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All Journal International Journal of Electrical and Computer Engineering JURNAL MEDIA INFORMATIKA BUDIDARMA JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Infomedia MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Indonesian Journal of Data and Science Tematik : Jurnal Teknologi Informasi Komunikasi IJISTECH JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Informatics Management and Information Technology PROFICIO: Jurnal Pengabdian Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Kepada Masyarakat JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) International Journal Of Computer, Network Security and Information System (IJCONSIST) JOMLAI: Journal of Machine Learning and Artificial Intelligence Jurnal Pengabdian Masyarakat Sains dan Teknologi Jurnal Pengabdian Masyarakat Tapis Berseri Journal of Social Work and Empowerment Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Ni Luh Wiwik Sri Rahayu Ginantra
Institut Bisnis Dan Teknologi Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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Performance Comparison of MobileNetV2 and NASNetMobile Architectures in Soybean Leaf Disease Classification I Gede Rian Lanang Oka; Anak Agung Gede Bagus Ariana; Wayan Sauri Peradhayana; Ni Luh Wiwik Sri Rahayu Ginantra; I Ketut Sutarwiyasa
Indonesian Journal of Data and Science Vol. 6 No. 2 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i2.243

Abstract

Soybean is one of the essential commodities in Indonesia, commonly used as a raw material for tofu and tempeh, making it highly sought after. However, soybean production has decreased by up to 30% due to disease attacks, necessitating preventive measures. This study aims to compare two Convolutional Neural Network (CNN) architectures, MobileNetV2 and NASNetMobile, in classifying soybean leaf diseases. The models were trained using a leaf image dataset collected directly from agricultural fields and categorized into five classes. The dataset underwent augmentation to increase its size, resulting in a total of 6,000 images, which were then split with an 80:10:10 ratio. The models were trained using the Adam optimizer with a learning rate of 0.001, optimized using ReduceLROnPlateau, and a dropout rate of 0.2 to prevent overfitting. Evaluation results using a confusion matrix indicated that MobileNetV2 performed better with an accuracy of 96.67%, precision of 96.70%, recall of 96.67%, and an F1-score of 96.68%, compared to NASNetMobile, which achieved an accuracy of 86.33%, precision of 86.91%, recall of 86.33%, and an F1-score of 86.40%.
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.
Workshop Pemanfaatan AI untuk Meningkatkan Literasi Digital Guru-Guru SMK dalam Proses Pembelajaran di Sekolah Achmad Daengs GS; Ni Luh Wiwik Sri Rahayu Ginantra; Teuku Afriliansyah; Anjar Wanto; Harly Okprana
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2024): Mei 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v4i1.2838

Abstract

This activity aims to equip UISU Siantar Private Vocational School teachers with knowledge and skills in utilizing Artificial Intelligence (AI) to increase learning effectiveness. This activity was carried out over two days with various sessions, including basic AI theory, the use of AI applications in learning, and direct practice in implementing AI in the classroom. The activity focuses on implementing AI workshops to increase vocational school teachers' digital literacy, especially at UISU Siantar Private Vocational School. This program is driven by rapid technological developments and the need to improve the quality of education through the integration of advanced technology, as well as equipping vocational school teachers with knowledge and skills in utilizing AI for various aspects of learning, including curriculum design, student evaluation, and classroom management. The team delivered the activity workshop in 2 ways, face-to-face and virtual, via the Zoom application. A pre-test and post-test were carried out on participants to measure the workshop's effectiveness. The average pre-test score was 60, while the average post-test score increased to 71.9. The analysis results show a significant increase in the level of teacher understanding. This increase indicates that the workshop successfully increased the digital literacy of vocational school teachers so that they are better prepared to integrate AI technology into the learning process at school.
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.
Sistem Informasi Pengelolaan Travel Agent Berbasis Website Sri Rahayu Ginantra, Ni Luh Wiwik; Penanta, Aditya
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 1 No 3 (2019): March
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (655.634 KB) | DOI: 10.33173/jsikti.25

Abstract

Travel agent is a company engaged in the travel agency. Business management processes such as making sales invoices that still use the handwriting method along with sales and purchase reports that are still used Microsoft Excel. Travel agent requires a website-based system where the management of its business to be more effective , safe and accessible anywhere and anytime. In the design phase Data Flow Diagram notation is used, Conceptual Data Models, Physical Data Models and Mockups. The development of the system uses Sublime Text 3 and SQLyog as a Database Management System and is tested using blackbox testing. The results have successfully built an information system for managing a travel agent where the system was built aimed at helping the business management process of Travel agent to be faster, neater, avoid the risk of losing and unnecessary errors.
Meningkatkan Literasi Numerisasi Siswa Literasi Media Pembelajaran Nilai Tempat Dan Bangun Datar SD Pelangi Jimbaran Ginantra, Ni Luh Wiwik Sri Rahayu; Dewi, Ni Wayan Jeri Kusuma; Indra Pratistha
Darma Abdi Karya Vol. 4 No. 2 (2025): 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.v4i2.2773

