Development of a Web and Mobile Rule-Based Expert System for Vocational School Academic Supervision

Authors

  • Yudi Yansyah Al Basri Universitas Pakuan Bogor
  • Bibin Rubini Universitas Pakuan Bogor
  • Rais Hidayat Universitas Pakuan Bogor

DOI:

https://doi.org/10.61255/jupiter.v4i3.1365

Keywords:

Academic Supervision, Android Application, Artificial Intelligence, Teacher Performance

Abstract

Purpose: This study develops a hybrid digital solution named BASRI (Best Academic Supervision with Recommendation using Intelligence) to resolve administrative inefficiencies and delayed feedback in the conventional academic supervision framework at SMK PGRI 1 Kota Bogor. Methods: Methodologically, an algorithmic Research and Development (R&D) pathway framed within the ADDIE framework was executed based on a preliminary needs assessment of 34 educators. Findings: Product validation confirmed the application is highly feasible, scoring 90.0% for material substance and 93.8% for media engineering. Subsequent field testing demonstrated exceptional operational practicality, achieving satisfaction ratings of 95.0% from the principal and 95.6% from 20 participating teachers. Furthermore, a Paired Sample T-Test revealed significant structural improvements in teaching outputs, with Learning Effectiveness increasing from 4.30 to 4.65, and Management Efficiency advancing from 4.32 to 4.73 (Sig. 2-tailed = 0.000 < 0.05).  Research Implications: In conclusion, integrating an automated expert logic matrix within the supervisory workflow successfully shifts institutional administrative culture from passive, retrospective reporting to a responsive, real-time mentorship dynamic. Originality: Unlike conventional digital forms that merely digitize paperwork, BASRI introduces a novel Rule-Based AI expert system that automatically analyzes observation scores to diagnose pedagogical weaknesses and instantly delivers personalized professional development video recommendations to teachers. This system provides vocational institutions with an adaptable architectural blueprint to sustain micro-level continuous professional development and high-scientific advancement.
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Published

2026-07-07

How to Cite

Yansyah Al Basri, Y., Rubini, B., & Hidayat, R. (2026). Development of a Web and Mobile Rule-Based Expert System for Vocational School Academic Supervision. Jurnal Pendidikan Terapan, 4(3), 164–171. https://doi.org/10.61255/jupiter.v4i3.1365

Issue

Vol 4, No 3 July (2026)

Section

Articles

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Copyright (c) 2026 Yudi Yansyah Al Basri, Bibin Rubini, Rais Hidayat

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