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All Journal Jurnal Sains dan Teknologi JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal International Journal of Community Service Learning Jurnal Ilmiah Manajemen dan Bisnis Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jurnal Pedagogi dan Pembelajaran Indonesian Journal of Data and Science Journal of Computer Networks, Architecture and High Performance Computing INSERT: Information System and Emerging Technology Journal Jurnal Pengabdian Masyarakat (ABDIRA) Journal of Artificial Intelligence and Digital Business Jurnal Pengabdian Kepada Masyarakat SEWAGATI KOMET
I Putu Yoga Indrawan
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Sentiment Analysis of Student Comments on Facilities and Infrastructure at Instiki Using Retrieval Augmented Generation Ni Putu Juliana Dewi; I Kadek Dwi Gandika Supartha; I Putu Yoga Indrawan; Ketut Jaya Atmaja
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.377

Abstract

This research was conducted to analyze the sentiment of student comments on infrastructure facilities at the Indonesian Institute of Business and Technology (INSTIKI) to overcome the problem of comment analysis that was previously done manually. The data used is in the form of student comments in 2024. The method used in this study is Retrieval Augmented Generation (RAG) with data labeling using Lexicon-Based. The test was carried out on three Large Language Models (LLMs), namely indobenchmark/indobert-base-p1, TinyLlama/TinyLlama-1.1B-Chat-v1.0, and w11wo/indonesian-roberta-base-sentiment-classifier. The test results showed that the indobenchmark/indobert-base-p1 model produced the highest accuracy of 80% in both test sessions compared to other models. The TinyLlama/TinyLlama-1.1B-Chat-v1.0 model produced 60% accuracy in session 1 and 65% in session 2, while the w11wo/indonesian-roberta-base-sentiment-classifier model produced 60% accuracy in both test sessions. The difference in the performance of these three LLMs shows that the model's understanding of Indonesian can affect the results of sentiment predictions.
PERBANDINGAN MODEL DEEP LEARNING UNTUK PENERJEMAHAN BAHASA ISYARAT SIBI BERBASIS MOBILE Indrawan, I Putu Yoga; Yati, Christina Purnama; Rahayu, Ni Luh Wiwik Sri
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.573

Abstract

Komunikasi antara penyandang tunarungu dan masyarakat umum di Indonesia masih terbatas akibat rendahnya pemahaman terhadap Sistem Bahasa Isyarat Indonesia (SIBI) yang secara resmi diakui oleh pemerintah. Penelitian ini bertujuan untuk mengevaluasi performa tiga model deteksi objek berbasis deep learning MobileNetV2-SSD, MobileNetV2-RetinaNet, dan YOLOv11 dalam mendeteksi bahasa isyarat SIBI, serta merekomendasikan model terbaik untuk implementasi di perangkat Android. Sistem dirancang dengan fokus pada efisiensi agar dapat digunakan secara optimal di perangkat mobile. Hasil evaluasi menunjukkan bahwa MobileNetV2-SSD memberikan performa terbaik dengan mean Average Precision (mAP) sebesar 99,7% dan kecepatan 9 frame per second (FPS). YOLOv11 memperoleh mAP sebesar 89,8% dan 5 FPS, meskipun mengalami fluktuasi pada validation loss. Sementara itu, MobileNetV2-RetinaNet awalnya mencatat mAP sebesar 38,8%, namun meningkat hingga 87,69% pada rasio dataset 70:15:15. Meskipun akurasinya membaik, model ini tetap kurang ideal karena kecepatan inferensi hanya mencapai 2 FPS.Penelitian ini diharapkan dapat menjadi kontribusi awal dalam pengembangan teknologi penerjemah bahasa isyarat yang inklusif dan efisien, guna meningkatkan aksesibilitas komunikasi bagi penyandang tunarungu di Indonesia.
Co-Authors Anak Agung Gde Ekayana Ariawan, Kadek Rizki Asana, I Made Dwi Putra Atmaja, Ketut Jaya D.A.K Pramita Digita, I Dewa Kadek Laksana Eddy Hartono Gede Indrawan Gede Surya Mahendra Gede, I Komang I Kadek Andy Asmarajaya I Kadek Dwi Gandika Supartha I Made Candiasa I Nyoman Agus Suarya Putra I Putu Agus Eka Darma Udayana, I Putu Agus Eka Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Putu Juliana Dewi Nirwana, Ni Kade Ayu Nugraha, Putu Gede Surya Putu Gede Surya Cipta Nugraha Putu Nuniek Hutnaleontina Rahayu, Ni Luh Wiwik Sri Sandhiyasa, I Made Subrata Setiawan , I Nyoman Anom Fajaraditya Udayanie, Ayu Gde Chrisna Wardani, Ni Wayan Wawan, I Kadek Widiartha, Komang Kurniawan Winatha, Komang Redy Yati, Christina Purnama Yuliandari, Ni Kadek