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Conservation Priority Land Selection in Sangiran Mountainous Dome Area using Remote Sensing Data Sulistyo, Bambang
Forum Geografi Vol 10, No 2 (1996)
Publisher : Forum Geografi

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

The purpose of this study is to describe the features of soil forms on PKS derived from the data which are related to the erosions that happen. Based on this, the location of the priority of the soil conservation can be chosen. The research geomorphologic hazard method applied in this study is the continuation of the previous research which has yielded the study of soil form area. The result of that study is combined to other data to know IBE which covers topography, slope area, the count, it can be determined the priority of the soil conservation based on the delineation of the soil forms which are interpreted from remote sensing data especially the aerial photograph. The conclusion are 1) the choice of the priority of soil conservation and cultivating plants an be done by knowing IBE; 2) the degree of priority of the soil conservation and plant cultivation in PKS depend on the spreads of the soil forms. The soil forms happened is the features of the difference of rock formations, litology, the degree of erosion, landslide, and the process of diafirism. The priority sequences of the loations of the soil conservation and plant cultivation are S3 dan S4 followed by S5, s1, S2, and finally F1.

Conservation Priority Land Selection in Sangiran Mountainous Dome Area using Remote Sensing Data Sulistyo, Bambang
Forum Geografi Vol 10, No 2 (1996)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v10i2.503

The purpose of this study is to describe the features of soil forms on PKS derived from the data which are related to the erosions that happen. Based on this, the location of the priority of the soil conservation can be chosen. The research geomorphologic hazard method applied in this study is the continuation of the previous research which has yielded the study of soil form area. The result of that study is combined to other data to know IBE which covers topography, slope area, the count, it can be determined the priority of the soil conservation based on the delineation of the soil forms which are interpreted from remote sensing data especially the aerial photograph. The conclusion are 1) the choice of the priority of soil conservation and cultivating plants an be done by knowing IBE; 2) the degree of priority of the soil conservation and plant cultivation in PKS depend on the spreads of the soil forms. The soil forms happened is the features of the difference of rock formations, litology, the degree of erosion, landslide, and the process of diafirism. The priority sequences of the loations of the soil conservation and plant cultivation are S3 dan S4 followed by S5, s1, S2, and finally F1.

Modeling of Percentage of Canopy in Merawu Catchment Derived From Various Vegetation Indices of Remotely Sensed Data Sulistyo, Bambang; Gunawan, Totok; Hartono, H; Danoedoro, Projo
Forum Geografi Vol 27, No 1 (2013): July 2013
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v27i1.5075

The research was aimed at studying Percentage of Canopy mapping derived from various vegetation indices of remotely-sensed data int Merawu Catchment. Methodology applied was by analyzing remote sensing data of Landsat 7 ETM+ image to obtain various vegetation indices for correlation analysis with Percentage of Canopy measured directly on the field (PTactual) at 48 locations. These research used 11 (eleven) vegetation indices of remotely-sensed data, namely ARVI, MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI, RVI, DVI and PVI. The analysis resulted models (PTmodel) for Percentage of Canopy mapping. The vegetation indices selected are those having high coefficient of correlation (>=0.80) to PTactual. Percentage of Canopy maps were validated using 39 locations on the field to know their accuracies. Percentage of Canopy map (PTmodel) is said to be accurate when its coefficient of correlation value to PTactual is high (>=0.80). The research result in Merawu Catchment showed that from 11 vegetation indices under studied, there were 6 vegetation indices resulted high accuracy of Percentage of Canopy maps (as shown in the value of coefficient of correlation as >=0.80), i.e. TVI, VIF, NDVI, TSAVI, RVI dan SAVI, while the rest, namely ARVI, PVI, DVI, EVI and MSAVI, have r values of < 0.80.

Refining Suitability Modelling for Sea Cucumber (Holothuria scabra) Using Fully Raster-Based Data Sulistyo, Bambang; Purnama, Dewi; Anggraini, Maya; Hartono, Dede; Wilopo, Mukti Dono; Wulandari, Ully; Listyaningrum, Noviyanti
Forum Geografi Vol 32, No 2 (2018): December 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i2.6662

