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STUDI KERAPATAN DAN PERUBAHAN TUTUPAN MANGROVE MENGGUNAKAN CITRA SATELIT DI PULAU SEBATIK KALIMANTAN UTARA Hendrawan, .; Gaol, Jonson Lumban; Susilo, Setyo Budi
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 10 No. 1 (2018): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v10i1.18595

Abstract

Hutan mangrove merupakan ekosistem yang rentan sehingga membutuhkan pemantauan terus menerus untuk mendeteksi berbagai ancaman seperti aktivitas manusia dan bencana alam. Pengindraan jauh dan sistem informasi geografis (SIG) merupakan alat yang sangat efektif untuk digunakan dalam pemantauan ekosistem mangrove karena dapat menjangkau daerah yang luas dan dapat dilakukan sekala berkala. Penerapan teknologi pengindraan jauh untuk memantau ekosistem mangrove di Pulau Sebatik belum pernah dilakukan sebelumnya. Penelitian ini penting untuk mengetahui perubahan kondisi hutan mangrove di Pulau Sebatik. Tujuan dari penelitian ini adalah menganalisis korelasi antara nilai Normalized Different Vegetation Index (NDVI) dan persentase tutupan kanopi mangrove, menghitung akurasi klasifikasi tutupan lahan dengan resolusi spasial yang berbeda, dan mengukur perubahan sebaran mangrove dari tahun 2005 sampai 2016. Klasifikasi tutupan lahan dalam penelitian ini menggunakan klasifikasi terbimbing dengan algoritma Maximum Likelihood. NDVI digunakan sebagai indikator kerapatan tutupan mangrove. Pengukuran data lapangan diambil untuk menghitung tutupan kanopi. Penilaian akurasi klasifikasi citra Landsat sekitar 83% dan citra SPOT 6 sekitar 90%. Mangrove di Pulau Sebatik mengalami peningkatan dari tahun 2005 sampai 2016 sebesar 31,27%. Korelasi antara NDVI dan tutupan kanopi dikategorikan tinggi dengan koefisien korelasi r = 0,82 (Landsat 8) dan 0,85 (SPOT 6).
STATUS EKOSISTEM PESISIR BAGI PERENCANAAN TATA RUANG WILAYAH PESISIR DI KAWASAN TELUK AMBON Asyiawati, Yulia; Yulianda, Fredinan; Dahuri, Rokhmin; Sitorus, Santun R.P.; Susilo, Setyo Budi
Jurnal Perencanaan Wilayah dan Kota Vol 10, No 1 (2010): Jurnal Perencanaan Wilayah dan Kota
Publisher : Program Studi Perencanaan Wilayah Kota

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jpwk.v10i1.1367

Abstract

This study aims : (1) to analyze the status of coastal ecosystems, (2) to analyze factors that affect the quality of coastal ecosystems, and (3) to prepare the direction on spatial planning in coastal areas of Ambon Bay Area. The analytical method used in this study is the analysis of ecosystem status, principal components analysis, analysis of Geographic Information Systems (GIS) and analysis of dynamic systems. The results showed that the condition of ecosystem status damaged in 2008, whereby, the status of mangrove ecosystems is moderate with a density of 1100 trees/ha, the status of seagrass ecosystems damaged by percentage cover of 38,76%, and the status of coral reef ecosystems are damaged by the percentage of live coral is 42,27%. Ecosystem conditions in Ambon Bay Area is affected by land use on land, namely forest area and population. Refferral of land use planning in Ambon Bay Areas wich recommended in this study for a period of 20 years of protected areas and cultivated areas. Protected areas is aimed at 9.480,70 ha or 41,21% of land area, while the allocation of space for the cultivation area is 10.416,30 ha (58,79% of land area). To reduce the pollutant into the waters, planned buffer zones (coastal and riverine border for 11,69% of land area), which serves to absorb pollutants and protect the inland waters of the tidal influence, while still controlling the waste coming into water By using dynamic systems analysis, created the scenario of land use planning in Ambon Bay Area that integrates land and wet land. The scenario used in this study is the optimistic, pessimistic and moderate scenarios. The variable that is used to determine of policy scenarios spatial planning based on the rate of population growth is 2,5% per annum, while variable forest area of at least 30% of the area. Of the three scenarios, the scenario chosen for the land use planning policy in Ambon Bay Areas in the future is to use the moderate scenario. The simulation results moderate scenario, the status of coastal ecosystems is improved from the criteria of the coastal ecosystem damaged by coastal ecosystems index 44,44% in 2008 turned into good condition with the index of coastal ecosystems 88,89% in 2029
DETEKSI PERUBAHAN LUASAN MANGROVE MENGGUNAKAN CITRA LANDSAT BERDASARKAN METODE OBIA DI TELUK VALENTINE PULAU BUANO Alimudi, Saiful; Susilo, Setyo Budi; Panjaitan, James P.
Jurnal Teknologi Perikanan dan Kelautan Vol 8 No 2 (2017): NOVEMBER 2017
Publisher : Fakultas Perikanan dan Ilmu Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (689.558 KB) | DOI: 10.24319/jtpk.8.139-146

