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Evaluasi Status Kerusakan Tanah Sawah Berbasis Sistem Informasi Geografis di Kecamatan Baturiti Kabupaten Tabanan, Provinsi Bali RENI ANDRIANI NAIBAHO; NI MADE TRIGUNASIH; I WAYAN NARKA
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.11, No.3, Juli 2022
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Evaluation of the Damage Status of Rice Fields Based on Geographic Information Systems in Baturiti District, Tabanan Regency Soil damage is a change in the basic properties of the soil that exceeds the standard criteria for soil damage. This study aims to determine the potential damage to paddy fields, the status of damage to paddy fields, and to make a map of the potential and status of damage to paddy fields. The research was conducted using survey and scoring methods, homogeneous land unit maps were made to determine the sampling point. Based on the results of overlapping maps of slope, soil type, land use and rainfall data, 5 points of homogeneous land units were obtained. Field observations were made to determine the parameters of the thickness of the solum and surface rock, composite soil sampling for analysis of pH, texture, electrical conductivity, number of microbes and intact soil samples for analysis of permeability, bulk density, and porosity. The results of the research on potential soil damage were classified as mild at SLH 1 (Perean Tengah) and 5 (Apuan) and moderate at SLH 2 (Antapan), 3 (Luwus) and 4 (Batunya). The soil damage status was classified as light at SLH 3 (Luwus) with the limiting factor of porosity, SLH 1 (Perean Tengah) and 5 (Apuan) with the limiting factor of permeability. SLH 2 (Antapan) and 4 (Batunya) are not damaged.
Correlation Between Soil Nitrogen Content and NDVI Derived from Sentinel-2A Satellite Imagery Ni Made Trigunasih; Moh Saifulloh
Jurnal Lahan Suboptimal : Journal of Suboptimal Lands Vol. 11 No. 2 (2022): JLSO
Publisher : Research Center for Suboptimal Lands (PUR-PLSO), Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jlso.11.2.2022.574

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The United Nations Educational, Scientific, and Cultural Organization (UNESCO) has recognized the Balinese agricultural irrigation system known as subak as part of the world's cultural heritage. Subak is the driver of Bali’s agricultural and tourism sectors and, therefore, must be preserved. Population growth triggers the conversions of land functions, from subak to built-up lands, such as those transpiring in Denpasar City. On the other hand, with the population continuously increasing, the demand for food becomes inevitably higher. This has caused farmers to intensify their agricultural practices through, for instance, applying chemical fertilizers excessively-potentially decreasing soil fertility. An example is urea fertilizer that contains a macronutrient, i.e., nitrogen (N). This study aimed to analyze the soil N content and its correlation with rice growth using the Normalized Difference Vegetation Index (NDVI). The Kjeldahl method was conducted to measure the N levels in the soil laboratory. NDVI was extracted from remote sensing data, namely Sentinel-2A imagery, on a cloud computing platform, Google Earth Engine (GEE), using Band 8 (NIR) with a wavelength of 0.842 m and Band 4 (Red) with 0.665 m. The results showed that the N levels varied from 0.09% to 0.31% and the average NDVI values ranged from 0.47 to 0.54. There is a strong correlation (r = 0.75 to 0.78) between the NDVI values derived from the Sentinel-2A Satellite Imagery and the soil nitrogen content. Spatially, based on the analysis results of the 2019‒2021 data, parts of existing subak systems, i.e., Subak Kerdung, Mergaya, Padanggalak, and Sembung, have high soil N contents and NDVI values.
Analisis Potensi dan Status Kerusakan Tanah pada Lahan Kering Berbasis Sistem Informasi Geografis di Kecamatan Baturiti, Kabupaten Tabanan, Provinsi Bali NI KADEK ARY KRISNAYANTI; NI MADE TRIGUNASIH; I WAYAN NARKA
Agrotrop : Journal on Agriculture Science Vol 13 No 1 (2023)
Publisher : Fakultas Pertanian Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/AJoAS.2023.v13.i01.p11

