Raja Zaid Ibnu Zarier Ismail
Universitas Islam Negeri Sultan Syarif Kasim Riau

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Implementation of Analytic Hierarchy Process Method In the Decision Support System for Selecting Department in University Syahida Nurhidayarnis; Anisa Putri; Raja Zaid Ibnu Zarier Ismail; Meisya Delila Br Ginting; Walovi Lestari Nurrafa
IJATIS: Indonesian Journal of Applied Technology and Innovation Science Vol. 1 No. 2 (2024): IJATIS August 2024
Publisher : Institut Riset dan Publikasi Indonesia (IRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijatis.v1i2.1138

Abstract

Every year, high school graduates show a strong desire to pursue higher education. However, many of them experience limitations in choosing a Department or study program, creating the "Wrong Department" phenomenon and facing a serious dilemma. The selection of a Department in the Faculty of Science and Technology is considered a crucial stage in the academic journey. Errors in decision-making not only affect students' career development, but also have implications for their contribution to the progress of society and the world. In this case, a systematic and measurable approach is needed to provide assistance to prospective students in making the right decision in choosing a Department. Decision Support System (DSS) becomes a crucial instrument in overcoming the complexity of the decision-making process. One method that is often applied in DSS is the Analytic Hierarchy Process (AHP). AHP helps to explicitize key factors through the formation of a hierarchy of relevant criteria, but in situations of uncertainty, Fuzzy Logic is integrated. Fuzzy Logic allows handling data uncertainty by modeling it as a membership variable in a set. The results of this study show that the most influential criteria in choosing a Department are interest and talent.