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THE EFFECT OF HYDROLOGIC RESPONSE UNIT ON CI RASEA WATERSHED STREAMFLOW BASED ON LANDSAT TM . Emiyati; Eko Kusratmoko; . Sobirin
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 12, No 2 (2015)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1040.223 KB) | DOI: 10.30536/j.ijreses.2015.v12.a2689

Abstract

. This paper discusses spatial pattern of Hydrologic Response Unit (HRU), which is a unit formed of hydrological analysis, including geology and soil type, elevation and slope, and also land cover in 2009. This paper also discusses the impact of HRU on streamflow of Ci Rasea watershed, West Java. Ci Rasea watershed is located at the upstream part of Ci Tarum watersheds in West Java Province, Indonesia. This research used SWAT (Soil and Water Assessment Tool) model to obtain spatial HRU and river flow. The method used Landsat TM data for land cover and daily rainfall for river flow modeling. The results have shown spatial pattern of HRU which was affected by land cover, soil type and slope. In 2009, accumulated surface runoff and streamflow changes were spatially affected by HRU changes. The large amount accumulation of river flow discharge happened in HRU with landcover paddy field, silty clay soil, and flat slope. While the low discharge of river flow happened in HRU with plantation, clay soil, and slightly steep slopes as HRU dominant. It was found that accumulation of surface runoff in Ci Rasea watershed can be reduced by changing the land cover type in some areas with clay and slightly steep slope to become plantation area and the areas with sandy loam soil and flat slope can be used for paddy fields. Beside affected by HRU, the river flow discharge was also affected by the distance of sub watershed to the outlet. By using NS model and statistical t-student for calibration and validation, it was obtained that the accuracy of river flow models with HRU was 70%. It meant that the model could better simulate water flows of the Ci Rasea watershed.
SPATIAL PATTERN OF HYDROLOGIC RESPONSE UNIT (HRU) EFFECT ON FLOW DISCHARGE OF CI RASEA WATERSHED USING LANDSAT TM IN 1997 TO 2009 . Emiyati; Eko Kusratmoko; . Sobirin
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 13, No 1 (2016)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (736.397 KB) | DOI: 10.30536/j.ijreses.2016.v13.a2709

Abstract

Hydrologic Response Unit (HRU) is a unit formed of hydrological analysis based on geology and soil type, slope, and land cover. This paper discussed the spatial pattern of Hydrologic Response Unit (HRU) in 1997-2009 and its impact on flow Ci Rasea watershed temporally. In this study, SWAT (Soil and Water Assessment Tool) model, based on land cover changed, was used to get HRU and flow in spatially and temporally. This method used Landsat TM 1997, 2003 and 2009 data for land cover and daily rainfall 1997-2009 for flow modeling. The results showed the spatial pattern of HRU in temporally was affected by landcover based on the changing of HRU. The majority of HRU spatial pattern at Ci Rasea watershed were clustered. During 1997-2009, accumulated surface runoff and the changing of flow discharge were affected by changes of HRU spatial pattern. The biggest accumulated surface runoff in Ci Rasea watershed influenced by HRU of agricultural cropland in area of clay soil type with slope slightly obliquely. While the smallest accumulated surface runoff in Ci Rasea watershed influenced by HRU of paddy field in the area of sandy loam soil type with a gentle slope. The changes of HRU agriculture cropland become HRU mixed cropland in area clay soil type with slope at a slight angle and HRU agriculture cropland become HRU paddy field in area, sandy loam soil type with a gentle slope could be decreasing the accumulation of surface runoff in Ci Rasea watershed.
Karakteristik Pasang Surut Surabaya Diamati Selama 5 Tahun (2015-2020) Dina Fitriana; Mufti Petala Patria; Eko Kusratmoko
Jurnal Geospasial Indonesia Vol 5, No 1 (2022): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.72856

