Open AccessDecision Support System for Quran Teacher Selection Using Profile Matching Method on TPQ Anbata
Author(s) -
Helmi Kurniawan,
Lili Tanti,
_ Fujiati,
Fhery Agustin,
Iwan Fitrianto Rahmad
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1361/1/012011
Subject(s) - selection (genetic algorithm) , reading (process) , fluency , value (mathematics) , mathematics education , quality (philosophy) , computer science , psychology , matching (statistics) , pedagogy , artificial intelligence , mathematics , statistics , linguistics , machine learning , epistemology , philosophy
Al-Quran Reading Park (TPQ) Anbata is a reading park with a Quranic learning system that has an educational system of recitation values, reading fluency, Adab Values Reading reading, Attitude Values and Worship Value. The selection of the Koran teacher in the Anbata Al-Quran Reading Park (TPQ) is through a rigorous selection to guarantee the quality of its students. But sometimes these things are relatively balanced, causing new problems, namely the difficulty of determining the right quran teacher to be positioned as a teacher. Therefore a Decision Support System is needed that can provide recommendations for considering the selection of Quran teachers. In this case using the Profile Matching method. The method works by using the level of importance of a value needed to become a quran teacher. Calculations on this method produce the best value that meets the assessment criteria to be used as a recommendation for the selection of quran teachers in the Anbata Al-Quran Reading Park (TPQ).