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Hasibuan ST.MT, Fardin
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Aerospace Engineering Automotive Engineering Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Other

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Analysis of Wind Energy Potential and Technical Evaluation of a Small-Scale Wind Turbine for Electricity Generation in Batam, Indonesia Hasibuan ST.MT, Fardin; syaputra, Muhammad Lyan; irsyam, Muhammad; faturahman, noval; kuniawan, Muhammad iman
METALOGRAM Metalogram Vol.02 No.01 (December,2025)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/mtlg.v2i1.8692

Abstract

Wind energy represents one of Indonesia’s most promising renewable energy resources, with a national potential estimated at approximately 60 GW. However, its implementation remains limited due to insufficient site-specific assessments and feasibility studies. This research analyzes the wind energy potential at Galang District Beach, Batam City, and evaluates the technical suitability of the Sky Dancer 500 (TSD 500) wind turbine equipped with inversed-taper blades for small-scale electricity generation. A descriptive quantitative method was employed using secondary wind speed data from NASA (2014–2018) and primary measurements collected continuously for 30 days. Results show that Galang District Beach, Batam City exhibits average wind speeds ranging from 4 to 13.41 m/s, with a maximum recorded speed of 13.41 m/s. Based on technical analysis, low-speed wind characteristics align well with the operational profile of a horizontal-axis wind turbine utilizing inversed-taper blades. Estimations indicate that the TSD 500 turbine can generate 390–500 Wh of electricity per day under the observed wind conditions. These findings demonstrate that the site possesses adequate potential for micro-scale wind power development, and deploying ten units of the TSD 500 turbine could supply daily electrical needs for approximately ten households. The study contributes to the growing body of literature on decentralized renewable energy solutions for remote and coastal communities in Indonesia..
PENERAPAN ALAT OTOMATIS PENDETEKSI DAN PENGUSIR MONYET UNTUK MENINGKATKAN PRODUKSI PERTANIAN DI AREAL PERTANIAN REMPANG CATE BATAM Hasibuan ST.MT, Fardin; Irsyam, Muhammad; Wijaya, Toni Kusuma; Sianipar, Stiven Ewin; ardiansyah, Edo; Ratuloli, Jumiati; Parendi, Yoga
MINDA BAHARU Vol 9, No 2 (2025): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v9i2.8342

Abstract

Alat pendeteksi dan pengusir monyet otomatis berbasis Convolutional Neural Network (CNN) dengan mikrokontroler Raspberry Pi dikembangkan untuk mengatasi permasalahan hama monyet yang kerap merusak tanaman di perkebunan kelompok Tani Tunas Baru. Sistem ini menggunakan kamera webcam untuk mendeteksi keberadaan monyet dalam radius hingga 35 meter dan menghasilkan suara tembakan yang terdengar hingga 250 meter guna mengusir hama secara otomatis. Energi listrik untuk alat ini diperoleh dari panel surya karena areal pertanian tersebut belum terjangkau oleh jaringan listrik. Implementasi alat menunjukkan hasil yang signifikan, yaitu penurunan kerusakan tanaman dari rata-rata sembilan pohon menjadi hanya tiga pohon per serangan monyet, atau setara dengan penurunan sebesar 67%. Teknologi ini menjadi solusi yang lebih efektif dan efisien dibandingkan metode manual yang membutuhkan penjagaan secara terus-menerus. Proyek ini mengusung inovasi modern yang relevan dengan kebutuhan lokal, dengan mengintegrasikan sumber energi terbarukan dan teknologi deteksi berbasis citra. Selain itu, sistem ini berpotensi untuk direplikasi di wilayah lain yang menghadapi permasalahan serupa, guna mendukung ketahanan pangan dan meningkatkan kesejahteraan masyarakat pedesaan melalui solusi yang inovatif dan berkelanjutan.
Co-Authors ardiansyah, Edo faturahman, noval kuniawan, Muhammad iman Muhammad Irsyam, Muhammad Parendi, Yoga Ratuloli, Jumiati Sianipar, Stiven Ewin Syaputra, Muhammad Lyan Toni Kusuma Wijaya, Toni Kusuma