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All Journal Jurnal Bumigora Information Technology (BITe)
Ery Setiyawan Jullev Atmadji
Politeknik Negeri Jember, Jember, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Chatbot Berbasis AI untuk Pengelolaan Dokumen SPBE:Pendekatan Hybrid Forward Chaining dan Transformers Ery Setiyawan Jullev Atmadji; Ricky Dwi Setyawan; Nanik Anita Mukhlisoh
Jurnal Bumigora Information Technology (BITe) Vol. 8 No. 1 (2026): In-Press
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v8i1.6347

Abstract

Background: Digital government transformation requires efficient and integrated management of SPBE documents usingartificial intelligence (AI).Objective: To develop an AI chatbot to solve the problems of manual searches, human error, and difficulties in extractingtext from complex PDF documents in SPBE.Methods: The study combined Forward Chaining (for structured questions) and the IndoBERTQA Transformer model(for open-ended questions). Text was extracted using PyPDF2. The evaluation used 150 question-context-answer datapairs and two Forward Chaining scenarios.Result: Forward Chaining produced fast and fixed responses, while IndoBERTQA provided more contextual answers(Cosine Similarity of 0.730). However, the low F1-score (0.316) shows that prediction accuracy is still a major weaknessand needs priority improvement. The system successfully sped up information access, although it still struggles withextracting tables and non-text elements.Conclusion: Integrating both methods provides a good balance between the chatbot’s speed and flexibility. Furtherdevelopment on dataset quality, model optimization, and document extraction is highly necessary to improve the system’saccuracy.
Co-Authors Nanik Anita Mukhlisoh Ricky Dwi Setyawan