AI CHATBOT INTEGRATION ON THE NEW STUDENT ADMISSIONS INFORMATION LANDING PAGE OF MUHAMMADIYAH UNIVERSITY OF TASIKMALAYA TO IMPROVE SERVICE EFFICIENCY

Authors

  • Syahid Jundulloh Faculty of Information Technology Education, Muhammadiyah University of Tasikmalaya, Tasikmalaya, Indonesia
  • Muhammad Taufiq Faculty of Information Technology Education, Muhammadiyah University of Tasikmalaya, Tasikmalaya, Indonesia
  • Alfadl Habibie Faculty of Information Technology Education, Muhammadiyah University of Tasikmalaya, Tasikmalaya, Indonesia
  • Sulidar Fitri Faculty of Information Technology Education, Muhammadiyah University of Tasikmalaya, Tasikmalaya, Indonesia
  • Taofik Muhammad Faculty of Information Technology Education, Muhammadiyah University of Tasikmalaya, Tasikmalaya, Indonesia
  • Milah Nurkamilah Faculty of Information Technology Education, Muhammadiyah University of Tasikmalaya, Tasikmalaya, Indonesia
  • Yana Mulyana Faculty of Information Technology Education, Muhammadiyah University of Tasikmalaya, Tasikmalaya, Indonesia
  • Siti Dhalia Mohd Satar Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200, Malaysia

DOI:

https://doi.org/10.37231/myjcam.2026.9.1.168

Keywords:

AI, landing page, new student admission, service efficiency, higher education

Abstract

This study aims to improve the efficiency of new student admission (PMB) information services by integrating an AI-based chatbot into the PMB landing page of Universitas Muhammadiyah Tasikmalaya. The research follows the ADDIE development model through five stages: Analysis, Design, Development, Implementation, and Evaluation. Data were collected via observation, interviews, documentation, and questionnaires. The system was evaluated using the PIECES framework and Likert scale to assess system performance, user satisfaction, and service efficiency. The results showed a significant improvement in response time and user engagement after the chatbot was implemented. This AI-based chatbot proved to be an effective solution to modernize PMB services, reduce workload on staff, and provide 24/7 access to accurate and structured information.

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Published

2026-03-31

Issue

Vol. 9 No. 1 (2026): Malaysian Journal of Computing and Applied Mathematics

Section

Articles

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Copyright (c) 2026 Malaysian Journal of Computing and Applied Mathematics

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