Article Per Year (5 Year)
p-Index From 2021 - 2026
2.386
P-Index
This Author published in this journals
All Journal Management of Aquatic Resources Journal (Maquares) Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Journal of Aquatropica Asia Forum Geografi JURNAL ENGGANO Jurnal Sumberdaya Akuatik Indopasifik Jurnal Laut Khatulistiwa SAINTEK: Jurnal ilmiah Sains dan Teknologi Industri INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua ALAYYA: Jurnal Pendidikan Islam Anak Usia Dini Kultura: Jurnal Ilmu Sosial dan Humaniora Muhafadzah: Jurnal Ilmiah Bimbingan dan Konseling Islam Jurnal Perikanan Access: Journal of Accounting, Finance and Sharia Accounting
DEWI PURNAMA
Marine Science Study Program, University Of Bengkulu
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Physics Social Sciences Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Forum Geografi

 1 
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.
Refining Suitability Modelling for Sea Cucumber (Holothuria scabra) Using Fully Raster-Based Data Bambang Sulistyo; Dewi Purnama; Maya Anggraini; Dede Hartono; Mukti Dono Wilopo; Ully Wulandari; Noviyanti Listyaningrum
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.
Co-Authors Adi, Rizky Anggoro Afti Ayu Putri Sinurat Alfian, Achmad Alfian, Achmad Ali Muqsit Ali Muqsit Ali Muqsit Alvianto Simanjorang Amelia Suryanita Apriliansyah Apriliansyah Aradea Bujana Kusuma Aradea Bujana Kusuma Ari Anggoro Astini, Lita Astuti, Anggini Fuji Bambang Sulistyo Bambang Sulistyo Bendi Extra Bertoka F. S. P Negara Bertoka Fajar SP Negara Bertoka Fajar SP Negara Bertoka Fajar SP Negara, Bertoka Fajar SP Bertoka Fajar Surya Prawira Negara Bertoka FSP Negara Bertoka FSP Negara Bona Loberto Pakpahan Dede Hartono Dede Hartono, Dede Dwi Ari Yasinto Rahmantyo Eko Nofriadiansyah Fahri Rizky Firman Manalu Fitrisyah, Yandi habiburrahman, Lalu Harun Al Rasyid Helen Marlina M Hence Mahyarany Pasaribu Hidayah, Novita Nurul Idi Warsah Indah Purnamasari Istikomah Jesica Marta Yosefa Jojor Marito Sinaga Kiki Median Leni Maryani Listyaningrum, Noviyanti M. Taufik Maestro Munru Maya Anggraini Maya Anggraini Maya Anggraini Fajar Utami Maya Angraini Fajar Utami, Maya Angraini Fajar Mukti Dono Wilopo Mulstory Wander Simarmata Nico Deodatus Adhi Nining Nursalim Noviyanti Listyaningrum Nurlaila Ervina Herliany Nurlaila Ervina Herliany Nurlaila Ervina Herliany Okawati Silitonga Pahabol, Aleks Person Pesona Renta Pinsi Hariman Pinsi Hiriman Rahmadina, Elsa Raja Aditya Sahala Siagian Rizki Slamet Sapiri, Muhtar Seprianto, Seprianto Slamet, Rizki Syarifudin Nur Thanwain, Thanwain Trisela Yunisti Ully Wulandari, Ully Vania, Fedora Walqodra, Aldi Rizki Yar Johan Yar Johan Yar Johan Yar Johan Yar Johan Yar Johan Yusarwan Yamadipo