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Performance Evaluation of 198 Village Governments using Fuzzy TOPSIS and Intuitionistic Fuzzy TOPSIS
Corresponding Author(s) : Wridhasari Hayuningtyas
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control,
Vol. 7, No. 2, May 2022
Abstract
Currently, volatility, uncertainty, complexity, and ambiguity (VUCA) have become unavoidable problems. In addition, knowledge or information that is not managed properly can result in inappropriate decision-making processes within an organization. Business Intelligence conception is then becoming an essential view for converting unstructured data and information into a more actionable strategic plan that allows organizations to make competitive decisions. Village Government (VG) is the smallest organization in the Indonesian government system because VG implemented regulation and development programs in all areas of a national government. VG executes a series of tasks every year starting from planning, budgeting, administrating, executing, and reporting. However, the important role of VG in the development of a country brings also some drawbacks such as corruption and other domino effects. Several factors have been identified that cause those problems such as lack of capabilities in managing village organization and human resources quality. Monitoring and evaluation regarding those VG performances normally have been done each year. However, measurable evaluation standard for VG performance until recently has not been determined nationally. This study is intended to make a comprehensive standard of village government performance assessment through a Good Governance Framework approach. This study involved 198 villages from Madiun Regency as a case study. Seventy-four measured parameters were proposed to evaluate VG performance mapping. Fuzzy TOPSIS is implemented to rank those 198 villages into 4 groups of VG performance levels. The fuzzy TOPSIS classification result has been validated by using manual scoring and the accuracy reached 86,4%.
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- Evangelos Triantaphyllou. Multi-Criteria Decision Making Methods: A Comparative Study. Department of Industrial and Manufacturing Systems Engineering, College of Engineering, Louisiana State University. ISBN 978-1-4757-3157-6. DOI 10.1007/978-1-4757-3157-6, 2000.
- Gwo-Hshiung Tzeng et al. Multiple Attribute Decision Making Methods and Applications. CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742, 2011.
- Minister of Home Affairs Regulation Number 12 of 2007 concerning Guidelines for Compilation and Utilization of Village and Sub-District Profile Data.
- Law Number 6 of 2014 concerning Villages.
- Minister of Home Affairs Regulation Number 114 of 2014 concerning Village Development Guidelines.
- Minister of Home Affairs Regulation Number 81 of 2015 concerning Evaluation of Village and Sub-District Developments.
- Charles G. Kamau et al. Efficacy of Monitoring and Evaluation Function in Achieving Project Success in Kenya: A Conceptual 18 Framework. Science Journal of Business and Management. Vol. 3, No. 3, 2015, pp. 82-94. DOI: 10.11648/j.sjbm.20150303.14, 2015.
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- Minister of Villages, Development of Disadvantaged Regions and Transmigration Regulation Number 2 of 2016 concerning the Index of Developing Villages.
- Houssine Tlig et al. A TOPSIS Method Based on Intuitionistic Fuzzy Values: A Case Study of North African Airports. Journal of Management Science Letters, 2017. DOI:10.5267/j.msl.2017.4.002.
- Regent of Madiun Regulation Number 78 of 2018 Concerning Guidelines for Village Financial Management.
- Dyah Budiastuti et al. Validity dan Reliability of Research. Jakarta: Mitra Wacana Media. ISBN: 978-602-318, 2018.
- Emad Abu-Shanab et al. The Influence of Knowledge Management Practices on E-Government Success: a Proposed Framework Tested. Journal of Transforming Government: People, Process and Policy, 2018. DOI 10.1108/TG-02-2018-0016
- Jingjing Du et al. Applying Organizational Ambidexterity in Strategic Management under a “VUCA” Environment: Evidence from High Tech Companies in China. International Journal of Innovation Studies, 2018. https://doi.org/10.1016/j.ijis.2018.03.003.
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- Manindra Rajak et al. Evaluation and Selection of Mobile Health (mHealth) Applications using AHP and Fuzzy TOPSIS. Journal of Technology in Society, 2019. https://doi.org/10.1016/j.techsoc.2019.101186.
