Ari Nratha; Muzamir Isa
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 1 (2023): March 2023
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v3i1.9730

Abstract

Koi fish is a type of freshwater ornamental fish that has high economic value. Koi fish have attractive body colors and ideal body shapes so they have good sales prospects. However, koi fish farming has several obstacles, one of which is the low recovery rate and the relatively slow growth of fish. Water quality is the main parameter in the success of a fishing effort. Therefore, this study designed a tool that can help koi fish farmers in unifying the quality of pond water so that koi fish can grow and develop properly. This monitoring system is designed by implementing an automatic control monitoring system to produce good water quality for koi fish farming. Data obtained from water quality monitoring are parameters of pH, ammonia, and water temperature. The results of this cultivator's research can monitor the quality of fish pond water and immediately get water quality control automatically.
Design of Midi Drum Controller Using Piezoelectric and Arduino-Based TCRT5000 Sensor to Facilitate Sound Engineer Performance in the Music Industry Mirza Maulana; Kartika Kartika; Asran Asran; Misbahul Jannah; Arnawan Hasibuan; M Mursalin; Waleed Khalid Ahmed Al-Ani; Muzamir Isa
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 2 (2023): September 2023
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v3i2.11743

Abstract

This study discusses the Midi Drum Controller using the Arduino Mega which has many analog pins making it suitable for producing complete drum pads as well as piezoelectricity which is used to detect vibrations when the drum pad is beaten, as well as the Tcrt5000 sensor which is used to control the hi-hat so that it can move. from the sound of an open hi-hat to a closed hi-hat. The results of this study indicate that piezoelectricity can detect vibrations and dynamics of strong and weak drum beats and send the game to midi-based virtual drum applications. The Tcrt5000 sensor used can also work well, judging by the sound it produces and the data sent when the Tcrt5000 sensor is on and off.
Electrical Energy Audit of Operation Support Equipment at 200 MW Steam Power Plant Heri Priagusno; Surya Hardi; Rohana Rohana; Arnawan Hasibuan; Muzamir Isa
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i1.13521

Abstract

Based on data from the Pangkalan Susu steam power plant, the total amount of electrical energy used for generating process is on average 10% by the total of electrical energy generated by the plant. Increasing of electrical energy used will reduce the electrical energy sales to the network system. This research was carried out with reference according to ISO 50006:2014. This research is studies to the sample equipment with the largest rating capacity (significant energy user), such as boiler and turbine operation support equipment with on voltage 6 kV. The data of electrical energy in equipment is taken from the last 3 years historical data, namely in 2020, 2021 and 2022, Furthermore, the lowest point of electrical energy usage data was selected, then analyzed with the Linear Regression method to obtain the baseline Energy equation. The equation is used to conduct an analysis by comparing against the new data of the electrical energy in equipment, namely on April 1, 2023, the analysis showed that there was a waste of electrical energy of 164.12 kW equivalent to a fuel purchase loss of IDR 2,343,960 in 1 day. Furthermore, the baseline equation is used to input formulas in the AVEVA application (PI VISION). The Changes of electrical energy used will be monitored directly, so that if there is a waste of electrical energy, the operating pattern can be regulated directly to avoid energy waste in the electrical equipment and earn the fuel cost reduction of the Steam Power Plant.
Co-Authors Arnawan Hasibuan Asran Asran Hardi, Surya Heri Priagusno I Made Ari Nratha Kartika Kartika M Mursalin Mirza Maulana Misbahul Jannah Muhammad Daud Raihan Putri Rizqan Fachroji Rohana Ismail Waleed Khalid Ahmed Al-Ani