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All Journal Indonesian Journal of Geography Komunikasi Fisika Indonesia Sinergi Journal of Applied Geospatial Information JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY MAJALAH ILMIAH GLOBE Jurnal Geografi, Edukasi dan Lingkungan Media Mahardhika Jurnal Kreativitas PKM International Journal of Remote Sensing and Earth Sciences (IJReSES) Indonesian Physical Review DIFFRACTION: Journal for Physics Education and Applied Physics Jurnal Teras Fisika : Teori, Modeling, dan Aplikasi Fisika Jurnal Penelitian Fisika dan Terapannya (JUPITER) Journal of Computer Science and Engineering (JCSE) Jurnal Ilmiah Matematika Mitra Akademia: Jurnal Pengabdian Masyarakat Indexia Jurnal Energi Baru dan Terbarukan Jurnal Aplikasi Bisnis Kesatuan GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Jurnal Kolaboratif Sains Jurnal Riset Statistika Newton-Maxwell Journal of Physics Jagratara: Journal of Disaster Research The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Yahya Darmawan
Indonesian Agency For Meteorological, Climatological And Geophys-ics (BMKG) Region I
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Study of Wind Energy Potential for Wind Power Plants Development in the South Coastal Area of Malang Regency Yahya Darmawan
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 9 No. 2 (2025): December 2025 Edition
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v9i2.15344

Abstract

One of the renewable energy sources that has the potential to be developed in Indonesia is wind energy sources, Indonesia has wind energy sources that can be converted to produce up to 60.68 GW of electricity. One of the potential areas to be developed is the southern region of Java Island and wind speed analysis using the wind weilbull approach. wind speed data is taken from Nasa Power satellite data with a wind height of 50 meters with a time span of January 1, 2022 to December 31, 2022. From the calculation of wind speed, it is found that in the coastal area of South Malang the average speed is 4.92 m/s, with the highest speed of 11.18 m/s. From the analysis using the wind weilbull approach, it is found that the South Coast of Malang has a variation in wind speed between 1-12 m / s where the highest speed occurs in the wind speed range of 6 m / s occurs as much as 18.976%, and the occurrence in 1 year occurs for 1547 hours and the electrical energy produced in a year is 413,520,696 watts. By using q-blade simulation with a turbine diameter of 7.8 m, NACA 4412 airfoil type and TSR value of 5.5, the wind turbine capacity is 5.93661 kW with a CP value of 0.4392. Key words: Renewable energy, maximum average wind speed, electrical energy, wind turbine
Edukasi Partisipatif Peringatan Dini dan Mitigasi Bencana Hidrometeorologi di Kecamatan Pesanggrahan Darmawan, Yahya; Karyono, Karyono; Wandono, Wandono; Benyamin Heryanto Rusanto; Agung Perdian Sulistio
Mitra Akademia: Jurnal Pengabdian Masyarakat Vol 8 No 3 (2025): Mitra Akademia: Jurnal Pengabdian Masyarakat
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Jakarta

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Abstract

Indonesia, as an archipelagic country with a high risk of geo-hydrometeorological disasters, requires early education to build awareness and preparedness. This study aims to improve students’ understanding of early warning systems and disaster mitigation through participatory learning. The Community Service Program (PKM) was carried out at SMA Triguna 1956, Pesanggrahan District, South Jakarta, on July 24, 2025. The stages included site survey, material preparation, socialization through Focus Group Discussion (FGD), disaster response simulation, and evaluation using pre-test and post-test combined with digital media. A quasi-experimental method with a pre-test and post-test design was applied. The results showed a significant increase in students’ understanding of early warning procedures and mitigation measures. Thus, participatory education proved effective in strengthening youth preparedness against geo-hydro meteorological disasters.
COMPARISON OF THE VEGETATION INDICES TO DETECT THE TROPICAL RAIN FOREST CHANGES USING BREAKS FOR ADDITIVE SEASONAL AND TREND (BFAST) MODEL Yahya Darmawan; Parwati Sofan
International Journal of Remote Sensing and Earth Sciences Vol. 9 No. 1 (2012)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2012.v9.a1823

