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PREDIKSI EROSI, KLASIFIKASI KEMAMPUAN LAHAN DAN ARAHAN PENGGUNAAN LAHAN DI KECAMATAN BATURITI KABUPATEN TABANAN PROVINSI BALI I Wayan Suarsana; I Nyoman Merit; I Wayan Sandi Adnyana
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 10 No 2 (2016)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJES.2016.v10.i02.p11

Abstract

Land resource damage caused by the land conversion and land use without regard to principles of conservation of soil and water. The damage resulted in the erosion is very high. Changes in land use without regard to principles of conservation of soil and water is currently happening in Baturiti District. Given this research can determine the level of erosion, soil and water conservation planning, land capability classification and proposed land use in Baturiti District. Erosion prediction using USLE (Universal Soil Loss Equation) to estimate the rate of erosion and also to get an idea the determination of soil and water conservation measures appropriate to the region. Determination of the land capability classification method Arsyad (1989) is by classifying land capability to classify land capability class based on the value of the limiting factor of land that is adjusted with land capability classification criteria. Determining of the proposed land use using the scoring method by combining the slope factor of the field, the soil sensitivity of the against erosion and the intensity of daily rainfall. Soil sampling is done by taking a total of 19 soil samples from a unit of land. The prediction results on each unit of land erosion in the area showed the level of erosion is very light covering an area of 11,70 ha, mild erosion area of 5.221,56 ha, erosion was an area of 88,10 ha, severe erosion area of 616.20 ha and very severe erosion area of 2.195,39 ha. Soil and water conservation measures required on land units with erosion prediction value exceeds the value erosion that can be tolerated so that the value could be below the value erosion erosion can be tolerated. Capability classification of the land in the study area consists of land capability class II with an area of 1489,39 ha, class III area of 827,39 ha, class IV with an area of 830.15 ha, class VI area of 1.373,79 ha, class VII covering 1.453,92 ha, class VIII covering an area of 2.176,31 ha. Tutorial use of land for the forest department is directed to the protected forest area covering an area of 2.458,00 ha. Tutorial use of land outside the forest area to protected area 1079.81 ha (13,27%), a buffer zone covering an area of 1.662,31 ha, annual crop cultivation area covering an area of 844.86 ha and seasonal crops cultivation area covering an area of 2.087,97 ha.
ANALISIS RISIKO BENCANA TANAH LONGSOR DI KECAMATAN SUKASADA, KABUPATEN BULELENG I Wayan Gede Eka Saputra; I.P.G. Ardhana; I Wayan Sandi Adnyana
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 10 No 1 (2016)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (239.866 KB) | DOI: 10.24843/EJES.2016.v10.i01.p09

Abstract

Sukasada Sub-District is a region that is largely a hilly area with steep slopes, rainfall intensity is high enough and unstable ground conditions. This leads that the Sub-District of Sukasada becomes potential for the occurrence of landslides. Mitigation effort is therefore necessary to reduce the risk of landslides that may occur. The purpose of this study was to determine the level of threats, vulnerabilities and capacities of level landslides in Sub-District of Sukasada. In addition to the above objectives, the study also aims to formulate strategies for disaster risk reduction of landslides in the Sub-District of Sukasada. The results showed the threat of landslides in the Sub-District of Sukasada is covering 11.169 hectares or 69,51% of the total area. High threat level area is around 727 hectares, the threat level is covering 7.717 hectares and a low threat level area is around 2.725 hectares. The level of vulnerability of landslides in Sub- District of Sukasada ranges from moderate to high. The highest vulnerability level (0.83) is located in some villages, such as: Pancasari, Pegayaman, Panji and Panji Anom Village. While the lowest level of vulnerability (0.66) is in Padangbulia Village. The level of local capacity to landslides in the Sub-District of Sukasada is low, with the resistance area index of 40,25 or capacity level of 0,2349. The level of risk of landslides in the Sub-District of Sukasada is classified as moderate to high. Areas with moderate risk levels are covering 2.032 hectares and a high level of risk covering 7.171 hectares. Strategies that can be done to cope with disaster risk are to reduce the threat, reduce vulnerability and increase capacity. Areas with moderate risk level can be done non-structural mitigation. Structural mitigation can be done in areas with a high level of risk.
Studi Eutrofikasi Akibat Aktivitas Penggunaan Lahan di Danau Buyan Ida Bagus Ketut Gede Kertia; I Wayan Arthana; I Wayan Sandi Adnyana
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 12 No 2 (2018)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (969.001 KB) | DOI: 10.24843/EJES.2018.v12.i02.p04

