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All Journal CESS (Journal of Computer Engineering, System and Science) Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Inotera Jurnal Sisfokom (Sistem Informasi dan Komputer) METIK JURNAL Jurnal Eduscience (JES) Jurnal Informasi dan Teknologi Jurnal AbdiMas Nusa Mandiri Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Minfo Polgan (JMP) Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Algoritma Jurnal Teknologi Terapan and Sains 4.0 Dikdimas : Jurnal Pengabdian Kepada Masyarakat Bulletin of Network Engineer and Informatics (BUFNETS) Jurnal Pengabdian Inovasi Masyarakat Indonesia Jurnal Rekayasa Sistem Informasi dan Teknologi Journal Of Artificial Intelligence And Software Engineering Pengabdian Pendidikan Indonesia (PPI) Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Polimesin Portal Riset dan Inovasi Sistem Perangkat Lunak Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) ITEJ (Information Technology Engineering Journals) Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI)
Rizki Suwanda
Universitas Malikussaleh, Aceh, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Implementasi Metode Hybrid Retrieval dan Token-Oriented Object Notation pada Chatbot Akademik Berbasis Large Language Model Bayu Winata; Defry Hamdhana; Rizki Suwanda; Fadlisyah; Rini Meiyanti
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 11 No 2 (2026): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v11i2.70609

Abstract

Layanan informasi akademik di perguruan tinggi masih sering bersifat konvensional, mengharuskan mahasiswa datang ke kampus atau menghubungi pihak universitas secara manual. Penelitian ini mengembangkan chatbot akademik berbasis Large Language Model (LLM) dengan hybrid retrieval yang menggabungkan data tidak terstruktur dari dokumen akademik dan data terstruktur dari basis data relasional, serta mengimplementasikan Token-Oriented Object Notation (TOON) untuk efisiensi token. Model LLM yang digunakan adalah meta-llama/llama-4-scout-17b-16e-instruct melalui Groq, sedangkan model embedding yang digunakan adalah paraphrase-multilingual-MiniLM-L12-v2. Sistem dibangun menggunakan arsitektur Retrieval Augmented Generation (RAG) dengan ChromaDB dan Text-to-SQL, diintegrasikan melalui Intent Router berbasis prompt-based classification. Pengujian menggunakan metrik ROUGE, Execution Accuracy, dan Token Reduction Rate. Hasil pengujian menunjukkan rata-rata F1-Score sebesar 79,13% pada ROUGE-1 69,01% pada ROUGE-2, dan 78,50% pada ROUGE-L untuk jalur RAG, serta Execution Accuracy 100% pada jalur data terstruktur. TOON berhasil menghemat token rata-rata 24,60% dibandingkan JSON. Chatbot berbasis LLM dengan hybrid retrieval dan TOON mampu memberikan jawaban cepat, tepat, kontekstual, dan efisien dalam penggunaan token.
IoT-Based Lifting Posture Detection using Random Forest for WMSD Prevention Muhammad Fathurrahman Fathurrahman; Muhammad Fikry; Rizki Suwanda
Bulletin of Network Engineer and Informatics Vol. 4 No. 2 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) October 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/9egbhh15

Abstract

Work-Related Musculoskeletal Disorders (WMSDs) from improper lifting techniques remain a major occupational health concern globally. This study develops an Internet of Things (IoT)-based lifting posture detection system using Random Forest classification to enable real-time monitoring and early WMSD prevention. The system integrates two MPU6050 inertial sensors placed on the thoracic and lumbar regions, a BMP280 pressure sensor attached to the load (15-liter water gallon), an ESP8266 microcontroller, and a Flask-based web application with buzzer feedback. Data were initially collected from 24 participants, with 20 included in the final analysis after excluding incomplete datasets, generating 53 engineered features from acceleration, gyroscope, pressure, and orientation signals. The Random Forest model was evaluated using leave-one-subject-out cross-validation and achieved an overall accuracy of 83.32%, with the correct posture class showing higher recall (0.87) and F1-score (0.85) compared to the incorrect class (recall 0.79, F1-score 0.81). Feature importance analysis identified thoracic and lumbar pitch angles as key predictors of safe lifting biomechanics. Real-time system testing across 40 activities yielded a 97.5% prediction accuracy with an average confidence of 86.7%, demonstrating the system's practical viability. While the model shows promise for automated posture monitoring, performance variability across subjects (68.62%–96.20%) indicates the need for larger, more diverse training datasets and further algorithm refinement. This research establishes a foundation for IoT-based ergonomic intervention systems that provide immediate auditory feedback to reduce WMSD risk in occupational settings.
Co-Authors ., Bustami Absa, Munzir Adek, Rizal Tjut Amanda, Sherly Dwi Ananda, Ria Anggara, Aji Armelia Dafrina Arnawan Hasibuan Ayu Rosmala, Ayu Rosmala Ayu Suningsih Bayu Winata Bustami Bustami . Bustami Bustami Cut Rifa Salsabil Dahlan Abdullah Defry Hamdhana Dendy K. Pramudito Desi Dini Fariha Efendi, Syahril Erna Budhiarti Eva Darnila Fadillah, Rizky Fadlisyah Fadlisyah Fadlisyah Fanita Fanita, Fanita Fatia Naura Fatih Dwi Laksana Haj, Shafly Ulya Halimatus Sakdiah, Halimatus Hamdhana, Defry Irsan Efendi Rangkuti Judijanto, Loso Laksana, Fatih Dwi Maisarah Mardhatillah, Mardhatillah Maryana Maryana Muchlis Abdul Muthalib Muh Fahrudin Alawi Muhammad Daud Muhammad Fathurrahman Fathurrahman Muhammad Fikry Muhammad Furqan Muhammad Habibi Muhammad Iqbal Muhammad Iqbal Muhammad Khardawi Muhammad Khoiruddin Harahap Muhammad Naufal Muhammad Zakaria Muhammad Zikri Mukti Qamal Muna Kamilah Muna, Ninal Munirul Ula Munzir Nazaruddin Ahmad Nur Fazri Husna Nur Mauliza Nurdin Nurdin Nurul Nafisa Pangestu, Aridho Raudhatul Fazira Rini Meiyanti Rivalzi, Tri Ananda Rizal Rizal Rizal Rizal S.Si., M.IT, Rizal Rizal Tjut Adek Rizky Putra Fhonna Roslaini Roslaini Rozi Kesuma Dinata Rozzi Kesuma Dinata Safwandi Safwandi Safwandi Safwandi, Safwandi Sagala, Wulandari Shakinahwati Said Fadlan Anshari Said Fadlan Anshari Salshabila Putri Siti Nadilla Sutri Wandani Syahriani Putri Ayu Syibral Malasyi, Syibral Taufiq Taufiq Teguh Brahmana Tiara Sartika Tri Ananda Rivalzi Tri Ramdhany Tulus Setiawan Usman Usman Wardhiah Wardhiah Wardina Ningsih Yudhi Franata Zahra, Annisa Afrilia Zahratul Fitri, Zahratul Zalfie Ardian Zara Yunizar