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All Journal HAYATI Journal of Biosciences Agrotrop : Journal on Agriculture Science Ecotrophic, Journal of Environmental Science E-Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Journal of Marine Research and Technology International Journal of Remote Sensing and Earth Sciences (IJReSES) INTERNATIONAL JOURNAL OF ENVIRONMENT AND GEOSCIENCES
I Wayan Nuarsa
Program Studi Agroekoteknologi Fak. Pertanian Unud
Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Education Environmental Science

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Analisis Daerah Rawan Bencana Kekeringan Berbasis Sistem Informasi Geografis di Kabupaten Bondowoso Provinsi Jawa Timur WAHID ARDIANSYAH; I WAYAN NUARSA; IDA BAGUS PUTU BHAYUNAGIRI
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.10, No.4, Oktober 2021
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Analysis of Drought-Prone Areas Based on Geographic Information Systems in Bondowoso Regency, East Java Province Hydrometeorological disasters that often hit Indonesia are floods in the rainy season and drought in the dry season. The plains in Bondowoso Regency consist of mountains and hills covering 44.4%, highlands covering 24.9%, and lowlands covering 30.7% of the total area. Such land conditions in Bondowoso Regency have a negative impact on another aspect, namely the availability of clean water for the surrounding community. This study aims to determine the distribution of drought-prone areas in the Bondowoso Regency, verify the results of the analysis with BPBD data from Bondowoso Regency, and directions for drought mitigation. The method used in this research is spatial analysis with a scoring system using Quantum GIS software. The results showed that in Bondowoso District, there are 5 classes of drought susceptibility. Those classes including a very low drought hazard class covering an area of ??0 ha, a low hazard class with an area of ??928 ha, the moderate hazard class with an area of ??73,378 ha, the high hazard class with an area of ??77,522 ha, and a very high with an area of ??4,172 ha.
Analisis Kebutuhan Ruang Terbuka Hijau Berdasarkan Kebutuhan Oksigen Menggunakan Teknologi Penginderaan Jauh di Kabupaten Badung ANAK AGUNG PLASA PADMAWATI; I WAYAN NUARSA; I KETUT SARDIANA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.10, No.1, Januari 2021
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Analysis Of Need For Green Open Space Based On Oxygen Needs Using Remote Sensing Technology In Badung Regency Badung Regency is one of the regencies in Bali Province which has a quite rapid development. Total population of Badung regency in 2018 was 656.90 thousand people with population growth rate of 4.64 % which is the highest growth rate in Bali Province. The objective of this research is (1) to map the percentage of green open space in Badung Regency using Sentinel-2A satellite imagery, (2) to analyze the oxygen needs of Badung regency, and (3) to evaluate the need of green open space in Badung regency based on availability of green open space and the need for oxygen. This study was a descriptive quantitative research who utilize remote sensing technology using the satellite imagery of Sentinel-2A and Gerarkis methods. The methods of sample collection was stratified random sampling with the number of sample is 76. The estimated density of vegetation derived from a comparison between the five indices of vegetation that is NDVI, RVI, DVI, TVI, and SAVI. The result of study shows that the SAVI is the best vegetation index for green open space estimation based on the determination coeffecient (R2) value. The t-test paired confirm as well that there are no significant different between green open space obtaining from estimation using Sentinel-2A satellite imagery and direct measurement on high-scale images. The estimation result of vegetation density indicates that the vast green open space in Badung Regency in 2019 was 22.930,67 ha. The extent of the need of green open space based on oxygen demand by residents, vehicle, and livestock in 2019 is 7.516,34 ha.