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Analysis of Soil Degradation Potential and Status in Agricultural Dry Land Based on Geographic Information Systems in Baturiti Sub-District. Biomass production activities that do not pay attention to conservation principles can cause soil degradation. This will reduce the productivity of natural resources, forestry and agriculture. The purpose of this research are to determine the potential, status, and distribution of soil degradation on dry land farming in Baturiti Sub-district. The method used on this research is a comparative descriptive method. Based on overlay of land use map, slope map, and soil type map using geographic information system, 9 homogenous land units were obtained. The land use observed was mixed gardens and dry fields with field observations of surface rocks and solum depth. Samples were analyzed in the laboratory to determine bulk density, total porosity, texture, permeability, pH, DHL, and microbial count. Determination of degradation status based on standard criteria of soil degradation. The results showed three classes of potential soil degradation, namely the potential for mild soil degradation at Perean Tengah, medium soil degradation potential at Baturiti, Antapan, Luwus, Bangli, Angseri, Candikuning, and the high potential soil degradation at Antapan. The soil degradation status was found lightly damaged status with permeability limiting factors at Baturiti and partially Antapan, with limiting factors for permeability and composition of fractions at Candikuning and partially Antapan, limiting factors for permeability and porosity total at Perean Tengah.
Analisis Tingkat Erosi dan Perencanaan Konservasi Berbasis Sistem Informasi Geografis di Kecamatan Rendang, Kabupaten Karangasem, Provinsi Bali THRESIA ADHISYA SITORUS; MADE SRI SUMARNIASIH; NI MADE TRIGUNASIH
Agrotrop : Journal on Agriculture Science Vol 13 No 2 (2023)
Publisher : Fakultas Pertanian Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/AJoAS.2023.v13.i02.p09

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Erosion Level Analysis and Conservation Planning Based on Geographic Information Systems in Rendang District, Karangasem Regency, Bali Province. The factor of rapid population growth leads to land conversion and slopes used as agricultural land. In Rendang District erosion can be caused by unaccordance land use with conservation principles and Regosol soil types. This study aims to determine the level of erosion and its distribution, the amount of erosion allowed and appropriate conservation planning in Rendang District. The methods used are surveys and Universal Soil Loss Equation (USLE). The result of this study are Rendang District has erosion levels from very light to very heavy, with values ranging from 0.35-809 tons/ha/year. Land unit 1, 2, 10, and 16 have very light levels with total area of 4,302.43 ha. Light levels are found in land unit 9, 13 and 17 with total area of 429.23 ha. Moderate levels are found in land unit 3, 12, 14, 15 and 18 with total area of 1,369.83 ha. Heavy levels are found in land unit 6, 7 and 11 with total area of 1,829.91 ha. Very heavy levels are found in land unit 4, 5 and 8 with total area of 1,529.32 ha. The allowed erosion value in Rendang District is 11-36.10 tons/ha/year. The recommended conservation planning is the improvement of vegetation factors and land management if the erosion is higher than the allowed erosion, otherwise it needs to be preserved.
Aplikasi Sistem Informasi Geografis untuk Identifikasi Potensi dan Kerentanan Longsor di Kabupaten Bondowoso Provinsi Jawa Timur AHMADI FAUZAN NUR RAHMAN; NI MADE TRIGUNASIH; I DEWA MADE ARTHAGAMA; MOH SAIFULLOH
Agrotrop : Journal on Agriculture Science Vol 13 No 2 (2023)
Publisher : Fakultas Pertanian Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/AJoAS.2023.v13.i02.p11

