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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Information Technology and Telematics Dinamik Sisforma: Journal of Information Systems Proceeding SENDI_U Sistemasi: Jurnal Sistem Informasi Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) SOSCIED Community Engagement and Emergence Journal (CEEJ) Jurnal Sistem Komputer dan Informatika (JSON) Aiti: Jurnal Teknologi Informasi Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Bestari (JPMB) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Pelita: Jurnal Pengabdian kepada Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Kristophorus Hadiono
Universitas Stikubank
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
Natural Language Understanding for School Bullying Detection and Consultation: A DIET Classifier Approach in RASA Framework Irawan, Yoan Freddy; Hadiono, Kristophorus
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.4730

Abstract

This research presents the development and implementation of a DIET classifier-based chatbot system using the RASA Framework to handle bullying reports at SMP Negeri 3 Ungaran. The system aims to provide 24/7 automated counseling support service, addressing the limitations of traditional human-to-human support systems that often result in delayed responses and reduced user satisfaction. The model was trained using a structured dataset comprising 61 dialogue examples collected through interviews with experienced guidance and counseling teachers, capturing authentic student communication patterns related to bullying issues. The evaluation results demonstrate exceptional performance, achieving 100% accuracy across 12 intent categories, with perfect precision and recall scores. The system successfully distinguishes between various emotional states and counseling needs, providing appropriate responses with high confidence levels. The intent categories include emotional expressions (merasa_dibully, merasa_sedih, merasa_takut), support-seeking behaviors (butuh_nasihat, ingin_bicara_dengan_guru), and conversational elements, ensuring comprehensive coverage of bullying-related communication scenarios. This implementation proves that AI-driven solutions can effectively support educational institutions in providing immediate, accessible counseling assistance while maintaining accuracy in emotional support and bullying prevention. This research contributes to the field of computer science by demonstrating the practical application of natural language understanding frameworks in sensitive educational contexts, advancing AI-driven counseling systems that can be scaled across educational institutions. The study provides a replicable methodology for developing culturally-sensitive AI applications in educational environments, particularly valuable for institutions in developing countries with limited digital mental health resources.
Enhancing Question Classification in Educational Chatbots Using RASA Natural Language Understanding Christanto, Zaenur Dwi; Hadiono, Kristophorus
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.4732

Abstract

This research develops a chatbot model based on Rasa Framework to understand and respond to questions related to informatics learning, addressing the critical need for personalized AI-driven educational tools in Indonesian secondary education. The model is trained to recognize various patterns of student questions about informatics materials, especially the topic of number conversion. Using Natural Language Understanding (NLU), the chatbot model is developed to process natural language and classify the intent of student questions. Evaluation of the model using the confusion matrix showed good performance with 91.5% accuracy, 94.4% average precision, and 100% recall. The test results showed that the model was able to correctly classify various types of intent, where eight out of nine intents achieved a perfect precision of 100%, with one intent, tutorial_calculation_octal_to_decimal, having a precision of 50%. The 100% recall across all intents demonstrates the model's comprehensive ability to identify all cases requiring responses, ensuring no student queries are missed. This research significantly contributes to computer science education by validating RASA's effectiveness for domain-specific NLU in low-resource educational settings, providing a scalable foundation for AI-based learning assistance tools that can enhance digital literacy and computational thinking skills among junior high school students.
Co-Authors ., Agnes Widyaningrum Agnes Widyaningrum Aminudin, Agus Antono Adhi Anwar, Muchamad Taufiq Budi Hartono Caesar, Yulius Bagus Cahyawati, Asania Fatma Christanto, Zaenur Dwi Damaryanti, Rr Fitri Damaryanti, Rr. Fitri Dhendra Marutho Dian Kristiawan Nugroho Dwi Agus Diartono Dwi Budi Santoso Eka Ardhianto Eko Nur Wahyudi Eko Prasetyo Farooq, Omar Felix Andreas Sutanto Felix Andreas Sutanto Firmansyah, Annas Hari Murti Heribertus Yulianton Irawan, Yoan Freddy Karlina Mulya Febianti Kusuma, Aditya Chandra Laksono Trisnantoro MATOVANI, DIO Muhammad fauzan Munna, Aliyatul Ningrum, Yulika Pramesti Novita Mariana Oktaviani Risqi, Vita Rina Candra Noor Santi Rina Candra NS Rindu Pridiqva Azzahra Rosida, Adis Amatulia RR. Ella Evrita Hestiandari Silamantha, Wiendha Artieka Singh, Narinderjit Singh Sawaran Sri Eniyati Sulastri Sulastri SUTANTO, FELIX Wijaya, Mikhael Putra Wismarini, Th Dwiati