基于模糊分析网络过程的自动化SWOT分析优化职业学校认证报告生成

A. Veronika Vena, K. Aryanto, I. N. Sukajaya
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引用次数: 0

摘要

SWOT(优势,劣势,机会和威胁)分析是一种常见的制表技术,用于评估战略规划和组织成功的内部和外部环境。教育机构需要SWOT分析来制定战略规划,以满足认证要求或良好的认证,并增加原始投入的数量。目前还没有专门的方法与SWOT分析相关,尤其是在职业学校鉴定报告中。此外,需要进行许多步骤,涉及多种资源,耗时的过程对SWOT分析报告的准确性产生了影响。为了提高职业学校认证报告的准确性,我们开发了基于模糊分析网络过程的自动化SWOT分析方法。模糊系统以被调查者的问卷回答作为输入,生成SWOT象限,然后利用FANP方法以SWOT象限为输出,生成策略的优先级。它使用8个变量作为输入,8个变量作为输出。这些数据是通过国家学校/伊斯兰学校认证委员会发布的认证工具收集的,该委员会用于评估实施2013年印度尼西亚课程的职业学校的管理系统。将系统输出与通过专家(认证认可评估员)收集的数据进行比较。结果表明,采用李克特量表对2组数据进行检验,系统与专家意见的准确率为84.78%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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.
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