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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 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

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Geographic Information Systems (GIS) Application for Tsunami Inundation Modeling in Bantul Regency, Yogyakarta Putu Perdana Kusuma Wiguna
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 3 No. 2 (2014)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v3i2.9797

Abstract

Tsunami(s) are natural disasters generated by abrupt, large disturbance of ocean bottom such as earthquakes, volcanic eruptions, landslides, or meteor impacts which creates high ocean waves. Tsunami events has devastating effects, especially to population which highly exposed by tsunami. This research conducted in Bantul Regency, Yogyakarta Province, Indonesia. The geomorphologic conditions and location of Bantul Regency makes Bantul becomes vulnerable to tsunami hazard triggered by earthquakes originated from subduction of the Indian-Australian Plate and Eurasian Plate in the Indian Ocean. This research applied Geographic Information Systems (GIS) modeling methods based on Digital Elevation Data (DEM) and tsunami inundation scenario of 5 meter, 7.5 meter and 10 meter. The model is built using ‘neighbourhood operations’ and ‘iteration’ processes using ILWIS software. The results of this research are tsunami inundation map in Bantul Regency, area of landuse exposed by tsunami events, and number of population impactedby tsunami inundation in Bantul Regency. The total of inundated area in the 5 meter inundation model is 38.13 km2, followed by 42.93 km2 for the 7.5 meter model and 76.02 km2 for the 10 meter model. Majority of landuse impacted by tsunami are settlements and ricefields.  5 meter inundation model reach 2,328 meter to land from 0 meter start, the 7.5 meter model reach 4,141 meter  and 10 meter model reach 4,844 meter. There are 5 Sub-districts that really impacted by tsunami, i.e. Kretek, Sanden, Srandakan, Bambanglipuro and Pundong. Srandakan, Sanden and Kretek. Total of population impacted by tsunami reached 60572 in the 10 meter inundation model. Meanwhile, total 0f 8165 residents impacted from tsunami with 5 meter inundation model and 43088 residents from 10 meter model. The highest number of population impacted by tsunami is in Sanden, with total 25528 residents.
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%).
EFFECT OF BACTERIAL VOLATILE COMPOUNDS ON PAKCOY (Brassica rapa L.) GROWTH PROMOTION Trisna Agung Phabiola; Khamdan Khalimi; Putu Perdana Kusuma Wiguna
International Journal of Biosciences and Biotechnology Vol 9 No 2 (2022): INTERNATIONAL JOURNAL OF BIOSCIENCES AND BIOTECHNOLOGY
Publisher : Central Laboratory for Genetic Resource and Molecular Biology, Faculty of Agriculture, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJBB.2022.v09.i02.p05

Abstract

This research was aimed to test of the ability of MVOC-producing bacteria to increase plant growth of Pakcoy (Brassica rapa L.). The methodology including testing the ability of MVOC-producing rhizobacteria in Pakcoy plant growth enhancement, MVOC extraction and analysis of compounds in MVOC Extracts using Gas Chromatography. Different bacterial species produce different MVOC. S. maltophilia Sg3 emitted 20 MVOC compounds and MVOC that contribute to increasing plant growth, namely oxalic acid, cyclohexyl undecyl ester, 2-Furancarboxaldehyde, 5-methyl-, 1,2 butanediol, and Piperazine. E. asburiae MjSg48 emitted 12 MVOC compounds and those that contributed to increasing plant growth were oxalic acid, cyclohexyl dodecyl ester and 4-methyl oxazole. E. asburiae TK24 emitted 27 MVOC compounds and those that contributed to increasing plant growth were oxalic acid, isohexyl neopentyl ester, thiazole, Oxalic acid, and cyclohexyl decyl ester. Meanwhile P. rettgeri Al2TT emitted 13 MVOC compounds and those that contributed to increasing plant growth were oxalic acid, diisohexyl ester, and Pyridine, 2,3,4,5-tetrahydro.
Analisis Perubahan Penggunaan Lahan di Kota Denpasar dengan Metode NDVI (Normalize Difference Vegetation Index) Fadilah Triani Putri; Ni Made Trigunasih; Putu Perdana Kusuma Wiguna
Nandur Vol 2 No 2 (2022)
Publisher : Fakultas Pertanian, Universitas Udayana