Geographical Information System (GIS) modelling using vector data is a commonly used method of modelling offering simple data input and analysis. However, the vector-data model assumes homogeneity in mapping units based on subjectively applied classification and simplification, and this may lead to over-simplification and consequent reduction in the variety of information obtained and uncertainty in results. This research aimed at refining the suitability modelling for sea cucumber (Holothuria scabra) using fully raster-based data for the waters of Kiowa Bay, Kahyapu village in the district of Enggano, North Bengkulu, Indonesia. Using a GIS, all parameters affecting suitability for sea cucumber were rasterised to improve compatibility. The relevant data includes nine parameters of sea water namely acidity, depth, current velocity, temperature, salinity, brightness, dissolved oxygen concentration, condition of the sea floor, and coastal protection of the area. These parameters were surveyed in the field at 51 stations and each parameter was then digitized and interpolated (using Kriging method) to create a continuous raster-dataset. Correlation analysis was then conducted to check parameter correlation. Parameters with a correlation coefficient of > 0.75 were excluded from further analysis since results could be derived from the remaining parameter set. Principal component analysis (PCA) was then applied to ascertain the weight of each component. Furthermore, scree plotting was employed to choose which principal components were relevant for insertion into the formula of suitability. The final result was then compared to the map of suitability from the analysis of vector-based data as the reference data set. The research results showed that this method can be used to locate areas that are suitable for sea cucumber farming. The suitability map for sea cucumber generated from the analysis using fully raster-based data displayed less uncertainty than the suitability map generated using vector-based data.

Pengaruh Erosivitas Hujan yang Diperoleh dari Rumus yang Berbeda terhadap Pemodelan Erosi Berbasis Raster (Studi Kasus di DAS Merawu, Banjarnegara, Jawa Tengah) Bambang Sulistyo
agriTECH Vol 31, No 3 (2011)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

The research aims at studying the efect of rain erosivity generated from different formulae on a fully raster-based erosion modeling of USLE (Universal Soil Loss Equation) with the support of remotely sensed data of Landsat 7 ETM+ and geographical information system technique. Methods applied were by analysing all factors affecting erosion in GIS environment. Monthly R factor was evaluated based on formula developed by Abdurachman, Bols, Lenvain, Soemarwoto and Utomo using rainfall data recorded between June 2004 and May 2006. K factor was determined using modified formula used by Department of Forestry based on the result of laboratory analysis from 30 soil samples taken in the field. LS Factor was derived directly from DEM (Digital Elevation Model) and by taking flow direction from each pixel into consideration. C factor was derived from the formula after applying regression analysis between NDVI (Normalized Difference Vegetation Index) of Landsat 7 ETM+ and C Factor measured directly on the field. P factor was derived from the combination betweenslope data from DEM and landcover classification interpreted from Landsat 7 ETM+ using criteria developed by Abdurachman. Another analysis supporting the research activity was the creation of Map of Bulk Density used to convert erosion unit as from ton/hectare/month to mm/month. After all erosion parameter were analysed, then erosion can be calculated by using R Factor using different formulae. To know its effect, erosion obtained from the model (E ) were compared with actual erosion (E ) measured regularly at outlet of the Merawu watershed. Comparison was done by using Correlation Analysis and Direct Comparison. The research result showed that fully raster-based erosion modeling of USLE (E ) using rain erosivity developed by Abdurachman has high coefficient of correlation (r = 0.873) with E and resulted high accuracy (i.e. 81.13 %).ABSTRAKPenelitian ini bertujuan untuk mengkaji pengaruh erosivitas hujan yang diperoleh dari rumus yang berbeda terhadap pemodelan erosi USLE (Universal Soil Loss Equation) yang berbasis raster dengan memanfaatkan citra Landsat 7 ETM+ dan Sistem Informasi Geografis (SIG). Metode penelitian ini adalah melakukan analisis semua faktor yang mempengaruhi erosi dengan bantuan SIG. Faktor R dihitung menggunakan rumus yang dikembangkan oleh Abdurachman, Bols, Lenvain, Soemarwoto dan Utomo dari 8 stasiun curah hujan yang direkam dari Juni 2004 sampai Mei 2006. Faktor K dihitung, dari 30 sampel tanah yang diambil dan dianalisis di laboratorium, menggunakan rumus K yang sudah disesuaikan. Faktor LS diturunkan dari analisis DEM (Digital Elevation Model) dengan memperhatikan flow direction dari masing-masing piksel. Faktor C diturunkan dari hubungan NDVI (Normalized Difference Vegetation Index) citra Landsat 7 ETM+ dengan Faktor C yang diukur di lapangan. Faktor P diturunkan menggunakan kriteria yang dikembangkan oleh Abdurachman yaitu yang diperoleh dengan kombinasi data slope hasil turunan DEM dengan penutupan lahan yang diinterpretasi dari citra Landsat 7 ETM+. Analisis lainnya adalah penyusunan peta berat jenis tanah yang digunakan untuk mengkonversi satuan erosi dari ton/Ha/bulan menjadi mm/bulan. Setelah semua parameter erosi dianalisis, erosi kemudian dihitung dengan Faktor R menggunakan rumus yang berbeda. Untuk mengetahui pengaruhnya, erosi yang diperoleh dari model (E ) dibandingkan dengan erosi aktual yang terjadi (E ) yang diukur di DAS Merawu. Pembandingan dilakukan menggunakan Analisis Korelasi dan Pembandingan Langsung. Hasil penelitian menunjukkan bahwa hasil erosi model dengan USLE berbasis raster (E ) yang memanfaatkan erosivitas hujan menggunakan rumus Abdurachman mempunyai nilai koefisien korelasi yang tinggi (r = 0,873) dengan aktual dan sekaligus menghasilkan ketelitian yang sangat tinggi (yaitu 81,13 %).

