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All Journal (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Gede Arta Wibawa
Universitas Udayana
Humanities Computer Science & IT Engineering Other

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PEMBUATAN SISTEM INPUT DATA TEKNISI PADA ROLE ADMIN BERBASIS WEBSITE PADA TELKOM WITEL DENPASAR Mohammad Rizky Kustiadie; I Putu Gede Hendra Suputra; I Gede Arta Wibawa
Jurnal Pengabdian Informatika Vol. 1 No. 4 (2023): JUPITA Volume 1 Nomor 4, Agustus 2023
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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

Abstract

Perkembangan teknologi informasi memberikan dampak yang sangat besar kepada masyarakat dalam melakukan pekerjaan. Dengan semakin majunya teknologi maka dapat mempermudah pekerjaan. Namun, masih terdapat beberapa kendala dalam melakukan pekerjaan yang menggunakan teknologi. Salah satunya adalah pengolahan data pada Telkom Witel Denpasar yang selama ini dalam proses pengolahan data teknisi masih menggunakan Microsoft Excel dan Telegram, dimana cara tersebut kurang efektif. Dengan melihat adanya kekurangan dalam pengolahan data tersebut maka dibutuhkan sebuah sistem baru yang mampu melakukan pengolahan data yang dapat membantu admin secara cepat dan tepat serta dapat melakukan pembaharuan data. Salah satu caranya adalah membuat sistem pengolahan informasi yang berbasis web dengan bahasa pemrograman PHP dengan database MySQL. Dengan dibuatkannya sistem ini, diharapkan dapat memudahkan proses pengolahan data.
Sistem Rekomendasi Film Dengan Pendekatan Ontologi Qaris Ardian Pratama; I Gede Arta Wibawa
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, 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/JLK.2023.v12.i02.p06

Abstract

Movie is one of the easiest and cheapest entertainment human can experience. Nevertheless, there is an abundant amount of movies to watch. In the US and Canada alone, there are 403 movies produced in 2021. That is a huge amount of movies one person can watch. Most of people usually confused in determining which movies to watch, especially after watching a movie that truly suits their taste. Determining a decision in choosing a movie to watch requires a recommendation system. The recommendation system will provide decisions with good accuracy if it is collaborated with the Semantic Web using ontologies. In this study, researchers aims to build a movie ontology design which will later be used as a processing database in a movie selection recommendation system. In building the ontology, researcher requires the Methontology method. The methontology stages are performing the stages of specification, knowledge acquisition, conseptualizationo, integration, implementation, evaluation, and documentation.
Analisis UX pada Aplikasi Pemutar Video Animasi dengan Metode Usability Testing I Gusti Ngurah Esa Nandana; I Gede Arta Wibawa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 4 (2025): JNATIA Vol. 3, No. 4, Agustus 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.i04.p02

Abstract

A popular animation streaming platform requires a structured User Experience (UX) evaluation to ensure its ease of use. This study aims to analyze the usability level of an animation video player application using a mixed-method Usability Testing approach. The test was conducted on 5 active users, where performance data (success rate, time efficiency, error rate) and perceptual data (satisfaction level) were collected through task-based observation sessions and a post-test questionnaire. The results indicate a perfect task success rate (100%) and a high user satisfaction level (88%), but also reveal a significant error rate of 60%. The primary source of errors was identified as the ambiguity of iconography without text labels on certain features. In conclusion, the application is proven to be functional and satisfying, but it is recommended to improve the clarity of the interface design to minimize user errors and enhance the overall UX.
Analisis UX pada Aplikasi Komik Digital Menggunakan Metode Usability Testing Nanda Asmara Ramdhan Putra; I Gede Arta Wibawa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 1 (2025): JNATIA Vol. 4, No. 1, November 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.v04.i01.p02

Abstract

The shift to digital media has intensified competition among comic applications, making User Experience (UX) a critical determinant of success. This study evaluates a digital comic app's UX via Usability Testing with five users , measuring effectiveness, errors, learnability, and satisfaction.Results indicate a 100% task completion rate , yet a high error rate of 60% reveals significant usability issues. The "Change Notification" and "Download Offline" features were the primary sources of errors , scoring lowest in learnability. Interestingly, high user satisfaction contrasts with the high error rate , suggesting users encountered non-critical errors that hindered efficiency but did not spoil the overall experience. In conclusion, while functionally effective , the application requires a targeted redesign of its notification and download features to improve usability.
Klasifikasi Genre Buku Berdasarkan Sinopsis Menggunakan Naïve Bayes dan Logistic Regression Anak Agung Anom Witaradiani; I Gede Arta Wibawa; Putu Praba Santika
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 4 (2025): JNATIA Vol. 3, No. 4, Agustus 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.i04.p13

Abstract

Genre is an important element in book categorization based on specific content characteristics or themes. However, manual classification processes are no longer efficient due to the increasing volume of literature. This study aims to compare the performance of Naïve Bayes and Logistic Regression algorithms in book genre classification based on synopses. The dataset used is secondary data obtained from Kaggle. The dataset consists of 4,535 samples after the preprocessing stage, with feature representation using the TF-IDF method. To address class distribution imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied. The evaluation was conducted using accuracy, precision, recall, and F1-score metrics. The experimental results show that Logistic Regression achieved the best performance with 75.19% accuracy and 75.16% F1-score, while Naïve Bayes achieved 72.22% accuracy and 72.11% F1-score. Based on this evaluation, Logistic Regression is considered more effective in classifying book genres from synopsis text.
Co-Authors Anak Agung Anom Witaradiani Anak Agung Gde Krishna Aryawan Anak Agung Istri Ngurah Eka Karyawati Arvanchrist Charlie Wijaya Cokorda Pramartha Gst. Ayu Vida Mastrika Giri I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu I Gede Alanda Indra Kusuma I Gede Diva Dwijayana I Gusti Agung Gde Abhirama Adnyana I Gusti Ayu Nyoman Tri Wahyuni Mahayani I Gusti Ngurah Esa Nandana I Nyoman Arlan Kusuma Ardika I Putu Gede Hendra Suputra I Wayan Wijaya Kusuma Sandi Ida Bagus Made Mahendra Mohammad Rizky Kustiadie Muhammad Akbar Hamid Nanda Asmara Ramdhan Putra Ni Ketut Intan Setiawati Putu Praba Santika Qaris Ardian Pratama