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Abstract

Denpasar City is the capital city of Bali Province with a recorded population of 739,000 people in 2010. In 2020, the population will increase to 962,900 people, with a population increase of 1.01% per year.increase in population will have an impact on increasing the Impervious Surface Area (ISA) or watertight artificial structures, for example the area of built-up land. This land use change affects the green land cover in the Denpasar City area, so it is necessary to analyze land use changes in 2010 and 2020 using the Normalize Difference Vegetation Index. In 2010, the land cover for very dense class was 1795.43 ha, with dense land cover 2672, 85 ha, moderately dense 3520.59 ha, not dense 3749.36 ha and no vegetation 784.79 ha. In 2020, the land cover for very dense class is 1708.26 ha, with dense land cover 2287.99 ha, moderately dese class is 3326.15 ha, not dense 4519.29 ha and no vegetation 682.08 ha. The results of the NDVI analysis showed the highest land cover increase, namely the not dense class is 769.93 ha with the dominant land cover being residential or built-up land. This land use change occurs due to the increasing population of Denpasar City.
Analisis Faktor Prioritas Daerah Resapan Air di Kota Denpasar Provinsi Bali NI PUTU UTARI HANDAYANI; NI MADE TRIGUNASIH; PUTU PERDANA KUSUMA WIGUNA; I WAYAN SEDANA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.11, No.2, April 2022
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Abstract

Analysis Priority Factor of Water Catchment Area in Denpasar City Bali Province Denpasar City as the capital city and one of the tourism centers in Bali Province is experiencing an increasing need for residential land use, because Denpasar City has a fairly large population. This causes a reduction in the water catchment area, so that most of the water becomes runoff. Determination of water catchment areas in all areas using the same factors, namely, soil type, rainfall, slope, and land use. However, each factor will be influenced by environmental conditions which cause each factor to have a different priority value. Therefore, it is necessary to study the priority factors of water catchment areas in Denpasar City. This research was conducted from September to December 2021. The purpose of this study was to determine the determinants of water catchment areas in Denpasar City and the priority value of each factor. This study utilizes spatial technology, namely Geographic Information Systems (GIS) which uses the Spatial Multi Criteria Evaluation (SMCE) to determine the weight and priority value of the determinants of water catchment areas. This research produces an output in the form of a map of each of the determinants of water catchment areas. The results showed that the soil type factor became the first priority, the rainfall factor became the second priority, the land use factor became the third priority, and the slope factor became the last priority.
Analisis Spasial Faktor Prioritas Daerah Rawan Banjir di Kota Denpasar Provinsi Bali DEWA AYU CHYNTIA ANGELINA; NI MADE TRIGUNASIH; PUTU PERDANA KUSUMA WIGUNA; I WAYAN SEDANA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.11, No.2, April 2022
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Abstract

Analysis Priority Factors of Flood Prone Areas in Denpasar City Bali Province Floods are caused by the low infiltration capacity of the soil and the overflow of surface water (runoff) due to the long duration of rain and the high intensity of rainfall so that it cannot accommodate the accumulation of rainwater. Denpasar City is one of the cities in Bali Province where floods often cause losses in terms of material and physical environment. The determinants of flood susceptibility use the same factors, namely rainfall, soil type, land use, slope, and elevation but are influenced by environmental conditions so that the priority value of each factor is different. Therefore, there is a need for a research of the priority factors of flood-prone areas in Denpasar City. The purpose of the research was to determine the determinants of flood vulnerability and priority factors for flood prone areas in Denpasar City using Spatial Multi Criteria Evaluation. This research was carried out in Denpasar City from August to December 2021. The method used was Spatial Multi Criteria Evaluation for weighting and determining priority values ??for determining flood susceptibility through Geographic Information System applications. This research produces an output in the form of a map of each of the determinants of flood vulnerability in Denpasar City. The results showed that the rainfall factor was the first priority, the land use factor was the second priority, the soil type factor was the third priority, the slope factor was the fourth priority, and the altitude factor was the last priority.
INVITED REVIEWERS Putu Perdana Kusuma Wiguna
International Journal of Biosciences and Biotechnology Vol 1 No 1 (2023): Special Issue February (Online First)
Publisher : Central Laboratory for Genetic Resource and Molecular Biology, Faculty of Agriculture, Udayana University

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Abstract

INVITED REVIEWER
Co-Authors Afrinia Lisditya Permatasari Afrinia Lisditya Permatasari DEWA AYU CHYNTIA ANGELINA Erik Febriarta Fadilah Triani Putri I DEWA MADE ARTHAGAMA I Ketut Sardiana I Made Dana I WAYAN SEDANA Ika Afianita Suherningtyas Ika Afianita Suherningtyas Ika Afianita Suherningtyas 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 Suherningtyas, Ika Afianita Tati Budi Kusmiyarti Tri Tanami Sukraini TRISNA AGUNG PHABIOLA