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All Journal Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Gde Krishna Sankya Yogeswara
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Humanities Computer Science & IT Engineering Other

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PERANCANGAN SISTEM INFORMASI BERBASIS WEB PADA GOPALA TOUR AND TRAVEL Gde Krishna Sankya Yogeswara; I Ketut Gede Suhartana; I Made Widiartha
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

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Abstract

A tour and travel website was developed to improve the efficiency of online information delivery and service booking for Gopala Bali Tours. The system enables customers to view tour packages, transportation services, and make direct reservations through a responsive online form accessible across devices. This replaces previous manual methods of promotion and booking via social media or direct communication, thereby streamlining service processes and enhancing the company’s professional image. An admin dashboard is also provided to allow business owners to independently manage content and monitor booking data. Socialization and training sessions were conducted to ensure effective system use. Evaluation results indicate that the website is user-friendly, informative, and contributes positively to the digital transformation of tourism services.
Pengklusteran Data Iris Menggunakan Metode Fuzzy C-Mean Gde Krishna Sankya Yogeswara
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 2 (2024): JNATIA Vol. 2, No. 2, Februari 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.i02.p04

Abstract

This study focuses on the application of the Fuzzy C-Means method for clustering the Iris dataset. Clustering is a widely used technique for grouping similar data objects together, and the Iris dataset, which consists of measurements of iris flowers, has been a popular choice for clustering analysis. The Fuzzy C-Means algorithm, based on fuzzy logic, allows for a more flexible and nuanced approach to clustering by assigning degrees of membership to data points, capturing the inherent uncertainty and ambiguity in the dataset. By utilizing fuzzy logic, the Fuzzy C-Means method aims to accurately classify iris flowers into distinct clusters based on their petal width, petal length, sepal width, and sepal length. The results of this study contribute to the understanding of fuzzy clustering techniques and their application in pattern recognition and data analysis. 
Co-Authors I Ketut Gede Suhartana I Made Widiartha