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I Gede Surya Rahayuda
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Sekretariat JNATIA Gedung FMIPA Lantai 1, Program Studi Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana
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INDONESIA
Jurnal Nasional Teknologi Informasi dan Aplikasinya
Published by Universitas Udayana
ISSN : 29863929     EISSN : 30321948     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering
JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya) adalah jurnal yang berfokus pada teori, praktik, dan metodologi semua aspek teknologi di bidang ilmu komputer, informatika dan teknik, serta ide-ide produktif dan inovatif terkait teknologi baru dan teknologi informasi. Jurnal ini memuat makalah penelitian asli yang belum pernah diterbitkan. JNATIA (Jurnal Teknologi Informasi dan Aplikasinya) diterbitkan empat kali setahun (Februari, Mei, Agustus, November).
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 316 Documents
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Ekstraksi Fitur MFCC pada Lagu Gundhul Pacul Roger Julian Sitorus; I Gede Santi Astawa
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.p07

Abstract

MFCC is an effective method in audio feature extraction, including in song and music analysis. This method involves converting the frequency spectrum of the audio signal into the Mel scale, which is more in line with human auditory perception, and then calculating the cepstral coefficient. The results of the MFCC feature extraction on the song "Gundhul Pacul" show the pattern of the song's spectral and rhythmic characteristics. By using the MFCC representation, it is possible to see changes in energy and frequency patterns in audio signals at various time intervals. The results of the MFCC show that there are 13 resulting cepstral coefficients. However, the number of cepstral coefficients can be adjusted depending on the application and specific needs. 
Implementasi Algoritma A (Star) dengan Graf untuk Menentukan Rute Terpendek Distributor Kopi I Putu Andi Wiratama Putra; I Gede Arta Wibawa
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.p06

Abstract

In this research, the A Star algorithm is employed to find the most efficient route for goods distribution. Distributors encounter challenges in ensuring timely deliveries due to the presence of multiple destinations spread across different regions. Congestion further adds to the complexity of determining the shortest path. The A Star algorithm utilizes the distance-plus-cost function to prioritize the order of visiting points. This study utilizes primary data, comprising five shop locations in the Tabanan city, as nodes and incorporates the distances between the shops. The implemented program utilizes the A Star algorithm to compute the shortest route and present the path along with its corresponding distance. The objective of this research is to attain the shortest route and calculate the distance covered for the coffee distributor. 
Perancangan UI/UX Aplikasi Tanda Bahaya untuk Perlindungan Anak “SafeKid” Berbasis Mobile Ratri Desy Christirahma; Anak Agung Istri Ngurah Eka Karyawati
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.p05

Abstract

During the last 36 years, the National Center for Missing and Exploited Children has received more than 5 million calls about cases of missing children. In 2019 alone, the NCMEC assisted law enforcement and families with more than 29,000 cases of missing children. In Asia itself, it is estimated that there are around 20,000 to 200,000 missing children. More precisely in China and Southeast Asia. To help reduce the rate of loss of children in Indonesia, the authors created a design solution using the prototyping and UML methods. By using this prototype, users will be able to track the child's location and provide assistance in the form of a help button if something happens to the child. With this solution, it is hoped that it can help children who are in an emergency and parents who have lost their children so as to suppress the growth of cases of missing children. 
Evaluasi Desain UI pada Prototype Aplikasi Influencer Marketing Endorsfy dengan Metode SEQ Anak Agung Ngurah Mahadana Apta Gotra; Anak Agung Istri Ngurah Eka Karyawati
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.p04

Abstract

The success of a digital product relies heavily on the inseparable relationship between User Interface (UI) and User Experience (UX). Although UI is a fundamental aspect of UX, it's imperative to acknowledge that the UI's design, functionality, and ease of use are pivotal factors that can make or break a digital product's success. A top-notch UI design can significantly enhance the UX, while a deficient and convoluted UI can lead to a less-than-stellar user experience. In this study, we undertake the task of evaluating the UI quality of "Endorsfy" – an Influencer Marketing Mobile Application. We employ the Single Ease Question (SEQ) method and the Maze tool to assess the UI quality and determine if it meets the standards for optimal usability. Additionally, this evaluation will consider the usability aspect of the application to ensure that it delivers a seamless user experience. Our ultimate objective is to guarantee that "Endorsfy" achieves the highest standards for UI quality and usability, providing users with unparalleled experience when using the application. 
Klasifikasi Teks Spam dengan Algoritma Support Vector Machine dan Chi – Square - Perbaikan Tabel Getzbie Alfredo Tpoy; Agus Muliantara
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.p03