Pendugaan Produksi Padi Menggunakan Citra Sentinel-2A di Kabupaten Tabanan I MADE ALIT WIRANATHA; I WAYAN NUARSA; I KETUT SARDIANA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.10, No.1, Januari 2021
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Estimation of Rice Production Using Sentinel-2a Image in Tabanan Regency Rice is strategical commodities because rice is a primary food in Indonesia. Thus, the estimation of rice production becomes crucial to do before the time of harvest to determine the availability of food. The objectives of this study were (1) developing of estimation equation model using Sentinel-2A imagery, (2) estimating rice field production using Sentinel-2A imagery, and (3) testing the accuracy of rice production estimation results using images Sentinel-2A. The research area is located in Tabanan Regency. Analysis of the research is done by the analysis of the single band and vegetation indices of Sentinel-2A satellite imagery. Estimation model of rice production developed by finding out the relationship between the satellite imagery data and the rice production data. Finally, accuracy test of the rice production estimation model is done using t test and regression analysis. The result of the study shows that the Normalized Difference Vegetation Index (NDVI) has the best relationship with the rice age and then used for the rice production estimation. The equation of rice production estimation is y = 7,7429ln (x) + 11,147, where y is the rice production in ton/ha and x is the value of NDVI of Sentinel-2A imagery in rice age range of 57 to 67 day after transplanting. The results of the accuracy test showed that the model obtained is suitable for estimating rice production with the accuracy level of 84,59% and a standard error of estimated production of ± 0,7463 ton/ha. Based on the research results, it can be concluded that the Sentinel-2A satellite imagery can be used to estimate the rice production with the enough accuracy. The results are expected to be a reference in estimating rice production in Tabanan Regency.
Evaluasi Penyimpangan Penggunaan Lahan Berdasarkan Peta Arahan Pemanfaatan Lahan di Kecamatan Ubud, Kabupaten Gianyar, Provinsi Bali FRANSISKA PURBA; R. SUYARTO; I WAYAN NUARSA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.6, No.2, April 2017
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Abstract

Evaluation of Deviation Land Based On The Direction Of Land Use In Ubud District, Gianyar Regency, Province of BaliUbud District is one of the most important tourist destinations in Bali for local domestic and international tourist.Development of tourism area near to build their infrastructure such as hotel, villa, restoran, spa, etc. Currently, many tourism facilities was development in high slope, this can cause natural hazard such as land sliding, erosion, flood, etc. The objective of this result is to compare between directions of land use and existing land use. Calculations of land use directions used the scoring system with 3 variable, that is tabel of daily rain fall, slope, and soil type. The existing land use was obtained by screen digitizing of quickbird image in 2014 to produce land use map. The direction of land use in Ubud district consists of, the area of seasonal cultivation and settlements area 2975,45 hectares (68,16%), perrenial crop cultivation area 1256,44hectares (28,78%), and the buffer area 133,34 hectares (3,06%). Interpretation result and classification of Quickbird Imagery by the year of 2014 for the land use in Ubud District consists of settlement area, 1523,19 hectares (34,89%), rice irrigation area of 1673,44 hectares (38,33%), moor 798,16 hectares (18,28), mixed-use cultivation area 301,46hectares (6,91%), and monkey forest/river border protected areas 68.98 hectares(1,59%).Image classification accuracy in this study is 92,30%. The discrepancy in the land use direction that showed better use of the region consists of: the seasonal cultivation and the settlement area became an monkey forest/river border protected areas 49,49 hectares(1,13%), perennial crop cultivation area became an monkey forest/river border protected areas8,18 hectares (0,18%), area of seasonal crop cultivation and settlements area into mixed-use cultivation area 146,70 hectares (3,36%). Meanwhile, the discrepancy in the use land direction that became worse consists of: buffer area into a settlements area 83,69 hectares (1,91%), buffer area into rice paddies covering 11,04 hectares (0,26%), buffer area into an area of moor 25,25 hectares (0,57%),buffer area into the mixed-use cultivation area 2,06 hectares (0,04%), perennial cultivation area into settlements covering 335,53 hectares (7,69%), perennial cultivation area into rice paddies covering an area of 369,34 hectares (8,46%), perennial cultivation area into an moor area 390,81 hectares(8,96%).
