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Pengaruh Airfoil dan Jumlah Sudu pada Perancangan Vertikal Axis Wind Turbine (VAWT) untuk Kecepatan Angin Rendah Sholichan, Sholichan; Uyun, Aep Saepul; Novianto, Bangun; Fitriani, Fitriani; Ibrahim, Riki Firmandha; Sugiyanto, Didik
JURNAL KAJIAN TEKNIK MESIN Vol 8, No 1 (2023): Jurnal Kajian Teknik Mesin
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/jktm.v8i1.6681

Abstract

AbstrakSelain potensi angin karena bentuk geografisnya, Indonesia juga memiliki potensi angin yang dapat dimanfaatkan dari  pergerakan arus lalu lintas di jalan raya atau jalan tol. Pergerakan kendaraan  berkecepatan tinggi di jalan raya menghasilkan angin lokal, yang  dapat digunakan untuk menghasilkan energi listrik. Angin lokal ini memiliki variabilitas yang lebih kecil, terutama jika lalu lintas  jalan raya  konstan. Tujuan utama dari penelitian ini adalah untuk mendesain Vertical Axis Wind Turbine yang dapat bekerja pada kecepatan angin rendah. Pada pendekatan teoritis, software Qblade digunakan  untuk menganalisa beberapa jenis Airfoil yaitu NACA 0012, NACA 0013, NACA 0014, NACA 0015, NACA 0016 dengan variasi sudu 2, 3 dan 4 angka pada masing-masing konfigurasi aerodinamis. Koefisien performa turbin angin sumbu vertikal yang optimal dapat diperoleh pada simulasi turbin yang menggunakan airfoil NACA 0016 sebesar 1,33 dengan konfigurasi jumlah sudu adalah empat buah pada TSR 3,5 sehingga diperoleh daya sebesar 87,78 watt pada kecepatan angin 5 m/s dan kecepatan putar 300 rpm. Kata kunci: VAWT, Darrieus, Qblade  AbstractApart from wind potential due to its geographical shape, Indonesia also has wind potential which can be exploited from the movement of traffic flow on highways or toll roads. The movement of high-speed vehicles on the highway generates local wind, which can be used to generate electrical energy. These local winds have less variability, especially if road traffic is constant. The main objective of this research is to design a vertical axis wind turbines to operate in low wind speed. In the theoretical approach, Qblade software is used to analyze several types of airfoils, namely NACA 0012, NACA 0013, NACA 0014, NACA 0015, NACA 0016 with 2, 3 and 4 number blade variations on each aerodynamic configuration. The optimal vertical axis wind turbine performance coefficient can be obtained in a turbine simulation that uses a NACA 0016 airfoil of 1.33 with a configuration of four blades at a TSR of 3.5 so that a power of 87.78 watts is obtained at a wind speed of 5 m/s and rotating speed 300rpm. Keywords: VAWT, Darrieus, Qblade  
Empowerment of Lobster Farmers Based on Renewable Energy in Supporting the Blue Economy in Sawarna Village, Banten Province Reztrianti, Diajeng; Rahmawantari, Dhistianti Mei; Uyun, Aep Saepul; Hidayat, Irfan; Pratama, Muhammad Daffa; Antasti, Erico
Unram Journal of Community Service Vol. 5 No. 4 (2024): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i4.777

Abstract

This Community Partnership Program (PKM) was implemented to support the empowerment of a group of lobster farmers in Sawarna Village, who face various challenges in managing their farming business. The problems faced by lobster farmer groups in the village are lack of access to stable energy and limited management knowledge, which has an impact on the sustainability of the lobster farming business. The purpose of this service is to improve the knowledge and skills of lobster farmers in business management and adopt renewable energy technology as a solution to limited energy access. The method used in this activity is the Participatory Rural Appraisal approach, which involves farmers actively through socialisation, training, technology application, mentoring, and continuous program evaluation. The results of this service showed an increase in the ability of partners in business management, digital marketing, and the application of renewable energy technology in the form of solar power systems to support cultivation operations. In addition, there was a significant improvement in the quality of management after the training, with participants showing improved financial, marketing, and operational management. The conclusion of this activity is that the application of renewable energy technology and improved management capacity through training and mentoring can successfully support the sustainability of the lobster farming business in Sawarna Village, thus helping farmers to face the environmental and economic challenges faced in the long term.
Empowerment of Lobster Farmers Based on Renewable Energy to Support Blue Economy in Sawarna Village, Banten Province Reztrianti, Diajeng; Rahmawantari, Dhistianti Mei; Uyun, Aep Saepul; Hidayat, Irfan; Pratama, Muhammad Daffa; Antasti, Erico
Unram Journal of Community Service Vol. 6 No. 1 (2025): March
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i1.784

