Article Per Year (5 Year)
p-Index From 2021 - 2026
1.513
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Vocatech : Vocational Education and Technology Journal TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Derma Pengabdian Dosen Perguruan Tinggi (Jurnal DEPUTI) Elektriese: Jurnal Sains dan Teknologi Elektro Jurnal Manajemen Rekayasa dan Inovasi Bisnis Journal of Telecommunication and Electrical Scientific
Rida, Rizkha
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
ANALYSIS OF FORECAST OF RENEWABLE ENERGY DEVELOPMENT IN NORTH SUMATRA USING ANFIS Nugraha, Yoga Tri; Simanjuntak, Puan Maharani; Irwanto, Muhammad; Rida, Rizkha; Othman, M.A.
Jurnal Media Elektro Vol 13 No 1 (2024): April 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i1.15310

Abstract

The transition towards renewable energy sources is critical for sustainable development, particularly in regions like North Sumatra, Indonesia, where energy demand is increasing rapidly. This research presents an analysis of the forecast of renewable energy development in North Sumatra using the ANFIS. The analysis begins with data collection and preprocessing, incorporating historical data on energy consumption, renewable energy installations, population growth, economic indicators, and environmental factors. ANFIS models are then developed and optimized to capture the complex relationships between these variables and forecast renewable energy trends accurately. Model validation and performance evaluation techniques ensure the reliability of the forecasted outcomes. The results of the calculations conducted using the ANFIS method obtained an error value of 0,000201092% and has a Forecast of Renewable Energy Development in North Sumatra in 2028 of 160.44 MW.
Co-Authors Ade Irawan Barus, Muhammad Nazrul Azhari Catra Indra Cahyadi Fadli, Rizki Fitri, Li Idi’il Harahap, Fitri Khoriah Indra Roza Irawan, Lutfi Irwanto, Muhammad Muhammad Fiza Lubis muhammad rizky, muhammad Nabila Yudisha Ningsih, Margie Subahagia Novalianda, Sari Othman, M.A. Othman, Mohd. Azlishah Putra, Muhammad Dwi Adi Refiza, Refiza Rony, Zahara Tussoleha Sholeha, Dewi Sikumbang, Raja Irhas Simanjuntak, Puan Maharani Siregar, Muhammad Fikri Zaelani Syahputra, Fajar Yoga Tri Nugraha