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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics PROCEEDING IC-ITECHS 2014 SMATIKA Jurnal Kajian Pembelajaran Matematika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Digital Zone: Jurnal Teknologi Informasi dan Komunikasi SPIRIT Jurnal Abdimas Mahakam Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Prima Abdika: Jurnal Pengabdian Masyarakat Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal Informatika: Jurnal Pengembangan IT Jeskovsia (Jurnal Desain Komunikasi Visual Asia) Jurnal ilmiah teknologi informasi Asia
Fadhli Almu’iini Ahda
Institut Teknologi Dan Bisnis Asia Malang
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : PROCEEDING IC-ITECHS 2014

 1 
Design of an Academic Services Chatbot at Asia Institute Malang Djawa, Antonio Eka Wadu; Ahda, Fadhli Almu'iini
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1642

Abstract

This study successfully developed and evaluated an academic services chatbot utilizing Natural Language Processing (NLP) and Artificial Neural Networks (ANN), showcasing a comprehensive methodology that encompassed data collection, preprocessing, model training, and performance evaluation. We meticulously derived the dataset from frequently asked questions at the Asia Institute of Technology and Business Malang, ensuring its relevance and applicability to the target audience. Rigorous preprocessing techniques, including tokenization, stemming, and stop words removal, were employed to enhance the quality of the input data for the ANN model, which significantly improved its performance. The training results revealed a strong correlation between the number of training epochs and the accuracy of the chatbot's responses, indicating that increased training led to enhanced performance. Furthermore, a Cronbach's Alpha coefficient of 0.965 confirmed the validity and reliability of the measurement tool for user feedback, highlighting the robustness of the collected data. User testing involving 37 students indicated a high level of satisfaction with the chatbot's performance, as it achieved a perfect accuracy score of 100%. These findings highlight the potential of NLP-based chatbots to enhance academic information services, effectively addressing student inquiries while significantly reducing the workload on academic staff. This study serves as a valuable model for other educational institutions aiming to implement AI-powered solutions to improve their academic support services and overall student experience.
Telegram FAQ Chatbot Design for Budi Mulia Lawang Junior High School Mahadwija, Adecya Jalu; Ahda, Fadhli Almu’iini
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1643

Abstract

This study effectively created and assessed an academic services chatbot that employs Natural Language Processing (NLP) and Artificial Neural Networks (ANN). It demonstrates a thorough methodology that includes data collection, preprocessing, model training, and performance evaluation. The dataset was meticulously derived from frequently asked questions at the Institute of Business and Technology Asia Malang, ensuring its relevance and applicability to the target audience. Thorough preprocessing methods, such as tokenization, stemming, and the removal of stop words, were utilized to elevate the quality of the input data for the ANN model, leading to a notable enhancement in its performance. The training outcomes demonstrated a significant relationship between the number of training epochs and the accuracy of the chatbot's responses, suggesting that more extensive training resulted in improved performance. Additionally, the measurement tool employed for user feedback demonstrated confirmed validity and reliability, evidenced by a Cronbach's Alpha coefficient of 0.965, highlighting the strength of the data gathered. A study conducted with 37 students revealed a significant level of satisfaction regarding the chatbot's performance, which attained an impeccable accuracy score of 100%. The results underscore the promise of chatbots powered by natural language processing to improve academic information services, efficiently responding to student questions and markedly alleviating the burden on academic personnel. This study provides a significant framework for educational institutions looking to adopt AI-driven solutions to enhance their academic support services and enrich the student experience.
Co-Authors Achmad Noercholis Achmad Noercholis Aji Prasetya Wibawa Andika Dwiyanto, Felix Andrew Nafalski Danang Sulistyo Didik Dwi Prasetya Djawa, Antonio Eka Wadu Fariz Aulia Rahman Farokhah, Lia Fitria, Vivi Aida Fransiska Sisilia Mukti Gandes Nawang Sari I Nyoman Gede Arya Astawa Ibrohim Ida Wahyuni Lia Farokhah Lilis Widayanti Lukman Hakim Machrus Tohir Machrus Tohir Mahadwija, Adecya Jalu Martshena Gema Martshena Gema, Martshena Miftachuniam . Moh Ashari Muhammad Rofiq Muhammad Rofiq Muhammad Rofiq Philip Faster Eka Adipraja Puji Subekti Rina Dewi Indah Sari Saiful Bahri Setyorini Setyorini Suastika Yulia Riska Sulistyo, Danang Arbian Sulthan Shidqi Sulthan Shidqi Sunu Jatmika Wahyuni, Ida