Abd. Rahman As-syakur
Faculty of Marine Science and Fisheries, Udayana University, Bukit Jimbaran, Bali

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PEMETAAN KESESUAIAN IKLIM TANAMAN PAKAN SERTA KERENTANANNYA TERHADAP PERUBAHAN IKLIM DENGAN SISTEM INFORMASI GEOGRAFI (SIG) DI PROVINSI BALI As-syakur, Abd. Rahman; Suarna, I Wayan; Rusna, I Wayan; Dibia, I Nyoman
Pastura : Jurnal Ilmu Tumbuhan Pakan Ternak Vol 1 No 1
Publisher : Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.575 KB) | DOI: 10.24843/Pastura.2011.v01.i01.p03

Abstract

Forage is one of the supporting factors in planning animal production. Climate condition is one factor which influence forage production. This research attempted to map the class suitability of climate for seven forage species in Bali province and to analysis the level of vulnerability toward climate changes by using Geography Information System (GIS). The results showed that four from seven species observed have class suitability with climate S1. Rain climate factor was the important factor which was influence the climate unsuitability of forage in Bali province. The effect of climate change, such as La Nina 1998 caused positive and negative impacts towards the distribution of class suitability of climate at that year. The incident of La Nina caused the reduction of area of class suitability of S1, S2, and N climate, meanwhile increase the area of class suitability of S3 climate. On the other hand, some location of climate suitability class also changed due to climate change.
IDENTIFIKASI HUBUNGAN FLUKTUASI NILAI SOI TERHADAP CURAH HUJAN BULANAN DI KAWASAN BATUKARU-BEDUGUL, BALI As-syakur, Abd. Rahman
Bumi Lestari Journal of Environment Vol 7, No 2
Publisher : Udayana University

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Abstract

The issue dealing with climate changes has been becoming more stressed out along with more frequent of the occurrence of extreme weather as a consequence of anomaly climate. Examples of anomaly climate that often related to extreme weather are El Nino and La Nina. One of methods to find out the condition of El Nino and La Nina is by observing SOI values. Methods utilized in this research were by collecting rainfall data and SOI values along with regresion analyses to observe the determination coefficient values (R2). Results of this research showed that the rainfall variability on the research area did not affect fluctuations of SOI values on rainy seasons except in Munduk, while on dry seasons it was very clear shown, except in Gitgit. On the transition period, the influence of SOI values on rainfall variability was seen differ on every rain stations. On the first transition period (April), the fluctuation of SOI values had seen clearly being influenced on Baturiti’s rain station and was not influenced on Gitgit’s rain station. On the second transition (October), the influence of SOI values has affected Munduk rain station and did not influence that on Candikuning rain station. The research’s location that covered an area with monsoon rain paterns, the presence of Walker cycles, and ITCZ were also affected the results.The position of rain stations on a certain topography or location also influenced rainfall variability, so it can cause the difference on SOI values on each season.
PERUBAHAN PENGGUNAAN LAHAN DI PROVINSI BALI As-SYAKUR, Abd. RAHMAN
Ecotrophic: Journal of Environmental Science Vol 6, No 1 (2011)
Publisher : Udayana University

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Abstract

Research on land use change is very important to do in this time, because the land use change has an impacton physical and social environment. The purpose of this research is to determine the land use change in Baliprovince using satellite imagery data and GIS. Methods of this research are comparing the two data distribution ofland use in 2003 and 2008 obtained from interpretation of Landsat ETM+ (JICA, 2005) andALOS/ AVNIR-2.On-screen method is used to ALOS/ AVNIR-2 image data interpretation. Land use has changed between 2003and 2008. Settlements and irrigated ricefield is the most extensive land use changes, that are 2.553 ha and 2.553ha. W hereas the salting land use has not changed. Spatial representation shows in the south and central partof Bali Province is the region that have most experienced changes. Denpasar city and Badung Regency is twoadministrative regions which have most extensive experience in land use change.
Spatio-Temporal Variations of Rainfall and SST Anomaly over Indonesia during ENSO Modoki Event in 2010 As-syakur, Abd. Rahman
Journal of Marine and Aquatic Sciences Vol 1, No 1 (2015)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