Abstract

Spam messages are messages that contain false information, commonly regarding events, banking, insurance, bills, advertisements, and viruses. To address the issue of spam, classification can be performed on the received messages. Classification can be done by separating texts that contain spam messages from texts that contain legitimate (ham) messages. In this study, spam text classification was conducted using the Support Vector Machine algorithm, feature selection using Chi-Square. The Chi-Square feature selection method was performed using percentages of 20%, 40%, 60%, and 80%, with accuracy, precision, recall, and F1-Score as the measured values. The result of study obtained was an accuracy of 98.82% with an F1-Score of 93.05% at a feature selection percentage of 60%, using the RBF kernel. Feature selection with percentages of 20%, 40%, and 80% resulted in accuracies of 97.93%, 98.29%, and 98.02%, respectively. These accuracies were better compared to the accuracy without feature selection, which was 97.57%. 
Low-level Images Extraction Features pada Algoritma SVM untuk Mengidentifikasi Kematangan Jeruk I Made Agus Rama Wijaya; I Ketut Gede Suhartana
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.p02

Abstract

Terkadang jika melakukan identifikasi secara manual oleh petani buah masih memunculkan peluang terjadinya human error saat panen. Untuk itu, penelitian ini dilakukan bertujuan untuk pelatihan klasifikasi terhadap buah jeruk guna mengurangi error rate dalam pemanenan. Kematangan buah dipisah ke dalam dua kelas yaitu matang dan belum matang. Dimana dataset yang digunakan merupakan data sekunder citra buah jeruk dengan total sebanyak 400 buah, yaitu 200 citra matang dan 200 citra belum matang. Metode yang digunakan adalah Support Vector Machine kernel linear dengan penggabungan Low-level Image Extraction Features, yaitu warna dengan color histogram, tekstur dengan metode Gray Level Co-occurance Matrix (GLCM), dan bentuk dengan kalkulasi kontur. Pembagian klasifikasi dilakukan dengan membagi dataset menjadi 20% data uji dan 80% data latih. Hasil klasifikasi pada penelitian mendapatkan nilai akurasi sebesar 96,34%. 
Prototype Aplikasi Edukasi Cyberbullying Berbasis Mobile Android Fiki Nur Rahman; Shendy Aditayahya Wardana; Pradityo Utomo
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.p01

Abstract

As technology develops rapidly, it has not only positive but also negative impacts; one of the negative impacts is the case of cyberbullying. Cyberbullying is an unpleasant action towards other people on the internet. One way to reduce cyberbullying is to create educational applications about cyberbullying. This application will provide an explanation of what cyberbullying is and how to prevent cyberbullying by providing an explanation that is light and easy to understand. This application is based on Android mobile, so it can more easily reach more users, using Java programming and display design using figma. 
Klasifikasi Lagu Daerah di Indonesia dengan Metode Machine Learning Gst. Ayu Vida Mastrika Giri; Made Leo Radhitya
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.p29

Abstract

Keunikan dari lagu daerah yang mencerminkan daerah asal adalah diiringi dengan alat musik daerah dan dinyanyikan dengan bahasa daerah masing-masing. Ciri khas lagu daerah dapat dilihat dari fitur-fitur musik seperti spectral centroid dan Mel Frequency Cepstral Coefficients (MFCC) karena dimainkan dengan alat musik berbeda dan memiliki timbre yang berbeda pula. Dengan menggunakan fitur-fitur musik tersebut dan algoritma machine learning, lagu-lagu daerah dapat diklasifikasi berdasarkan daerah asalnya. Pada penelitian ini digunakan sebuah dataset lagu daerah Indonesia yang bernama IRSD: Indonesian Regional Song Dataset yang terdiri dari 67 fitur musik yang diantaranya adalah MFCC, energy, dan spectral centroid dari 500 lagu daerah dari 10 provinsi di Indonesia. Metode machine learning yang akan digunakan untuk klasifikasi adalah SVM dan K-NN untuk menghasilkan nilai klasifikasi yang baik dengan waktu eksekusi yang cepat. Dengan menggunakan nilai K=3 dan 5-fold cross validation, metode K-NN menghasilkan nilai akurasi 0,69. Klasifikasi dengan metode SVM menggunakan kernel RBF dan 5-fold cross validation menghasilkan nilai akurasi 0,73. Pada penelitian kali ini, metode SVM dapat mengklasifikasi lagu daerah lebih baik daripada metode K-NN. 
Implementasi Metode Certainty Faktor Untuk Rekomendasi Pembelian Hp Komang Arsa Wiguna; I Gede Arta Wibawa
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.p28

Abstract

In this study, the implementation of the Certainty Factor (CF) method was carried out to provide consumers with more accurate cell phone purchase recommendations. This method combines expert knowledge and user data to produce more reliable recommendations. The implementation process involves collecting relevant HP feature data, establishing rules based on expert knowledge, calculating confidence factors (CF) based on the level of expert confidence and suitability of user data, and merging the CFs of all rules to produce a final recommendation. Through testing and evaluation, the Certainty Factor method is proven to be able to provide accurate HP purchase recommendations and assist consumers in choosing a HP that suits their preferences and needs. However, this research still requires further development to improve the accuracy of recommendations and to conduct tests with larger and more diverse datasets to ensure the effectiveness and validity of this method in the context of H purchase recommendations. 
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. 

Page 29 of 32 | Total Record : 316

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