Charakter Variable Model Determination of Regional Potential Decisions using Driven Data
Taufiq1, Herman Mawenkang2, M. Zarlis3, Saib Suwilo4
1Taufiq, USU & Camp. TI S Student and Lectures, Electrical Engineering, Malikusaleh University, Indonesia.
2Herman Mawenkang, Faculty of Computer and IT Sciences, University of Sumatera Indonesia.
3M. Zarlis, Faculty of Computer and IT Sciences, University of Sumatera Indonesia.
4Saib Suwilo, Faculty of Computer and IT Sciences, University of Sumatera Indonesia.
Manuscript received on 29 September 2019 | Revised Manuscript received on 08 October 2019 | Manuscript Published on 22 October 2019 | PP: 353-357 | Volume-8 Issue-3S October 2019 | Retrieval Number: C10751083S19/2019©BEIESP | DOI: 10.35940/ijrte.C1075.1083S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Regional potential is an ability that exists in an area that can be developed and is able to provide benefits to the people of the area which includes agriculture, plantation and fisheries. Regional potential is also a supporter of the national economy and optimal management planning is needed. The problem that arises in regional potential management planning is that the data to be processed is large-scale data and there is uncertainty. To overcome this problem, Data Driven is needed so that the Charakter Variable Model is Determined for Decision of Regional Potential Using Data Driven Case Study of Bireuen District, Aceh Province, July District. The desire to improve human decision making motivates the development of various modeling tools in economic disciplines, operations research, decision theory, decision analysis, and statistics. In each of these modeling tools, knowledge of a system is represented by algebraic, logical or statistical variables. Interactions between these variables are expressed by logical equations or rules, which may be enhanced by explicit representations of uncertainty, such as air, the state of natural potential.
Keywords: Regional Potential, Data Driven, Decision, Varchar.
Scope of the Article: Data Warehousing