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All Journal (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sistem dan Informatika Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) CESS (Journal of Computer Engineering, System and Science) Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Journal of Information Technology and Computer Science (JOINTECS) Jurnal Ilmiah FIFO Informatics for Educators and Professional : Journal of Informatics Jurnal Informatika Universitas Pamulang SISFO WIDYABHAKTI Jurnal Ilmiah Populer @is The Best [Accounting Information System & Information Technology Business Enterprise] JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Pengabdian Masyarakat Borneo bit-Tech Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Ilmiah Pengabdian dan Inovasi Seminar Ilmiah Nasional Teknologi, Sains, dan Sosial Humaniora (SINTESA) Jurnal Pengabdian Informatika (JUPITA) SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Gede Surya Rahayuda
Universitas Udayana
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Social Sciences Other

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PELATIHAN FOTO DAN VIDEO UNTUK PEMASARAN MEDIA SOSIAL IRT JAMU HERBAL KELOMPOK KOLOK DESA BENGKALA Ni Putu Linda Santiari; I Putu Ramayasa; I Wayan Kayun Suwastika; Sindyawati Rari Duli Goran Tokan; Ni Nyoman Supuwiningsih; I Gede Surya Rahayuda
Jurnal Pengabdian Informatika Vol. 4 No. 1 (2025): JUPITA Volume 4 Nomor 1, November 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This community service activity aimed to enhance the digital marketing capacity of home-based herbal drink enterprises operated by the deaf community in Bengkala Village, Buleleng Regency. The main problems faced by the partner were low digital marketing literacy and limited skills in producing attractive visual product content, resulting in reliance on conventional promotion methods and limited market reach. The implementation employed a descriptive-participatory approach, including initial observation, brief interviews, offline training on basic product photography and video recording using smartphones, and online training on the use of Facebook as a digital marketing platform. The results indicated an improvement in the partner’s understanding of social media functions for marketing purposes and basic competencies in product photography and video techniques, such as lighting, shooting angles, and product arrangement. Although consistent promotional content has not yet been produced, the training successfully built initial readiness and awareness of the importance of digital marketing. This activity contributes to strengthening the capacity of home-based enterprises by utilizing local potential and supporting the inclusive values of Bengkala Village.
Analisis Sentimen Gemini AI Menggunakan Multinomial Naïve Bayes dengan TF-IDF dan BoW Yeremi Kornelius Purba; I Gede Surya Rahayuda
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 2 (2026): JNATIA Vol. 4, No. 2, Februari 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.i02.p03

Abstract

The development of artificial intelligence Large Language Models, such as Gemini AI, has attracted widespread public attention. The advanced development of Gemini AI is inseparable from valuable public reviews for product evaluation, but the massive amount of reviews makes manual analysis inefficient. This study aims to conduct sentiment analysis on Gemini AI application reviews using the Multinomial Naïve Bayes classification algorithm. The primary focus is to compare the performance of two feature extraction methods: Term Frequency-Inverse Document Frequency (TF-IDF) and Bag-of-Words (BoW). A total of 1,000 reviews were collected from the Google Play Store, which, after undergoing preprocessing and data labelling, resulted in 438 data points for analysis. The model evaluation results show that TF-IDF feature extraction provides superior performance with an accuracy of 88% and an F1-Score of 93%, compared to BoW, which produces an accuracy of 84% and an F1-Score of 91%. These results indicate that the TF-IDF feature extraction method is more effective in analysing the sentiment of Gemini AI app reviews using Multinomial Naïve Bayes.
Memanfaatkan Motion Sensor untuk Pencegahan Pencurian Barang Rafly Shaquille Subhan; I Gede Surya Rahayuda
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 1 (2023): JNATIA Vol. 2, No. 1, November 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.v02.i01.p02

Abstract

In response to escalating security concerns, this research investigates the potential of motion sensors as a cutting-edge technology for theft prevention. The study employs experimental and quantitative methods to evaluate the efficacy of motion sensors in diverse settings, focusing on the prevention of helmet theft, a significant issue in various regions. Utilizing Packet Tracer simulation, the implementation of motion sensors is explored, emphasizing factors such as placement, sensitivity settings, and effective monitoring. The findings demonstrate a substantial reduction in theft incidents, attributing this success to the swift detection of suspicious movements and prompt alerts to authorities. The research underscores the importance of proper usage and maintenance in maximizing the anti-theft capabilities of motion sensors. By simulating the implementation through Packet Tracer, the study not only leverages conceptual and theoretical aspects but also provides practical testing replicable and analyzable through simulations. The research aims to contribute valuable insights into the application of motion sensor technology for preventing helmet theft and encourages the widespread adoption of quality helmets for enhanced safety. 
Optimasi C4.5 Berbasis PSO untuk Prediksi Kanker Payudara dengan Data BC Wisconsin Tun Pasek Sarwiko Dipranoto; I Gede Surya Rahayuda
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 3 (2025): JNATIA Vol. 3, No. 3, Mei 2025
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.2025.v03.i03.p07

