cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sholihul Abidin
Contact Email
jurnal.eatij@gmail.com
Phone
+6289520091658
Journal Mail Official
jurnal.eatij@gmail.com
Editorial Address
Jln. Lintas Padang Painan KM 24, Batang Kapas, Sumatra Barat.
Location
Kota batam,
Kepulauan riau
INDONESIA
Engineering and Technology International Journal (EATIJ)
Published by Yayasan Cendikia Mulia Mandiri
ISSN : -     EISSN : 2714755X     DOI : 10.55642
Core Subject : Science, Agriculture, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Engineering And Technology International Journal is a scientific journal published by the Cendikia Mulia Mandiri Foundation for the development of publications for researchers in the field of Engineering and Technology in Indonesia and as a means of publishing research results and sharing the development of engineering science and technology. which have never been published before in the form of research or applied research articles articles related to technological developments and management used in the industrial world.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 152 Documents
 12   13   14   15   16 
Hybrid PV-Diesel-Battery System Performance in Tropical Malaysia: A Simulation Study
Engineering and Technology International Journal Vol 8 No 01 (2026): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55642/eatij.v8i01.1262

Abstract

Hybrid renewable energy systems (HRES) combining photovoltaic (PV) modules, diesel generators, and battery storage represent a compelling solution for distributed electrification in tropical regions. The equatorial climate of Peninsular Malaysia—characterised by high humidity (RH ≥ 78%), temperatures above 27°C, and pronounced cloud-induced irradiance transients—imposes performance penalties that remain insufficiently quantified. This study presents a comprehensive techno-economic simulation analysis of a 250-kWp hybrid PV-diesel-battery system modelled for Muadzam Shah, Pahang, Malaysia (3.07° N, 103.08° E) using HOMER Pro v3.16.2. Simulation outputs were validated against published Malaysian PV benchmarks. Results showed a mean simulated PR of 0.748 (±0.018), system efficiency of 13.9%, and LCOE of MYR 0.42/kWh, representing a 31.5% cost reduction over a diesel-only baseline. The mean REF reached 65.8%. Thermal derating due to elevated cell temperatures (T_cell = 56–70°C) was responsible for a 9.8% power output reduction. A Malaysian-specific humidity correction model is proposed, reducing cell temperature prediction error by 51.2% relative to the standard NOCT model.
Analisis Efisiensi Distribusi Last Mile Delivery Berbasis Genetic Algorithm pada E-Commerce Setyabudhi, Albertus Laurensius
Engineering and Technology International Journal Vol 8 No 01 (2026): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55642/eatij.v8i01.1264

Abstract

Penelitian ini mengkaji penerapan Algoritma Genetika (Genetic Algorithm/GA) untuk mengoptimalkan distribusi last mile delivery pada platform e-commerce di Batam, Indonesia. Last mile delivery mencakup 41–53% dari total biaya logistik, menjadikannya komponen kritis dalam rantai pasok. Penelitian menggunakan kerangka Vehicle Routing Problem with Time Windows (VRPTW) dengan data empiris dari 847 titik pengiriman yang dikumpulkan selama enam bulan dari tiga perusahaan e-commerce lokal. GA diimplementasikan dengan operator tournament selection, Order Crossover (OX) (pᶜ=0,85), inversion mutation (pₘ=0,02), dan elitisme 10% pada populasi N=150, generasi T=500. Hasil menunjukkan GA mereduksi total jarak 23,7% (847,3 km → 647,1 km/hari), mengurangi kendaraan aktif 18,4%, meningkatkan on-time delivery dari 78,3% menjadi 93,8%, dan menghemat biaya Rp2.340.000/hari. GA unggul 9,2% atas Clarke-Wright Savings Algorithm dalam total jarak (Wilcoxon p=0,0023, r=0,52). Konvergensi rata-rata dicapai pada generasi ke-312 dengan nilai fitness 0,8734. Temuan ini mengkonfirmasi GA sebagai metaheuristik efektif untuk VRPTW pada konteks kepulauan Indonesia.

Page 16 of 16 | Total Record : 152

 12   13   14   15   16 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol 8 No 01 (2026): Engineering and Technology International Journal (EATIJ) Vol 7 No 03 (2025): Engineering and Technology International Journal (EATIJ) Vol 7 No 02 (2025): Engineering and Technology International Journal (EATIJ) Vol 7 No 01 (2025): Engineering and Technology International Journal (EATIJ) Vol 6 No 03 (2024): Engineering and Technology International Journal (EATIJ) Vol 6 No 02 (2024): Engineering and Technology International Journal (EATIJ) Vol 6 No 01 (2024): Engineering and Technology International Journal (EATIJ) Vol 5 No 03 (2023): Engineering and Technology International Journal (EATIJ) Vol 5 No 02 (2023): Engineering and Technology International Journal (EATIJ) Vol 5 No 01 (2023): Engineering and Technology International Journal (EATIJ) Vol 4 No 03 (2022): Engineering and Technology International Journal (EATIJ) Vol 4 No 02 (2022): Engineering and Technology International Journal (EATIJ) Vol 4 No 01 (2022): Engineering and Technology International Journal (EATIJ) Vol 3 No 03 (2021): Engineering and Technology International Journal (EATIJ) Vol 3 No 02 (2021): Engineering and Technology International Journal (EATIJ) Vol 3 No 01 (2021): Engineering and Technology International Journal (EATIJ) Vol 2 No 03 (2020): Engineering and Technology International Journal (EATIJ) Vol 2 No 02 (2020): Engineering and Technology International Journal (EATIJ) Vol 2 No 01 (2020): Engineering and Technology International Journal (EATIJ) Vol 1 No 01 (2019): Engineering and Technology International Journal (EATIJ) More Issue