Abstract

This Community Partnership Programme (PKM) was implemented to support the empowerment of a group of lobster farmers in Sawarna Village, who face various challenges in managing their farming business. The problems faced by lobster farmer groups in the village are lack of access to stable energy and limited management knowledge, which has an impact on the sustainability of the lobster farming business. The purpose of this service is to improve the knowledge and skills of lobster farmers in business management and adopt renewable energy technology as a solution to limited energy access. The method used in this activity is the Participatory Rural Appraisal approach, which involves farmers actively through socialisation, training, technology application, mentoring, and continuous program evaluation. The results of this service showed an increase in the ability of partners in business management, digital marketing, and the application of renewable energy technology in the form of solar power systems to support cultivation operations. In addition, there was a significant improvement in the quality of management after the training, with participants showing improved financial, marketing, and operational management. The conclusion of this activity is that the application of renewable energy technology and improved management capacity through training and mentoring can successfully support the sustainability of the lobster farming business in Sawarna Village, thus helping farmers to face environmental and economic challenges faced in the long term.
Comprehensive Review of Strengths and Weaknesses of Solar-Biomass Hybrid Power Systems: A Systematic Literature Approach Setiabudi, Fitri; Nur, Muhammad Syukri; Uyun, Aep Saepul; Lasman, As Natio
Jurnal Ilmiah Giga Vol. 28 No. 1 (2025): Volume 28 Edisi 1 Tahun 2025
Publisher : Universitas Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47313/jig.v28i1.4195

Abstract

Solar-biomass hybrid power systems (SBHPS) offer a promising solution to global energy and climate challenges by integrating two complementary renewable sources. This study presents a systematic literature review (SLR) based on 543 articles retrieved from Scopus and Web of Science (2014 to 2024), with 76 full texts screened, 26 meeting the inclusion criteria, and 18 scoring ≥4/5 in quality based on CASP and MMAT frameworks. The analysis identifies key advantages of SBHPS, including improved energy efficiency, supply reliability, greenhouse gas emission reduction, and local resource utilization. Conversely, barriers include high capital costs, resource dependency, technical complexity, and policy constraints. The novelty of this review lies in its integrated, multi dimensional synthesis across technical, economic, environmental, and social aspects, filling a gap left by earlier SBHPS reviews. The findings offer practical insights for energy planners, technology developers, and policymakers aiming to implement sustainable and regionally adapted hybrid systems
STRATEGI PEMANFAATAN KECERDASAN BUATAN UNTUK KAJIAN ENERGI TERBARUKAN: TINJAUAN PUSTAKA BIBLIOMETRIK-SISTEMATIKA (B-SLR) Ardhianto, Irlanda; Nur, Muhammad Syukri; Uyun, Eng Aep Saepul; Tirta, Andy
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6191

Abstract

Penelitian ini dilatarbelakangi oleh kebutuhan untuk mengoptimalkan pemanfaatan kecerdasan buatan dalam kajian energi terbarukan, yang menjadi salah satu solusi strategis dalam menghadapi tantangan krisis energi dan perubahan iklim global. Fokus penelitian ini adalah mengidentifikasi dan menganalisis strategi pemanfaatan AI yang efektif dalam mendukung pengembangan dan implementasi teknologi energi terbarukan melalui pendekatan tinjauan pustaka bibliometrik-sistematika (B-SLR). Metode penelitian yang digunakan adalah studi literatur dengan pendekatan bibliometrik dan sistematik review, yang melibatkan pengumpulan dan analisis data dari berbagai publikasi ilmiah terkait AI dan energi terbarukan secara kuantitatif dan kualitatif dengan data dari 346 Publikasi telah diambil. Hasil penelitian menunjukkan bahwa India dan Cina adalah negara mendominasi aktivitas penelitian di Asia dan secara global, menunjukkan peran sentral Asia dalam produksi ilmiah saat ini. Studi ini mengungkapkan, AI memiliki peran signifikan dalam berbagai aspek energi terbarukan, seperti prediksi produksi energi, optimasi sistem, dan pengelolaan sumber daya, dengan tren penelitian yang terus berkembang dan berfokus pada integrasi teknologi canggih. Simpulan dari penelitian ini menegaskan bahwa strategi pemanfaatan AI yang terstruktur dan berbasis bukti dapat mempercepat inovasi dan efisiensi dalam sektor energi terbarukan, memberikan kontribusi akademik berupa kerangka konseptual yang komprehensif serta implikasi praktis bagi pengambil kebijakan dan pelaku industri dalam mengadopsi teknologi AI secara optimal