- Mehrbakhsh Nilashi et al. Factors Influencing Medical Tourism Adoption in Malaysia: A DEMATEL Fuzzy TOPSIS Approach. International Journal of Computer and Industrial Engineering, 2019. https://doi.org/10.1016/j.cie.2019.106005.
- Ralf Müller. Governance, Governmentality and Project Performance: The Role of Sovereignty. International Journal of Information Systems and Project Management, 2019. DOI: 10.12821/ijispm070201.
- Minister of Home Affairs Regulation Number 72 of 2019 concerning Amendment of Minister of Home Affairs Regulation Number 137 of 2017 concerning The Code and Data of Government Administration Areas.
- Nova Rijati et al. Fuzzy Multi-Attribute Decision Making for Classification of Entrepreneurial Potential Based on Theory of Planned Behavior. National Journal of Electrical Engineering and Information Technology, 2020. DOI:10.22146/jnteti.v9i1.118.
- Ayu Tiara Suci et al. TOPSIS Fuzzy Method on Employee Recruitment Decision Making in PT. Global Solutions Enterprise. National Journal of Industrial Technology, 2020. DOI: https://doi.org/10.20885/teknoin.vol26.iss1.art2.
- Nova Rijati et al. A Decision Making and Clustering Method Integration based on the Theory of Planned Behavior for Student Entrepreneurial Potential Mapping in Indonesia. International Journal of Intelligent Engineering and Systems, 2020. DOI: 10.22266/ijies2020.0831.12.
- Mohamed El Alaoui. Fuzzy TOPSIS Logic, Approaches, and Case Studies. CRC Press, Taylor and Francis Group, Boca Raton, London, New York, 2021. DOI:10.1201/9781003168416.
- Ewa Roszkowska et al. Intuitionistic Fuzzy TOPSIS as a Method for Assessing Socioeconomic Phenomena on the Basis of Survey Data. Journal Entropy, 2021. https://doi.org/10.3390/e23050563.
- Lanndon Ocampo et al. Classifying The Degree of Exposure of Customers to COVID-19 in The Restaurant Industry: A Novel Intuitionistic Fuzzy Set Extension of The TOPSIS-Sort. Journal of Applied Soft Computing, 2021. https://doi.org/10.1016/j.asoc.2021.107906.
- Yanfang Niu. Organizational Business Intelligence and Decision Making using Big Data Analytics. Journal of Information Processing and Management, 2021. https://doi.org/10.1016/j.ipm.2021.102725.
- Wana Alamsyah. Corruption Case Enforcement Performance in 2020. Indonesia Corruption Watch Article, 2021.
References
Evangelos Triantaphyllou. Multi-Criteria Decision Making Methods: A Comparative Study. Department of Industrial and Manufacturing Systems Engineering, College of Engineering, Louisiana State University. ISBN 978-1-4757-3157-6. DOI 10.1007/978-1-4757-3157-6, 2000.
Gwo-Hshiung Tzeng et al. Multiple Attribute Decision Making Methods and Applications. CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742, 2011.
Minister of Home Affairs Regulation Number 12 of 2007 concerning Guidelines for Compilation and Utilization of Village and Sub-District Profile Data.
Law Number 6 of 2014 concerning Villages.
Minister of Home Affairs Regulation Number 114 of 2014 concerning Village Development Guidelines.
Minister of Home Affairs Regulation Number 81 of 2015 concerning Evaluation of Village and Sub-District Developments.
Charles G. Kamau et al. Efficacy of Monitoring and Evaluation Function in Achieving Project Success in Kenya: A Conceptual 18 Framework. Science Journal of Business and Management. Vol. 3, No. 3, 2015, pp. 82-94. DOI: 10.11648/j.sjbm.20150303.14, 2015.
Sorin Nadaban et al. Fuzzy TOPSIS: A General View. Procedia Computer Science 91 (2016) 823 – 831. Information Technology and Quantitative Management (ITQM 2016), 2016. DOI: 10.1016/j.procs.2016.07.088
Minister of Villages, Development of Disadvantaged Regions and Transmigration Regulation Number 2 of 2016 concerning the Index of Developing Villages.
