Rancang Bangun Sistem Tanya-jawab Berbasis Aturan STMIK Muhammadiyah Paguyangan Brebes  dengan Menggunakan Telegram Chatbot

Fauzan Ishlakhuddin; Azhar Basir; Nurlaela Nurlaela

doi:10.30591/jpit.v5i3.2900

Rancang Bangun Sistem Tanya-jawab Berbasis Aturan STMIK Muhammadiyah Paguyangan Brebes dengan Menggunakan Telegram Chatbot

Fauzan Ishlakhuddin, Azhar Basir, Nurlaela Nurlaela

Abstract

An educational institution should have an academic service system that is easy, accurate and fast in serving documents related to lecture information such as: Kartu Renrana Studi (KRS) and Kartu Hasil Studi (KHS) which will indirectly support the smooth teaching and learning activities. One of solution is to design an automated service system that can be accessed and served anytime, anywhere, and from anywhere, such as a chatbot. The method used in the design of this chatbot is to use a rule-based method to determine the answer (action) to be taken next. The main emphasis of this research only focuses on information services for the Biro Administrasi Akademik (BAAK). From the results of the adoption of this rule-based chatbot, a fairly high level of accuracy is obtained, which is up to 98.95% success rate (accuracy of answers) from 96 times of testing with different schemes.

Keywords

Chatbot, Sistem Tanya-jawab, Basis Aturan, Question Answer, Rule-based

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References

A. Augello, G. Pilato, G. Vassallo, and S. Gaglio, “Chatbots as Interface to Ontologies,” Adv. Intell. Syst. Comput., vol. 260, pp. 285–299, 2014.

F. Ishlakhuddin, “Chatbot Berbasis Ontologi untuk Mendukung Pemantauan Kinerja dan Keamanan Server dengan Rule-Base,” Universitas Gadjah Mada, 2020.

J. Allen, Natural Language Understanding (2nd Ed.). Redwood City, CA, USA: Benjamin-Cummings Publishing Company, 1995.

P. Kordjamshidi, J. Hois, M. van Otterlo, and M.-F. Moens, “Learning to Interpret Spatial Natural Language in terms of Qualitative Spatial Relations,” Represent. Sp. Cogn., pp. 115–146, 2014.

M. H. P. Swari, “Sistem Diagnosis Penyakit Gigi dan Mulut menggunakan Kombinasi Case Based Reasoning dan Rule Based Reasoning,” Universitas Gadjah Mada, 2014.

H. R. Sakinnah, “Rule Based System dengan Prediksi Learning Style Berdasarkan Metakognitif,” 2016.

S. Quarteroni and S. Manandhar, “A Chatbot-based Interactive Question Answering System,” Decalog, pp. 83–90, 2007.

R. K. J. Bendi, “Sistem question answering sederhana berbasis ontologi sebagai aplikasi web semantik,” Universitas Gadjah Mada, 2010.

I. W. D. Suryawan, “Sistem Question Answering Menggunakan Pendekatan Berbasis Pengetahuan,” Universitas Gadjah Mada, 2013.

M. I. Siami, “Sistem Question Answering Fiqih Berbasis Ontologi dengan Klasifikasi Pertanyaan menggunakan Support Vector Machine,” Universitas Gadjah Mada, 2014.

S. Muttaqin, “Sistem Question Answering Data Kabupaten Di Nusa Tenggara Barat Berbasis Multi-Ontologi,” Universitas Gadjah Mada, 2016.

A. Winantu, “Pengembangan Purwarupa Semantic Search menggunakan Semantic Web Rule Language untuk Pencarian Informasi Produk,” Universitas Gadjah Mada, 2014.

DOI: https://doi.org/10.30591/jpit.v5i3.2900