Abstract

Numeracy literacy skills are a fundamental foundation in mathematics learning at the elementary school level, particularly in topics such as place value and plane geometry. However, initial observations at SD Pelangi Jimbaran indicate that fifth-grade students still experience difficulties in understanding numerical concepts both conceptually and contextually. Learning tends to be procedural and oriented toward rote memorization, with limited support from interactive, technology-based learning media. This community service activity aims to enhance students’ understanding and learning interest through the development of interactive learning media based on Canva. The implementation methods include observation and needs analysis, media design, production and pilot testing, as well as evaluation and dissemination. The media were developed in the form of educational visual presentations and digital activity worksheets that present concrete and contextual visualizations of place value and plane geometry. The results of the implementation show increased student engagement, improved conceptual understanding, and positive responses from partner teachers. The program also enhances teachers’ capacity in utilizing digital media and strengthens collaboration between higher education institutions and elementary schools. Thus, Canva-based learning media have proven to be an effective innovative solution for strengthening numeracy literacy in elementary schools
Optimization of Performance Traditional Back-propagation with Cyclical Rule for Forecasting Model Anjar Wanto; Ni Luh Wiwik Sri Rahayu Ginantra; Surya Hendraputra; Ika Okta Kirana; Abdi Rahim Damanik
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 1 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i1.1826

Abstract

The traditional Back-propagation algorithm has several weaknesses, including long training times and significant iterations to achieve convergence. This study aims to optimize traditional Back-propagation using the cyclical rule method to cover these weaknesses. Optimization is done by changing the training function and standard Back-propagation parameters using the training function and cyclical rule parameters. After that, a comparison of the two results will be carried out. This study uses quantitative method of time-series data on coronavirus cases sourced from the Worldometer website, then analyzed using three forecasting models with five input layers, one hidden layer (5, 10, and 15 neurons) and one output layer. The results showed that the 5-10-1 model with the training function and cyclical rule parameters and the tansig and purelin activation functions could perform well in optimization, including faster training time and smaller iterations (epochs), MSE training performance, and better tests. Low and high accuracy (92%) with an error rate of 0.01. So it was concluded that the training function and cyclical rule parameters with the tansig and purelin activation functions were able to optimize the traditional Back-propagation method, and the 5-10-1 model could be used for forecasting active cases of the coronavirus in Asia
Co-Authors Abdi Rahim Damanik Anandita, Ida Bagus Gede Ariana, Anak Agung Gede Bagus Asana, I Made Dwi Putra Atmaja, Ketut Jaya Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Dewa Ayu Putri Wulandari Dewa Ayu Putri Wulandari Dewi, Ni Wayan Jeri Kusuma Dwipayana, Ida Bagus Rama Faisal Amir Gede Surya Mahendra GS , Achmad Daengs Harly Okprana Hendrawati, Theresia I Gede Iwan Sudipa I Gede Rian Lanang Oka I Gusti Agung Indrawan I Gusti Ayu Agung Diatri Indradewi Ika Okta Kirana Ilham Tri Maulana Indra Pratistha Jasmir Krismentari, Ni Kadek Bumi Made Suci Ariantini Mahmuda Lailiya Meri Aryati, Ni Wayan Mhd Ali Hanafiah Ni Kadek Ariasih, Ni Kadek Ni Kadek Nita Noviani Pande NI LUH PUTU MERY MARLINDA Ni Putu Adelia Indah Paramita Ni Putu Suci Meinarni Ni Wayan Eva Agustini Ni Wayan Suardiati Putri Ni Wayan Wardani Ni Wayan Wardani Pande Putu Sukma Awantari Penanta, Aditya Prasetya, I Kadek Diksa Bayu Pressa Persana Surya Saputra Putra, I Kadek Andika Putu Surya Wedra Lesmana Saiman, Clarita Mutiara Samsul Lutfi Sandi, Victor Ari Sandika, I Kadek Budi Sastaparamitha, Ni Nyoman Ayu J Silfia Andini, Silfia Surya Hendraputra Sutarwiyasa, I Ketut Teuku Afriliansyah Toraja, Dewa Gede Victor Ari Sandi Wanto, Anjar Wardani, Ni Wayan Wayan Gede Suka Parwita Wayan Sauri Peradhayana Widiartha, I Komang Kurniawan Widiartha, Komang Kurniawan Wiguna, I Komang Arya Ganda Winatha, Komang Redy Wulandari, Dewa Ayu Putri