Analytical hierarchy process (AHP) in Expert Choicefor determining superior plantation commodities:A case in East Kolaka Regency, Indonesia
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Creator 1. Dhian Herdhiansyah
2. Sudarmi
3. Sakir
4. Asriani
5. La Ode Midi
Title Analytical hierarchy process (AHP) in Expert Choicefor determining superior plantation commodities:A case in East Kolaka Regency, Indonesia
Publisher Research and Development Office, Prince of Songkla University
Publication Year 2565
Journal Title Songklanakarin Journal of Science an Technology (SJST)
Journal Vol. 44
Journal No. 4
Page no. 923-928
Keyword Expert Choice 11, analytical hierarchy process, leading plantation commodities
URL Website https://rdo.psu.ac.th/sjst/index.php
ISSN 0125-3395
Abstract This study aims to determine eminent commodity plantations in East Kolaka, Indonesia, with consideration criterialeading the commodities to include cocoa, coffee, coconut, and palm oil as alternatives. The method used is analytical hierarchyprocess (AHP) based on Expert Choice 11 software. The AHP is a method of decision-making on the problem of determiningpriority options from various alternatives. The use of AHP begins by creating a hierarchical structure of the problem to bestudied. The pairwise comparison matrix is used to form relationships in the structure. In the pairwise comparison matrix, theweight of each criterion is sought by normalizing the pairwise comparison matrix. The maximum eigenvalues and normalizedeigenvectors will be obtained from the matrix. In the process of determining the hierarchical weighting factor as well as theevaluation factor, a consistency test must be carried out with CR<0.100. The relative weighing of selection criteria was: eligiblefor business development (EBD) 26.7%, contribution to community income (CCI) 18.0%, value-added (VA) 13.3%, localgovernment policy (LGP) 11.0%, land suitability (LS) 10.5%, market orientation (MO) 10.7%, and 9.7% towardsenvironmentally-friendly (TEF) criteria. The relative selection rates of the leading commodities in East Kolaka Regency, werecocoa (52.7%), oil palm (18.6%), coconut (13.9%), and coffee (14.7%).
Songklanakarin Journal of Science and Technology (SJST)

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