Abstract

Limited information and attention to the mangrove areas in the Valentine Bay makes this research is very important. Series Landsat 7 ETM + in 2003, and 2015 are used as recording data to map the mangrove and to see the changes in the region. This study aims to determine changes in mangrove ecosystem between 2003 and 2015, using Landsat imagery based on the OBIA method and to compare the accuracy between OBIA and pixel method. Object base analyst method or often called object-based classification is used to analyze the extent of mangrove cover changes. The results showed that by using an object-based classification, the mangrove forest cover very well detected at the level of 85-88% accuracy. The application of this analysis is were relatively stable in the period of observation, this region has changed from 2003 to 2015 by 1.2%, but the change is meant the addition of natural mangrove. Local government attention is needed to conserve the area and as an conservation area or a natural laboratory considering that the region is still very good and not overdone exploited by people around the region of Valentine.
RELATIONSHIP BETWEEN CHLOROPHYLL-A CONCENTRATION WITH PRIMARY PRODUCTIVITY RATE USING LANDSAT 8 IMAGERY Nuzapril, Mulkan; Susilo, Setyo Budi; Panjaitan, James P.
Jurnal Teknologi Perikanan dan Kelautan Vol 8 No 1 (2017): MEI 2017
Publisher : Fakultas Perikanan dan Ilmu Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3836.056 KB) | DOI: 10.24319/jtpk.8.105-114

Abstract

Klorofil-a merupakan pigmen fitoplankton yang berperan dalam proses fotosintesis. Deteksi konsentrasi klorofil-a melalui satelit hanya dapat menduga konsentrasi klorofil-a permukaan dan bukan produktivitas primer. Produktivitas primer dapat berlangsung sampai kedalaman kompensasi atau kedalaman dimana intensitas cahaya tinggal 1% dari intensitas cahaya permukaan. Penelitian ini bertujuan untuk mencari hubungan antara konsentrasi klorofil-a dengan produktivitas primer sehingga konsentrasi klorofil-a dapat digunakan untuk menduga produktivitas primer. Analisis regresi linier dilakukan terhadap model hubungan antara konsentrasi klorofil-a dengan produktivitas primer. Persamaan hubugan antara konsentrasi klorofil dengan produktivitas primer adalah PP = 22.746 + 95.536Keu dengan (R²) = 0.66 dimana PP adalah produktivitas primer dan Keu adalah konsentrasi klorofil-a rata-rata di seluruh kolom perairan. Hasil persamaan tersebut dapat diaplikasikan untuk citra satelit sehingga dapat membantu dalam memonitoring kondisi kualitas perairan.
PERBANDINGAN KLASIFIKASI SVM DAN DECISION TREE UNTUK PEMETAAN MANGROVE BERBASIS OBJEK MENGGUNAKAN CITRA SATELIT SENTINEL-2B DI GILI SULAT, LOMBOK TIMUR Firmansyah, Septiyan; Gaol, Jonson Lumban; Susilo, Setyo Budi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 9 No. 3 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.9.3.746-757