Abstract

Breast cancer is a type of cancer that often arises from the development of abnormal cells in breast tissue, which then grow uncontrollably. In Indonesia, breast cancer cases are the highest compared to other types of cancer and are one of the main causes of death. This research aims to optimize the C4.5 algorithm using Particle Swarm Optimization (PSO) to predict breast cancer using the Wisconsin Breast Cancer dataset. Breast cancer remains one of the leading causes of death in women worldwide, emphasizing the importance of early detection and accurate classification. Previous research has demonstrated the effectiveness of various algorithms, including Decision Tree, Naive Bayes, and K-Nearest Neighbors, in diagnosing breast cancer, with K-Nearest Neighbors often demonstrating superior accuracy. This research evaluates the performance of the C4.5 algorithm, both before and after being optimized with PSO. Preliminary results show that the C4.5 algorithm without optimization achieves 94% accuracy. After optimization with PSO, the accuracy increased to 96%, highlighting the potential of PSO in improving prediction models for breast cancer diagnosis. 
Implementasi Particle Swarm Optimization pada Sistem Rekomendasi Tanaman Hortikultura Berbasis Naïve Bayes Kadek Belvanatha Gargita Satwikananda; I Gede Surya Rahayuda
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 3 (2025): JNATIA Vol. 3, No. 3, Mei 2025
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.2025.v03.i03.p08

Abstract

Indonesia is an agrarian country with an environment that strongly supports agricultural processes. Because of this, crops are one of Indonesia’s main commodities and choosing a right crop to cultivate becomes a crucial process. Nowadays, lots of recommendation system has been made to help with decision making. A crop recommendation system is one of them and prove to be helpful in helping farmers decide what crop to plant based on the condition of the environment. An idea of implementing particle swarm optimization on a crop recommendation system occurred. Particle swarm optimization can be implemented to choose the presumably best parameter for a Gaussian Naïve Bayes model. The result of implementing particle swarming optimization to find the best smoothing parameter is the accuracy of the model reaching 99.5%. However, this is not different to the result of the model without particle swarm optimization which reach the accuracy of around 99.5% too. 
Pemanfaatan Asap Detektor untuk Pembuatan Smart Garasi Berbasis IoT Jamrud Ivan Hartono; I Gede Surya Rahayuda
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 2 (2025): JNATIA Vol. 3, No. 2, Februari 2025
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.2025.v03.i02.p12

Abstract

As a response to increasing safety and efficiency problems, utilizing the Package Tracer simulation, this research aims to create a smart garage that provides a new solution to the public to provide warnings to avoid fires, vehicles are not left in closed garages for too long so that things don't happen. dangerous things and to increase garage efficiency. This research uses experimental and quantitative methods, which are the methods used to design a system. With this system, garages will avoid theft and fires to quickly apply sensor advances in various situations, with a focus on vehicles that stay too long in the garage and smartphone-enabled garages, which is an important problem in many homes. Utilizes Packet Tracer simulation, emphasizing factors such as placement, sensitivity settings, and effective use. This article provides valuable insight into potential opportunities for future research and innovation in the field of smoke detection. This research highlights the importance of proper use and maintenance in maximizing the capabilities of smoke detectors. 
Perancangan Desain Antarmuka Aplikasi Soul Notes dengan Metode Design Thinking Berbasis Mobile Ni Komang Purnami; I Gede Surya Rahayuda
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 1 (2024): JNATIA Vol. 3, No. 1, November 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.v03.i01.p09

Abstract

This study aimed to design an interface for the Soul Notes application using design thinking methodology, focusing on mobile-based applications. The study employed a qualitative approach, involving 5 participants who were asked to use the application and provide feedback. The results showed that the participants found the application easy to use and appreciated its features, such as mood tracking and relaxation techniques. The study also found that the participants valued the application's ability to provide a platform for expressing emotions freely and securely. The results of the study were analyzed using the Single Ease Question (SEQ) method, which indicated a high level of ease of use, with an average score of 6.52 out of 7. The study's findings suggest that the Soul Notes application can effectively support mental well-being and emotional management, and that its design should prioritize user experience and security 
Simulasi Kontrol Lampu Jarak Jauh Menggunakan Cisco Packet Tracer Ahmad Royyan Fath; I Gede Surya Rahayuda
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.p07