Abstract

Application of Geographic Information System for Identification of Landslide Potential and Susceptibility in Bondowoso Regency. The study was to determine the potential and susceptibility of landslides, as well as to determine the distribution of landslide points in Bondowoso Regency. This research uses a survey and scoring method which refers to PSBA UGM (2001) and BNPB (2012). The parameters used in this study were five, namely soil movement, presipitation, soil type, slope, and land use. The landslide susceptibility level is obtained by overlapping the landslide potential map and the vital land use map. The class of landslide potential in Bondowoso Regency is categorized into areas with no potential to high landslide potential. The class with no potential spread in the lowlands is 27,906.57 ha or 18.27%, the low potential class is 60,391.34 ha or 39.53%, the medium potential class is 43,803.54 ha or 28.67% and the high potential class covering an area of 20,685.32 ha or 13.54% of the total area of Bondowoso Regency. Areas with high landslide susceptibility are Grujugan, Klabang, Maesan, Pakem, and Sempol sub-districts with 50 landslide points found in the sub-district.
Aplikasi Sistem Informasi Geografis untuk Pemetaan Kerapatan Vegetasi dan Penutup Lahan Hubungannya dengan Daerah Resapan Air di Kawasan Pariwisata Ubud, Gianyar, Bali Isabella Tiurmauli; Ni Made Trigunasih; Ida Bagus Putu Bhayunagiri
Nandur Vol 3 No 3 (2023)
Publisher : Fakultas Pertanian, Universitas Udayana

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In urban environments, the land cover composition plays a crucial role in determining the hydrological processes, particularly the infiltration rate. The Normalized Difference Vegetation Index (NDVI) is widely used to assess vegetation abundance and health. This discussion paper aims to investigate the relationship between land cover types and NDVI values in the context of infiltration in urban areas. Ubud District is one of the urban and tourism areas with a population and tourism that continues to increase resulting in the conversion of land functions into residential areas, highways, and industrial development. This research employed a descriptive qualitative method, with data analysis techniques utilizing digital classification and spectral index transformation on Sentinel 2A remote sensing data from the year 2022. The results of the study revealed that areas with forest and vegetation cover, characterized by high vegetation density (values ranging from 0.59 to 0.95), contribute to favorable infiltration conditions in urban and tourism areas.Vegetation cover, as indicated by higher NDVI values, positively influences infiltration rates by improving soil structure and water absorption. Incorporating green spaces and vegetation into urban planning strategies can help mitigate stormwater runoff issues and promote sustainable stormwater management practices. However, further research is needed to comprehensively understand the complexities associated with the relationship between land cover, NDVI, and infiltration under various urban contexts.
Analisis VCI Korelasinya Terhadap Kekeringan Lahan menggunakan Data Penginderaan Jauh Multi Temporal di Kecamatan Kubu, Kabupaten Karangasem, Provinsi Bali Bintang Bayu Mahapati; Ni Made Trigunasih; I Wayan Narka
Nandur Vol 3 No 3 (2023)
Publisher : Fakultas Pertanian, Universitas Udayana

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This research analyzes drought occurrence in Karangasem Regency, specifically in Kubu District, Bali Province. Kubu District experiences drought disasters almost every year due to low rainfall and high temperatures. Decreased water supply has a significant impact on agricultural production, particularly on corn crops. To understand drought and its impacts, the Vegetation Condition Index (VCI) analysis method is employed using Landsat 8 satellite imagery. The VCI analysis results reveal significant drought occurrences in 2015, contributing to a decline in agricultural production. Data validation methods are utilized to verify the relationship between VCI and agricultural production through statistical data and field surveys. The validation confirms the adverse effects of drought on agricultural production in Kubu District. This research provides a better understanding of drought in the region and emphasizes the importance of using satellite data and VCI for drought monitoring.
Pemupukan Berimbang Spesifik Lokasi Melalui Evaluasi Kesuburan Tanah di Lahan Sawah Kecamatan Klungkung Provinsi Bali DEWA AYU PUTU SRI WAHYUNI; I DEWA MADE ARTHAGAMA; NI MADE TRIGUNASIH
Jurnal Agroekoteknologi Tropika (Journal of Tropical Agroecotechnology) Vol.12, No.1, Januari 2023
Publisher : Program Studi Agroekoteknologi, Fakultas Pertanian, Universitas Udayana