Abstract

Mangrove is one of the most important objects in wetland ecosystems. Mangrove research has been done, one of them is using remote sensing technology. This study aims to assess accuracy of object based image analysis (OBIA) approach on both Support Vector Machine (SVM) and Decision Tree classification methods to classify mangrove and estimate mangrove area in the field study. We selected Kawasan Konservasi Laut Daerah (KKLD) Gili Sulat as a research site. This research used Sentinel-2B satellite imagery. We took field data using stratified random sampling and the amount of the data we collected were 121 points. The classification analysis result with object based showed that SVM had an overall accuracy of 95 % (kappa = 0.86) and Decision Tree classification had an overall accuracy of  93 % (kappa = 0.82). It is caused SVM can reduce the error of classification than Decision Tree. Estimation result based on assessment showed that mangrove using SVM had 634.62 Ha while using Decision Tree had 590.47 Ha
ANALISIS PENENTUAN SEBARAN KONSENTRASI KLOROFIL-A DAN PRODUKTIVITAS PRIMER DI PERAIRAN TELUK SALEH MENGGUNAKAN CITRA SATELIT LANDSAT OLI 8 Kusumawati, Erni; Susilo, Setyo Budi; Agus, Syamsul Bahri; Taslim, Arifin; Yulius, Yulius
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 9 No. 3 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.9.3.671-679

Abstract

Chlorophyll-a is a parameter that can determine the primary productivity in the coastal and ocean. Chlorophyll-a is pigment in phytoplankton that used in photosynthesis. Chlorophyll-a concentration can be detected by ocean color remote sensing by using a mathematical model of satellite image data. The purpose of this research is to modify the algorithm of chlorophyll-a concentration of Landsat OLI 8 Satellite Image data and to show the spatial and temporal distribution of chlorophyll-a concentration. The determination of the algorithm is done using a simple linear regression analysis model between ratio of satellite image band data and value of chlorophyll-a in situ data. The algorithm result is C = 0.416 (green / blue) - 0.183 with R² = 0.785 where C is chlorophyll-a concentration (in mg/m3). Using this algorithm, the spatial distribution of surface concentration of chlorophyll-a can be drawn. Based on analysis of primary productivity that potential of fish resources in the Saleh Bay is 1 327 199.83 ton/years.
ESTIMASI PRODUKTIVITAS PRIMER PERAIRAN BERDASARKAN KONSENTRASI KLOROFIL-A YANG DIEKSTRAK DARI CITRA SATELIT LANDSAT-8 DI PERAIRAN KEPULAUAN KARIMUN JAWA Nuzapril, Mulkan; Susilo, Setyo Budi; Panjaitan, James Parlindungan
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 14 No. 1 Juni 2017
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.pjpdcd.2017.v14.a2548