Abstract

Badan Informasi Geospasial sudah membangun, dan mengelola 200 stasiun pasang surut di seluruh Indonesia. Salah satu lokasi stasiun pasang surut adalah di Surabaya di Dermaga PT PAL. Keberadaaan stasiun pasang surut laut Surabaya sangat penting terutama bagi Badan Informasi Geospasial dan masyarakat sekitar, karena di wilayah tersebut hanya ada satu-satunya stasiun pasang surut permanen wilayah pesisir Surabaya. Penelitian ini bertujuan mengetahui karakteristik pasang surut laut di Surabaya yang diperoleh berdasarkan data tahun 2015-2020. Proses pengolahan data mengggunakan perangkat lunak Geomatix Geotide 3.0.23 yang menggunakan metode Least Square dalam perhitungannya. Hasil penelitian membuktikan bahwa rata-rata nilai LAT, MSL, dan HAT adalah -0.636, 1.110, 2.850 dalam satuan m (meter) yang ber-referensi ke palem pasut, sehingga ini adalah nilai muka laut yang lokal di Stasiun Surabaya. Kemudian dari perhitungan bilangan Formzal di stasiun pasang surut Surabaya diperoleh nilai 0.749 – 1.391, hal ini menjadi bukti bahwa tipe pasang surut Staisun Surabaya adalah pasang surut campuran condong ke harian ganda dengan rata-rata bilangan formzahl 1.153. Sedangkan komponen pasang surut yang paling dominan mempengaruhi Stasiun Surabaya adalah K1 dan yang memiliki pengaruh yang kecil adalah MS4.
Coastal Physical Vulnerability of Surabaya and Its Surrounding Area to Sea Level Rise Sulma, Sayidah; Kusratmoko, Eko; Saraswati, Ratna
Makara Journal of Technology Vol. 16, No. 2
Publisher : UI Scholars Hub

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Abstract

The study for coastal vulnerability to sea level rise was carried out in Surabaya and its surrounding area, it has focused on calculations of the physical vulnerability index were used coastal vulnerability index (CVI) methods. It was standardized by the multi criteria analysis (MCA) approach according to the study area. The score of each physical variable derived from remote sensing satellite data and the results of studies that have been done, such as modeling results and thematic maps, and then integrated into geographic information systems (GIS). Result of this study shows that the coastal areas of Gresik, Surabaya, and Sidoarjo in the very low to very high vulnerability level. Physically, the low land areas with open and slightly open coastal have a high vulnerability category. The high level vulnerability was found located in the northern of Madura Strait (Gresik Regency) that overlooks to the Java Sea is about 28.81% from the entire of study areas. Meanwhile, the moderate, low and very low levels of vulnerability were located on Surabaya and Sidoarjo Regency that have more protected coastal area, relatively. According to the physical condition, the coastal elevation is the most variable that contributes to the high of vulnerability index in the coastal of Surabaya City and Sidoarjo Regency.
Prediksi Perubahan Tutupan Lahan di Kecamatan Sirimau, Kota Ambon Menggunakan Celular Automata- Markov Chain Nadhi Sugandhi; Supriatna Supriatna; Eko Kusratmoko; Heinrich Rakuasa
JPG (Jurnal Pendidikan Geografi) Vol 9, No 2 (2022)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jpg.v9i2.13880

Abstract

Sirimau District has the largest population in Ambon City which has an impact on the need for higher residential land, this will certainly affect uncontrolled land cover changes and have an impact on land conversion and environmental damage. This study aims to analyze land cover changes in Sirimau District in 2012, 2017, and 2022, and predict land cover in 2031. This study uses the Cellular Automata Markov Chains (CA-MC) method. The results showed that in the period 2012-2031 the area of residential land cover and open land continued to increase along with the increase in population and the high need for built-up land. In contrast to the land cover of agricultural areas and non-agricultural areas, which experienced a decrease in area. The results of the research are expected to be used as a basis for making policies related to the arrangement and good use of space in the future
MAPPING BURNT AREAS USING THE SEMI-AUTOMATIC OBJECT-BASED IMAGE ANALYSIS METHOD Fitriana, Hana Listi; Suwarsono, Suwarsono; Kusratmoko, Eko; Supriatna, Supriatna
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 17, No 1 (2020)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3281

