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All Journal Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal TAM (Technology Acceptance Model) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Tematik : Jurnal Teknologi Informasi Komunikasi PROFICIO: Jurnal Pengabdian Masyarakat JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Pengabdian Masyarakat Tapis Berseri Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat Jurnal TAM (Technology Acceptance Model)
Hendrawati, Theresia
Institut Bisnis Dan Teknologi Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences Other

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ANALISIS SENTIMEN CHATGPT DATA SOSIAL MEDIA X(TWITTER) DENGAN MENGGUNAKAN FINE TUNING XL NET Hendrawati, Theresia; Ginantra, Ni Luh Wiwik Sri Rahayu
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 5, No 2 (2025): JEIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol5no2.782

Abstract

ChatGPT (Generative Pre-training Transformer) is an artificial intelligence technology designed to mimic human conversation in text form and has become an important tool in various fields, including education. This study aims to analyze public sentiment toward the use of ChatGPT, which can be categorized into positive and negative sentiments. The data for the study was obtained from 5,686 user reviews on the Twitter platform, collected through Google Colaboratory and processed with pre-processing steps. The data was labeled as positive and negative, then classified using fine-tuning on the XLNet model, a Transformer-based language model. The results show that the fine-tuned XLNet model achieved an accuracy of 88.45%, a precision of 89%, a recall of 88%, and an F1-score of 89%, as measured using the Confusion Matrix. This study demonstrates that fine-tuning XLNet is effective in classifying the sentiment of ChatGPT user reviews related to education.ChatGPT (Generative Pre-training Transformer) adalah teknologi kecerdasan buatan yang dirancang untuk menirukan percakapan manusia dalam bentuk teks dan telah menjadi alat penting di berbagai bidang, termasuk pendidikan. Penelitian ini bertujuan untuk mengalisis akurasi kinerja model fine tuning XL Net  dari sentimen masyarakat terhadap penggunaan ChatGPT, yang dapat dikategorikan menjadi sentimen positif dan negatif. Data penelitian diperoleh dari 5.686 ulasan pengguna di platform Twitter, dikumpulkan melalui Google Colaboratory dan diproses dengan tahap pre-processing. Data diberi label positif dan negatif, lalu diklasifikasikan menggunakan metode fine-tuning pada model XLNet, model bahasa berbasis Transformer. Hasil penelitian menunjukkan bahwa model fine-tuning XLNet mencapai akurasi 88,45%, precision 89%, recall 88%, dan F1-score 89%, yang diukur menggunakan Confusion Matrix. Penelitian ini membuktikan bahwa fine-tuning XLNet efektif dalam mengklasifikasikan sentimen ulasan pengguna ChatGPT terkait pendidikan
Klasifikasi Tingkat Keparahan Penyakit Diabetic Retinopathy menggunakan Convolutional Neural Network Ginantra, Ni Luh Wiwik Sri Rahayu; Hendrawati, Theresia; Prasetya, I Kadek Diksa Bayu
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7432

Abstract

Diabetic Retinopathy is an eye condition in Diabetes sufferers that causes damage to the retina, which can result in permanent blindness if not treated properly. The initial stage of this disease is the widening of the blood vessels in the eye which, if left untreated, can cause the formation of new blood vessels which can cover the retina of the eye, thereby increasing the risk of vision loss. There are several classes of Diabetic Retinopathy disease; to determine the class you can use the Deep Learning method which can model various data such as images. The classification process is carried out by training a Convolutional Neural Network model on a disease image dataset taken from the Kaggel repository with a total of 5 classes. This research uses a Fine Tuning strategy and the EfficientNetB1 model to determine the performance of the CNN model in the Diabetic Retinopathy Classification process. Based on training results, the EfficientNetB1 model produces 92.51% accuracy in detecting Diabetic Retinopathy. These results show that the model can provide optimal results in the dataset training process.
PKM Penggunaan Teknologi Augmented Reality Pelajaran Biologi Untuk Meningkatkan Pemahaman Siswa SMA Christina Purnama Yanti; Ginantra, Ni Luh Wiwik Sri Rahayu; Theresia Hendrawati; Dewa Ayu Putri Wulandari
Darma Abdi Karya Vol. 3 No. 1 (2024): Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM POLITEKNIK LP3I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/darmaabdikarya.v3i1.1972

