Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

1.497

P-Index

This Author published in this journals

All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Transmisi: Jurnal Ilmiah Teknik Elektro Jurnal Teknologi Journal of Electrical Technology UMY International Journal of Artificial Intelligence Research JURNAL INSTEK (Informatika Sains dan Teknologi) INTEK: Jurnal Penelitian Jurnal Teknologi Elekterika Jurnal JEETech JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Teknik Mesin Sinergi

Marhatang Marhatang

Politeknik Negeri Ujung Pandang

Author-ID : 2406682

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Mechanical Engineering

Published : 23 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

Prototype of AC Microgrid Solar Power Plant with Off-Grid System Marhatang, Marhatang; Yunus, A.M Shiddiq; Djalal, Muhammad Ruswandi; Alkautsar, Rifaldi; Caturindah, Winarty
INTEK: Jurnal Penelitian Vol 10 No 1 (2023): April 2023
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v10i1.4325

AC microgrid solar power plants can be used as an alternative to overcome the problem of unevenly distributed electricity demand in Indonesia. Prior to implementation, a model or prototype is required to test and provide insights about the solar power plant's functionality as an electric energy generator. The aim of this research was to develop a solar power plant for AC loads and assess the performance of AC Microgrid solar power plants using an Off-grid system. The test results lead to the conclusion that the efficiency of the AC Microgrid solar power plant with the Off-grid system is highly dependent on the intensity of solar radiation, whether it is high or low, striking the panel. The solar panel efficiency ranged from a maximum of 5.54% to a minimum of 4.16%, while the system efficiency varied between a maximum of 8.65% and a minimum of 7.95%.

Design of a-based smart meters to monitor electricity usage in the household sector using hybrid particle swarm optimization - neural network Yunus, Muhammad Yusuf; Marhatang, Marhatang; Pangkung, Andareas; Djalal, Muhammad Ruswandi
International Journal of Artificial Intelligence Research Vol 3, No 2 (2019): December 2019
Publisher : Universitas Dharma Wacana

The procedure is training and testing the nerves that will be made. Matlab software has a Neural Network tool, which in this study will be used. Load sampling data is used as input data for neural network training. As output / target load classification is used. Load classification method, which is 1 for TV load classification, 2 for fan load, 3 for iron load, 4 for water pump load, 5 for lamp load, 6 for dispenser load, and 7 for fan iron load combination. The total load is 6 single loads and 1 combination load. One load combination was chosen because, on the combination load characteristics after the fan has characteristics that are not the same as the others. Data sampling of the current of each load will be used as neural network training. Load data used is 30 samples or for 30 seconds, with every minute the data is taken. From the results of the training, it can be seen that the biggest training error is in the seventh data, namely the identification of the load on the classification of the fan-iron load. This is because the current pattern on the iron and fan with the iron or fan itself has almost the same characteristics. However, for this process networks will be used and then the PSO optimization method is used to reduce the error, in the next study. From the test results, it is shown that by varying the input current data of each load, the network has been able to identify well, even though in the data classification load 7, the load of the iron-fan combination still has a large error. This will be corrected in subsequent studies with Particle Swarm Optimization (PSO) algorithm optimization.

Rancang Bangun Modul Praktikum Penyearah Satu Fasa Terkendali Marhatang, Marhatang; Tandioga, Remigius; Ruswandi Djalal, Muhammad; Muh. Ilham, Andi; Dwia Ayanis, Rifa
Jurnal JEETech Vol. 3 No. 1 (2022): Nomor 1 May
Publisher : Universitas Darul Ulum

The Industrial Electronics Practicum is an advanced learning process complementing theoretical knowledge and is mandatory for every student in the Energy Conversion Engineering (TKE) Study Program at Ujung Pandang State Polytechnic (PNUP). Nevertheless, its implementation is often suboptimal due to the lack of practicum modules available in the TKE Laboratory. To address this issue, this research aims to design and create a practicum module for a controlled single-phase rectifier, filling the gap in the TKE Laboratory's offerings. The design carried out in this research begins with thyristor selection, control circuit design, mechanical design, and power circuit design. After the design is carried out, it continues with manufacturing and assembly, tool testing, and data analysis. In the practical module testing, this controlled single-phase rectifier uses half waves, with a resistive load (R). The test results of the module that has been created show that this practical module can operate well and produce an output waveform that can be said to be in accordance with theory.

Co-Authors A. M. Shiddiq Yunus A. Muh. Raihan Abdul Rahman Ahmad Yani Alkautsar, Rifaldi Andareas Pangkung Andareas Pangkung Andi Muh Farid Parenrengi Andreas Pangkung Apollo Apollo Aulia Ramadhana Buana, Chandra Caturindah, Winarty Chandra Bhuana Chandra Buana Citri Novianti Irlan Dwia Ayanis, Rifa Erniwati Erniwati Farid Parenrengi, Andi Muh Firman Firman Fitra Firdaus Herman Nauwir Herman Nawir Herman Nawir Herman Nawir, Herman Husnul Khatimah Irmawati Irmawati Irmawati Irmawati Klistafani, Yiyin Lewi Lewi Makmur Saini Maudini Maudini Muh Amar Syarifuddin Muh Yusuf Yunus Muh. Ilham, Andi Muhammad Ikram Fauzan Muhammad Ruswandi Djalal Muhammad Yusuf Yunus Muhammad Yusuf Yunus MULKI, ABDUL MALIKIL Musrady Mulyadi Novianty Paelongan Nur Hamzah Remigius Tandioga Sonong Tasrif AS Twenty Tri Rante Payung Ummul Fasiha Yiyin Klistafani Yusuf Yunus, Muhammad Zulfitrah Natsir

Title

Found 23 Documents
Search

Abstract

Abstract

Abstract

Title Search

Found 23 Documents Search

Abstract

Abstract

Abstract

Title

Found 23 Documents
Search