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All Journal Indonesian Journal of Geography International Journal of Biosciences and Biotechnology E-Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Forum Geografi Journal of Tropical Biodiversity and Biotechnology Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktik dalam Bidang Pendidikan dan Ilmu Geografi Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Nandur
Putu Perdana Kusuma Wiguna
Program Studi Agroekoteknologi Fakultas Pertanian Universitas Udayana, Jl. P.B. Sudirman Denpasar 80362 Bali
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Immunology & microbiology

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Journal : Forum Geografi

 1 
Analysis of Local Spatial Data Infrastructure to Support Volcanic Mudflow Mitigation along Putih River, Magelang Regency, Central Java Province, Indonesia Permatasari, Afrinia Lisditya; Suherningtyas, Ika Afianita; Wiguna, Putu Perdana Kusuma
Forum Geografi Vol 34, No 1 (2020): July 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v34i1.11169

Abstract

One of the most devastating disasters in Indonesia was the Mount Merapi eruption in 2010. After the eruption there still exists the secondary hazard of volcanic mudflow, which has caused damage and casualties. Volcanic mudflow is a mixture of pyroclastic material and rainwater, meaning that in the rainy season the area along rivers becomes a high volcanic mudflow hazard, including the area along Putih River in Magelang Regency, Central Java Province. The development of Spatial Data Infrastructure (SDI) plays an important role in disaster management, especially in disaster mitigation efforts. Building an SDI which shares information on spatial conditions in the area along the Putih River could save many lives and reduce the risk from volcanic mudflow. This research was conducted employing interview surveys, field surveys and secondary data collection at government institutions. The results of the analysis have provided a geoportal prototype as an information gateway for the mitigation of volcanic mudflow along the Putih River and the reduction of disaster risk both for the government and community.
Analysis of Local Spatial Data Infrastructure to Support Volcanic Mudflow Mitigation along Putih River, Magelang Regency, Central Java Province, Indonesia Afrinia Lisditya Permatasari; Ika Afianita Suherningtyas; Putu Perdana Kusuma Wiguna
Forum Geografi Vol 34, No 1 (2020): July 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v34i1.11169

Abstract

One of the most devastating disasters in Indonesia was the Mount Merapi eruption in 2010. After the eruption there still exists the secondary hazard of volcanic mudflow, which has caused damage and casualties. Volcanic mudflow is a mixture of pyroclastic material and rainwater, meaning that in the rainy season the area along rivers becomes a high volcanic mudflow hazard, including the area along Putih River in Magelang Regency, Central Java Province. The development of Spatial Data Infrastructure (SDI) plays an important role in disaster management, especially in disaster mitigation efforts. Building an SDI which shares information on spatial conditions in the area along the Putih River could save many lives and reduce the risk from volcanic mudflow. This research was conducted employing interview surveys, field surveys and secondary data collection at government institutions. The results of the analysis have provided a geoportal prototype as an information gateway for the mitigation of volcanic mudflow along the Putih River and the reduction of disaster risk both for the government and community.
Spatial Analysis of Mangrove Distribution Using Landsat 8 Oli in Badung Regency and Denpasar City, Bali Province, Indonesia Putu Perdana Kusuma Wiguna; Ni Wayan Sri Sutari; Erik Febriarta; Afrinia Lisditya Permatasari; Ika Afianita Suherningtyas; Nur Ainun Harlin Jennie Pulungan; Tri Tanami Sukraini; Mutiara Gani
Forum Geografi Vol 36, No 1 (2022): July 2022
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v36i1.14711

Abstract

Bali is an island situated among the Indonesian archipelago with huge potential to host mangrove forests. Using remote sensing technology advances, satellite images, such as Landsat images, might be employed to analyse mangrove forest distribution and density. This paper presents an analysis of mangrove distribution in Badung Regency and Denpasar City, Bali, as a basis for the management and conservation of mangrove ecosystems. This study used Landsat 8 OLI images and a vegetation index to analyse the mangrove forest distribution and density in this area. It started by identifying mangrove forests using the RGB 564 band and continued to distinguish between mangrove and non-mangrove objects using unsupervised classification, before analysing mangrove density using the NDVI formula. The results show that the mangrove forest area in 2020 was 1,269.20 ha, with an accuracy rate of 83%. Mangroves were found on the deepest or most curved coastline of the Benoa Bay area, on enclosed waters. This distribution follows the river network in the lower reach, which has thick deposits and is uninfluenced by large currents and waves. Based on the vegetation index analysis results, the mangrove forest area observed mainly had a moderate density, with a total area of 510.85 ha (40%), followed by high density (413.15 ha/ 33%) and low density (340.51 ha/ 27%).
Co-Authors Afrinia Lisditya Permatasari Afrinia Lisditya Permatasari ARIYANTA, I PUTU BAWA Devi, Komang Saraswati Devi, Putu Shinta DEWA AYU CHYNTIA ANGELINA Dinarkaya, Shah Mahapati Erik Febriarta Fadilah Triani Putri GARGITA, I WAYAN DIKSA Gusti Ngurah Alit Susanta Wirya I DEWA MADE ARTHAGAMA I Ketut Sardiana I Made Dana I Putu Sudiarta I WAYAN SEDANA KETUT AYU YULIADHI Khamdan Khalimi Mutiara Gani Ni Luh Ramaswati Purnawan NI MADE TRIGUNASIH NI PUTU SRI SUTARI NI PUTU UTARI HANDAYANI Nur Ainun Harlin Jennie Pulungan Permatasari, Afrinia Lisditya R. Suyarto Selangga, Dewa Gede Wiryangga SUGIARTA, DWI Suherningtyas, Ika Afianita Tati Budi Kusmiyarti Tri Tanami Sukraini TRISNA AGUNG PHABIOLA