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Abstract

Remote sensing application is one of the best data to observing spatial and temporal situation on earth surface. Application of Tropical Rainfall Measuring Mission (TRMM) and MODIS (Moderate Resolution Imaging Spectro-radiometer) are use for spatial and temporal analysis of rainfall and sea surface temperature (SST) anomaly over Indonesia in 2010. Spatial and temporal rainfall and SST anomaly data is important, especially during El Niño–Southern Oscillation (ENSO) Modoki events, because has wide effect of social and economy in Indonesia. Monthly rainfall data measured by the TRMM 3B43 over the course of 13 years and Monthly SST collected by the MODIS was employed to analyze anomaly of rainfall and SST over Indonesia during ENSO Modoki Event in 2010. In spatio-temporal seen confirmed during ENSO Modoki in 2010 indicate an anomaly has occurred on rainfall and SST over Indonesia. The result shows that increasing of rainfall anomaly begin from April in Nusa Tenggara archipelago and eastern of Java and finish in November in those region. Meanwhile, analysis result of MODIS satellite data for SST anomaly is shown at the beginning of 2010, SST anomaly begin occurred in western of Indonesia and the biggest was happen in southern of Indonesia at August to September and finish at November. Spatio-temporal analysis TRMM dan MODIS data shows that increasing of SST anomaly could affect increasing of rainfall anomaly in those same regions excepted in January to March.
APLIKASI SISTEM INFORMASI GEOGRAFI BERBASIS DATA RASTER UNTUK PENGKELASAN KEMAMPUAN LAHAN DI PROVINSI BALI DENGAN METODE NILAI PIKSEL PEMBEDA Adnyana, I Wayan Sandi; As-syakur, Abd. Rahman
Jurnal Manusia dan Lingkungan (Journal of People and Environment) Vol 19, No 1 (2012)
Publisher : Pusat Studi Lingkungan Hidup Universitas Gadjah Mada

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Abstract

Penggunaan teknologi seperti SIG sangat baik untuk mengelompokkan data keruangan lahan berdasarkan faktor potensi dan penghambat penggunaannya. Dengan mengimprovisasi metode tumpang susun diharapkan mampu mempercepat proses studi tentang pengkelasan kemampuan lahan. Tujuan penelitian ini adalah pengaplikasian SIG berbasis data raster untuk memetakan kelas kemampuan lahan di Provinsi Bali dengan menggunakan metode ”nilai piksel pembeda”. Hasil penelitian menunjukkan bahwa penggunaan SIG dapat memperlihatkan sebaran kelas kemampuan lahan yang heterogen dan kompleks sehingga memperjelas informasi lahan pada satuan unit lahan yang sempit. Selain itu penggunaan metode ini juga membantu mempercepat proses tumpang susun dan query data. Kelas kemampuan lahan di Provinsi Bali dapat dikelompokkan menjadi 8 kelas, dari kelas I sampai kelas VIII. Sebaran kelas kemampuan lahannya didominasi oleh lahan dengan kelas VI, VII dan VIII yaitu seluas 50,7% dari luas Provinsi Bali. Kabupaten Buleleng, Jembrana, dan Karangasem berturut-turut merupakan daerah-daerah terluas yang memiliki kemampuan lahan kelas VIII. Daerah-daerah tersebut harus lebih instensif dalam menjaga lahan-lahan berkelas VIII agar tidak beralih fungsi dari lahan hutan menjadi lahan non hutan.
PEMETAAN DAERAH RAWAN KEKERINGAN DI BALI-NUSA TENGGARA DAN HUBUNGANNYA DENGAN ENSO 2) MENGGUNAKAN APLIKASI DATA PENGINDERAAN JAUH Nuarsa, I Wayan; Adnyana, I Wayan Sandi; As-syakur, Abd. Rahman
Bumi Lestari Vol 15, No 1 (2015)
Publisher : Udayana University