Aplikasi Citra Satelit QuickBird Untuk Kajian Alih Fungsi Lahan Sawah di Kota Denpasar RUNIA CHRISTINA GULTOM; INDAYATI LANYA; I WAYAN NUARSA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.4, No.2, April 2015
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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ABSTRACT Quickbird Satellite Imagery Applications for study of rice field conversion in the city of Denpasar The experiment aimed to find out the rice field conversion on QuickBird satellite imagery and its relation to food availability in the city of Denpasar. This experiment was conducted in the city of Denpasar and  agricultural faculty campus, Udayana University. The method used is literature, QuickBird satellite image analysis, and food balance analysis. The result showed that  the rice field conversion by QuickBird satellite image analysis results in Denpasar, in the period of five years (2002-2006) amounted to 21 hectares, for the year 2006-2012 268,69 hectares, and for the last ten years (2002-2012) at 270,79 hectares ha. In the Year 2012 City of Denpasar has a deficit of 94.221,62 tonnes of food crops for 1 times harvest,  94.212,55 tonnes for two times harvest, and 94.203,47 tonnes for three times harvest. Denpasar City remain in deficit despite experiencing three times food crops in a year. Denpasar in 2020 deficit amounted to 100.876,57 tonnes of food for one times harvest, 100,869.00 tonnes for the two times harvest, and 100.861,43 tons for three times harvest. Like the 2020, the 2030 growing higher deficit that is 129.702,50 tonnes crop for one times harvest,  129.696,82 tonnes for the two times harvest, and 129.691,14 tonnes for three times harvest. Keywords: rice field conversion, QuickBird, satellite image, food ability,
Pemetaan Lahan Sawah Subak Berbasis Remote Sensing dan GIS di Kecamatan Mengwi, Kabupaten Badung FERONIKA FERONIKA; INDAYATI LANYA; I WAYAN NUARSA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.7, No.1, Januari 2018
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Mapping of Subak Land Based on Remote Sensing and GIS in Mengwi, Badung Regency Subak in this research is a unit of management that includes physical conditions such as agricultural land resources, human resources, and agricultural activities. Subak mapping is necessary in the planning, implementation, and monitoring of agricultural development related to the preservation of subak resources and food availability in the region. The aim of this research is to make subak field map in Mengwi subdistrict and to analyze the comparison of subak field from the result of digitized satellite imagery with the Central Bureau of Statistics (BPS) data and the pekaseh data. The research is conducted in Mengwi Subdistrict, Badung, Bali from October 2016 to May 2017. The methods used in this study are (1) literature study, (2) Quickbird 2012 satellite image analysis and Cnes / Astrium Digital Globe 2017 from Google Earth, (3) survey, and (4) comparative analysis of subak field area using Statistical Product and Service Solutions (SPSS). The width of subak from the result of the digitized satellite imagery is obtained by 48 subak polygons with area of 3,999.65 ha. The comparison between the width of subak from the result of digitized image with BPS data and the pekaseh data shows that there is very significant result (,000). The scatter diagram graph shows that a positive relationship between the digitized results with the BPS data and the pekaseh data with the correlation coefficient (R2) of the BPS data (0,941) and the pekaseh data (0,951).
Aplikasi Sistem Informasi Geografi (SIG) untuk Pemetaan Akuifer di Kota Denpasar HARIANJA JUITA; R. SUYARTO; I WAYAN NUARSA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.3, No.4, Oktober 2014
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Abstract

ABSTRACT Application of Geographic Information System (GIS) for Mapping of Aquifers in Denpasar City Ground water is the water contained in the soil or rock layers below the soil surface. Water resources derived from groundwater generally directly used to meet the needs of clean water daily. Ground water is used each time would decline both in quality and quantity along with the number of people who exist in an area. The aim of this research is to examine characteristics of aquifer and find out direction of the groundwater flow. Descriptive method selected as the method in this research, which is reads and records forms data to find out types aquifer, aquifer thickness and the permeability of aquifer. Determining the point of wells location is using purposive sampling method and to analyze the aquifer characteristics data likes water quality (eg; temperature, acidity, total dissolved solids), direction groundwater flow, aquifer thickness, aquifer types and the permeability