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Identifikasi Data Remote Sensing NDVI, LST DAN LULC Pada Manifestasi Panas Bumi Di Kabupaten Bondowoso Linggar Ayu Octaviani; Bowo Eko Cahyono; Agus Suprianto
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.
Multi-Criteria Analysis Approach for Potential Flood Areas Mapping in The Bedadung River Watershed, Jember Regency Wafi, Moh. Abduh; Cahyono, Bowo Eko; Octaviani, Linggar Ayu; Triatmojo, Muhammad Ikbal Nur Dian; Suprianto, Agus
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.46612

Abstract

Flood disasters often result in negative impacts, including damage to property, infrastructure, and loss of human lives. Identifying flood-prone areas and implementing appropriate prevention measures can significantly reduce its adverse effects. Mapping  potential flood  plays a key role in land use planning, early warning systems, emergency response, and flood mitigation efforts. In recent years, the Bedadung Watershed has faced issues of fluctuations in water discharge and it has a potential to cause flooding in Jember regency. This study aims to assess the flood vulnerability level in the Bedadung Watershed using parameter’s scoring and weighting methods, followed by an overlay or merging of each parameter. The research findings indicate that parameters influencing flood potential in the Bedadung Watershed are land use and land cover, slope and elevation area, and soil type. The results showed that the areas which are identified as vulnerable and highly vulnerable are mainly located at low elevations (0-500 m) with tend to be safe from occurring flood even though the level of rainfall is high. On the other side, the vegetation cover areas showed the low vulnerable from flood.
Karakterisasi Sensor LDR dan Aplikasinya pada Alat Ukur Tingkat Kekeruhan Air Berbasis Arduino UNO Bowo Eko Cahyono; Ina Dwi Utami; Novia Puji Lestari; Nur Shabrina Oktaviany
Jurnal Teori dan Aplikasi Fisika Vol. 7 No. 2 (2019): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v7i2.219

Abstract

A system of monitoring turbidity levels in real time using an LDR sensor has been designed and implemented. This study aims to characterize the LDR sensor and subsequently the results are used as a basis in the application of the deterioration system design for water turbidity levels. The characterization results show that the LDR sensor has a linearity of 90.86% and sensitivity of 0.0082 mV per lux. After being applied in measuring instruments the light intensity of the sensor has a precision level of 92.58% and the level of accuracy of the measurement results is an average of 87.89%. Based on the results of the design that has been carried out this instrument is able to turn on the water pump for the purification process automatically when the intensity of back scattering is less than 72 lux
Multi-Criteria Analysis Approach for Potential Flood Areas Mapping in The Bedadung River Watershed, Jember Regency Wafi, Moh. Abduh; Cahyono, Bowo Eko; Octaviani, Linggar Ayu; Triatmojo, Muhammad Ikbal Nur Dian; Suprianto, Agus
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.46612

Abstract

Flood disasters often result in negative impacts, including damage to property, infrastructure, and loss of human lives. Identifying flood-prone areas and implementing appropriate prevention measures can significantly reduce its adverse effects. Mapping  potential flood  plays a key role in land use planning, early warning systems, emergency response, and flood mitigation efforts. In recent years, the Bedadung Watershed has faced issues of fluctuations in water discharge and it has a potential to cause flooding in Jember regency. This study aims to assess the flood vulnerability level in the Bedadung Watershed using parameter’s scoring and weighting methods, followed by an overlay or merging of each parameter. The research findings indicate that parameters influencing flood potential in the Bedadung Watershed are land use and land cover, slope and elevation area, and soil type. The results showed that the areas which are identified as vulnerable and highly vulnerable are mainly located at low elevations (0-500 m) with tend to be safe from occurring flood even though the level of rainfall is high. On the other side, the vegetation cover areas showed the low vulnerable from flood.