Abstract

Sea primary productivity is an important factor in monitoring the quality of sea waters due to his role in the carbon cycle and the food chain for heterotrophic organisms. Estimation of sea primary productivity may be suspected through the values of chlorophyll-a concentration, but surface chlorophyll-a concentration was only able to explain 30% of the primary productivity of the sea. This research aims to build primary productivity estimation model based on chlorophyll-a concentration value of a surface layer of depth until depth compensation. Primary productivity model of relationships with chlorophyll concentration were extracted from Landsat-8 imagery then it could be used to calculated of sea primary productivity. The determination of the depth classification were done by measuring the attenuation coefficient values using the luxmeter underwater datalogger 2000 and secchi disk. The attenuation coefficient values by the luxmeter underwater, ranges between of 0.13-0.21 m-1 and secchi disk ranged, of 0.12 – 0.21 m-1. The penetration of light that through into the water column where  primary productivity is still in progress or where the depth of compensation ranged from 28.75 – 30.67 m. The simple linier regression model between average value of chlorophyll- concentration in all euphotic zone with sea primary productivity has high correlation, it greater than of surface chlorophyll-a concentration (R2 = 0.65). Model validation of sea primary productivity has high accuracy with the RMSD value of 0.09 and satellite-derived sea primary productivity were not significantly different. The satellite derived of chlorophyll-a could be calculated into sea primary productivity.Abstrak Produktivitas primer perairan merupakan faktor penting dalam pemantauan kualitas perairan laut karena berperan dalam siklus karbon dan rantai makanan bagi organisme heterotrof. Estimasi produktivitas primer perairan dapat diduga melalui nilai konsentrasi klorofil-a, namun konsentrasi klorofil-a permukaan laut hanya mampu menjelaskan 30% produktivitas primer laut. Penelitian ini bertujuan untuk membangun model estimasi produktivitas primer berdasarkan nilai konsentrasi klorofil-a dari lapisan kedalaman permukaan sampai kedalaman kompensasi. Model hubungan produktivitas primer dengan konsentrasi klorofil-a yang diekstrak dari citra satelit Landsat-8 kemudian dapat digunakan untuk mengestimasi produktivitas primer satelit. Penentuan klasifikasi kedalaman dilakukan dengan mengukur nilai koefisien atenuasi menggunakan luxmeter underwater datalogger 2000  dan secchi disk. Nilai koefisien atenuasi dengan menggunakan luxmeter underwater berkisar antara 0,13 -0,21m-1 dan secchi disk berkisar antara 0,12 – 0,21 m-1. Penetrasi cahaya yang masuk ke kolom perairan dimana produksi primer masih berlangsung atau kedalaman kompensasi berkisar antara 28,75 – 30,67 m. Model regresi linier sederhana antara konsentrasi klorofil-a rata-rata seluruh zona eufotik dengan produktivitas primer perairan memiliki korelasi yang lebih tinggi dibandingkan konsentrasi klorofil-a permukaan dengan R2= 0,65. Validasi model produktivitas primer memiliki keakuratan yang tinggi dengan RMSD sebesar 0,09 dan produktivitas primer satelit secara signifikan tidak berbeda nyata dengan produktivitas primer data insitu. Sehingga  nilai konsentrasi klorofil-a satelit dapat ditransformasi menjadi produktivitas primer satelit.
SEDIMENTASI DELTA SUNGAI CITARUM, KECAMATAN MUARA GEMBONG, KABUPATEN BEKASI (Sedimentation at Delta of Citarum River Muara Gembong District, Bekasi Regency) Paryono, Paryono; Damar, Ario; Susilo, Setyo Budi; Dahuri, Rokhmin; Suseno, Heny
Jurnal Penelitian Pengelolaan Daerah Aliran Sungai Vol 1, No 1 (2017): Jurnal Penelitian Pengelolaan Daerah Aliran Sungai
Publisher : Balai Penelitian dan Pengembangan Teknologi Pengelolaan DAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jppdas.2017.1.1.15-26

Abstract

One of land use change impacts in the downstream of Citarum watershed is sedimentation. This study aimed to determine the total suspended solid and sediment load in the downstream of Citarum River. The Total Suspended Solid (TSS) samples were taken in three locations: the inlet of Jatiluhur reservoir, the outlet of Jatiluhur reservoir, and before the Citarum River estuary. The frequency of TSS samplings was twice a year i.e during the dry season and the rainy season at 2014. Analysis of TSS content was in accordance with SNI 06-6989.3-2004 using gravimetry method.  The results showed that TSS at down stream Citarum River flow was 0.44 kg/m3, TSS at the inlet of Jatiluhur reservoir was 0.20 kg/m3, and TSS at the outlet of Jatiluhur reservoir was 0.02kg/m3. The total sediment in the inlet of Jatiluhur was 1.34 x 106ton/year, in the outlet of Jatiluhur reservoir was 0.14 x 106ton/year, and the flow sediment total to the Citarum River estuary was 1.79 x 106 ton/year. The Jatiluhur reservoir could reduce the potential for sediment total flowing into the sea as much as 1.20x 106tons/year. Area of sedimentation at the delta of Citarum River was 3,828.26 ha.
KEANEKARAGAMAN HAYATI SUMBER DAYA IKAN DI ESTUARI SEGARA ANAKAN, CILACAP JAWA TENGAH Nurfiarini, Amula; Kamal, M. Mukhlis; Adrianto, Luky; Susilo, Setyo Budi
BAWAL Widya Riset Perikanan Tangkap Vol 7, No 1 (2015): (April 2015)
Publisher : Pusat Penelitian dan Pengembangan Perikanan, Badan Penelitian dan Pengembangan Kelautan da