Abstract

Forest and land fires in Indonesia take place almost every year, particularly in the dry season and in Sumatra and Kalimantan. Such fires damage the ecosystem, and lower the quality of life of the community, especially in health, social and economic terms. To establish the location of forest and land fires, it is necessary to identify and analyse burnt areas. Information on these is necessary to determine the environmental damage caused, the impact on the environment, the carbon emissions produced, and the rehabilitation process needed. Identification methods of burnt land was made both visually and digitally by utilising satellite remote sensing data technology. Such data were chosen because they can identify objects quickly and precisely. Landsat 8 image data have many advantages: they can be easily obtained, the archives are long and they are visible to thermal wavelengths. By using a combination of visible, infrared and thermal channels through the semi-automatic object-based image analysis (OBIA) approach, the study aims to identify burnt areas in the geographical area of Indonesia. The research concludes that the semi-automatic OBIA approach based on the red, infrared and thermal spectral bands is a reliable and fast method for identifying burnt areas in regions of Sumatra and Kalimantan.
PEMODELAN KEJADIAN BANJIR DAERAH ALIRAN SUNGAI CILIWUNG HULU DENGAN MENGGUNAKAN DATA RADAR Putiamini, Sepanie; Kusratmoko, Eko; Syamsudin, Fadli
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 1, No. 1
Publisher : UI Scholars Hub

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Abstract

. This study reports the applicability of hydrological modeling, HEC-HMS, integrated with Geographic Information Systems (GIS) to examine the rainfall - runoff relationship with a case study of Upper Ciliwung watershed. Spatial rainfall data derived from radar data used in the process of simulating rainfall - runoff and the results are compared with simulation results using the observed rainfall data. Analysis of the rainfall-runoff simulation was conducted based on spatial approach by comparing the differences and similarities between sub catchments. The simulations carried out for the flood events in 2002, 2007 and 2013. The results of the simulation of rainfall - runoff using C-Dopller weather rainfall radar data shows the sub-watershed of Ciliwung (Tugu) produced discharge with the highest volume in January - February 2002 and 2007, and also 16 - 17 January 2013, i.e. 117 mm, 124 mm and 46 mm, respectively. Physical characteristics of the watershed such as slope, land use, and soil type, are the factors that determine the high discharge value. The results of validation using RMSE and Nash produces small deviation value of the observation data. It shows that the use of weather radar data is reliable in the rainfall-runoff simulation in the Upper Ciliwung watershed
Prioritas Lokasi Revitalisasi Sungai Ciliwung di Wilayah DKI Jakarta: Ciliwung River Revitalization Prioritised Location in DKI Jakarta Roby Dwiputra; Kusratmoko, Eko; Parluhutan Tambunan, Rudy
Jurnal Riset Jakarta Vol. 14 No. 2 (2021): Jurnal Riset Jakarta
Publisher : Dewan Riset Daerah (DRD) Provinsi Daerah Khusus Ibukota (DKI) Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37439/jurnaldrd.v14i2.55

