PENERAPAN BUSINESS INTELLIGENCE DALAM MEMONITORING PRODUKTIVITAS BUDIDAYA PERIKANAN PADA DINAS KELAUTAN DAN PERIKANAN PROVINSI SUMATERA SELATAN DENGAN METODE NEURAL NETWORK BACKPROPAGATION

KHASANAH, IKHDA USWATUN and Tania, M.Kom, Ken Ditha (2019) PENERAPAN BUSINESS INTELLIGENCE DALAM MEMONITORING PRODUKTIVITAS BUDIDAYA PERIKANAN PADA DINAS KELAUTAN DAN PERIKANAN PROVINSI SUMATERA SELATAN DENGAN METODE NEURAL NETWORK BACKPROPAGATION. Undergraduate thesis, Sriwijaya University.

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Abstract

Marine and Fisheries Departement is a government agency that carries out policies in the field of marine and fisheries and is required to be able to manage marine and fisheries resources properly. The wide area of water and the high potential of fishery products in South Sumatra Province certainly must be balanced with the utilization, processing and distribution of good fishery products so that the role of the fisheries sector increases and the welfare of the community and fisheries business actors can be achieved. However, these efforts have not been fully implemented. One reason is that the data processing is still simple with a high level of data complexity so that the information needed has not been fulfilled. By utilizing Business Intelligence as an analytical system, it will improve the performance of data processing and analysis so that the information obtained is more and diverse. Business Intelligence Roadmap used as a method in this study and Neural Network Backpropagation that is applied as a data mining method. Information generated in the form of developments in productivity, utilization of cultivated land and distribution of RTP in each cultivation area as well as knowledge of the predictions of future aquaculture products can be utilized By Marine And Fisheries Departement Of South Sumatera Province in the decision making process or determining appropriate strategies and policies. Keywords : Marine and Fisheries Service, Business Intelligence, Business Intelligence Roadmap, Backpropagation Neural Network

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Marine and Fisheries Service, Business Intelligence, Business Intelligence Roadmap, Backpropagation Neural Network
Subjects: T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions: Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User: Administrator Library
Date Deposited: 25 Jul 2019 08:00
Last Modified: 02 Aug 2019 08:18
URI: http://repository.unsri.ac.id/id/eprint/764

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