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Abstract

Location Specific Balanced Fertilization Through Evaluation of Soil Fertility Status in Rice Field, Klungkung District, Bali Province Rice is the main commodity cultivated by farmers in Indonesia, but there are obstacles in the productivity of rice plants, one of which is fertilization. Location-specific balanced fertilization is carried out to determine the application of fertilizer according to the fertility status of paddy fields so that fertilization will be more efficient. This study aims to determine soil fertility status, spatial distribution of soil fertility status, and provide site-specific balanced fertilization recommendations for paddy fields in Klungkung Sub-district area. This research using survey methods and soil tests in the laboratory and integrated using Geographic Information System (GIS). This research was initiated by spatial analyst for mapping the Land Unit (SLH) area with overlaid the thematic maps (i.e., soil types, slope, and paddy field area). Then four land unit maps were obtained, and soil samples were taken by purposive sampling and the chemical properties of the soil were analyzed including: CEC; KB; C-organic; P-total; and K-total. The results showed that the soil at the study site had three soil fertility statuses, namely low fertility status located at SLH II (Tangkas Village) with an area of 37.53 ha and SLH III (Selat Village) with an area of 46.26 ha, medium fertility status located at SLH IV (Akah Village) with an area of 36.31 ha, while high soil fertility status is located in SLH I (Jumpai Village) with an area of 96.53 ha. Parameters of low P-total and total K content in SLH II (Tangkas Village) and SLH III (Selat Village) became a limiting factor in soil fertility status, so it was necessary to add 100 kg/ha of SP-36 fertilizer, Phonska 100 NPK fertilizer kg/ha, and the addition of KCl fertilizer as much as 100 kg/ha.
Mapping eruption affected area using Sentinel-2A imagery and machine learning techniques Ni Made Trigunasih; I Wayan Narka; Moh Saifulloh
Journal of Degraded and Mining Lands Management Vol. 11 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.111.5073

Abstract

Volcanic eruptions are natural disasters with significant environmental and societal impacts. Timely detection and monitoring of volcanic eruptions are crucial for effective hazard assessment, mitigation strategies, and emergency response planning. Remote sensing technology has emerged as a valuable tool for detecting and assessing the effects of volcanic eruptions. One of the challenges in remote sensing image processing is handling large data dimensions that are difficult to address using traditional methods. Machine learning approaches offer a suitable solution to tackle these challenges. Machine learning demonstrates increasing computational capabilities, the ability to handle big data and automation. This study aimed to compare different machine learning classification algorithms, including Random Forest (RF), Support Vector Machine (SVM), Gaussian Mixture Model (GMM), and K-Nearest Neighbors (KNN). The data utilized in this study was derived from Sentinel-2A Multi-Spectral Instrument (MSI) imagery, which was tested in areas affected by the eruption of Mount Agung, Bali Province, in 2017. The results indicated that the GMM algorithm performed the best among the machine learning classifiers, achieving an Overall Accuracy (OA) value of 82.04%. It was followed by RF (78.86%) and KNN (77.55%). The areas affected by volcanic eruptions were determined by overlaying disaster-prone regions with areas mapped using the machine learning approach. The total affected area was measured as 29.89 km2, with an additional 3.31 km2 outside the designated zone. The findings of this study serve as a guideline for governmental entities, stakeholders, and communities to implement effective mitigation efforts for disaster risk reduction.
Evaluasi Kesesuaian Lahan Tanaman Pangan Pada Lahan Sawah Menggunakan Sistem Informasi Geografis di Kecamatan Sidemen, Kabupaten Karangasem, Bali Kezia Angelia Febyna Putri; Ni Made Trigunasih; I Made Mega
Nandur Vol 3 No 4 (2023)
Publisher : Fakultas Pertanian, Universitas Udayana

