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All Journal International Journal of Electrical and Computer Engineering Jurnal Matematika Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Sains dan Teknologi JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Pengabdian Informatika (JUPITA) Prosiding Seminar Nasional Universitas Ma Chung JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Anggit: Jurnal Desain Produk Jurnal Nasional Teknologi Informasi dan Aplikasinya
I WAYAN SANTIYASA
Universitas Udayana
Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Perancangan UI dan UX pada Aplikasi Pencari Homestay di Labuan Bajo Mariano Charlos Patiatma; I Wayan Santiyasa
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.p02

Abstract

Labuan Bajo is one of the popular tourist destinations in Indonesia. With the significant growth in the number of tourists, the need for homestays or local accommodation is increasing. However, tourists often have difficulty finding a homestay that suits their preferences, both in terms of price,facilities or location. This research aims to develop an Android-based homestay application that can help tourists find a homestay that suits their preferences. This application was developed using prototyping and modeling methods. The research results show that an Androidbased homestay application can help tourists find a homestay that suits their preferences. This application has features such as searching for the nearest homestay, rating filters, prices and desired facilities. This application can be a solution for tourists who want to find a homestay that suits their needs. This application can also help homestay managers to promote their homestays to tourists. 
Optimasi SVM untuk Klasifikasi Warna Investigasi Terhadap Pengaruh Fungsi Kernel dan Penyetelan Parameter Pande Gede Dani Wismagatha; I Wayan Santiyasa
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.p15

Abstract

Color plays a crucial role in visual applications such as object recognition, image processing, computer vision, and computer graphics. Support Vector Machine (SVM) algorithms have gained attention for color classification due to their ability to handle complex data. SVM, a machine learning algorithm for classification and regression, aims to find optimal decision boundaries. In color classification using SVM, color data is represented by feature vectors, and SVM learns patterns to classify colors accurately. The SVM algorithm demonstrates a high accuracy rate, with an average accuracy of approximately 85% in color detection. This indicates the SVM's ability to effectively separate and classify colors with precision. SVM is proven to be effective in handling non-linear color data by utilizing kernel functions to transform the feature space into higher dimensions, enabling accurate classification of complex color data. The outstanding performance of the SVM algorithm in color detection presents vast potential applications in color recognition, image processing, computer vision, and computer graphics. SVM offers accurate and reliable solutions for object classification based on color characteristics in various contexts. 
Sistem Informasi Prediksi Penjualan E-Commerce Menggunakan Analisis Data Historis dan Algoritma MLR I Gusti Putu Wisnu Wardhana; I Wayan Santiyasa
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.p15

Abstract

Accurate sales to improve business planning and decision making. This study aims to design an information system that utilizes historical data and multiple linear regression algorithms to predict e-commerce sales. This study addresses the current challenges in forecasting uncertain sales by analyzing historical sales data and identifying relevant independent variables, such as marketing efforts, economic factors, and customer behavior. Through the implementation of a multiple linear regression algorithm, the system calculates the relationship between these variables and sales, enabling accurate predictions. The proposed information system provides valuable insights for businesses to optimize inventory management, marketing strategy and resource allocation. The experimental results show the effectiveness of the system in forecasting e-commerce sales, resulting in increased operational efficiency and revenue. This research contributes to the field of e-commerce analytics and assists businesses in making data-driven decisions for sustainable growth. 
Co-Authors Agastia Maulana Akbar Anak Agung Istri Ngurah Eka Karyawati Ananda Putra Anang Bagus Prakoso Arfal Razya Suhendra Ari Mogi, I Komang Astawan, Putu Bagus Rangga Permana Putra Atmadja, David Putra Ayu Kadek Nadya Oktaviana Berutu, Steven Gerald Parsaoran Brahmantha, Gede Putra Aditya Budiastawa, I Dewa Gede Charles Alexander Ririmasse Cokorda Rai Adi Pramartha Darryl Patrick Matheuw Kurniawan Dewa Ayu Putri Diah Pramesti Dewi, Ni Luh Yulia Alami Dwi Putra, I Made Paramadhika Esa Sulistyo Aji Nugroho Gede Agung Aji Andar Sakti Gotama, Sammaditthi Gst. Ayu Vida Mastrika Giri Gusti Ayu Vidjaretha Wardana Hairul Lana I Dewa Made Bayu Atmaja Darmawan I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu I Gede Arta Wibawa I Gede Santi Astawa I Gede Teguh Permana I Gusti Agung Gede Arya Kadyanan I Gusti Agung Ramananda Wira Dharma I Gusti Anom Cahyadi Putra I Gusti Ngurah Anom Cahyadi Putra I Gusti Putu Wisnu Wardhana I Kadek Revan Aditya Prawira I Ketut Gede Suhartana I Komang Ari Mogi I Komang Ari Mogi I Komang Ari Mogi, I Komang Ari I Komang Dwiprayoga I Komang Roni Sudarmawan I Komang Wahyu Pranata I Made Paramadhika Dwi Putra I Made Widiartha I Made Widiartha I Nyoman Adi Mahendra Putra I Putu Bayu Eka Pratama I Putu Fajar Tapa Mahendra I WAYAN PULANTARA I Wayan Supriana Ida Ayu Gde Suwiprabayanti Putra Ida Bagus A. Swamardika Ida Bagus Gede Dwidasmara Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Komang Andika Putra Komang Gede Bagus Devit Aditiya Kurniawan, Darryl Patrick Matheuw Luh Arida Ayu Rahning Putri Luh Eka Kusumayanti Luh Gede Astuti Luh Putu Eka Nadya Wati Made Agung Raharja Made Sastra Wiguna Mariano Charlos Patiatma Marselinus Putu Harry Setyawan Maulana, Raihan Akbar Michael Tanaya Nathanael Richie Thomas Ngurah Agus Sanjaya ER Ni Made Novia Nurtiani Ni Made Viona Rara Santhi Ni Putu Ambalika Dewi Pande Gede Dani Wismagatha Patiatma, Mariano Charlos permata, putu radheya surya Prakoso, Anang Bagus Pramesti, Dewa Ayu Putri Diah Prashanti, Ni Putu Vidya Vira Putra, Ananda Putra, Fathiyarizq Mahendra Putra, I Gusti Ngurah Agung Widiaksa Putra, I Made Alit Darma Putu Audy Cipta Pratiwi Putu Bagus Dio Pranata Qaris Ardian Pratama Raharja, Made Agung Raihan Akbar Maulana Ririmasse, Charles Alexander Rizky, Muhammad Firyanul Safira Sammaditthi Gotama Santhi, Ni Made Viona Rara Saputra, Made Yosfin Satya, I Dewa Gede Rama Tapa Mahendra, I Putu Fajar Tristan Nugraha Tanaya Wardhana, I Gusti Putu Wisnu Widiarthawan, I Kadek Wismagatha, Pande Gede Dani Yauw, Yauw James Fang Dwiputra Harta