Abstract

Remotely sensed vegetation indices (VI) such as the Normalized Difference Vegetation Index (NDVI) are increasingly used as a proxy indicator of the state and condition of the land cover/vegetation, including forest. However, the Enhanced Vegetation Index (EVI) on the outcome of forest change detection has not been widely investigated. We compared the influence of using EVI and NDVI on the number and time of detected changes by applying Breaks for Additive Seasonal and Trend (BFAST), a change detection algorithm. We used MODIS 16-day NDVI and EVI composite images (April 2000-April 2012) of three pixels (pixels 352, 378, and 380) in the tropical peat swamp forest area around the flux tower of Palangka Raya, Central Kalimantan. The results of BFAST method were compared to the Normalized Difference Fraction Index (NDFI) maps and the maps were validated by the hotspot of the Infrastructure and Operational MODIS-Based Near Real-Time Fire(INDOFIRE). Overall, the number and time of changes detected in the three pixels differed with both time series data because of the data quality due to the cloud cover. Nonetheless, we found that EVI is more sensitive than NDVI for detecting abrupt changes such as the forest fires of August 2009-October 2009 that occurred in our study area and it was verified by the NDFI and the hotspot data. Our results demonstrated that the EVI for forest monitoring in the tropical peat swamp forest area which is covered by intense cloud cover is better than that NDVI. Nonetheless, further research with improving spatial resolution of satellite images for application of NDFI is highly recommended.
Co-Authors Afriyanti Agung Perdian Sulistio Akbar, Ahmad Aldizar Al Badri, Abdul Aziz Amanu, Rendy Syahril Amri, Sayful Anggraini, Eca Indah Aplena Elen S. Bless Ardhana, Andini Aprilia Arief Wibowo Arief, Syachrul Arifianto, Fendy Arkananta, Muhammad Zaky Armadyaputri, Aludra Nadia Bambang Giyanto Benyamin Heryanto Rusanto Carundyatama, Daniar Ihza Dahsan, Sudarti Deni Septiadi Dhaifullah Rafif Aslam Erna Frida Fadhli Aslama Afghani Fadllillah, Ahmad Arif Zulfan Ferdiansyah, Ervan Ferdiyansyah, Ervan Franchitika, Rizky Giananti, Attiya Shakila Habibi, Naufal Ilham Hayatul Khairul Rahmat Hibatullah, Khindi Aufa Ikhsanudin, Agus Haryanto Imawan Mashuri Karyono Karyono Kusumayanti, Diah Lumbantoruan, Alva Josia Manik, Willy Bonanja Manurung, Ellya Veronika Iriani Manurung, Royston Marhaposan Situmorang, Marhaposan Muhamad Arif Jumansa Muhammad Labieb Muzakkie Muhammad Zaky Arkananta Mulya, Aditya Munawar Munawar Nardi, Nardi Nisa, Ania Maulidiah Nurdin, Fachdy Oktabrian, Krisna Dwi Parwati Sofan Rahma, Nuzula Elfa Ramadoni Khirtin Restianto, Mohammad Obie Rista Hernandi Virgianto Samen Baan Sanjaya, Kadek Valerina Kitana Saputra, Ahmad Irsyad Saragih, Immanuel Jhonson A. Sudarisman, Maman Supriyadi, Asep Adang Syahrul Humaidi, Syahrul Tambunan, Nensy Nindy Tanggahma, Yuan Zalfa Trianasari, Maria Evy Tulus Ikhsan Nasution Veanti, Desak Putu Okta Vidia, Trimawarti Esti Wandono, Wandono Weman Suardy Wibowo, Shindyko Widodo , Anton Widodo Widodo