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All Journal JURNAL NASIONAL TEKNIK ELEKTRO Djtechno: Jurnal Teknologi Informasi
Elsi Alfionita Syawal
Andalas University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Optimization of the Hybrid System for Micro Hydro, Photovoltaic and Biomass Power Generation in Senamat Ulu Village Using Homer Simulation Syawal, Elsi Alfionita; Nazir, Refdinal
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 2: July 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v10n2.889.2021

Abstract

Currently, the supply of electrical energy is still not fulfilled in some areas due to the depletion of conventional energy sources and fossil energy. The ideal alternative energy is renewable energy that does not have the potential to run out such as solar energy, biomass and water. Senamat Ulu is a village in Bungo Regency that has the potential for biomass power generation because it has a lot of palm oil plantations covering an area of 3,917 hectares with an average production of 6,901 tons per year. Based on the coordinates of the center of the village, simulation Homer scored solar radiation of 4.43 kWh / m2/ day for Ulu Senamat area. The purpose of this research is to obtain the amount of biomass energy potential and the optimal model for the hybrid system of power generation in Senamat Ulu Village. From the results of the study, it was found that the potential for electrical power from the biomass power plant in Senamat Ulu was 6,113.65 kW consisting of 2,189.08 kW shells and 3,924.57 kW palm fiber. The most optimal generator model is simulation I in terms of the smallest NPC and COE economies, namely NPC $ 275,091 and COE $ 0.0768/kWh where Biomass is 49,946 kWh/year at a cost of $ 0.0271/kWh, PV 26,681 kWh/year with electricity price of $ 0.107/kWh, Micro hydro 156.025 kWh/year with electricity price of $ 0.00992/kWh, Storage Li-ion 8,643 kWh/year and converter 288,331 kWh/year and the time required to payback is 5.8 years.Keywords: Optimization, NPC, COE 
Optimization of the Hybrid System for Micro Hydro, Photovoltaic and Biomass Power Generation in Senamat Ulu Village Using Homer Simulation Elsi Alfionita Syawal; Refdinal Nazir
JURNAL NASIONAL TEKNIK ELEKTRO Vol 10, No 2: July 2021
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.484 KB) | DOI: 10.25077/jnte.v10n2.889.2021

Abstract

Currently, the supply of electrical energy is still not fulfilled in some areas due to the depletion of conventional energy sources and fossil energy. The ideal alternative energy is renewable energy that does not have the potential to run out such as solar energy, biomass and water. Senamat Ulu is a village in Bungo Regency that has the potential for biomass power generation because it has a lot of palm oil plantations covering an area of 3,917 hectares with an average production of 6,901 tons per year. Based on the coordinates of the center of the village, simulation Homer scored solar radiation of 4.43 kWh / m2/ day for Ulu Senamat area. The purpose of this research is to obtain the amount of biomass energy potential and the optimal model for the hybrid system of power generation in Senamat Ulu Village. From the results of the study, it was found that the potential for electrical power from the biomass power plant in Senamat Ulu was 6,113.65 kW consisting of 2,189.08 kW shells and 3,924.57 kW palm fiber. The most optimal generator model is simulation I in terms of the smallest NPC and COE economies, namely NPC $ 275,091 and COE $ 0.0768/kWh where Biomass is 49,946 kWh/year at a cost of $ 0.0271/kWh, PV 26,681 kWh/year with electricity price of $ 0.107/kWh, Micro hydro 156.025 kWh/year with electricity price of $ 0.00992/kWh, Storage Li-ion 8,643 kWh/year and converter 288,331 kWh/year and the time required to payback is 5.8 years.Keywords: Optimization, NPC, COE 
PENERAPAN ALGORITMA K-MEANS UNTUK KLASTERISASI POLA IKLIM STUDI KASUS: PROVINSI JAMBI PERIODE 2020-2024 Anzari, Yandi; Puriza, M. Yonggi; Akbar, Niko; Abdillah, Nurul; Dahwanu, Oki; Syawal, Elsi Alfionita
Djtechno: Jurnal Teknologi Informasi Vol 6, No 3 (2025): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i3.7994

Abstract

Penelitian ini menerapkan algoritma K‑Means untuk mengidentifikasi pola iklim dominan di Provinsi Jambi pada periode Januari 2020 sampai Desember 2024. Dataset bulanan berjumlah 60 observasi yang memuat enam variabel meteorologi: curah hujan, suhu rata‑rata, suhu maksimum, suhu minimum, kecepatan angin, dan kelembaban relatif. Data diagregasi dari data harian menjadi bulanan dan dipra‑proses dengan standardisasi Z‑Score untuk mengatasi heterogenitas skala antar fitur. Penentuan jumlah klaster optimal dilakukan secara kuantitatif menggunakan Elbow Method berdasarkan nilai inersia, yang menunjukkan titik belok pada k=3. Model K‑Means diinisialisasi secara acak dan dijalankan dengan beberapa pengulangan untuk menilai stabilitas hasil; keluaran divisualisasikan dalam proyeksi 2D dan 3D untuk memudahkan interpretasi spasial. Analisis centroid mengidentifikasi tiga rezim iklim: rezim kering/transisi (curah hujan rendah dan suhu relatif tinggi), rezim monsonal normal (curah hujan menengah‑tinggi dan kelembaban tinggi), serta rezim basah ekstrem (curah hujan sangat tinggi dan kelembaban tinggi). Hasil ini menyediakan tipologi iklim berbasis data yang relevan untuk perencanaan pertanian, mitigasi bencana hidrometeorologi, dan kebijakan adaptasi iklim di tingkat provinsi.
Co-Authors M. Yonggi Puriza Niko Akbar Nurul Abdillah Oki Dahwanu Refdinal Nazir Yandi Anzari