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Abstract

In this study, the use of SPI (Standardized Precipitation Index) combined with remote sensingdata is performed to map vulnerable drought areas in Bali-Nusa Tenggara regions. Analysisalso carried out to find the relationship between Vulnerable drought areas in Bali-NusaTenggara with El Niño phenomena. Bali-Nusa Tenggara islands are a chain of islands thathas a semi-arid climate type and resulted vulnerable to meteorological drought. Therefore,mapping of vulnerable drought areas in the region necessary to be carried out. The spatialpattern of the annual average value of SPI-6 in Bali Nusa Tenggara areas in 1998-2010indicates the spatial distribution follows the ENSO events. It also indicated in the spatialpattern relationship between ENSO and SPI in Bali-Nusa Tenggara islands. This studyindicates that remote sensing data such as TRMM 3B43 has the capability to be used as adata source to analyze the spatial patterns of vulnerable drought areas, particularly in theBali-Nusa Tenggara Islands. In addition, the TRMM data also possible to be used as a datasource to analyze the vulnerable drought areas in other parts of Indonesia.
Validasi Nilai Erosivitas Hujan Dari Data Penginderaan Jauh TRMM 3B42 Di Bali Selatan Adnyana, I Wayan Sandi; As-syakur, Abd. Rahman
Bumi Lestari Vol 16, No 1 (2016)
Publisher : Udayana University

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Abstract

Rainfall erosivity is a measure for the erosive force of rainfall. Rainfall kinetic energydetermines the erosivity and is in turn greatly dependent on rainfall intensity. Research hasbeen conducted to validate monthly rainfall erosivity derived from the Tropical Rainfall MeasuringMission (TRMM) Multisatellite Precipitation Analysis(TMPA)3B43 version 7 usingraingauge data analysis from 2003 to 2012. Rain gauge located in the south Bali regions wereemployedto monitor erosivity value from two different methods that are base on Bols (1978)andAbdurachman(1989). Therelationship of erosivity and their other factor from TRMM3B43andrain gauge data statistical analysis measures consisted of the linear correlation coefficient,themean bias error (MBE), and the root mean square error (RMSE). Data validation wasconductedwith point-by-point analysis. The results of these analyses indicate that satellitedatahave lower values than the gauge estimation values. The point-by-point analysis indicatedsatellite data values of high to very high correlation, while values of MBE and RMSEtendedto indicate underestimations with high square errors. Moreover,monthly rainfall erosivityderived from TRMM give high correlation from both methods, with has high bias androot-mean-squareerror. In general, the data from TRMM3B43 version 7 are potentially usabletoreplace rain gauge data based on erosivity estimation, but after inconsistencies and errorsaretaken into account.
CO2 FLUX IN INDONESIAN WATER DETERMINED BY SATELLITE DATA Ekayanti, Ni Wayan; as-syakur, Abd. Rahman
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 8, (2011)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1245.898 KB) | DOI: 10.30536/j.ijreses.2011.v8.a1736

Abstract

The oceans was considered to be a major sink for CO2. The improving of quantitative and qualitative description about the ability of sea in uptaking or emitting CO2 is a great scientific concern in meteorological and climatological science. Measurement of the ability of sea in uptake or emitting CO2 could determined by measuring the CO2 exchange coefficient on sea interface and the measuring the different partial pressure of CO2 between the air and sea. In this study, CO2 flux distribution of Indonesian waters in 2007 to 2009 was computed using monthly CO2 exchange and the different partial pressure of CO2 estimated from wind speed, salinity, SST, and sea characteristic, which were obtained from satellite data. The carbon dioxide flux thus was estimated and discussed by two different designs of transfer velocity (k), of Wanninkhof (1992), kW92 relationship and by Nightingale et al. (2000), kN, relationship. The result indicated that generally, Indonesian water was emitting the CO2 to the air. Average CO2 emitting from sea to the air for recent year in 2007 to 2009 are 3.80 (mol m-2year-1) and 2.85 (mol m-2year-1) with kW92 relationship and kN relationship calculation, respectively. The total average CO2 emission from sea to the air in 2007 to 2009 for the Indonesian waters areas are 0.15 (PgC year-1) and 0.12 (PgC year-1) based on kW92 relationship and kN relationship calculations, respectively. Keywords: CO2 flux, salinity, SST, sink and sources of CO2.
THE IMPACT OF CLIMATE CHANGE ON THE AGRICULTURAL SECTOR IN BALI PROVINCE Sudarma, I Made; As-syakur, Abd. Rahman
SOCA: Jurnal Sosial Ekonomi Pertanian Vol.12, No.1, Desember 2018
Publisher : Program Studi Agribisnis, Fakultas Pertanian, Universitas Udayana Jalan PB.Sudirman Denpasar, Bali, Indonesia. Telp: (0361) 223544 Email: soca@unud.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.575 KB) | DOI: 10.24843/SOCA.2018.v12.i01.p07

