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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri JURNAL NASIONAL TEKNIK ELEKTRO Journal of Energy, Mechanical, Material and Manufacturing Engineering Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Zulfatri Aini
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Analisis Pengaruh Ketebalan dan Jenis Inti Besi Rotor dan Stator terhadap Karaktersitik Generator Sinkron Magnet Permanen 18S16P Fluks Radial Raditya Saputra; Zulfatri Aini
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 18, No 2 (2021): Juni 2021
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v18i2.12860

Abstract

People's energy needs are always increasing and electricity supply in Indonesia is still dominated by non-renewable energy sources, namely fossil fuels. The use of fossil fuels will be exhausted if exploited continuously. To overcome this problem is to utilize renewable energy sources. Besides being able to reduce the use of fossil fuels, renewable energy can reduce environmental impact. One form of renewable energy source is wind. Wind is able to drive a turbine and generate electricity from a generator. Permanent Magnet Synchronous Generator is a generator that consists of two main components is Rotor and Stator. PMSG is modeled using software with the Finite Element Method (FEM) method. Of course, to get higher characteristics, the generator must have the right material and geometry. This research varied the thickness and types of iron cores in the rotor and stator to be able to produce an output power value of 1000 watts / 1 kW. This current value is used to get the value; voltage, torque, input power, output power and efficiency. The variation of the thickness of the rotor and stator iron core is at 37 mm, 52 mm and 80 mm and for the type of iron core the materials used are M1000-100A and Carpenter: Silicon Steel. Carpenter iron core type: Silicon Steel. The biggest current and voltage are produced by Carpenter's core type: Silicon Steel with 80 mm thickness with a value of 17.44 A and 52.31 V.
Evaluasi Pengaruh Tekanan-Arus pada Kehilangan Fiber melalui NIRS DA1650 Tengku Reza Suka Alaqsa; Zulfatri Aini; Liliana
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 3: November 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n3.1233.2024

Abstract

This study focuses on enhancing the yield of crude palm oil (CPO) during the pressing process by thoroughly examining the oil losses that occur throughout production. The primary aim is to evaluate how different pressures and electric currents impact oil losses from palm fiber at a specific palm oil mill in Pantai Cermin, Kec. Tapung, Kampar, Riau. A systematic methodology was employed to achieve this, which involved detailed measurements conducted using the FOSS NIRS DA1650. This advanced technology allowed for precise assessment and quantification of oil losses during the pressing phase. Following the data collection, a rigorous statistical analysis was performed utilizing determination coefficients to interpret the relationship between the variables. The analysis results revealed a coefficient of determination (R²) of 49.96% concerning pressure, suggesting that nearly half of the variability in oil losses can be explained by fluctuations in pressing pressure. Additionally, the examination of current showed a higher coefficient of determination of 60.09%, underscoring a substantial influence of electric current on fiber oil losses. These findings highlight the critical importance of optimizing pressure and current in palm oil extraction. By making informed adjustments to these parameters, mill operators can significantly reduce oil losses, thus enhancing the overall extraction efficiency. The study provides practical recommendations for operators aiming to improve their processes, ultimately contributing to better resource utilization and increased profitability in the palm oil industry.
Steam requirements and mass balance in digesters and screw presses at palm oil mill Zulfatri Aini; Tengku, Tengku Reza Suka Alaqsa; Sri Basriati
Journal of Energy, Mechanical, Material, and Manufacturing Engineering Vol. 9 No. 2 (2024)
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jemmme.v9i2.37043

Abstract

Fresh Fruit Bunches (FFB) are the primary component in Crude Palm Oil (CPO) production. Palm oil mills face challenges in optimizing CPO yield, particularly in reducing oil losses during processing, which affects efficiency and profitability. The pressing station, including the digester and screw press, plays an important role in oil extraction. The digester uses steam to heat and soften the fruit for better oil release, while the screw press performs the mechanical extraction of oil. Insufficient steam can hinder oil separation, leading to increased losses. This research aimed to analyze steam requirements for the digester and evaluate the mass balance of the screw press. Using energy and mass balance methods, the optimal steam requirement was 359,870 kg/hour with a mass balance error of 6.58%. Corrective actions in steam valve settings reduced oil losses to 1.57%, which improved processing efficiency and product quality.
Forecasting Electricity Consumption in Riau Province Using the Artificial Neural Network (ANN) Feed Forward Backpropagation Algorithm for the 2024-2027 Tengku Reza Suka Alaqsa; Zulfatri Aini; Liliana; Nanda Putri Miefthawati
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 1 (2025): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/7eeq7029

Abstract

Electricity production in Riau Province fluctuates between surplus and deficit, as reported by the Central Statistics Agency. From a peak of 3,758.75 GWh in 2017, production fell to 525.19 GWh in 2019, mainly due to lack of investment in new power plants and dependence on external electricity supply. This study addresses these challenges by using the Artificial Neural Network (ANN) Feed Forward Backpropagation method to forecast electricity demand from 2024 to 2027. This study aims to analyze the accuracy of the prediction through the Mean Absolute Percentage Error (MAPE), evaluate electricity consumption projections, and calculate the annual growth rate. The gap in this study is the inclusion of previously ignored variables, namely the GRDP of Government Buildings and the number of Government Building customers. The methodology used is Artificial Neural Network Feed Forward Backpropagation. In the training data training, the MAPE was obtained at 4,315%. The electricity consumption prediction obtained is 8,679 GWh in 2024, 9,690 GWh in 2025, 10,959 GWh in 2026, and 12,681 GWh in 2027. The growth rate is also projected to increase, namely 5.67% from 2023 to 2024, 11.65% from 2024 to 2025, 13.10% from 2025 to 2026, and 15.71% from 2026 to 2027.
Co-Authors Liliana Nanda Putri Miefthawati Raditya Saputra Sri Basriati Tengku Reza Suka Alaqsa Tengku, Tengku Reza Suka Alaqsa