PENERAPAN ARTIFICIAL INTELLIGENCE PADA CHATBOT PANDUAN BIDANG AKADEMIK MENGGUNAKAN ALGORITMA FORWARD CHAINING

Authors

  • Cut Rossa Putri Universitas Teuku Umar Meulaboh
  • Muhammad Ardiansyah UTU Meulaboh
  • Mirza Purnandi Universitas Ubudiyah Indonesia

DOI:

https://doi.org/10.33143/jics.v10i1.3981

Abstract

Penelitian ini mengimplementasikan kecerdasan buatan dalam bentuk chatbot panduan akademik via WhatsApp, menggunakan algoritma forward chaining dan framework Laravel. Metode pengujian meliputi blackbox, whitebox, dan system usability scale, dengan desain waterfall dan visualisasi seperti DFD, ERD, dan flowchart. Data diperoleh dari kuisioner dan wawancara di Universitas Teuku Umar. Chatbot ini berhasil memberikan informasi penting seperti jurusan, penerimaan mahasiswa, pengurusan berkas, UKT, wisuda, dan lainnya, serta mengatasi kendala dalam pencarian informasi akademik. Dengan demikian, aplikasi chatbot yang dirancang untuk layanan akademik di Universitas Teuku Umar mampu memberikan informasi yang relevan seputar beragam topik. Sistem chatbot ini diharapkan dapat menjadi solusi efektif dalam mengatasi kendala-kendala yang mungkin muncul dalam proses mencari dan memahami informasi akademik di lingkungan kampus.

Kata Kunci: Chatbot, Artificial Intelligence, Forward Chaining, WhatsApp


This research implements artificial intelligence in the form of an academic guidance chatbot via WhatsApp, using a forward chaining algorithm and the Laravel framework. Testing methods include black box, white box, and system usability scale, with waterfall design and visualization such as DFD, ERD, and flowcharts. Data was obtained from questionnaires and interviews at Teuku Umar University. This chatbot succeeded in providing important information such as majors, student admissions, file management, UKT, graduations, and others, as well as overcoming obstacles in searching for academic information. Thus, the chatbot application designed for academic services at Teuku Umar University is able to provide relevant information about various topics. It is hoped that this chatbot system can be an effective solution in overcoming obstacles that may arise in the process of searching for and understanding academic information in the campus environment.

Keywords: Chatbot, Artificial Intelligence, Forward Chaining, WhatsApp

References

Kristiyan, Y., & Bachtiar, D. I. 2020. Analisis Kualitas Pelayanan pada Bagian Akademik Politeknik Sawunggalih Aji Purworejo. AKSES: Jurnal Ekonomi Dan Bisnis. 14(2).

Amrullah, A. Z., Anas, A. S., & Primajati, G. 2022. Implementasi Chatbot sebagai Virtual Assistant Penerimaan Mahasiswa Baru pada Universitas Bumigora. Jurnal Bumigora Information Technology (BITe). 4 (1) : 17-26.

Muliyono, M. 2021. Identifikasi Chatbot dalm Meningkatkan Pelayanan Online Menggunakan Metode Natural Language Processing. Jurnal Informatika Ekonomi Bisnis. 3 (4) : 142-147.

Imamah, F., & Dores, A. 2018. Aplikasi Chatbot (Milki Bot) Yang Terintegrasi Dengan Web CMS untuk Customer Service Pada UKM MINSU.Jurnal Cendikia. 16 : 100-106.

Pasaribu, M., & Widjaja, A. 2022. Artifial Intelligence : Perspektif Manajemen Strategis. PT Gramedia, Jakarta.

Salam, M. 2020. WhatsApp: Kehadiran, aktivitas belajar, dan hasil belajar. Jurnal Pendidikan Matematika. 11(2) : 198-212.

Sidik, M., Gunawan, B., & Anggraini, D. 2021. Pembuatan Aplikasi Chatbot Kolektor dengan Metode Extreme Programming dan Strategi Forward Chaining. Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK). 8 (2) : 293-302.

Downloads

Published

2024-04-01

Issue

Vol. 10 No. 1 (2024): April 2024

Section

Articles

License

COPYRIGHT TRANSFER FORM

The copyright to this article is transferred to Universitas Ubudiyah Indonesia (UUI) if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights to UUI. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment.

We declare that:

  1. This paper has not been published in the same form elsewhere.
  2. It will not be submitted anywhere else for publication prior to acceptance/rejection by this Journal.
  3. A copyright permission is obtained for materials published elsewhere and which require this permission for reproduction.

Furthermore, I/We hereby transfer the unlimited rights of publication of the above mentioned paper in whole to UUI. The copyright transfer covers the right to reproduce and distribute the article, including reprints, translations, photographic reproductions, microform, electronic form (offline, online) or any other reproductions of similar nature. The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.

Retained Rights/Terms and Conditions

  1. Authors retain all proprietary rights in any process, procedure, or article of manufacture described in the work.
  2. Authors may reproduce or authorize others to reproduce the work or derivative works for the author’s personal use or for company use, provided that the source and the UUI copyright notice are indicated, the copies are not used in any way that implies UUI endorsement of a product or service of any employer, and the copies themselves are not offered for sale.
  3. Although authors are permitted to re-use all or portions of the work in other works, this does not include granting third-party requests for reprinting, republishing, or other types of re-use.