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All Journal PROSIDING SEMINAR NASIONAL (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Sistem dan Informatika Jurnal Eksplora Informatika JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Applied Information System and Management WIDYABHAKTI Jurnal Ilmiah Populer Jurnal Sistem Informasi dan Informatika (SIMIKA) Media Aplikom International Journal of Community Service Prosiding University Research Colloquium Jurnal Pengabdian Informatika (JUPITA) Bulletin of Social Informatics Theory and Application Jurnal Nasional Teknologi Informasi dan Aplikasinya
Ida Ayu Gde Suwiprabayanti Putra
Universitas Udayana
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Perancangan Ontologi untuk Sistem Rekomendasi Tempat Makan di Bali Ni Putu Diva Damayanthi; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 4 (2024): JNATIA Vol. 2, No. 4, Agustus 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i04.p19

Abstract

As we know, Bali is one of the world destinations and can develop its tourism well. Apart from being famous for its natural beauty nature, culture and friendly people, Bali also offers a variety of culinary delights for tourists that can be ordered at restaurants, tourist objects or at hotels there. Many recommendations for places or restaurants/eating places with various mainstay menus are needed to make it easier for tourists to find the food menus they want and meet their budget. In this research expected to be solved by combining the Methodology technique with a semantic ontology model. Designing an ontology model for restaurant/dining recommendations in Bali using the protégé application, the ontology model was developed into a structure for students with classes, attributes, and other elements arranged hierarchically. To get the right answers, the ontology assessment procedure using SPARQL queries is employed. 
Klasifikasi Jenis Obat Berdasarkan Gejala Yang Dimiliki Pasien Menggunakan Metode K-Nearest Neighbors (KNN) Ngakan Putu Bagus Ananta Wijaya; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 3 (2024): JNATIA Vol. 2, No. 3, Mei 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i03.p21

Abstract

This research applies the K-Nearest Neighbors (KNN) algorithm to classify medicine types based on patient symptoms using a dataset from Kaggle with 200 rows and 6 columns. After preprocessing steps such as handling missing values, encoding categorical variables, and splitting data into training and testing sets, exploratory data analysis (EDA) was performed to understand the dataset's structure. The KNN model was evaluated with k values of 1, 2, and 3, finding the optimal k to be 3, achieving an accuracy of 77.50% with average precision of 0.76, recall of 0.69, and f1-score of 0.66. Lower accuracy was observed for k=2 (65.00%) and k=1 (67.50%), indicating that k=3 is the most effective for this dataset. These results suggest that while KNN is a viable method for classifying medicine types based on symptoms, larger datasets are recommended for improved accuracy. 
Perancangan Alat Pemberian Pakan Ikan Otomatis Pada Aquarium Berbasis Mikrokontroller AT89S52 I Gusti Bagus Ngurah Agung Brian Wijaya; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 4 (2023): JNATIA Vol. 1, No. 4, Agustus 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i04.p17

Abstract

An important factor in keeping fish in an aquarium is the timeliness of feeding fish. Most of those who have a hobby of raising fish are worried about the feeding that must be done every day. Based on this, this final project designed and manufactured an automatic fish feeding device based on the AT89S52 microcontroller. So, a tool was designed that makes it easier to feed the fish automatically according to a predetermined schedule. The supporting components for scheduling fish feed include making a minimum circuit for the AT89S52 system as the brain of this tool which will later be loaded with a program using assembler language, RTC (Real Time Clock) as a timer, DC motor to rotate the valve opener for fish feed. 
Perhitungan Nilai Besaran Fisis Mammografi Jenis Histopatologi IDC dan ILC Anak Agung Ngurah Frady Cakranegara; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i03.p17

