Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Environmental Engineering and Sustainable Technology Indonesian Journal of Electrical Engineering and Computer Science
Yusuf Priyo Anggodo
Brawijaya University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Environmental Science Mechanical Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Environmental Engineering and Sustainable Technology

 1 
AUTOMATIC CLUSTERING AND OPTIMIZED FUZZY LOGICAL RELATIONSHIPS FOR MINIMUM LIVING NEEDS FORECASTING Yusuf Priyo Anggodo; Wayan Firdaus Mahmudy
Journal of Environmental Engineering and Sustainable Technology Vol 4, No 1 (2017)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (777.074 KB) | DOI: 10.21776/ub.jeest.2017.004.01.1

Abstract

Forecasting of minimum living needs is useful for companies in financial planning next year. In this study, the firescasting is done using automatic clustering and optimized fuzzy logical relationships. Automatic clustering is used to form a sub-interval time series data. Particle swarm optimization is used to set and optimze interval values in fuzzy logical relationships. The data used as many as 11 years of historical data from 2005-2015. The optimal value of the test results obtained by the p = 4, the number of iterations = 100, the number of particles = 45, a combination of Vmin and Vmax = [-0.6, 0.6], as well as combinations Wmax and Wmin = [0, 4, 0 , 8]. These parameters values produce good forecasting results.Keywords: minimum living needs, automatic clustering, particle swarm optimization, fuzzy logical relationships
Co-Authors Adyan Nur Alfiyatin Amalia Kartika Ariyani Imam Cholissodin Wayan Firdaus Mahmudy