of aquifer using Spline method and IDW (Inverse Distance Weighting). The results of this research are map of temperature, total dissolved solids, pH, aquifer types, aquifer thickness, the permeability of aquifer and groundwater flow. There are poor quality of groundwater in Denpasar area (west, east, north and south area) shows by their temperature and acidity. On the other hand, the total dissolved solids shows good water quality in east Denpasar area only. Depth of the unconfined aquifer ranging from 10 - 40 m (deep) up to > 40 m (very deep), thickness of unconfined aquifer is 30 m (deep) up to > 40 m (very deep), permebility unconfined aquifer are slow, very slow and fast. Depth of confined aquifer start from 40-100 m (deep) up to >100 m (very deep), thickness confined aquifer are 40 m (shallow), 60 m (deep) up to >100 m (very deep), permeability of confined aquifer both slow and fast. Unconfined aquifer and confined aquifer generally are sands, gravel, sandstone, volcanic ash and limestone. Groundwater flow from north to south.   Keyword : Aquifer, Geographic Information System (GIS), Ground water
Aplikasi Sistem Informasi Geografis (SIG) untuk Kajian Banjir di Kota Denpasar NI KOMANG RINI RATNA DEWI; I WAYAN NUARSA; I WAYAN SANDI ADNYANA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.6, No.2, April 2017
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Application of Geographic Information System (GIS)For Study of Flood in Denpasar City Denpasar city in general situation has flat area, high rain fall intensity and the dominated landuse of settlement. This condition can reduce the catchment area. This leads Denpasar City become potential for the occurrence of flooding. Therefore, it needs to do research about flood occur in Denpasar.The aim of this research is to find out level of flood vulnerability and it’s spatial distribution in Denpasar. Weighting, scoring and overlay method were used in this research. There are six indicators were analyzed using Geographic Information System (GIS) such as landused, rainfall, type of soil, slope, altitute and drainage density.The result of this research is a map of flood vulnerability in Denpasar City. There are four class of flood vulnerability. Total of the area classified as low, medium, high and very high of flood level are 0,225 hectares (0,002%), 251,73 hectares (2,11%), 4686,7 hectares (38,91%), and 7107,08 hectares or 59% rispectively. Flood vulnerability is spread in entire village in Denpasar City with the varies level. It cause different physical condition area. Low vulnerability level up to medium is spread in North Denpasar Sub-District. High level vulnerability is spread in East Denpasar Sub-District and very high level vulnerability is distributed in West Denpasar and South Denpasar Sub-District.
Pemetaan Tingkat Kekeringan Lahan pada Fenomena El Nino 2002, 2009, dan 2015 di Provinsi Bali dengan Teknologi Penginderaan Jauh dan Sistem Informasi Geografis NI PUTU AYU KRISMAYANI; I WAYAN NUARSA; R. SUYARTO
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.10, No.2, April 2021
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Mapping of Land Drought in El Nino Phenomenon 2002, 2009 and 2015 in Bali Province Using Remote Sensing Technology and Geographical Information System Land dryness caused by the El Nino phenomenon in an area has a major impact on land productivity. The objectives of this study are (1) to compare the level of land dryness based on the El Nino phenomenon in 2002, 2009 and 2015, and (2) to determine the impact of El Nino on food crop production in Bali Province. To achieve this goal, this study uses Terra MODIS images. Drought condition is evaluated using vegetation greenness and air temperature parameters. Normalized Difference Vegetation Index (NDVI) and Vegetation Condition Index (VCI) are used to predict the vegetation greenness, where as Land Surface Temperature (LST) and Temperature Condition Index (TCI) are utilized to estimate the air temperature. Finally, Vegetation Healthy Index (VHI) is calculated based on value of VCI and TCI. The results shows that the El Nino phenomena in 2002 is the strongest dryness in Bali Province followed by the El Nino in 2015 and 2009. Most of the drought is spread over coastal area of Bali Province. There is the time lag around 6 months between decreasing of rainfall and appearance of drought symptoms. The total production of food crops in 2015 is the lowest, namely 1,032,067 tons, compared with production in 2002 and 2009 that is 1,127,452 tons and 1,252,443 tons respectively. However, statistically El Nino phenomena has no significant effect on food crop production. This is caused by the rice field irrigation sistem in Bali Province is still well maintained and the ability of farmers to mitigate the impact of drough on agriculture production.