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Kondisi geomorfologi Jakarta serta bentuk aliran sungai yang bercorak peneplain dibenturkan dengan terjadinya degradasi lingkungan akibat kepadatan penduduk yang terus bertambah menyebabkan kerentanan Jakarta terhadap ancaman bahaya banjir terus meningkat. Dari ke-13 sungai yang mengalir di Jakarta, Sungai Ciliwung menjadi perhatian utama bermula dari sejarahnya sebagai fungsi vital bagi Jakarta sejak jaman Pemerintahan Belanda yang mana merawat Sungai Ciliwung pada saat itu sama dengan menjaga harkat dan martabat Batavia (sekarang Jakarta). Pembelajaran dari negara-negara di Eropa atau Amerika, konsep penanganan sungai yang berhasil dilaksanakan dan menjadi contoh bagi negara lain yaitu menggunakan pendekatan revitalisasi. Revitalisasi sungai berdampak pada peningkatan kualitas lingkungan dan kehidupan yang juga sekaligus menjadi dasar pembangunan berkelanjutan. Urgensi revitalisasi sungai membuat penelitian ini penting untuk dilakukan, yakni membahas kriteria revitalisasi sungai dari perspektif kajian perkotaan untuk mendapatkan tingkat prioritas lokasi revitalisasi. Penelitian menggunakan pendekatan kuantitatif dengan metode Analisis Hirarki Proses (AHP) dan analisis spasial berbasis Sistem Informasi Geografis (SIG). Hasil penelitian menunjukkan bahwa kriteria faktual banjir merupakan kriteria penentu lokasi dengan bobot tertinggi, yaitu 32,4% sehingga setiap segmen pelaksanaan revitalisasi harus memiliki dampak yang besar bagi pengendalian banjir di Jakarta. Adapun lokasi revitalisasi sangat prioritas dimulai dari Jalan TB Simatupang sampai Pintu Air Manggarai.
ASSESSMENT OF FLASH FLOOD HAZARD POTENTIAL IN A SMALL MOUNTAINOUS CIKUNDUL WATERSHED IN CIANJUR, WEST JAVA, INDONESIA Kusratmoko, Eko; Septina, Armila Rista; Falensky, Muhammad Attorik
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 21, No 1 (2024)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2024.v21.a3918

Abstract

Flash flood is a geomorphic hazard that can cause huge losses in a short period of time. Cianjur regency, especially Cikundul Watershed is a flash flood frequent area. Therefore, flash flood potential mapping is needed to reduce the threat that can be caused by flash flood. In the flash flood potential mapping, Flash Flood Potential Index (FFPI) method is still rarely applied in Indonesia. This study aims to see the comparison of flash flood potential areas based on models developed in the FFPI method which is Smith, Brewster, Krudzlo, and Ceru models. The four models used slope, land use, soil texture, and vegetation cover as variables. Spatial analysis and statistical test was implemented to validate the flash flood potential areas with flash flood affected locations. The result reveals that Cikundul Watershed was dominated by moderate potential areas based on Brewster, Krudzlo, and Ceru model but low by Smith model. The result also reveals that 65% of 68 Sub-Sub Watershed have different potential and 35% have same potential. High potential areas in all four models was distributed in the Upper Cikundul Watershed. The Crosstab Fit Test result shows that Smith model is the closest model to the actual event.
COMPARATIVE ANALYSIS OF LAND SURFACE TEMPERATURE BETWEEN OIL PALM PLANTATIONS AND RICE PADDIES IN SOUTHERN SUMATRA ISLAND Putra, I Kadek Yoga Dwi; K, Muhammad Qabus Abid; P, Cindy Adria A.; Kusratmoko, Eko
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
Publisher : UI Scholars Hub

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Abstract

Land Surface Temperature (LST) is a vital metric for understanding thermal dynamics and environmental impacts of land cover types. Influenced by land use, vegetation, and elevation, LST helps assess ecological changes and human impacts on surface temperatures. This study investigates LST variations between oil palm plantations and rice paddies in southern Sumatra, Indonesia, using Landsat 8 remote sensing data. The aim is to compare the thermal characteristics of these dominant agricultural landscapes across elevation gradients (0–1250 meters above sea level). Results reveal significant LST differences: rice fields generally show higher LST values at lower elevations, while oil palm plantations have elevated LST at mid-elevations. Statistical analyses indicate that, on average, oil palm plantations exhibit a slightly lower LST than rice fields, with a difference of 0.093°C, likely due to higher albedo and reduced evapotranspiration. These findings highlight the complex relationship between land cover and elevation in affecting LST patterns. The insights gained are essential for sustainable land management policies that seek to balance agricultural productivity with environmental conservation. This research deepens our understanding of LST dynamics in agricultural landscapes, providing valuable data for policymakers and land managers.