POTENTIAL AREA MAPPING FOR SEAWEED AQUACULTURE BASED ON INTERVAL TYPE-2 FUZZY SETS AND MULTI-LAYER PERCEPTRON ALGORITHM.
- Department of Agriculture, Halu Oleo University, Jl. H.E.A. Mokodompit No. 1 Anduonohu Kendari City, Southeast Sulawesi 93232, Indonesia.
- Business School - Bogor Agricultural University, Jl. Raya Pajajaran, Babakan, North Bogor, Babakan, Centre Bogor, Bogor City, West Java, Indonesia 1615.
- Department of Agroindustrial Technology, Bogor Agricultural University, Bogor, West Java, Indonesia 16002.
- Department of Water Resources Management, Faculty of Fisheries and Marine Sciences, Bogor Agricultural University, Jl. Academic Circle, Campus IPB Darmaga, Bogor 16680, Indonesia.
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This paper proposes a mapping model for seaweed aquaculture based on Interval Type-2 Fuzzy Sets (IT2FS) and Multi-Layer Perceptron (MLP) algorithm as a new framework to map potential area for seaweed cultivation to face uncertainty business environment. The main output of this research is a framework as a conceptual model for seaweed potential area mapping based on IT2FS and MLP; and visualization model from the proposed framework using google map API. We use MLP to learn historical data of variables that affect seaweed cultivation and predict future environment condition. The output of MLP used as input for IT2FS for inference process. The decision output from IT2FS is potential or not potential with specific prediction of production size for each region. We test our model for potential mapping in South Sulawesi?s seaweed aquaculture Indonesia. The test result shows our mapping model can provide potential area with total production size each area in South Sulawesi Indonesia.
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[Sarinah, Syamsul Maarif, Hartrisari Hardjomidjojo and Luky Adrianto. (2019); POTENTIAL AREA MAPPING FOR SEAWEED AQUACULTURE BASED ON INTERVAL TYPE-2 FUZZY SETS AND MULTI-LAYER PERCEPTRON ALGORITHM. Int. J. of Adv. Res. 7 (Feb). 1079-1089] (ISSN 2320-5407). www.journalijar.com
1. Department of Agriculture, Halu Oleo University, Jl. H.E.A. Mokodompit No. 1 Anduonohu Kendari City, Southeast Sulawesi 93232, Indonesia