Modeling of Percentage of Canopy in Merawu Catchment Derived From Various Vegetation Indices of Remotely Sensed Data Bambang Sulistyo; Totok Gunawan; H Hartono; Projo Danoedoro
Forum Geografi Vol 27, No 1 (2013): July 2013
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v27i1.5075

The research was aimed at studying Percentage of Canopy mapping derived from various vegetation indices of remotely-sensed data int Merawu Catchment. Methodology applied was by analyzing remote sensing data of Landsat 7 ETM+ image to obtain various vegetation indices for correlation analysis with Percentage of Canopy measured directly on the field (PTactual) at 48 locations. These research used 11 (eleven) vegetation indices of remotely-sensed data, namely ARVI, MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI, RVI, DVI and PVI. The analysis resulted models (PTmodel) for Percentage of Canopy mapping. The vegetation indices selected are those having high coefficient of correlation (=0.80) to PTactual. Percentage of Canopy maps were validated using 39 locations on the field to know their accuracies. Percentage of Canopy map (PTmodel) is said to be accurate when its coefficient of correlation value to PTactual is high (=0.80). The research result in Merawu Catchment showed that from 11 vegetation indices under studied, there were 6 vegetation indices resulted high accuracy of Percentage of Canopy maps (as shown in the value of coefficient of correlation as 0.80), i.e. TVI, VIF, NDVI, TSAVI, RVI dan SAVI, while the rest, namely ARVI, PVI, DVI, EVI and MSAVI, have r values of 0.80.

PERTUMBUHAN VEGETATIF BIBIT JERUK GERGA PASCA OKULASI PADA KONSENTRASI PUPUK ORGANIK CAIR YANG BERBEDA Lia Resti Utami; Yulian Yulian; Bambang Sulistyo
Jurnal Ilmu-Ilmu Pertanian Indonesia Vol 21, No 1 (2019)
Publisher : Program Studi Ilmu Tanah Fakultas Pertanian UNIB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jipi.21.1.32-36

[VEGETATIVE GROWTH OF GRAFTING SEEDLINGS OF GERGA ORANGE IN DIFFERENT CONCENTRATIONS OF LIQUID ORGANIC FERTILIZER]. This study aims to examine explain the effect of gamal leaf liquid organic fertilizer dosage, the way of application of gamal leaf liquid organic fertilizer, and the interaction between treatments on the growth of citrus plants. This research was conducted from August to December 2017 at the Greenhouse of the Faculty of Agriculture, University of Bengkulu. This research was carried out using a Randomized Complete Block Design using 2 factors. The first factor is the way the application of gamal leaf liquid organic fertilizer is sprayed on the leaves and watered onto the ground. The second factor is the concentration of gamal leaf liquid organic fertilizer which consists of control, 25%, 50%, 75% and 100%. The results showed that application of liquid organic fertilizer only gave effect to the number of branches. The 50% gamal leaf liquid organic fertilizer concentration was able to increase the number of branches of gerga orange seedlings by an average of 1.04 branches.

ANALISIS DATA CITRA LANDSAT UNTUK PEMANTAUAN PERUBAHAN GARIS PANTAI KOTA BENGKULU Silvy Syukhriani; Eko Nofridiansyah; Bambang Sulistyo
JURNAL ENGGANO Vol 2, No 1
Publisher : Universitas Bengkulu

Penelitian ini bertujuan untuk menganalisis perubahan garis pantai Kota Bengkulu dengan teknologi penginderaan jauh menggunakan data citra Landsat, berdasarkan data multi temporal dengan teknik analisa visual dan digital antara tahun 2006 sampai tahun 2015. Garis pantai adalah batas antara daratan dan lautan yang mempunyai bentuk bervariasi dan dapat berubah dari musim ke musim. Tujuan dari penelitian ini untuk mempermudah dalam memantau perubahan garis pantai Kota Bengkulu dengan teknologi penginderaan jauh menggunakan data citra Landsat-TM, Landsat-7 ETM+ dan Landsat-8 OLI selama 10 tahun dari tahun 2006 sampai tahun 2015. Metode yang digunakan yaitu dengan melakukan digitasi dan tumpang susun (overlay) data citra sehingga diperoleh data perubahan garis pantai, serta pengamatan lapangan sebagai verifikasi hasil. Dari penelitian ini didapatkan bahwa rata-rata luas perubahan garis pantai Kota Bengkulu mengalami abrasi sebesar 19,41 hektar/tahun dan rata-rata luas perubahan garis pantai Kota Bengkulu yang mengalami sedimentasi sebesar 18,7 hektar/tahun. Adapun daerah yang mengalami perubahan garis pantai setiap tahunnya yaitu Muara Sungai Hitam, Muara Kualo, Muara Sungai Jenggalu dan Pelabuhan Pulau Baai. Perubahan Garis Pantai Kota Bengkulu dapat terjadi karena adanya faktor alamiah dan faktor manusia (Antropogenik).