Abstract

In this study, the main objective was to calculate the range of physical values contained in mammography X-ray images and determine the physical quantities that are significant in differentiating between the histopathological types of ILC (Invasive Lobular Carcinoma) and IDC (Invasive Ductal Carcinoma). The research method involved collecting data from 152 mammograms consisting of 7 ILCs and 145 IDCs from doctor Sutomo Surabaya's radiology database. The range of physical values such as entropy, contrast, second angular moment, differential invest moment, mean, deviation, entropy of Hdiff, angular moment of Hdiff, and mean of Hdiff are calculated and compared between ILC and IDC using the Anova statistical test. The results showed that there were differences in the range of physical quantity values between ILC and IDC. Significant parameters in differentiating the two types of histopathology are mean1, mean2, mean3, and mean4. In conclusion, IDC has a higher peak than ILC, and the range of ILC physical quantities is higher than IDC. 
Revitalization of Educational Information Media in Batur UNESCO Global Geopark Using QR-Code and Web-Based Augmented Reality Ida Ayu Gde Suwiprabayanti Putra; I Gusti Ngurah Anom Cahyadi Putra; Gst. Ayu Vida Mastrika Giri; I Gede Surya Diva Ananda; Rahelita Pasaribu; Ida Bagus Oka Agastya; I Wayan Gobang Edy Sucipto
International Journal Of Community Service Vol. 6 No. 2 (2026): May 2026 ( Indonesia - Thailand - Philippines)
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v6i2.979

Abstract

Batur UNESCO Global Geopark in Bali represents a significant natural and cultural heritage area with high educational value. However, the existing information delivery system primarily relies on static information boards, which are less effective in engaging visitors, particularly younger generations accustomed to digital technology. This community service project aims to revitalize educational information media in Batur Geopark through the integration of QR-code technology and Web-based Augmented Reality (WebAR). The implementation method includes needs analysis with geopark stakeholders, design of QR-code-based educational media, development of 3D models representing key geosite elements (Mount Batur, Kintamani dog, and Trunyan village), and integration into a WebAR platform accessible via smartphones. The system was evaluated through user testing involving students, tourists, and local communities to assess usability, accessibility, and learning effectiveness. The results demonstrate that the proposed system enhances user engagement and improves understanding of geological, ecological, and cultural information. The combination of QR-code and interactive 3D visualization provides a more immersive and flexible learning experience compared to conventional methods. Additionally, the approach supports environmentally friendly information dissemination and promotes sustainable geotourism education. This study highlights the potential of digital technology integration in strengthening educational functions within geopark areas and serves as a model for similar implementations in other geotourism destinations.
Klasifikasi Jenis Tari Bali Menggunakan Hyperparameter Tuning CNN dan Transfer Learning ResNet18 I Gede Surya Diva Ananda; Ida Ayu Gde Suwiprabayanti Putra; Ida Bagus Gede Sarasvananda
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2026.v04.i03.p16

Abstract

Balinese dance is a cultural heritage that carries deep philosophical and historical values. In the field of computer vision, image classification of Balinese dance poses a unique challenge due to similarities in movement patterns, costumes, and backgrounds. This research compares two approaches to Balinese dance image classification: a Convolutional Neural Network (CNN) model enhanced with hyperparameter tuning via grid search, and a transfer learning model based on ResNet18. The dataset consists of seven dance classes, each with approximately 240 to 254 images, which are balanced to ensure fair evaluation. The CNN model's hyperparameters, including learning rate, dropout rate, batch size, and optimizer, were optimized using grid search, achieving a top training accuracy of 96.51% and validation accuracy of 72.30%. Meanwhile, the ResNet18 model, leveraging transfer learning from ImageNet, outperformed with a training accuracy of perfect 100% and a validation accuracy of 96.79%. The experimental results suggest that transfer learning significantly boosts performance compared to CNNs trained from scratch, even when carefully tuned. These findings highlight the practical advantage of leveraging pre-trained models in cultural heritage preservation tasks through computer vision.
Analisis Sentimen Komentar Universitas di Indonesia Menggunakan Metode Naive Bayes dan SVM Benediktus Silaban; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2026.v04.i03.p21

