School Finder, Intelligent Recommendation System for Elementary School Selection

Limanto, Susana and Asmawati, Endah and Putra, Yusuf Wira Kencana (2022) School Finder, Intelligent Recommendation System for Elementary School Selection. In: 3rd biannual International Conference on Informatics, Technology, and Engineering 2021 (InCITE 2021), August 25-26, 2021, Surabaya (Online).

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Children aged 6-7 years cannot yet choose the right elementary school for themselves. Therefore, the role of parents is needed. Every parent usually has a lot of consideration (criteria) in determining the best elementary school for their child. In addition, the number of elementary schools in a city is also significant, and each offers interesting and different advantages and privileges. The number of elementary schools in a city makes it difficult for parents to choose the best elementary school for their children. Many applications have been developed to help parents overcome difficulties in selecting an elementary school. However, many inputs must make the application less attractive to use, especially since the available elementary school options are limited. "School Finder" was created to assist parents in choosing the best elementary school according to the given criteria with minimal input and dynamic elementary school presence. The recommendation is determined using the Analytical Hierarchy Process (AHP) method. Based on the validation results to parents of elementary school students, more than 96% of respondents stated that the School Finder application could provide detailed information about the school. The criteria given are by the parents' wishes. The application is easy to understand and use. Overall, the application helps parents to choose primary schools for their children.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: elementary school, recommendation, analytical hierarchy process, school finder, decision support system
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering > Department of Informatic
Depositing User: Susana 6169
Date Deposited: 27 Apr 2022 07:38
Last Modified: 06 Apr 2023 07:19

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