PENERAPAN PERTANIAN PEKARANGAN TANAMAN HORTIKULTURA DENGAN APLIKASI PUPUK ORGANIK DI DESA SRIKUNCORO, BENGKULU TENGAH Bambang Sulistyo; Priyono Prawito
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 5, No 3 (2022): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v5i3.857-862

Terganggunya sektor pertanian menyebabkan ketahanan pangan negara menjadi terganggu juga sehingga memunculkan kerawanan pangan yang akan berefek terhadap pemenuhan kebutuhan masyarakat. Salahsatu solusi adalah dengan pemanfaatan pekarangan untuk kegiatan pertanian. Kegiatan pertanian pekarangan menghadapi kendala antara lain kurangnya antusiasme dan pengetahuan masyarakat mengenai pelaksanaan dan optimalisasi lahan pekarangan tersebut. Kegiatan pengabdian terdiri atas : (1) Edukasi dan kampanye kepada masyarakat mengenai pertanian pekarangan; (2) Membuat role model pertanian pekarangan ditengah masyarakat dengan membuat dan mempraktekkan pemanfaatan pertanian pekarangan secara nyata di Desa Srikuncoro. Kegiatan dilaksanakan pada bulan Juli-Oktober 2021 melalui edukasi dan kampanye lahan pertanian di pekarangan melalui sosialisasi dan praktek langsung. Capaian dari kegiatan ini adalah pemanfaatan lahan pekarangan secara mandiri oleh masyarakat untuk tambahan pemenuhan kebutuhan pangan rumah tangganya.

ANALISIS PERUBAHAN GARIS PANTAI KABUPATEN KAUR PROVINSI BENGKULU SELAMA 10 TAHUN (2006-2016) Supiyati Supiyati; Bambang Sulistyo; Risky Oktami
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 6 (2017): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2017
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Abstrak Perubahan garis pantai di suatu kawasan dapat berupa sedimentasi atau abrasi yang mengakibatkan terganggunya keseimbangan ekosistem yang ada di pesisir pantai tersebut. Tujuan penelitian ini adalah mengetahui jenis dan besarnya laju perubahan garis pantai Kabupaten Kaur Provinsi Bengkulu serta mengidentifikasi parameter yang mempengaruhinya. Metode yang digunakan dalam penelitiaan ini adalah analisis kuantitatif dan deskriptif dari hasil pengolahan data citra satelit selama 10 tahun (2006-2016), serta survey lapangan secara langsung sebagai data verifikasi. Hasil penelitian yang didapat selama 10 tahun terakhir adalah perubahan garis pantai akibat abrasi dengan laju rata-rata abrasinya sebesar 12,63-18,48 meter/tahun. Laju abrasi tertinggi terdapat di daerah Muara Sambat (Maje). Sedangkan laju rata-rata sedimentasinya sebesar 10,62-18,74 meter/tahun dengan laju sedimentasi tertinggi di daerah semidang Gumai. Parameter yang mempengaruhi perubahan garis pantai ini adalah faktor alam dan manusia, yaitu bentuk morfologi pantai, ketinggian gelombang laut, material penyusun dinding pantai serta manusia yang melakukan penambangn pasir yang tidak terkendali. Kata-kata Kunci: Perubahan garis pantai, abrasi, sedimentasi, citra Satelit Abstract The changes of the shoreline in an area can be a sedimentation or abrasion which resulted in disruption of the existing ecosystem balance on the coast. The aim of this research is to know the types and magnitude of the rate of shoreline changes in Kaur Regency of Bengkulu Province and to identify the parameters that influenced it. The method that used in this research is quantitative and descriptive analysis of satellite image data for 10 years (2006-2016), and direct field measurement that used as verification data. Based on analysis result has obtained that in during 10 years in the past, shoreline changes due to abrasion with an average of abrasion rate is 12.63-18.48 meters / year. The highest abrasion rate is in Muara Sambat (Maje). The average rate of sedimentation is 10.62-18,74 meters / year. The highest sedimentation rate in Semidang Gumai. The parameters to affecting the shoreline change are natural and human factors, ie coastal morphology, sea wave height, coastal wall and human sand mining materials. Keywords: changes of shoreline, abrasion, sedimentation, satellite image

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