Claim Missing Document
Check
Articles

RANCANG BANGUN SISTEM PENGELOLAAN DATA PERPUSTAKAAN BERBASIS WEBSITE Safira; I Wayan Santiyasa; Ngurah Agus Sanjaya ER
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

Perpustakaan adalah tempat yang menyediakan, mengumpulkan, serta menyimpan koleksi bahan pustaka dan dengan cara khusus mengelolanya sebagai sumber informasi untuk memenuhi kebutuhan intelektual penggunanya. Perpustakaan menjadi salah satu tempat yang paling sering dikunjungi oleh seseorang khususnya mahasiswa apabila ingin mencari, membaca, belajar, meminjam atau bahkan hanya sekedar untuk melihat-lihat koleksi bahan pustaka yang ada. Dalam menjalankan tugasnya sebagai petugas perpustakaan, biasanya terdapat berbagai masalah yang berkaitan dengan pengelolaan data perpustakaan, seperti proses peminjaman buku yang sulit, pengembalian buku yang melewati batas waktu peminjaman, dan lain sebagainya. Oleh karena itu seiring dengan berkembangnya teknologi informasi, dibutuhkan sebuah sistem yang dapat mengatasi masalah-masalah tersebut. Berdasarkan permasalahan tersebut, maka dikembangkan sebuah sistem pengelolaan data perpustakaan berbasis website yang diharapkan dapat mempermudah petugas perpustakaan dalam mengelola data perpustakaan secara cepat, tepat dan akurat. Sistem ini dibangun dengan menggunakan bahasa pemrograman PHP, framework Codeigniter 3 dan basis data MySQL.
Cryptocurrency Prediction With Social Media Darryl Patrick Matheuw Kurniawan; I Wayan Santiyasa
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 3 (2024): JELIKU Volume 12 No 3, February 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/JLK.2023.v12.i03.p14

Abstract

Social Media adalah suatu wadah bagi kita manusia dalam berkomunikasi, tidak jarang juga kita banyak membagikan kehidupan kita didalam social media. Baik berupa hiburan, bisnis atau hal lainnya.maka dari itu penelitian ini akan menggunakan social media konten untuk memprediksi masa depan , contohnya adalah memprediksi harga dari cryptocurrency. Dengan menggunakan twitter sebagai media social, jurnal ini akan menunjukan suatu model yang dapat kita gunakan untuk memprediksi harga cryptocurrency.
Perancangan Ulang Website Itinerary untuk Daerah Wisata Kabupaten Badung Menggunakan Metode User Centered Design Putu Audy Cipta Pratiwi; Luh Arida Ayu Rahning Putri; I Wayan Santiyasa; Gst Ayu Vida Mastrika Giri
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 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/JLK.2024.v12.i04.p05

Abstract

Pariwisata menjadi sektor vital dalam perekonomian Indonesia, termasuk di Kabupaten Badung, Bali yang merupakan salah satu destinasi utama di Indonesia. Dengan peningkatan kunjungan wisatawan, diperlukan informasi wisata yang mudah diakses. Namun, pengalaman pengguna yang kurang optimal dalam menggunakan website Itinerary Travaa untuk merencanakan perjalanan wisata menunjukkan perlunya perancangan ulang. Penelitian ini menerapkan metode User Centered Design (UCD) dalam proses perancangan ulang website Itinerary Travaa, dengan tujuan untuk memastikan website tersebut dapat digunakan dengan mudah dan efektif oleh pengguna. Evaluasi Usability terhadap website Itinerary Travaa sebelum redesign menunjukkan beberapa kelemahan dalam dengan nilai rata-rata Usability mencapai 59,78%. Setelah dilakukan perancangan ulang dengan pendekatan User Centered Design, hasil evaluasi menunjukkan peningkatan yang signifikan yakni meningkat sebesar 48,21% dengan nilai rata-rata Usability mencapai 88,62%. Rata-rata nilai Usability tersebut termasuk kriteria "Sangat Baik", menunjukkan bahwa penerapan metode User Centered Design berhasil menghasilkan website Itinerary Travaa yang memenuhi kebutuhan dan preferensi pengguna, serta memberikan pengalaman pengguna yang optimal dan memuaskan.
Ekstraksi Fitur Dengan Convolutional Neural Network Dan Rekomendasi Fashion Menggunakan Algoritma K-Nearest Neighbours I Gede Teguh Permana; Ida Bagus Gede Dwidasmara; Made Agung Raharja; I Wayan Santiyasa
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 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/JLK.2024.v12.i04.p10

