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 consequent reduction in the variety of information obtained and uncertainty in the results. T 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 seawater namely acidity, depth, current velocity, temperature, salinity, brightness, dissolved oxygen concentration, the condition of the at 51 stations, and each parameter was then digitised and interpolated (using Kriging method) to create a continuous raster-dataset. Correlation analysis was then conducted 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 plot was employed to choose which principal components were relevant for insertion into the formula of suitability. The 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.
Abstrak. metode pemodelan yang umum digunakan yang menawarkan input dan analisis data sederhana. Namun, model vektor-data mengasumsikan homogenitas dalam unit pemetaan berdasarkan penyederhanaan yang berlebihan, pengurangan konsekuensi dalam variasi informasi yang diperoleh dan ketidakpastian dalam hasil. Penelitian ini bertujuan untuk menyempurnakan untuk perairan Teluk Kiowa, Kabupaten Enggano, Bengkulu Utara, Indonesia. Semua parameter yang mempengaruhi kesesuaian untuk teripang dipertimbangkan menggunakan SIG. Data yang tersedia dikonversi ke format raster untuk meningkatkan kompatibilitas dan analisis. Data yang relevan terkait dengan sembilan parameter air laut meliputi keasaman, kedalaman, kecepatan arus, suhu, salinitas, kecerahan, konsentrasi oksigen terlarut, kondisi dasar laut, dan perlindungan wilayah pesisir. Sembilan parameter ini disurvei di lapangan pada 51 stasiun dan setiap parameter kemudian dipetakan dan diinterpolasi untuk membuat dataset raster, menggunakan interpolasi Kriging. Analisis korelasi kemudian dilakukan untuk memeriksa