Abstract

The advancement of Internet of Things (IoT) technology has significantly contributed to various aspects of modern life, particularly in smart home applications. One essential feature of a smart home is a remote light control system that enables users to manage household lighting more efficiently. This research simulates an IoT-based light control system using Cisco Packet Tracer, focusing on the design and implementation of a smart home network topology. The system consists of a Wi-Fi router, multiple smart lights, and a smartphone as the primary control device. The methodology includes network topology design, device configuration, and communication testing to evaluate system performance. The test results indicate that the system successfully operates according to the predefined scenarios, where smart lights respond to commands from a smartphone quickly and reliably via a Wi-Fi network. Additionally, the system demonstrates stable communication between IoT devices, even under network variations. This simulation highlights the potential of IoT-based light control systems in enhancing energy efficiency and providing greater convenience in home automation. Future research can expand this system by integrating sensor-based automation and cloud connectivity to improve flexibility, security, and scalability. 
Pengembangan Algoritma Caesar Cipher dalam Game-Based Learning untuk Pendidikan Kriptografi pada Anak Putu Arya Dharma Kesuma; I Gede Surya Rahayuda
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.p11

Abstract

The decline in children's interest in learning due to easy access to games is the main reason I designed game-based learning. To make learning more engaging, presenting materials in an interactive way is essential. Game-based learning addresses this issue by packaging educational content attractively, increasing children's interest in learning. This game will introduce the world of IT to children, particularly cyber security. One key concept is cryptography, using the Caesar cipher algorithm due to its simplicity and suitability for children. The Caesar cipher enables both encryption and decryption processes, making it perfect for teaching cryptography basics. By designing the game as an interactive mystery, it aims to enhance children's learning interest and introduce them to cyber security effectively, making learning both fun and educational. 
Integrasi Chatbot Berbasis GPT Terhadap Website E-Commerce (Studi Kasus Toko JSA) Made Putra Teguh Pramana; I Gede Surya Rahayuda
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.p27

Abstract

A website is a series of sites with related hyperlinks that individual, organization, company, or government made. E-commerce websites are websites that have features for transaction through online services. Toko jsa emas perak is one of the companies that want to develop its company’s presence on the internet using e-commerce websites. uniqueness is important to have an edge between online competition. By implementing chatbot system in the e-commerce websites it can increase the effect on user in each interaction. the propose of this research is to implement a chatbot service in the toko jsa websites. 
Co-Authors A. A. Ayu Meitridwiastiti Agus Muliantara Ahmad Royyan Fath Anggrek, Denise Valeria Arituddiniyah, Ira Arso, Norsa Yudhi Asa Prameswari Karso Buce Trias Hanggara Citarsa, Ida Bagus Satrya Masyana Cokorda Pramartha Cokorda Pramartha Cokorda Rai Adi Pramartha Dadang Hermawan Dananjaya, I Gede Agastya Dewi Yanti Liliana Diah Priharsari Dwi Cahya Astriya Nugraha Fath, Ahmad Royyan Gde Agung Mandala Bendesa Haposan Simangunsong I Dewa Made Bayu Atmaja Darmawan I Gede Hendra Suputra I Gede Satria Wibawa I Gusti Ayu Riyani Astarani I Gusti Bagus Agung Kusuma Atmaja I Gusti Bgs Darmika Putra I Gusti Ngurah Anom Cahyadi Putra I Kadek Dwi Adnyana I Ketut Gede Suhartana I Ketut Santa Wijaya I Komang Ari Mogi I Komang Jay Yogi Ram I Made Widhi Wirawan I Nyoman Sunda I Putu Gede Hendra Suputra I Putu Ramayasa, I Putu I Wayan Jepriana Indira Putri Hendini Ira Arituddiniyah Ismiarta Aknuranda Jamrud Ivan Hartono Kadek Belvanatha Gargita Satwikananda Kesuma, Arya Dharma Ketut Agus Cahyadi Nanda Kevin Moses Waleleng Komang Bhargo Bhaskara Komang Kartika Noviyanti Linda Santiari Linda Santiari, Ni Putu Luh Gede Astuti M. Gilvy Langgawan Putra Made Putra Teguh Pramana Ngakan Made Alit Wiradhanta Ni Kadek Sukerti Ni Komang Ayu Juliana Ni Komang Purnami Ni Luh Gede Pivin Suwirmayanti Ni Made Dwijayani Ni Nyoman Muryatini Ni Nyoman Supuwiningsih Ni Putu Anita Dewi Ni Putu Linda Santiari Ni Putu Linda Santiari Noveria Anggraeni Fiaji Pramathana, Raindra Pratami, Ni Wayan Cahya Ayu Prathama, Hammam Akmal Putu Adi Guna Permana Putu Arya Dharma Kesuma Putu Vidi Nararia Ningrat Rafly Shaquille Subhan Raharja, Made Agung Santiari, Linda Santiari, Putu Linda Simamora, Monika Hermiani Yolanda Sindyawati Rari Duli Goran Tokan Subhan, Rafly Shaquille Suwastika, I Wayan Kayun Suwastika, I Wayan Kayun Teguh Pramana, Made Putra Tun Pasek Sarwiko Dipranoto Yeremi Kornelius Purba Zulvarina, Prima