Abstract

Pesatnya pertumbuhan industri fashion pada platform e-commerce sehingga fashion dapat diperoleh dengan mudah oleh berbagai segmentasi konsumen. Segmentasi konsumen dapat direpresentasikan disetiap search jenis fashion yang di inginkan, namun search jenis fashion pada e-commerce dilakukan dengan search berbasiskan kata kunci string sehingga segmentasi konsumen terhadap karakteristik fashion sulit dilakukan. Fashion merupakan object yang mudah dikenali secara visual sehingga search berbasiskan gambar sangat diperlukan pada platform e-commerce untuk memilih fashion berbasiskan segmentasi konsumen. Implementasi search berbasiskan gambar dapat dilakukan dengan rekomendasi fashion berbasiskan content dengan k-nearest neighbour (KNN) untuk melakukan pendekatan antara feature fashion terhadap input image fashion oleh konsumen dengan setiap feature data dilakukan ekstraksi feature kedalam convolution layer pada model convolutional neural network (CNN) dan histogram oriented gradient (HOG) dapat dievaluasi dengan top-n accuracy terhadap model Resnet, GoogLeNet, VGG, dan HOG dengan masing-masing performa model tersebut dibandingkan sehingga dapat diperoleh accuracy sebesar 93% pada GoogLeNet dengan KNN sebagai model terbaik dalam rekomendasi fashion. Adapun pendekatan antara feature fashion dilakukan berbasiskan hasil label dari proses classification ke dalam convolution dan fully connected layer pada convolutional neural network (CNN) dapat dievaluasi dengan evaluation matrices terhadap model Resnet, GoogLeNet, VGG dengan masing-masing performa model tersebut dibandingkan sehingga dapat diperoleh nilai accuracy sebesar 99%, precision sebesar 100%, recall 99%, f1-score 99% pada VGG sebagai model terbaik untuk identifikasi jenis fashion. Keywords: Fashion, Ekstraksi Feature, Sistem Rekomendasi, Arsitektur CNN, HOG, KNN, Evaluation Matrices, Top-n accuracy
Perancangan UI dan UX pada Aplikasi Pencari Homestay di Labuan Bajo Patiatma, Mariano Charlos; Santiyasa, I Wayan
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 2 (2024): JNATIA Vol. 2, No. 2, Februari 2024
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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

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 Android-based 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. Keywords: Homestay, Applications, Android, UML, Marketplace, Traveler
Perancangan Desain UI/UX Untuk Aplikasi Loyalty Point Agent Menggunakan Metode Design Thinking Dwi Putra, I Made Paramadhika; Santiyasa, I Wayan
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

Since the first spread of COVID-19 in Indonesia, technological developments in Indonesia have entered the industrial era 4.0. where this causes a change in habits, especially shopping where the current online shopping phenomenon makes it easy for customers to buy goods or services via mobile or websites so it is slowly replacing the existence of conventional traders. As a result, MSME business actors in this digital era need an innovation that not only attracts new customers but can also make these new customers become regular customers so that they can increase customer retention during the Covid-19 pandemic, namely by introducing a loyalty system. Even so, the current loyalty system still has shortcomings, including a loyalty system with a card where customers cannot see the points that have been accumulated, there is no complete information about the benefits obtained, the lack of variety in loyalty, and others. Therefore, this study aims to analyze the functional requirements of the loyalty point agent app that is used to introduce the loyalty system to MSME business customers. The method used in this research is Design Thinking and the result of this research is the UI/UX design of the loyalty point agent application.
Sistem Informasi Prediksi Penjualan E-Commerce Menggunakan Analisis Data Historis dan Algoritma MLR Wardhana, I Gusti Putu Wisnu; Santiyasa, I Wayan
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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

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. Keywords: e-commerce, sales prediction, historical data, multiple linear regression, forecasting
Image Restoration Menggunakan Metode Lucy-Richardson pada Citra Digital Gotama, Sammaditthi; Santiyasa, I Wayan
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 2 (2024): JNATIA Vol. 2, No. 2, Februari 2024
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