Sistem Informasi Lahan Subak Berbasis Penginderaan Jauh Dan Sistem Informasi Geografi Di Kota Denpasar JEREMIA KEVIN RONIO HUTAURUK; INDAYATI LANYA; I WAYAN NUARSA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.5, No.3, Juli 2016
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Information System of Subak Land on Remote Sensing and Geographic Information Systems in Denpasar CityThe aims of this research are: to produce the map of subak in Denpasar. to provide the information system of subak land on remote sensing and geographic information systems (GIS). To analyse the existing of subak with RTHK in RTRW Denpasar 2011-2031. Te method which used is satellite imagery Worldview analysis, field survey, the arrangement of resource database and analysis spasial data of subak compatibility with RTHK.The Result of research: subak map of Denpasar, land area subak map of Denpasar, table and graphic of relation analysis between land area of subak as the result of image digitation and land area of BPS. Subak research database in Arcview and overlay map of subak land with RTHK Denpasar. There is a significant relation between the land area of subak as the result of image digitation and land area of BPS. One of the factors is there is a different of changing until 100% caused by it was still attached the data of the land area of the East Peraupan Subak in BPS data about 15 ha while the information from Pekaseh, it has no field anymore since 1992. Therefore the amount of subak in Denpasar are 41 subak. The relation analysis between subak land and RTHK are the field which belongs to RTHK is about 1.198,25 ha, the largest is in East Denpasar (472,06 ha), the field that outside of RTHK is about 810,01 ha, the largest is in South Denpasar (251,86 ha), the field could be converted to the non agriculture land. The non field in RTHK is about 339,37 ha, the largest is in east Denpasar (167,74 ha).
Co-Authors Abd. Rahman As-syakur Agit Setiyoko Agung Budi Harto Alan Frendy Koropitan Anak Agung Gede Sugianthara ANAK AGUNG PLASA PADMAWATI Atsushi Ono CHAO FANG ZHAO Deni Suwardhi Deni Suwardhi Diah Pertami Dian Novianto Farah Nafisa Ariadji Fenny M. Dwivany FERNANDO JOSUA SINAGA FERONIKA FERONIKA FRANSISKA PURBA Fumihiko Nishio FUMIHIKO NISHIO FUMIHIKO NlSHIO Gede Surya Indrawan HARIANJA JUITA I Dewa Nym. Nurweda P., I Gede Hendrawan I GUSTI ALIT GUNADI I Gusti Bagus Sila Dharma I Gusti Ngurah Bagus Sukertha Diputra I Kade Alfian Kusuma Wirayuda I Ketut Sardiana I Ketut Swardika I Made Adhika I MADE ALIT WIRANATHA I Made Gede Sunarya I Made Mega I Made Sukearsana I Made Sukewijaya I Nyoman Dibia I Nyoman Puja I NYOMAN RAI I NYOMAN SUNARTA I W BUDIARSA SUYASA I Wayan Gede Astawa Karang I Wayan Sandi Adnyana IDA AYU PUTU JELANTIK PARWATI IDA BAGUS PUTU BHAYUNAGIRI INDAYATI LANYA JEREMIA KEVIN RONIO HUTAURUK Ketut Wikantika Kuncoro Teguh Setiawan M.Cs S.Kom I Made Agus Wirawan . Made Santiari Mark Johannes Wiggers MAR’IE ABDA’U ZAL Maulana Ilham Fahmy Alam Ngo The An Nguyen Tuyet Lan Ni Kadek Martini NI KOMANG RINI RATNA DEWI Ni Luh Putu Ria Puspitha NI PUTU AYU KRISMAYANI NI WAYAN FEBRIANA UTAMI Prila Ayu Dwi Prastiwi R. Suyarto Rijal Rahmatullah Romaldo Da Costa Ximenes RUNIA CHRISTINA GULTOM Sagung Putri Chandra Astiti Susumu Kanno Susumu Kanno SUSUMU KANNO SUSUMU KANNO Syifa Wismayati Adawiah Takahiro Osawa Takahiro Osawa TAKAHIRO OSAWA Takahiro Osawa Takahiro Osawa Takahiro Osawa WAHID ARDIANSYAH WAYAN SANDI Widiastuti Widiastuti YASUHIRO SUGIMORI YASUHIRO SUGIMORI YASUHIRO SUGIMORI Yasuo Furushima