Abstract

ABSTRACT EUTROPHIC STUDY TO EVALUATE THE IMPACT OF LAND USE ACTIVITY IN BUYAN LAKE Increased in land use activity in Buyan Lake catchment area can be a threat to multifunction of the lake. Identification the impact due to land use activity is to important of lake management. This study aims to know the land use and its activities, predicted the yield of sediment and nutrient losses, and knew of trophic state for the lake. The Lake Buyan catchment area is 1,943.8 ha. This research use survey method and in situ and ex situ measurement from March to May 2017. Type of data collected were land use and its activities, C-organic and soil nutrient, and variables of trophic state for the lake. This study showed that dryland vegetables crops with bench terrace by low standard contruction, shrub with grass, and coffee plantation with traditional terrace with area each of 71.9 ha (3.7%), 43.0 ha (2.2%), and 25.4 ha (1.3%) respectively has an erosion of higher than tolerable soil loss. The sediment yield and C-organic, nitrogen, phosphate and potassium losses with the amount each of 9,399.4, 266.6, 14.5, 15.8, and 58.7 ton year-1 respectively, and with soil and water conservation practices is very effective to reduced the sediment yield and C-organic, nitrogen, phosphate and potassium losses with the amount each of 3,160.1, 89.6, 4.9, 5.3, and 19.7 ton year-1. Average of nitrogen, phosphate, chlorophyll a, and tranparency with the value each of 3,500, 118.4, 48.2 µg L-1 and 1.8 m showed that trophic state for Buyan Lake is euthrophic until hypereuthrophic, and a moderate euthrophic indicated from the average TSI with the value of 64.3. Key words : Buyan Lake, land use, erosion, sediment yield, eutrophic
MONITORING MANGROVE AREA IN BENOA BAY USING LANDSAT TM AND ETM + DATA Ni Luh Made Ari Sugianthi; I Wayan Arthana; I Wayan Sandi Adnyana
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 2 No 1
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1196.189 KB)

Abstract

Mangrove ecosystems are crucial for the management of some coastal resources in Indonesia. Thisresearch used Landsat TM 1994, Landsat ETM+ 2002 with the purpose to know mangrove area change foreight years, mangrove density and accuracy of image as source of data to mangrove area in Benoa Bay. Fromimage analysis that using maximum likelihood method, the mangrove is classified into 3 classes i.e.:mangroves with high density, medium density and low density. For the ground check, used single plotmethod by using 6 trees.The extent of mangrove area in Benoa Bay were 447.69 ha in 1994 and 622.08 ha in 2002. Thechange of the extent of mangrove area during 8 years (1994 – 2002) increased by 174.41 ha. The area ofdensities in 1994, high density was 225.15 ha, medium density was 122.48 ha and low density was 130.05ha. In 2002, high density was 262.8 ha, medium density was 265.95 ha, and low density was 133.30 ha.Based on the regression analysis between mangrove density and the value of interpretation, the density ofmangrove in Benoa Bay which the criteria of high density is 364.723 – 466.311 tree/ha, medium density is237.738 - 364.723 tree/ha and low density is 186.944 – 237.738 tree/ha. The determination coefficient (r2)was 0.6312. Based on the regression analysis in 2002 used in interpretation of mangrove density in 1994,which the criteria of high density is 357.10 tree/ha –316.47 tree/ha, medium density is 273.29 tree/ha –316.47 tree/ha and low density is 252.98 tree/ha –273.29 tree/ha.The accuracy of the Landsat ETM+ 2002 for mangrove area classification in Benoa Bay was 90%.These values were above the acceptable limit of accuracy stated of 80 %, so that this classification accuracywas acceptable.
ANALISIS PERUBAHAN PENGGUNAAN LAHAN DAN DAMPAKNYA TERHADAP HASIL AIR DI DAS CISADANE HULU Nilda Nilda; I Wayan Sandi Adnyana; I Nyoman Merit
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 9 No 1 (2015)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.877 KB) | DOI: 10.24843/EJES.2015.v09.i01.p05

