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All Journal Indonesian Journal of Data and Science Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Masyarakat Nusantara
I Kadek Dwi Gandika Supartha
Institut Bisnis dan Teknologi Indonesia
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Health Professions Mathematics Public Health Social Sciences Other

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Analisa Pengaruh Pelatihan Online Pemanfaatan Google Classroom bagi Tenaga Pendidik di SMPN 3 Tampaksiring Ayu Manik Dirgayusari; I Kadek Dwi Gandika Supartha; Aniek Suryanti Kusuma; Welda; Desak Made Dwi Utami Putra
Jurnal Abdi Nusa Vol. 2 No. 3 (2022): Oktober 2022
Publisher : LPPM Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdinusa.v2i3.91

Abstract

SMP Negeri 3 Tampaksiring is one of the State Junior High Schools in Gianyar Regency that wants to prepare its educators to be ready to learn online due to the current pandemic conditions. Not all educators at SMPN 3 Tampaksiring can use and operate Google Classroom due to age and unfamiliarity. The purpose of this community service is so that every educator can share subject materials, assignments and exams in one application that can accommodate all of that. Through this community service activity, SMPN 3 Tampaksiring in collaboration with the Indonesian Institute of Business and Technology (INSTIKI) held online training on the use of Google Classroom for educators. This training is conducted online using the Zoom Meeting application. So, it is hoped that all educators at SMPN 3 Tampaksiring can participate and gain an understanding of the use of Google Classroom. Seeing the enthusiasm of the educators, it is possible that similar activities will be continued with other trainings to support teaching and learning activities at the school.
PELATIHAN PENINGKATAN KEMAMPUAN PENGAJARAN DAN PENGUASAAN TEKNOLOGI GURU BERSERTA STAFF SD NEGERI 7 KESIMAN-DENPASAR I Kadek Dwi Gandika Supartha; I Dewa Ayu Agung Tantri Pramawati; Adi Panca Saputra Iskandar; I Gede Andika; Kadek Ayu Ariningsih
Jurnal Pengabdian Masyarakat Nusantara Vol. 4 No. 4 (2022): Desember : Jurnal Pengabmas Nusantara
Publisher : Universitas Muhammadiyah Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57214/pengabmas.v4i4.171

Abstract

Peningkatan kualitas pendidikan guru di bidang IT memegang peranan yang sangat penting, kemampuan guru sangat dituntut untuk mampu memberikan pelajaran disaat pandemi Covid-19 di Indonesia. Menyadari tugas dan tanggung jawab guru sebagai pendidik dalam menentukan keberhasilan proses belajar siswa, agar dalam menyampaikan pelajaran lebih efektif dan efisien dalam kondisi pandemi Covid-19 maka dalam kegiatan pengabdian kepada masyarakat ini, melakukan observasi untuk mengetahui kondisi penggunaan teknologi dalam pembelajaran daring pada mitra SDN 7 Kesiman Denpasar Timur. Selanjutnya pada akhir kegiatan pelatihan tim menyebarkan angket untuk mengukur dari 2 indikator yaitu pada indikator 1 penguasaan, penggunaan, dan Google Classroom sebagai media alternatif pembelajaran memperoleh hasil jawaban bisa sebesar 83% dan tidak bisa sebesar 17%. Dan indikator 2 video sebagai media alternatif pembelajaran memperoleh hasil jawaban bisa sebesar 87% dan tidak bisa sebesar 13%. Hasil tersebut menyatakan bahwa pelatihan yang dilakukan memperoleh respon yang baik dari para Guru di SD Negeri 7 Kesiman.
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.
Co-Authors Adi Panca Saputra Iskandar Aniek Suryanti Kusuma, Aniek Suryanti Atmaja, Ketut Jaya Ayu Manik Dirgayusari Desak Made Dwi Utami Putra I Dewa Ayu Agung Tantri Pramawati I Gede Andika I Putu Yoga Indrawan Kadek Ayu Ariningsih Ni Putu Juliana Dewi Welda