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Abstract

This research aims to determine the suitability of actual and potential land for food crops, limiting factors and efforts to improve them as well as appropriate land use directions in Sidemen sub-district, Karangasem. The method used in this research is a survey method and matching the data the quality/characteristics of the land with the requirements for plant growth. The food crops evaluated included rice plants, corn and soybeans. The results of the land suitability evaluation show that the actual land suitability class for food crops (rice, corn, soybeans) are classified as S3 (marginally suitable) to N (not suitable) with limiting factors such as rainfall, P- available, slope, erosion hazard and texture. For land suitability classes, potential food crops (rice, corn, soybeans) are classified as S1 (very suitable) to N (not suitable) with the limiting factors being slope and texture. Efforts to improve that can be done in overcoming the limiting factors include irrigation, applying fertilizers, and making terraces.
Co-Authors A.A.NYOMAN SUPADMA Abd. Rasyid Syamsuri Adelia Novita Marampa Agustina, I Komang Yudi AHMADI FAUZAN NUR RAHMAN AI Nyoman Sunarta Anak Agung Istri Agung Pramesti Anastasia Febriana Apriadi, Putu Agung Artanaya, I Wayan Bintang Bayu Mahapati DEWA AYU CHYNTIA ANGELINA DEWA AYU PUTU SRI WAHYUNI DIBIA I N Dita Ayu Lorenza DJIAN NILAM SARI Dwiki Sinatrya Putra Fadilah Triani Putri Febrin Sidabutar GEDE WIJANA Girsang, Giyo Brem Dana Gusti Ngurah Alit Susanta Wirya I DEWA MADE ARTHAGAMA I DEWA MADE ARTHAGAMA I Gede Ketut Susrama I Ketut Suada I MADE ADNYANA I Made Mega I Made Mega I Made Mega I Nengah Netera Subadiyasa I Nyoman Dibia I NYOMAN MERIT I NYOMAN RAI I NYOMAN SUNARTA I NYOMAN WIJAYA I WAYAN NARKA I WAYAN NARKA I Wayan Narka I Wayan Narka I Wayan Narka I WAYAN SEDANA I.D.M. Arthagama I.N. Dibia I.N. Sunarta Ida Bagus Putu Bhayunagiri IMAS CAHYANINGTIYAS INDAYATI LANYA Irene Levina Yulianti Sinaga Isabella Tiurmauli Jencristy Gilberd Sitanggang Josua Sintong Martin Hutauruk KARTIKA DEWI OKTAFIANTI Kezia Angelia Febyna Putri M D DANA MADE SRI SUMARNIASIH MADE SRI SUMARNIASIH Made Sri Sumarniasih Made Sri Sumarniasih MOH SAIFULLOH Moh Saifulloh moh saifulloh, moh Nahak, Senon Apriyanto Nalle, Margiman S. NI KADEK ARY KRISNAYANTI Ni Luh Kartini Ni Made Ely Ariani NI NENGAH SONIARI NI NYOMAN ARI MAYADEWI NI PUTU UTARI HANDAYANI Nyoman Bintang Kartika Sari Pramudita, I Gede Made Prananda Yogathama Pribadi Putu Perdana Kusuma Wiguna Putu Perdana Kusuma Wiguna Putu Perdana Kusuma Wiguna RENI ANDRIANI NAIBAHO Risky Novelin Simatupang SISKA MAILASARI SUMARNIASIH, MADE SRI T. Kusmawati TATIEK KUSMAWATI THRESIA ADHISYA SITORUS UTAMA, I WAYAN EKA KARYA VANDANI, YAYAN WIDHIANTHINI WIDHIANTHINI Wiraatmaja, Wayan WIYANTI WIYANTI YUDHA, I KADEK WISMA