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All Journal JURNAL NASIONAL TEKNIK ELEKTRO Journal of Applied Electrical Engineering Djtechno: Jurnal Teknologi Informasi Jurnal Andalas: Rekayasa dan Penerapan Teknologi
Elsi Alfionita Syawal
Andalas University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Other

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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 
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.
Development and Performance Evaluation of a Real-Time Environmental Monitoring System Using ESP32, MQTT, Node-RED, and MySQL Database MICKO TOMAS; Refki Budiman; Baharuddin; Riko Nofendra; Hanalde Andre; Elsi Alfionita
Jurnal Andalas: Rekayasa dan Penerapan Teknologi Vol. 6 No. 1 (2026): Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jarpet.v6i1.143

Abstract

Real-time environmental monitoring is an important requirement for managing facilities, laboratories, server rooms, and work environments that require temperature and humidity control. This study aims to develop and evaluate the performance of an Internet of Things (IoT)-based environmental monitoring system using ESP32 microcontrollers, DHT11 sensors, the Message Queuing Telemetry Transport (MQTT) protocol, Node-RED, and a MySQL database. The system is designed to acquire temperature and humidity data, transmit data via Wi-Fi using MQTT, display real-time measurement results on the Node-RED dashboard, and store historical data into a MySQL database. Testing was carried out with a data transmission interval of every 5 seconds using MQTT QoS 0. The test results showed that the system was capable of continuous monitoring, with a measured temperature range of 27.1–28.5 °C and a relative humidity range of 44–51% RH. Sensor data was successfully transmitted, visualized, and stored in real-time without any loss of observed data during the test period. The Node-RED dashboard can display information as gauges, trend graphs, and historical tables, facilitating the monitoring and analysis of environmental data. The integration of ESP32, MQTT, Node-RED, and MySQL produces a stable, low-cost, easy-to-develop monitoring system with potential for implementation in various IoT-based environmental monitoring applications. The results of the study indicate that the proposed architecture can provide a reliable environmental monitoring solution and support real-time, data-driven decision-making.
Design and Performance Evaluation of an IoT-Enabled Feed Level Alert System for Smart Fish Feeders Micko Tomas; Baharuddin Baharuddin; Illa Aryeni; Elsi Alfionita Syawal; Muhammad Kodrat
Journal of Applied Electrical Engineering Vol. 10 No. 1 (2026): JAEE, June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v10i1.11692

Abstract

The Feed Level Alert system on the Smart Fish Feeder was designed to monitor fish feed availability in real-time using an Internet of Things approach. Unlike previous research that focused solely on passive monitoring, this system presents a practical implementation equipped with automatic notifications when the fish feed level status reaches a set threshold. The HC-SR04 ultrasonic sensor is used to measure the distance between the tank lid and the feed surface, while the DHT-11 sensor monitors temperature and humidity to maintain feed quality. The ESP32 microcontroller is responsible for processing data and sending alert notifications via Telegram Bot with an average response time of 1,8 seconds. Test calibration results show a detection accuracy of 96,4% and a system reliability of 99,3%. The portable prototype design allows installation without significant mechanical modifications. With its integrative capabilities, this system shows high potential as an efficient, adaptive, and sustainable innovative aquaculture.
Potential Utilization of Palm Shells and Fibers as an Electricity Source in Bungo Regency Elsi Alfionita Syawal; Ferdi Ashari Syawal; Illa Aryeni
Journal of Applied Electrical Engineering Vol. 10 No. 1 (2026): JAEE, June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v10i1.11775

Abstract

Indonesia faces an electricity crisis due to increasing demand and heavy reliance on fossil fuels. This study examines the potential of palm oil biomass waste—shells and fibers—as fuel for a steam power plant in Bungo Regency. The methodology applies the Direct Method (Equation 1) to estimate electricity potential based on a validated boiler efficiency of 73% and actual calorific values. The results reveal that palm shells have a potential of 21,024 GWh/year, while fibers can generate 49,056 GWh/year. A key novelty of this research is the determination of specific fuel requirements: 2,3 kg/kw of shells and 2,6 kg/kw of fibers are needed to produce 1 kW of electricity. These findings provide precise empirical data for regional energy planning and demonstrate that integrating palm biomass into local grids offers a sustainable alternative to fossil fuels.
Co-Authors Baharuddin Baharuddin Baharuddin Ferdi Ashari Syawal Hanalde Andre Illa Aryeni Illa Aryeni M. Yonggi Puriza Micko Tomas Muhammad Kodrat Niko Akbar Nurul Abdillah Oki Dahwanu Refdinal Nazir Refki Budiman Riko Nofendra Yandi Anzari