Abstract

Climate change is an unavoidable thing due to global warming which has a wide impact on various aspect of life. Changes of rainfall patterns, increas of the frequency of extreme climate and an increase in air and sea levels are serious impacts of climate change that will affect the agricultural sector. For Indonesia, the threat of climate change will have a serious impact on achieving sustainable developmenttargets. For the Bali Province, climate change causes disruption of water supply for various sectors, including agriculture sector. This is indicated by the decrease of land area that was very suitable for paddy rice untill 20% as long in the period 1990-2009. Due to changes in rainfall by climate change, the current cropping pattern of rice must also be adjusted. In an effort to address climate change, can be done through the plant of low emission varieties, use of organic fertilizers, adjusting cultivation techniques through water and land management and socializing the importance of agricultural insurance for  educing farmers' risk due to climate change.
Integrasi Teknologi Pengideraan Jauh dan Sistem Informasi Geografis untuk Estimasi Serapan dan Emisi CO2 di Kota Denpasar Nuarsa, I Wayan; As-syakur, Abd. Rahman; Gunadi, I Gusti Alit; Sukewijaya, I Made
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 (71.575 KB) | DOI: 10.24843/EJES.2018.v12.i02.p12

Abstract

Integration of Remote Sensing Technology And Geographic Information Systems for Estimation of CO2 Updake and Emissions in Denpasar City Rapid economic growth in the Denpasar City has an impact on the rate of population growth. This will lead to increasing land requirements for settlements, infrastructure, and other supporting facilities. Meanwhile, the availability of land for green open space (RTH) will decrease. Several studies show that from year to year the area of ??vegetation cover decreases, and the air temperature in Denpasar City is increasing. Therefore, research to calculate CO2 uptake by urban plants and CO2 emissions from various activities in the city of Denpasar is needed to be done. Estimates of CO2 uptake by plants are carried out using remote sensing technology and GIS. Meanwhile, the calculation of CO2 emissions is carried out by an inventory of CO2 pollutant sources from point sources, areas sources, and mobile sources. The output of this study is a distribution map of CO2 absorption and emissions. From the map it can be seen whether the CO2 emissions of Denpasar City are higher than the ability of existing plants to absorb them. The results showed that the ability of plants in Denpasar as a green open space to absorb CO2 was 235,780.63 tCO2/year, while total emissions from pollutant sources were 862,955,856 tCO2/year. The sources of CO2 emissions include from point source 37,649 tons/year, from source area 95,310 tons/year, and from mobile sources at 862,955,856 tons/year. From the movable source the biggest contributor to CO2 emissions is light vehicles, which amounted to 540,355.88 tons/year (62.63%), then followed by motorcycles at 260,187.43 tons/year (30.16%). The amount of CO2 emissions in Denpasar City is 3.66 times greater than the ability of plants to absorb CO2 in 2015 and there is a tendency for this gap to be even greater in the future. To overcome this problem, regulations are needed such as reducing the number of motorized vehicles by increasing public transportation services. The use of vehicles using energy sources other than fuel such as electricity is another alternative to consider. Finally, the increase in the number and quality of green open spaces is a conventional method that needs to be done.