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All Journal Indonesian Journal of Geography Jurnal Lahan Suboptimal BIOTROPIA - The Southeast Asian Journal of Tropical Biology Journal of Tropical Soils Jurnal Ilmu-Ilmu Pertanian Indonesia agriTECH Forum Geografi Jurnal Media Gizi Indonesia (MGI) JURNAL ENGGANO TERRA : Journal of Land Restoration IRJE (Indonesian Research Journal in Education) Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL MUTIARA KESEHATAN MASYARAKAT Cendekia : Jurnal Pengabdian Masyarakat UTAMAX : Journal of Ultimate Research and Trends in Education Jurnal Pendidikan Vokasi Otomotif Jurnal Abdi Masyarakat Indonesia Automotive Experiences Jurnal PRIMED:Primary Education Journal atau Jurnal Ke-SD An PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) JURNAL PETERNAKAN SILAMPARI Jurnal Ilmu Kehutanan Jurnal Manusia dan Lingkungan Artinara Jurnal Inspirasi Ilmu Manajemen Jurnal Pendidikan Progresif Journal of Automotive and Mechanical Applied Technology
Bambang Sulistyo
Fakultas Pertanian Universitas Bengkulu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary Other

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Journal : Forum Geografi

 1 
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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
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

Abstract

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.
Co-Authors Abdul Rauf Agus Budiman Agus Wahyudi Agus Widyianto Amaliah Anshori, Siroj Ibnu Hajar Al Apriliani, Ririn Arjuni, Defi Awalludin Awalludin, Awalludin Ayob, Norhayati Bambang Gonggo Murcitro Bandi Hermawan Budiman, Yosef Danoedoro Danoedoro Danoedoro Danoedoro Darningwati Darningwati Dede Hartono Delvina Sari, Juwita Deny Tri Ardianto DEWI PURNAMA Dongoran, Haddan Eko Nofridiansyah, Eko Emy Yuliantini Episiasi Erwanto Fadhila, Raihan Farnia Sari, Farnia H Hartono H Hartono Hartono Hartono Hartono Hartono Hasanudin Hasanudin Hayatun Nofrida Hendra Alfani, Hendra Herminarto Sofyan Heru Widiyono, Heru Hindarto, Kanang Setyo Ibnu Siswanto Indarwanto Insanul Kamil, Maulana Joko Sriyanto Juwita Delvina Sari Kanang S. Hendarto Ketut Sukiyono Lia Resti Utami Listyaningrum, Noviyanti Listyaningrum, Noviyanti Listyowati, Esi Asyani M. Zulkarnain Yuliarso, M. Zulkarnain Martiana, Dinda Martubi Martubi Maulana Insanul Kamil Maya Anggraini Muhammad Faisal Muhammad Faiz Barchia, Muhammad Faiz Muhammad Nur Alif Mukti Dono Wilopo Mustopa Ramdhon Nopa Yusnilita, Nopa Nur Alif, Muhammad Nur Shabrina Reznani Nurcahyanti, Desy Nurhasanah Nurhasanah Nurhasanah NURULANNINGSIH Nurulanningsih Nurulanningsih, Nurulanningsih Nurwanto, Ahmad Oktoyoki, Hefri Pangestu, Satria Pawoko, Laksono Tejo Prasetyono, Agus Puji Pratama, Feri Dian Prawito, Priyono Priti, Priti Priyono Prawito Priyono Prawito Projo Danoedoro Purwadi, Agus Joko Purwantoro, Agus Putra, Dio Rizki Ade Putri, Febi Rahma Rahmanu Widayat Ratih Utami Ramadhaniati Reflis Rifan Risky Oktami Rochmat Martanto Rosihan, Akhmad Rulia, Rulia S. Hendarto, Kanang Samsul Anam, Samsul Silvy Syukhriani Supiyati . Susilowati Utama, Alip Teguh Adiprasetyo Thomas Sukardi Totok Gunawan Totok Gunawan Totok Gunawan Ully Wulandari, Ully Utama, Olga Satria Tri Utami, Kartika Vikra Zaky Zanovid Vinni Lovita Wardan Suyanto Widyaputra, Gama Yentri Anggeraini, Yentri Yulian Yulian Yunarto, Febri Zainal Muktamar Zaky Zanovid, Vikra