Abstract

Biology is a science that studies everything about everyday life, such as living things, health, the environment, and biology can also be used to solve problems that occur in everyday life. One of the things that is discussed in biology is viruses. A virus is a living creature with parasitic properties, which means that the life of this living creature depends on other living creatures by infecting the cells of other living creatures. Studying biology at high school level is considered quite important because it is considered to be an opportunity for students to get to know themselves, the environment and the living creatures around them. Based on interviews conducted with Mr. Tisnawan as one of the biology subject teachers at SMA Negeri 8 Denpasar, the results showed that there are challenges in studying the structure and shape of viruses which can influence students' interest in learning, such as the abstract shape of viruses, lack of variation in learning media, and limited equipment and practical space such as microscopes and others. Therefore, the service team plans to introduce teachers and students to the use of Augmented Reality in learning media where the topic used is the structure and shape of viruses in class X high school material. Assistance to teachers and students in using Augmented Reality applications needs to be provided so that teachers and students can use them well. Apart from that, this assistance is also expected to increase teachers' digital literacy in using technology in learning.
PEMANFAATAN TIK UNTUK PENINGKATAN KEMAMPUAN PENGGUNAAN MICROSOFT WORD DI SDN 1 TAMPAKSIRING Ginantra, Ni Luh Wiwik Sri Rahayu; Hendrawati, Theresia; Yanti, Christina Purnama
Jurnal Pengabdian Masyarakat FKIP UTP Vol 7 No 2 (2026): PROFICIO : Jurnal Abdimas FKIP UTP
Publisher : PROFICIO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/.v7i2.6518

Abstract

Perkembangan teknologi informasi dan komunikasi (TIK) menuntut siswa sekolah dasar menguasai keterampilan digital fundamental, termasuk pengoperasian aplikasi pengolah kata Microsoft Word. Akan tetapi, observasi di SDN 1 Tampaksiring menunjukkan sebagian besar siswa masih kesulitan mengoperasikan aplikasi tersebut karena keterbatasan paparan praktis. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan kompetensi siswa dalam penggunaan Microsoft Word melalui pelatihan berbasis TIK yang terstruktur. Kegiatan dilaksanakan dengan pendekatan kualitatif yang melibatkan tiga puluh siswa kelas IV hingga VI sebagai peserta. Data dikumpulkan melalui observasi, wawancara, dokumentasi, serta asesmen kinerja siswa sebelum dan sesudah pelatihan. Pelatihan dilaksanakan dalam lima tahap: analisis kebutuhan, penyusunan materi, pelaksanaan pelatihan, pendampingan, dan evaluasi. Hasil kegiatan menunjukkan rata-rata kompetensi siswa meningkat secara signifikan dari 42,3% pada pra-tes menjadi 84,7% pada pasca-tes. Siswa mengalami peningkatan keterampilan dalam pembuatan dokumen, pemformatan teks, penyisipan tabel, dan tata letak halaman dasar. Kegiatan juga menumbuhkan motivasi belajar serta kepercayaan diri digital siswa. Temuan ini menegaskan bahwa pelatihan TIK yang aplikatif berkontribusi nyata terhadap literasi digital siswa sekolah dasar.
Co-Authors Aristamy, I Gusti Ayu Agung Mas Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Dewa Ayu Putri Wulandari Dewa Ayu Putri Wulandari Duman Care Khrisne Dwipayana, Ida Bagus Rama I Gde Swiyasa Surya Dharma Kadek Listy Mas Setya Devi Ni Komang Ita Cahyani Ni Luh Wiwik Sri Rahayu Ginantra Ni Luh Wiwik Sri Rahayu Ginantra, M.Kom Pramita, Dewa Ayu Kadek Prasetya, I Kadek Diksa Bayu Saiman, Clarita Mutiara Sandhiyasa, I Made Subrata Santi Ika Murpratiwi Sastaparamitha, Ni Nyoman Ayu J Wulandari, Dewa Ayu Putri Yuri Prima Fittryani, Yuri Prima