Skip to main navigation Skip to search Skip to main content

Decision Support System Using Fuzzy Logic Method of Tahani Model for Student Selection

  • Rizaldi*
  • , Dewi Anggraeni
  • , Arridha Zikra Syah
  • , Abdul Kholiq
  • , Raja Tama Andri Agus
  • *Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Tahani model of fuzzy database is one of the methods used for the making decision process. On this occasion, the researcher used the fuzzy database tahani model to build a DSS for the selection of new candidate students at the SMP Taman Siswa Kisaran. SMP is junior high school. This system was built to recommend to principals about new candidate students who are eligible to be accepted. Some of the main variables that form the basis of calculation, namely the average elementary school diploma, including Mathematic score, Indonesian Language score, and Pancasila Education score. The Other variables are Academic Test score and Religious Education Test score. The result of the system recommendations is based on the value of membership and fire strength from the calculation process in the system. To ensure the feasibility of the system, testing the result of the system calculations and comparing them with the results of calculations manually. If the result of the system calculation is the same as the result of the manual calculation, then the decision support system for the selection of new candidate students is feasible to be applied at the SMP Taman Siswa Kisaran.

Original languageEnglish
Article number012011
JournalJournal of Physics: Conference Series
Volume1783
Issue number1
DOIs
Publication statusPublished - 12 Feb 2021
Externally publishedYes
Event2020 Annual Conference on Science and Technology Research, ACOSTER 2020 - Medan, North Sumatera, Indonesia
Duration: 20 Jun 202021 Jun 2020

Fingerprint

Dive into the research topics of 'Decision Support System Using Fuzzy Logic Method of Tahani Model for Student Selection'. Together they form a unique fingerprint.

Cite this