This journal discusses the use of the Lucy-Richardson method for image restoration on digital images. Digital images are often affected by noise or blur, which can cause the image to be too contrasted, out of focus, less sharp, and so on. Therefore, digital image processing technology is very important to improve image quality. Image restoration is one of the digital image processing techniques used to improve images that are affected by noise or blur. The Lucy-Richardson method is one of the methods that can be used to perform image restoration on digital images. In this journal, we will discuss the basic theory of the Lucy-Richardson method, the implementation of the Lucy-Richardson method on digital images, and the evaluation of the results of using the Lucy-Richardson method on digital images. The purpose of this journal is to provide a better understanding of the use of the Lucy-Richardson method for image restoration on digital images. Keywords: Image restoration, Lucy-Richardson method, Digital Imaga, Noise
Perlindungan Seed Phrase dengan Enkripsi Dual-Layer Menggunakan Algoritma AES dan Caesar Cipher Maulana, Raihan Akbar; Santiyasa, I Wayan
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 3 (2024): JNATIA Vol. 2, No. 3, Mei 2024
Publisher : Informatics Study Program, 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.p19

Abstract

In the digital era, securing sensitive information such as seed phrases are crucial to prevent unauthorized access and potential loss of digital assets. This paper proposes a novel approach for protecting seed phrases using dual-layer encryption with AES algorithm and Caesar cipher. The AES algorithm is utilized to encrypt the seed phrase itself, providing a strong first layer of defense. Additionally, Caesar cipher is employed to encrypt the AES secret key, adding an extra layer of security to the encryption process. By combining these two encryption techniques, the security of the seed phrase is significantly enhanced, as both the phrase and its encryption key are protected. Furthermore, the encrypted seed phrase and key can be securely stored using email as a digital storage medium, enhancing accessibility while maintaining robust security measures. Keywords: Cryptocurrency, Seed Phrase, Encryption, Advanced Encryption Standard, Caesar Cipher
Rancang Bangun Web Service API Aplikasi Jual Beli Barang Bekas Menggunakan Metode REST Prakoso, Anang Bagus; Santiyasa, I Wayan
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

The development of Information Technology plays a very important role in human life and has made great progress in various aspects such as business. With the development of IT in the business aspect, various applications and services have emerged electronically, one of which is e-commerce. To support the process of data transactions in e-commerce, it is necessary to apply web service technology with safer data transactions, high interoperability, and users can access anytime and anywhere. The architecture used in the design of this research is REST. With the implementation of the REST architecture in the implementation of this research, the percentage of success is 100%. These results are obtained from the Blackbox test on conditions that are in accordance with the functional requirements of each function.
Co-Authors Agastia Maulana Akbar Anak Agung Istri Ngurah Eka Karyawati 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 Darryl Patrick Matheuw Kurniawan Dewa Ayu Putri Diah Pramesti Dewi, Ni Luh Yulia Alami Dwi Putra, I Made Paramadhika 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 Anom Cahyadi Putra I Gusti Ngurah Anom Cahyadi Putra I Gusti Putu Wisnu Wardhana I Ketut Gede Suhartana I Komang Ari Mogi I Komang Ari Mogi I Komang Ari Mogi, I Komang Ari I Komang Roni Sudarmawan I Made Paramadhika Dwi Putra I Made Widiartha I Made Widiartha I Putu Bayu Eka Pratama I Putu Fajar Tapa Mahendra I WAYAN PULANTARA I Wayan Supriana Ida Ayu Gde Suwiprabayanti Putra Ida Bagus Gede Dwidasmara Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Kurniawan, Darryl Patrick Matheuw Luh Arida Ayu Rahning Putri Luh Eka Kusumayanti Luh Gede Astuti Luh Putu Eka Nadya Wati Made Agung Raharja Marselinus Putu Harry Setyawan Maulana, Raihan Akbar Michael Tanaya Nathanael Richie Thomas Ngurah Agus Sanjaya ER Ni Made Novia Nurtiani Ni Putu Ambalika Dewi 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 Ririmasse, Charles Alexander Rizky, Muhammad Firyanul Safira 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