Decision Support System for Election of OSIS Chair for Muhammadiyah Schools Using the Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) Method

Authors

  • Winda Suci Lestari Nasution Universitas Esa Unggul
  • Patriot Nusa STIEB Perdana Mandiri Purwakarta

DOI:

https://doi.org/10.32734/jocai.v6.i2-9071

Abstract

OSIS (Organisasi Intra Sekolah) is an official Student Council, which found in every school in Indonesia. The problem to be solved in a school is the need for an OSIS as a forum for students in schools to achieve the goals of coaching and developing students in accordance with the school's vision and mission. The main task of OSIS task is to achieve the goals in accordance with the school's vision and mission, therefore OSIS chair should have competencies and skills. The right decisions are needed for the implementation of the school's vision and mission. This first stage of research is performed by doing interview and survey to determine the criteria of OSIS chair. Based on interview and questionnaire has indicate that the student council member elects the chair based on several criteria consist of managerial ability, responsibility, communication and cooperation as well as discipline. The method proposed in the selection of the OSIS chairperson using simple multi attribute rating technique exploiting rank (SMARTER) approach and using Rank Order Centroid (ROC) weighting. The result of this study indicates that 75% of OSIS coaches and members need a decision-making system that can assist OSIS in making computerized decisions in determining the next OSIS chair candidate.

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Published

2022-07-31 — Updated on 2022-10-26

How to Cite

Winda Suci Lestari Nasution, & Patriot Nusa. (2022). Decision Support System for Election of OSIS Chair for Muhammadiyah Schools Using the Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) Method. Data Science: Journal of Computing and Applied Informatics, 6(2), 96-110. https://doi.org/10.32734/jocai.v6.i2-9071

Issue

Vol. 6 No. 2 (2022): Data Science: Journal of Computing and Applied Informatics (JoCAI)

Section

Articles

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