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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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Implementasi Algoritma KNN Untuk Memprediksi Performa Siswa Sekolah I Made Ryan Prana Dhita; Gst. Ayu Vida Mastrika Giri
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.p06

Abstract

One of the factors that influences students graduation rates is their performance in learning. Predicting graduation rates based on student performance has the benefit of analyzing academically underperforming students and providing support to students who face difficulties in the learning process. There are several factors to consider in predicting students' graduation rates, such as academic grades, attitudes, and social factors. However, these factors alone are not sufficient to effectively predict students' performance, and educators also struggle to identify which factors affect students' performance.To predict the performance of school students, the KNearest Neighbor (KNN) method is utilized. The K-Nearest Neighbor method is often used in classifying students' performance due to its simplicity and ability to produce significant and competitive results. In this research, the prediction of students' graduation rates is carried out using the KNN method.The results of implementing the prediction of students' performance using the KNN method can serve as a reference for students to improve their achievements and assist educators in considering future teaching materials. 
Perancangan Antar Muka Wearable Sistem Bagi Atlet Ni Wayan Sani Utari Dewi; Cokorda Pramartha
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.p05

Abstract

Technological developments have had a huge impact on various areas of life, including the world of sports. Today, athletes are leveraging various technologies to improve their performance and gain a better competitive advantage. Athletes must comply with the rules of the game and comply with the rules and regulations that apply to their game. hours of sleep is one of the most important factors in maintaining the stamina of athletes, according to the coach's directions. This study aims to make it easier for coaches to monitor the sleep hours of athletes being mentored. In order to improve the athlete's heart rate monitoring, an application was formed in the form of a prototype. The method used in this study is the mid-fidelity prototype which is the development of a prototype design model. Mid-fidelity prototype is a method for initial design, for purposes after detailed design and usability validation. 
Isolation Forest dengan Exploratory Data Analysis pada Anomaly Detection untuk Data Transaksi I Made Sudarsana Taksa Wibawa; Anak Agung Istri Ngurah Eka Karyawati
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.p04

Abstract

Managing value of data is one of the key aspects of presenting analysis for decision making support in various cases. One of such method is by managing detecting anomaly in the data. This research focuses on implementing Isolation Forest result of anomaly detection. This method is used on transaction dataset from Kaggle with about more than 500.000 records. The result this research shows that Isolation Forest used in the dataset have 0.899 in accuracy, 0.00649 in precision, 0.504 in recall, and 0.013 in F1 score. 
Prediksi Paket Return Menggunakan Metode Decision Tree Menerapkan Algoritma C4.5 Berbasis Website Oskar Maha Kasi; Agus Muliantara
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.p03

Abstract

The development of e-commerce technology has provided significant benefits in facilitating online transactions. However, one of the problems that is often faced by e-commerce companies is the management of return packages, where customers return goods that have been purchased. In order to optimize the package return management process, an effective prediction method is needed to estimate the possibility of returning packages by customers. With a website-based package return prediction system, e-commerce companies can take appropriate actions to manage return packages more efficiently. For example, they can adjust their inventory strategy, improve product quality, or provide special promotional offers to customers who have a high probability of returning packages. This can help increase customer satisfaction, reduce the cost of managing return packages, and increase the overall operational efficiency of the company. 
Perancangan User Interface dan User Experience pada Aplikasi Pencari Indekos Gusto Gibeon Ginting; I Gusti Ngurah Anom Cahyadi Putra
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.p02

Abstract

This study aims to design a website-based user interface and user experience. Where it is, proportional to the increase in the number of purchases of existing motorcycles. The website that has been made was tested on the General Public with a total of 20 respondents. To find out the level of satisfaction of respondents in using the motorcycle recommendation website, usability testing was carried out using the system usability scale method. This method measures the usability of a computer system according to the user's subjective point of view by filling out a Likert-scale questionnaire. The website that has been made is tested on the General Public. To find out the level of satisfaction of respondents in using the motorcycle recommendation website, usability testing was carried out using the system usability scale method. This method measures the usability of a computer system according to the user's subjective point of view by filling out a Likert-scale questionnaire. 
Rancang Model Ontologi untuk Representasi Pengetahuan Tari Tradisional Indonesia Sang Putu Febri Wira Pratama
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.p01

Abstract

Indonesia is the largest archipelagic country in the world with more than 17,000 islands inhabited by approximately 255 million people, a figure that makes Indonesia the fourth most populous country in the world. This implies that there is a lot of cultural diversity in Indonesia, one of which is traditional dance. Traditional dances in various regions in Indonesia are certainly different and have their own characteristics, so they need to be well documented. The ontology knowledge base is an appropriate method used to represent information. In this project, the ontology model was built using the Protégé ontology development tool. We use the method of methontology in the development of the ontology model where this method describes each step-in detail. The ontology model built has 11 classes, 5 object properties, 8 data properties, and 72 individuals. We focus on describing the types of traditional dances from various regions in Indonesia. The testing process in the development of the ontology model by performing SPARQL queries. 

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