Fuzzy Analytic Network Process-based Automatized SWOT Analysis for Optimizing Generation of Vocational school Accreditation Report

SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis is one of the common tabulation technique to evaluate internal and external environments for strategic planning and successfulness of an organization. Educational institution requires SWOT analysis to make strategic planning in order...

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Bibliographic Details
Published in2018 International Seminar on Intelligent Technology and Its Applications (ISITIA) pp. 257 - 262
Main Authors Veronika Vena, A, Aryanto, K.Y.E., Sukajaya, I.N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
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Summary:SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis is one of the common tabulation technique to evaluate internal and external environments for strategic planning and successfulness of an organization. Educational institution requires SWOT analysis to make strategic planning in order to meet accreditation requirements or well accredited and also to increase the number of raw input. There is still no particular method that related to SWOT analysis, especially in vocational school accreditation report. Furthermore, many steps have to be conducted, multiple resources involved, and time consuming processes have given impact on the accuracy of SWOT analysis report. We have developed a Fuzzy Analytic Network Process-based automatized SWOT analysis to improve the accuracy of vocational school accreditation report. The fuzzy system processed the respondent's questionnaire answers as the input, generating the SWOT quadrant, and then generated the priority of strategies based on the SWOT quadrant as the output using the FANP method. It used 8 variables as the input and 8 variables as its outputs. The data was collected through accreditation instruments issued by National School/Madrasah Accreditation Board which is used to evaluate the management system for vocational school that implements the Indonesian curriculum of 2013. The system output is compared to the data collected through the experts (certified accreditation assessor). The results showed that there was 84.78 % accuracy of the system compare with expert opinion using the likert-scale on 2 sets of data test.
ISBN:9781538676523
1538676524
DOI:10.1109/ISITIA.2018.8711144