DEA's HFLTS-Slack Super Efficiency Model for Prioritizing Activities

Authors

  • Dahlan Abdullah Department of Informatics, Universitas Malikussaleh, Aceh, Indonesia
  • Cut Ita Erliana Department of Industrial Engineering, Universitas Malikussaleh, Aceh, Indonesia

Keywords:

Benchmarking, Data Envelopment Analysis, Hesitant Fuzzy Linguistic Term Sets, Slack Super Efficiency, Good Governance

Abstract

Research on benchmarking is currently getting more and more attention, along with the need for optimal utilization of existing resources to achieve the best possible results. One of the benefits of benchmarking is the evaluation and quality assurance efforts of the results achieved from an activity. Benchmarking efforts are carried out to evaluate a part of an activity, whether it is efficient or not. It is important to study or evaluate an activity not only after it is finished but before it is carried out. So far, research has only focused on evaluating an activity after completion. Evaluating an activity before it is carried out is important, considering the limited budget available so that not all activities are eligible to be funded. So far, the model for evaluating existing activities only focuses on quantitative inputs and outputs. Evaluating activities before they are carried out sometimes requires input from the community and experts. The existing input is not only in the form of numbers or quantitatively. However, existing assessments can also be given qualitatively and involve many parties.Existing benchmarking models have not been able to accommodate this. One excellent benchmarking method is Data Envelopment Analysis (DEA). Still, this method has limitations in that it can only handle quantitative data and cannot accommodate assessments from many parties, even though it is possible that one of the variables in this benchmarking concerns assessment from the public or experts. Therefore, this study will combine Hesitant Fuzzy Linguistic Terms Sets (HFLTS)-Slack Super Efficiency DEA, where HFLTS increases DEA's ability to receive input and output from many parties, not only quantitative but also qualitative, and even each appraiser has a different assessment with varying levels of confidence in the assessment, while Slack Super Efficiency can determine priority scales of activities based on the results of the HFLTS-DEA. This research will be useful findetermining the priority scale of activities, one of which is determining the priority scale of activities at Malikussaleh University. What needs to be understood is that the resulting model will be made into a web-based software so that the software can be adjusted based on needs, input, and output and receive various input from many parties, both quantitative and qualitative. Through this research, it is hoped that the HFLTS-Super Efficiency DEA model can produce good evaluation principles and good governance so that every activity that is financed either from internal organizational funds or from taxes paid by the community can be carried out properly and can be determined which activities are truly a priority. to be held and which ones can be postponed or even not held.

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Published

16.07.2023

How to Cite

Abdullah, D. ., & Erliana, C. I. . (2023). DEA’s HFLTS-Slack Super Efficiency Model for Prioritizing Activities. International Journal of Intelligent Systems and Applications in Engineering, 11(3), 833–840. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3339

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Research Article

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