Abstract

Air merupakan salah satu kebutuhan dasar yang sangat penting bagi manusia. Terdapat beberapa faktor utama penyebab perubahan sumber daya air, diantaranya adalah perubahan penutupandan pengelolaan lahan yang meningkatkan kekedapan lahan.Salah satu tujuan pengelolaan DAS adalah mencapai kondisi tata air optimal yang dapat dikenali dari sifat aliran sungai. Penelitian ini bertujuan untuk: (1) mengetahui distribusi perubahan penggunaan lahan yang terjadi di wilayah DAS Cisadane Hulu dari tahun 2003 sampai 2010; (2) mengetahui perubahan hasil air akibat distribusi perubahan penggunaan lahan. Daerah kajian penelitian adalah DAS Cisadane Hulu dengan luasan sekitar 22.288,01 ha. Penelitian dilakukan melalui dua tahap yaitu analisis perubahan penggnaan lahan dan prediksi aliran dengan model HEC-HMS. Dalam penelitian ini digunakan peta pengunaan lahan dari BIG (Badan Informasi Geospasial) tahun 2003 dan Peta Penggunaan Lahan tahun 2010 hasil interpretasi Citra ALOS. Selanjutnya kedua peta tersebut dianalisis dengan metoda tabel silang (cross tabel) untuk memperoleh data perubahan penggunaan lahan dari setiap kelas penggunaannya. Kedua data series penggunaan lahan ini digunakan sebagai input pada model prediksi debit aliran HEC-HMS. Selanjutnya dibangun juga skenario-skenario untuk melihat dampak perubahan lahan terhadap debit aliran di DAS Cisadane Hulu. Metode bilangan kurva (SCS-CN) dipilih untuk menghitung besar curah hujan efektif, yaitu dari pengurangan curah hujan bruto dengan berbagai bentuk kehilangan air (loss). Transformasi dari curah hujan efektif menjadi hidrograf aliran langsung (direct runoff) diperoleh dengan menggunakan metode hidrograf satuan SCS Curve Number. Selama kurun waktu 2003 – 2010 terjadi perubahan penggunaan lahan di DAS Cisadane Hulu. Luas Hutan bertambah 223,78 ha, pemukiman 214,78 ha, rumput/tanah kosong 85, 73 ha, dan gedung 12, 64 ha. Terjadi penguarangan luas semak belukar 225,64 ha, tegalan/ladang 145,92 ha, sawah irigasi 124, 92 ha, sawah tadah hujan 30,67 ha, dan kebun/perkebunan 9,92 ha. Hasil dari simulasi dengan menggunakan peta penggunaan lahan tahun 2010 didapatkan nilai debit puncak (Qp) sebesar 81.73 m3/detik. Nilai volume puncak (Vp) sebesar 2,310.7 mm dan Waktu Puncak (Tp) pada hidrograf aliran yang dihasilkan model terjadi pada tanggal 26 Maret 2010. Secara umum terjadi peningkatan debit puncak antara penggunaan lahan tahun 2003 dengan 2010. dari 81.22 m³/detik menjadi 81.73 m³/detik. Naiknya debit puncak disebabkan meningkatnya aliran permukaan akibat perkembangan pemukiman di DAS.Hal ini terlihat dengan meningkatnya nilai CN rata-rata dari 38.5 menjadi 39.4.Pada simulasi dengan penggunaan lahan tahun 2010 didapatkan hasil airsebesar 2.310,7 mm/tahun.Nilai ini lebih kecil dari simulasi dengan penggunaan lahan tahun 2003 yaitu 2.320,1 mm/tahun. Salah satu penyebab berkurangnya hasil air dapat dikarenakan penguapan yang meningkat akibat bertambahnya luasan hutan. (banyaknya pemanfaat air tanah disekitar DAS tersebut, baik legal maupun ilegal).
SHORELINE CHANGE ANALYSIS USING DIGITAL SHORELINE ANALYSIS SYSTEM METHOD IN SOUTHEAST BALI ISLAND Fajar Lukman Hakim; Takahiro Osawa; I Wayan Sandi Adnyana
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 15 No 1 (2021)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJES.2021.v15.i01.p06

