Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JOURNAL OF INFORMATICS AND COMPUTER SCIENCE
M. Irwanto
Universiti Malaysia Perlis
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PERFORMANCE OF WIRELESS POWER TRANSFER WITH VARIOUS RECEIVER POSITIONS BY Yusniati, Yusniati; Herman, A.; Fitra, M.; Fareq, M.; Irwanto, M.; Mahrizal, M.
JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Vol 1, No 1 (2015): April 2015
Publisher : Ubudiyah Indonesia University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33143/jics.Vol1.Iss1.27

Abstract

In this paper, we have study performance of wireless power transfer with various receiver positions are 00, 900, and 1800 developed transmitter, receiver  and 2 structure magnetic resonant couplings. Both of the Transmitter and Receiver couplings are made of enamel coil.  Based on experimental performance of wireless power transfer with various receiver positions by using inductive coupling no effect tilted at 00, 900, and 1800Keywords: Tilted, Power Transfer
Solar energy density estimation using ANFIS based on daily maximum and minimum temperature Irwanto, M.; Alam, H.; Masri, M.; Ismail, B.; Leow, W. Z.; Irwan, Y. M.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (850.165 KB) | DOI: 10.11591/ijpeds.v10.i4.pp2206-2213

Abstract

The data of solar energy density in one area is very important when the area will constructed photovoltaic (PV) system. The data is as preliminary study to decide what the area is suitable or not to be constructed the PV application system. But, sometime the available data is missing because the limitation of weather equipment.  An alternative technique for the available data of solar energy density should be done for the continuity of PV application system decision. An estimation technique of solar energy density is one part of good alternative to solve this problem. This paper presents the estimation of solar energy density using Adaptive Neuron Fuzzy Inference System (ANFIS). The ANFIS system has two input data of the measured daily minimum, maximum temperature and difference between maximum and minimum temperature. The measured solar energy density is as target data of ANFIS system. The data is recorded from Medan meteorological station through the web site of world weather online for the year of 2018. The result shows that the average estimated solar energy density is classified in the very high solar energy density and based on the percentage error shows that the estimated solar energy density is acceptable.
Co-Authors Alam, H. B. Ismail Herman, A. Irwan, Y. M. Leow, W. Z. M. Fareq M. Fitra Mahrizal, M. Masri, M. Yusniati Yusniati