Abstract

This research aims to analyze public sentiment towards Universitas Indonesia based on user reviews collected from Google Maps. In the era of digital information, online reviews serve as invaluable feedback channels, significantly influencing an institution's reputation and prospective student choices. This study employs a sentiment analysis approach to automatically classify reviews into positive, negative, and neutral categories. The methodology involves several key stages: data collection from Google Maps, comprehensive text preprocessing (including cleaning, tokenization, stopword removal, and stemming), and feature extraction using Term FrequencyInverse Document Frequency (TF-IDF). For classification, two prominent machine learning algorithms, Support Vector Machine (SVM) and Multinomial Naive Bayes, are utilized. Both models are trained and evaluated on the processed dataset to assess their performance in accurately classifying sentiment. A comparative analysis will be conducted to highlight the strengths and weaknesses of each algorithm in this specific context. The findings are expected to provide Universitas Indonesia with actionable insights into public perception, identify areas for improvement, and contribute to the understanding of sentiment analysis applications in educational contexts.
Rekomendasi Video Game Menggunakan Metode Collaborative Filtering dengan K-NN Kendrick Raphael Ticoalu; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2026.v04.i03.p22

Abstract

As the digital age progresses, the more technology affects various aspects in our lives for example entertainment through video games. A problem arises where there are too many video games to choose from, so there is a need to find methods to narrow down the choices. This study implements a collaborative filtering-based video game recommendation system to analyze user preferences based on playtime data. The system processes user-game interaction data from a secondary dataset containing 14.3 million players and 50.9 million games, constructing a sparse matrix to map user playtime behavior. By identifying similar users through kNN, the system recommends games frequently played by users with comparable preferences. Evaluation on 100 sample users achieved an impressive mean precision of 88.12%, indicating that most recommended games were among the users' top 20 most-played titles. This study hopes to further enable people in finding more fun experiences in their lives.
Co-Authors -, Daniel Surya Wijaya A.A. Raka Jayaningsih Agus Muliantara Anak Agung Ngurah Frady Cakranegara Bagus Ajie Satria Benediktus Silaban Desak Putu Tia Rusilia Wati Frady Cakra Negara, Anak Agung Ngurah Gst. Ayu Vida Mastrika Giri I Dewa Ayu Agung Rai Ratna Karang I Gede Surya Diva Ananda I Gede Surya Diva Ananda I Gusti Agung Ngurah Trisna Jayantika I Gusti Ayu Sri Melati I Gusti Bagus Ngurah Agung Brian Wijaya I Gusti Ngurah Anom Cahyadi Putra I Gusti Putu Wisnu Wardhana I Kadek Krisna Dwi Payana I Ketut Gede Suhartana I Komang Ari Mogi I Komang Bisma Bendesa Jaya I Made Adika Bhavanta I Putu Gede Hendra Suputra I Wayan Gede Adi Palguna I Wayan Gobang Edy Sucipto I WAYAN SANTIYASA Ida Bagus Gede Sarasvananda Ida Bagus Oka Agastya Ida Putu Ari Jayadinanta Jayaningsih, A.A. Raka Kadek Andre Suryana Kartika Maharani, Ida Ayu Bintang Kendrick Raphael Ticoalu Kompiang Gede Sukadharma Lidya Elisabet Theogracia Silitonga Luh Arida Ayu Rahning Putri Luh Arimas Pertiwi Luh Gede Astuti LUH PUTU SAFITRI PRATIWI Made Rahayu Setyaningrum Maharani Putri Suari Muhammad Sahi Ngakan Putu Bagus Ananta Wijaya Ni Luh Ayu Kartika Yuniastari Sarja Ni Luh Putu Trisnawati Ni Made Dwijayani Ni Putu Diva Damayanthi Ni Putu Meita Kartika Dewi Nyoman Ayu Nila Dewi Putra, Ananda Putu Bagus Ananta Wijaya, Ngakan Putu Eny Suhardiyani Putu Praba Santika Putu Putri Pratiwi Putu Steven Belva Chan Rafif Jhordi Raharja, Made Agung Rahelita Pasaribu Rahelita Pasaribu Ririmasse, Charles Alexander Vidiadivani, Wahyu Wismagatha, Pande Gede Dani Zerina Nur Salsabila