Houssine Tlig et al. A TOPSIS Method Based on Intuitionistic Fuzzy Values: A Case Study of North African Airports. Journal of Management Science Letters, 2017. DOI:10.5267/j.msl.2017.4.002.
Regent of Madiun Regulation Number 78 of 2018 Concerning Guidelines for Village Financial Management.
Dyah Budiastuti et al. Validity dan Reliability of Research. Jakarta: Mitra Wacana Media. ISBN: 978-602-318, 2018.
Emad Abu-Shanab et al. The Influence of Knowledge Management Practices on E-Government Success: a Proposed Framework Tested. Journal of Transforming Government: People, Process and Policy, 2018. DOI 10.1108/TG-02-2018-0016
Jingjing Du et al. Applying Organizational Ambidexterity in Strategic Management under a “VUCA” Environment: Evidence from High Tech Companies in China. International Journal of Innovation Studies, 2018. https://doi.org/10.1016/j.ijis.2018.03.003.
Rathin B., et al. A Good Governance Framework For Urban Management. Journal of Urban Management, 2019. https://doi.org/10.1016/j.jum.2018.12.009.
Manindra Rajak et al. Evaluation and Selection of Mobile Health (mHealth) Applications using AHP and Fuzzy TOPSIS. Journal of Technology in Society, 2019. https://doi.org/10.1016/j.techsoc.2019.101186.
Mehrbakhsh Nilashi et al. Factors Influencing Medical Tourism Adoption in Malaysia: A DEMATEL Fuzzy TOPSIS Approach. International Journal of Computer and Industrial Engineering, 2019. https://doi.org/10.1016/j.cie.2019.106005.
Ralf Müller. Governance, Governmentality and Project Performance: The Role of Sovereignty. International Journal of Information Systems and Project Management, 2019. DOI: 10.12821/ijispm070201.
Minister of Home Affairs Regulation Number 72 of 2019 concerning Amendment of Minister of Home Affairs Regulation Number 137 of 2017 concerning The Code and Data of Government Administration Areas.
Nova Rijati et al. Fuzzy Multi-Attribute Decision Making for Classification of Entrepreneurial Potential Based on Theory of Planned Behavior. National Journal of Electrical Engineering and Information Technology, 2020. DOI:10.22146/jnteti.v9i1.118.
Ayu Tiara Suci et al. TOPSIS Fuzzy Method on Employee Recruitment Decision Making in PT. Global Solutions Enterprise. National Journal of Industrial Technology, 2020. DOI: https://doi.org/10.20885/teknoin.vol26.iss1.art2.
Nova Rijati et al. A Decision Making and Clustering Method Integration based on the Theory of Planned Behavior for Student Entrepreneurial Potential Mapping in Indonesia. International Journal of Intelligent Engineering and Systems, 2020. DOI: 10.22266/ijies2020.0831.12.
Mohamed El Alaoui. Fuzzy TOPSIS Logic, Approaches, and Case Studies. CRC Press, Taylor and Francis Group, Boca Raton, London, New York, 2021. DOI:10.1201/9781003168416.
Ewa Roszkowska et al. Intuitionistic Fuzzy TOPSIS as a Method for Assessing Socioeconomic Phenomena on the Basis of Survey Data. Journal Entropy, 2021. https://doi.org/10.3390/e23050563.
Lanndon Ocampo et al. Classifying The Degree of Exposure of Customers to COVID-19 in The Restaurant Industry: A Novel Intuitionistic Fuzzy Set Extension of The TOPSIS-Sort. Journal of Applied Soft Computing, 2021. https://doi.org/10.1016/j.asoc.2021.107906.
Yanfang Niu. Organizational Business Intelligence and Decision Making using Big Data Analytics. Journal of Information Processing and Management, 2021. https://doi.org/10.1016/j.ipm.2021.102725.
Wana Alamsyah. Corruption Case Enforcement Performance in 2020. Indonesia Corruption Watch Article, 2021.