Penerapan Sistem Pendukung Keputusan Berbasis Kecerdasan Buatan Untuk Penentuan Prioritas Penerima Bantuan Pendidikan Menggunakan Pendekatan Hybrid AHP dan Decision Tree

Authors

  • Muhammad Iqbal Batubara Institut Bisnis dan Teknologi Al Washliyah, Tapanuli Tengah, Sumatera Utara
  • Safran Matondang Institut Bisnis dan Teknologi Al Washliyah, Tapanuli Tengah, Sumatera Utara
  • Andrian Irsyan Institut Bisnis dan Teknologi Al Washliyah, Tapanuli Tengah, Sumatera Utara
  • Hendra Sahputra Institut Bisnis dan Teknologi Al Washliyah, Tapanuli Tengah, Sumatera Utara
  • Anna Basriyani Institut Bisnis dan Teknologi Al Washliyah, Tapanuli Tengah, Sumatera Utara

DOI:

https://doi.org/10.54367/means.v11i1.6589

Keywords:

Decision Support System, Artificial Intelligence, Analytical Hierarchy, Decision Tree, Educational Assistance

Abstract

Educational assistance distribution is one of the strategic efforts made by governments and educational institutions to improve equal access to education. However, in practice, the process of determining priority recipients often faces several problems, such as subjective assessment, inaccurate targeting, and limitations in processing complex and multidimensional criteria data. This condition creates an urgent need for the implementation of an objective, accurate, and adaptive decision support system based on artificial intelligence. This study aims to design and implement an artificial intelligence-based Decision Support System (DSS) to determine the priority recipients of educational assistance in a well-targeted manner. The approach used is a hybrid method combining the Analytical Hierarchy Process (AHP) and Decision Tree. The AHP method is utilized to determine the importance weight of each assessment criterion, such as economic condition, academic achievement, number of dependents, and social status, based on a structured and consistent priority level. Furthermore, the Decision Tree algorithm is used to perform classification and make final decisions based on the weighted data patterns of assistance recipients.The research methodology includes the stages of data collection, determination of criteria and subcriteria, weight calculation using AHP, development of the Decision Tree classification model, and accuracy testing and validation of the system results. The system implementation is expected to produce recommendations for educational assistance recipients that are transparent, objective, and easy for policymakers to understand.

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Published

2026-07-30

How to Cite

Batubara, M. I., Matondang, S. ., Irsyan, A. ., Sahputra, H. ., & Basriyani, A. . (2026). Penerapan Sistem Pendukung Keputusan Berbasis Kecerdasan Buatan Untuk Penentuan Prioritas Penerima Bantuan Pendidikan Menggunakan Pendekatan Hybrid AHP dan Decision Tree. MEANS (Media Informasi Analisa Dan Sistem), 11(1), 72–77. https://doi.org/10.54367/means.v11i1.6589

Issue

Vol. 11 No. 1 (2026): Edisi Juni 2026

Section

Daftar Artikel

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Copyright (c) 2026 Muhammad Iqbal Batubara, Safran Matondang, Andrian Irsyan, Hendra Sahputra, Anna Basriyani

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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