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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah)
Octaviani, Linggar Ayu
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Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics

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Desain Rancang Bangun Trainer Kit untuk Menentukan Pengaruh Jenis Bahan Tali Terhadap Cepat Rambat Gelombang Octaviani, Linggar Ayu; Prastowo, Sri Handono Budi; Anggraeni, Firdha Kusuma Ayu
JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Vol. 5 No. 1 (2021): May Edition
Publisher : Universitas Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jipfri.v5i1.838

Abstract

The aim of the research is to establish the design of the trainer kit project to determine the effect of the rope material type toward the rope wave velocity and the effect of the type of nylon, raffia, polyester, hemp and chinnese satin rope materials on the velocity of rope wave propagation. The research method used is the Research and Development method using Nieveen design. The development of trainer kit uses an Arduino UNO microcontroller equipped with a proximity sensor HC-SR04 for measuring the rope wavelength. One point of the rope is tied with a timer ticker and the other is tied to a hanging load which is resting on a pulley. When the power supply is turned on, the timer ticker will vibrate to move the rope that has been tied. The rope will form a transverse wave. The result of this research, the design of trainer kit is development by using micro-controlled Arduino UNO and a proximity sensor HC-SR04 can be declared as a valid result. There are mass convention impacts of the type of rope likely nylon, polyester, raffia, hemp and chinese satin toward the rope wave velocity.
Identifikasi Data Remote Sensing NDVI, LST DAN LULC Pada Manifestasi Panas Bumi Di Kabupaten Bondowoso Octaviani, Linggar Ayu; Cahyono, Bowo Eko; Suprianto, Agus
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.9620

Abstract

The increasing energy demand in Indonesia encourages the exploration of alternative energy sources, including geothermal energy. Bondowoso Regency, particularly the Blawan area, holds significant geothermal potential that remains underutilized. This study analyzes the relationship between Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), and Land Use Land Cover (LULC) using Landsat 8 imagery processed through Google Earth Engine. Spatial data of LST, NDVI, and LULC were extracted, visualized, and interpreted to identify geothermal manifestation areas. The results show that geothermal manifestations are indicated by high LST values (above 35°C), low NDVI values (sparse vegetation), and specific land use patterns, especially in the northeastern part of Bondowoso. The integration of LST, NDVI, and LULC enables more accurate identification of geothermal potential. The study concludes that remote sensing-based analysis is effective for detecting geothermal manifestations and supports more optimal geothermal resource mapping, exploration, and management, contributing to the sustainable development of renewable energy in the region.
Co-Authors Anggraeni, Firdha Kusuma Ayu Cahyono, Bowo Eko Prastowo, Sri Handono Budi Suprianto Suprianto