Abstract

Based on data from the Bali Public Works Office, in 1987 the abrasion reached 51.50 km, in 2003 it reached 86.5 km, and in 2006 it increased to 140 km. Coastline change research is needed for coastal environmental protection, mitigation, and sustainable development. The objectives of this research are: 1) To predict wind speed and direction for the last 30 years; 2) To measure changes in coastlines over the last 30 years (1989-2020); and 3) Comparison of changes in coastline in 4 periods 1989-2000; 2000-2010; 2010-2020 and 2016-2020. Digital Shoreline Analysis System (DSAS) is a method that works on ArcGIS software which is used to calculate shoreline changes based on time statistics and a geospatial basis. The results of the average EPR in 1989-2000 (Landsat imagery), the average abrasion value was -10.43 m/y and the average accretion value was 2.35 m/y; 2000-2010 the average value of EPR abrasion was -2.61 m/y and the average accretion value of 2.65 m/y; in 2010-2020 the average EPR abrasion value was -2.72 m/y and the average accretion value was 1.60 m/y while in 2016-2020 (Sentinel Image) the average abrasion value was -4.32 m/ y and the average value of its accretion is 4.50 m/y. The conclusion of this study 1) The average wind speed ranges from 0.2 to 6.4 m/s. Wind direction shows the dominance of the Australian continent (southeast). This shows that the east monsoon is more dominant than the west monsoon; 2) In the last 30 years (1989-2020) shoreline changes can be seen from the EPR graph with an average abrasion rate of -6.39 m/ y and an accretion rate of 3.15 m/y; and 3) Identification results from 1989-2000 the villages of Padangbai and Ketewel experienced extreme accretion and high abrasion; 2000-2010 Padangbai and Jumpai villages experienced high accretion and abrasion; In 2010-2020, Jumpai and Gunaksa Villages experienced high abrasion and moderate accretion, while 2016-2020 experienced high abrasion and accretion in Tangkas and Gunaksa Villages. For further research, it can include additional variables such as tide and wave data to get better results.Keywords: DSAS, NSM, EPR, Shoreline Changes, Abrasion, Accretion
STUDI ANALISIS KUALITAS AIR DI DAERAH ALIRAN SUNGAI PAKERISAN PROVINSI BALI ketut asrini; I Wayan Sandi Adnyana; I Nyoman Rai
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 11 No 2 (2017)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (171.949 KB) | DOI: 10.24843/EJES.2017.v11.i02.p01

Abstract

Pakerisan watershed is used by the people for various purposes to meet the daily needs for water and it is also for irrigation water. The aim of research was to determine the water quality related to human activities and the pollution index. Water sampling was conducted in the nine sample points i.e. upstream of two sample points, in the middle of four sample points, and in the downstream of three sample points. Sampling was done by purposive sampling. Determination of water quality was carried out by comparing the measured data of each parameter of water with the value of quality standards based on the Bali Governor Regulation Number 08 of 2007, while the definition of the status of water quality was done by the pollution index method. The results showed that the activities that affect the water quality physically, chemically and biologically at the upstream to downstream are farming activities, settlements, tourism and trade. In the upstream showed no parameters that exceeded the quality standards, the variables of BOD, COD, phosphate, fecal coli and total coli exceeded the quality standards and in the downstream, the BOD, fosfat and fecal coli exceeded the quality standards. The pollution index found in the upstream region good condition, whereas in the middle was classified as heavily polluted until the downstream was lightly polluted.
STATUS KUALITAS AIR DI KAWASAN PARIWISATA NUSA PENIDA Nyoman Sudipa; Made Sudiana Mahendra; Wayan Sandi Adnyana; Ida Bagus Pujaastawa
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 14 No 2 (2020)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJES.2020.v14.i02.p08