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.152 KB) | DOI: 10.15578/bawal.7.1.2015.25-34

Abstract

Estuari Segara Anakan dikenal sebagai salah satu estuari yang potensial dan menjadi habitat penting dalam menyediakan ruang bagi beragam fauna akuatik, khususnya ikan. Penelitian ini bertujuan untuk mengetahuikeanekaragaman sumber daya ikan di Estuari Segara Anakan. Penelitian dilakukan pada bulan Maret - Juni 2014. Pengambilan contoh dilakukan di 4 zona, yaitu mulut estuari, muara sungai, paparan laguna, dan alur sungai berhutan mangrove. Spesimen ikan dikumpulkan dengan alat tangkap jaring apong, jaring kantong, jaring tek tek (tram-mel net), surungan, dan widey. Ikan yang terkumpul sebanyak 23.521 ekor, terdiri atas 45 famili dan 87 spesies yang didominasi oleh famili Ambassidae, Engraulidae, Leognathidae, Mugilidae, Atherinidae, dan Bagridae. Berdasarkan habitat yang didiami, spesies terbanyak ditemukan di mulut estuari sebanyak 55 spesies, 53 spesies ditemukan di laguna, 54 spesies di muara sungai, dan 50 spesies di alur sungai berhutan mangrove, dan 22 spesies ditemukan diseluruh tipe habitat. Keberadaan juvenil ikan sebagai bagian dari komposisi terbesar dari spesies menunjukkan peran ekologis penting estuari sebagai daerah pemijahan, asuhan dan pembesaran, serta sumber makanan.
KAPASITAS ADAPTIF EKOSISTEM LAMUN (SEAGRASS) DI GUGUS PULAU GURAICI KABUPATEN HALMAHERA SELATAN PROVINSI MALUKU UTARA Subur, Riyadi; Yulianda, Fredinan; Susilo, Setyo Budi; Fahrudin, Achmad
AgriSains Vol 12, No 3 (2011)
Publisher : FAPETKAN UNTAD

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sea grass bed is an important ecosystem in coastal areas and small islands which plays important and effective roles as a protector of the coastal line and the safety of the mainland area of small islands. Physically, the roles of ecosystem were as erosion prevention, sediment trap and barrier of waves and currents. The existence of these ecosystems in the coastal regions and small islands was an important in enhancing the adaptive capacity of islands against natural disaster because the island serves as a natural protector. The aim of this research was to calculate and assess tha adaptive capacity of sea grass ecosystems growing in the waters of around the small islands in the group of Guraici. The research was conducted on 17 islands located in the group of Guraici islands. Measurement of adaptive capacity of sea grass ecosystem was done by analyzing 6 parameters, namely: Sea Grass Dimension Index (IDLn), Dominant Species of Sea Grass, Sea Grass Coverage Percentage (%), Number of Sea Grass Species, Substrate Type, Distance from The Point of Ecosystem. Sea Grass ecosystem adaptive capacity value was in the range between 0.0-1.0, with capacity of five categories of ?very low, low, medium, high and very high?. These results indicated that sea grass ecosystem growing in the waters of around the islands in the island of group Guraici had adaptive capacity with values ranging between 0.0-0.59. The ranges of values were distributed into three categories of the adaptive capacities (very low, low and medium). A total of 13 islands had a capacity of sea grass ecosystem ?medium?, the other three islands with capacity of ?low? and one island with a capacity of ?very low?.    Key words : Adaptive Capacity, seagrass ecosystem.