PENERAPAN BUSINESS INTELLIGENCE UNTUK MEMONITORING PRODUKTIVITAS TANAMAN PANGAN PADA DINAS TANAMAN PANGAN, HORTIKULTURA DAN PETERNAKAN KABUPATEN MUSI BANYUASIN

IMANI, FADILAH NUR and Tania, Ken Ditha (2020) PENERAPAN BUSINESS INTELLIGENCE UNTUK MEMONITORING PRODUKTIVITAS TANAMAN PANGAN PADA DINAS TANAMAN PANGAN, HORTIKULTURA DAN PETERNAKAN KABUPATEN MUSI BANYUASIN. Undergraduate thesis, Sriwijaya University.

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Abstract

Food Crops, Horticulture and Farming Department of Musi Banyuasin Regency is a government institution that has the authority to manage, monitor and inform about the production and post-production processes regarding food crops, horticulture and farming. This study focuses on the food crops sector which is known still lacking in terms of existing potential use, start from the utilization of land, utilization of special food crops up to the marketing of commodities from the production phase. One of the causes of this problem is a simple data processing that generates non-optimal information to support decision making related to the development and utilization of food crops potential. Problems can be solved by applying the concept of Business Intelligence that has the capability in data analysis and visualization that fit with the needs of the institution. In this Business Intelligence application, the method that is used is Business Intelligence Roadmap and k-Medoids algorithm which is used to classify districts based on the productivity of their food crop commodities. From the results of grouping using k-Medoid, new knowledge is obtained and the results can help the institution in decisions and policies making process.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Tanaman Pangan, Business Intelligence, Business Intelligence Roadmap, Clustering K-Medoids
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems > T58.6 General works Industrial engineering Information technology. Information systems (General) Management information systems -- Continued
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Users 3866 not found.
Date Deposited:	08 Jan 2020 02:43
Last Modified:	08 Jan 2020 02:43
URI:	http://repository.unsri.ac.id/id/eprint/23498

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