Abstract

Environmental water quality is very influential on environmental sustainability and tourism in the Nusa Penida Tourism Area. Changes in environmental water quality are influenced by human activities in utilizing environmental resources. As a developing tourism area, Nusa Penida has a source of environmental water from springs, groundwater and has marine waters with biodiversity that become underwater paradise. The method used by analyzing water quality uses a standardized quality approach based on Bali Governor's Regulation No. 16 of 2016 concerning Environmental Quality Standards and Environmental Damage Quality Criteria and to find out the water pollution index using the approach of the Decree of the Minister of Environment No. 51 of 2004, then compared with environmental water quality using environmental water quality tests that have been carried out in the Study of Analysis Regarding the Environmental Impact of the Nusa Penida Tourism Area in 1998.Tests for the quality of sea water, well water and spring water in 2019 each showed relatively better results compared to the results of quality tests for sea water, well water and spring water in 1998. Influential parameters The index of sea water pollution, well water and spring water in Nusa Penida are turbidity parameters, free ammonia (NH3-N) dissolved residue (TDS) and total coliform, respectively.Keywords: environment; quality; water; tourism; Nusa Penida.
ESTIMASI PRODUKSI PADI DENGAN ANALISIS CITRA SATELIT LANDSAT 8 DI KABUPATEN KLUNGKUNG PROVINSI BALI Made Arya Bhaskara Putra; I Wayan Nuarsa; I Wayan Sandi Adnyana
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 12 No 1 (2018)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (293.06 KB) | DOI: 10.24843/EJES.2018.v12.i01.p12

Abstract

Rice crop is one of the important commodities that must always be available, so estimation of rice production becomes very important to do before harvesting time to know the food availability. The technology that can be used is remote sensing technology using Landsat 8 Satellite. The aims of this study were (1) to obtain the model of estimation of rice production with Landsat 8 image analysis, and (2) to know the accuracy of the model that obtained by Landsat 8. The research area is located in three sub-districts in Klungkung regency. Analysis in this research was conducted by single band analysis and analysis of vegetation index of satellite image of Landsat 8. Estimation model of rice production was developed by finding the relationship between satellite image data and rice production data. The final stage is the accuracy test of the rice production estimation model, with t test and regression analysis. The results showed: (1) estimation of rice production can be calculated between 67 to 77 days after planting; (2) there was a positive correlation between NDVI (Normalized Difference Vegetation Index) vegetation index value with rice yield; (3) the model of rice production estimation is y = 2.0442e1.8787x (x is NDVI value of Landsat 8 and y is rice production); (4) The results of the model accuracy test showed that the obtained model is suitable to predict rice production with accuracy level is 89.29% and standard error of production estimation is + 0.443 ton/ha. Based on research results, it can be concluded that Landsat 8 Satellite image can be used to estimate rice production and the accuracy level is 89.29%. The results are expected to be a reference in estimating rice production in Klungkung Regency.
STUDY OF LAND USE CHANGES AND ITS RELATIONSHIP WITH TEMPERATURE AND DENGUE FEVER IN 2003 AND 2016 OVER JAKARTA PROVINCE USING LANDSAT 7+ETM AND LANDSAT 8 OLI risya lailarahma; I Wayan Sandi Adnyana
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 12 No 1 (2018)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.384 KB) | DOI: 10.24843/EJES.2018.v12.i01.p03

Abstract

Land use changes over Jakarta caused by urbanization affected the increasing of infrastructure and decreasing vegetation from 2003 to 2016. This condition reduced water infiltration and caused inundation when heavy rainfall coming. Then Aedes aegypti would breed.and increased which brought dengue fever desease. This study was about analyzing the land use change in Jakarta Province using Landsat image, and its relationship with land surface temperature and dengue fever distribution. The effects of land use change also analysed by this study which including the effects from temperature and dengue fever that analysed by indices of land use in Jakarta at 2003 and 2016. The temperature analysis could be obtained by TIR band in Landsat and using some algortitma which calculated in band math of ENVI software. Vegetation index value’s average decreased from 0.652 in 2003 to 0.647 2016 in 2016. Built up index value’s average increased from -0.03 in 2003 to -0.02 in 2016. While Bareland index value’s average decreased from 0.16 in 2003 to -0.46 in 2016. Land surface temperature increased 3?C from 2003 to 2016. Vegetation area decreased 27.929 ha, bare land area decreased 6.012 ha, while built up area increased 34.278 ha from 2003 to 2016. Increasing of land surface temperature proportional to increasing dengue fever patients 1.187 patients. Increasing of land surface temperature increasing dengue fever cases 1.187 patients. To review and monitor more about the relationship between landuse changes and temperature changes required image with high resolution so that the results obtained more accurate. Complete data of dengue fever per subdistricts also required to analyse further more about relationship between landuse changes, temperature changes, and dengue fever.