Jurnal Nasional Teknologi Informasi dan Aplikasinya
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).
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339 Documents
<![CDATA[Implementasi Algoritma KNN Untuk Memprediksi Performa Siswa Sekolah ]]>
<![CDATA[I Made Ryan Prana Dhita]]>;
<![CDATA[Gst. Ayu Vida Mastrika Giri]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2023.v01.i03.p06
<![CDATA[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. ]]>
<![CDATA[Perancangan Antar Muka Wearable Sistem Bagi Atlet ]]>
<![CDATA[Ni Wayan Sani Utari Dewi]]>;
<![CDATA[Cokorda Pramartha]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2023.v01.i03.p05
<![CDATA[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. ]]>
<![CDATA[Isolation Forest dengan Exploratory Data Analysis pada Anomaly Detection untuk Data Transaksi ]]>
<![CDATA[I Made Sudarsana Taksa Wibawa]]>;
<![CDATA[Anak Agung Istri Ngurah Eka Karyawati]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2023.v01.i03.p04
<![CDATA[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. ]]>
<![CDATA[Prediksi Paket Return Menggunakan Metode Decision Tree Menerapkan Algoritma C4.5 Berbasis Website ]]>
<![CDATA[Oskar Maha Kasi]]>;
<![CDATA[Agus Muliantara]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2023.v01.i03.p03
<![CDATA[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. ]]>
<![CDATA[Perancangan User Interface dan User Experience pada Aplikasi Pencari Indekos ]]>
<![CDATA[Gusto Gibeon Ginting]]>;
<![CDATA[I Gusti Ngurah Anom Cahyadi Putra]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2023.v01.i03.p02
<![CDATA[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. ]]>
<![CDATA[Rancang Model Ontologi untuk Representasi Pengetahuan Tari Tradisional Indonesia ]]>
<![CDATA[Sang Putu Febri Wira Pratama]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2023.v01.i03.p01
<![CDATA[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. ]]>
<![CDATA[Simulasi Integrasi Leach dan Enkripsi untuk Efisiensi Jaringan Sensor Nirkabel ]]>
<![CDATA[Gede Dimas Putra Pratama]]>;
<![CDATA[I Gede Arta Wibawa]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2026.v04.i03.p02
<![CDATA[The development of Wireless Sensor Network (WSN) has a significant impact on various fields such as smart agriculture, environmental monitoring, and IoT-based security systems. The main drawbacks of WSN are the limited energy, computing capacity, and transmission power of sensor nodes. The Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is widely used for energy management by forming clusters and reducing long-distance transmission. However, LEACH does not yet have a built-in security mechanism, making it vulnerable to threats such as eavesdropping and data manipulation. This study proposes the integration of the lightweight encryption algorithm XOR Cipher into the LEACH protocol to improve data security without reducing energy efficiency. Software-based simulations using Python were conducted to compare the performance of standard LEACH and encrypted LEACH. The parameters tested include energy consumption, packet delivery ratio (PDR), delay, and packet loss. The results show that the integration of XOR Cipher adds very little overhead, with slightly increased energy consumption and delay, but the PDR remains above 90%. This proves that XOR Cipher is a lightweight encryption solution that is feasible to be applied to WSN.]]>
<![CDATA[Evaluasi KNN, SVM, dan Random Forest untuk Klasifikasi Leukemia Berdasarkan Citra Sel Darah ]]>
<![CDATA[Angelica Audeska Sali]]>;
<![CDATA[I Ketut Gede Suhartana]]>;
<![CDATA[I Komang Arya Ganda Wiguna]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2026.v04.i03.p01
<![CDATA[Leukemia is a type of cancer that affects the blood-forming system and requires early detection to improve patient outcomes. One of the primary indicators of leukemia is the presence of blast cells in blood smears. Manual detection by hematologists is time-consuming and requires specialized expertise, prompting the need for automated classification methods. This study evaluates and compares the performance of three machine learning algorithms like K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Random Forest for detecting leukemia blast cells from microscopic blood images. The dataset used consists of 15,000 labeled images classified as either normal or blast cells. Feature extraction involved RGB and HSV color histograms, along with texture features derived from the Gray-Level Co-occurrence Matrix (GLCM). Model performance was assessed using confusion matrices and evaluated through accuracy, precision, recall, and F1-score. Among the models tested, Random Forest achieved the highest accuracy at 86.31%, followed by SVM at 83.61% and KNN at 81.40%. These results indicate that Random Forest is the most effective model for automated detection of leukemia blast cells in this context ]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan SSD Laptop Berbasis AHP dan TOPSIS ]]>
<![CDATA[I Gede Parama Sathiyam Yuda Yana]]>;
<![CDATA[I Gede Arta Wibawa]]>;
<![CDATA[Putu Praba Santika]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2026.v04.i03.p03
<![CDATA[A decision support system (DSS) is needed to help lay users choose a solid state drive (SSD) that suits their needs and is compatible with their laptops. This study designs and builds a web-based DSS using the Analytical Hierarchy Process (AHP) method for criteria weighting and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for ranking SSD alternatives. Laptop and SSD data are used to perform matching based on interface compatibility and form factor. The main criteria used include price, capacity, read/write speed, and performance category. This system also provides a criteria comparison feature based on user preferences and presents the best SSD recommendations based on the final TOPSIS score. The test results show that the AHP + TOPSIS method is able to provide more rational and transparent recommendations compared to the manual weighting method.]]>
<![CDATA[Analisis Perbandingan Algoritma SHA-256 dan Keccak-256 dalam Smart Contract EVM ]]>
<![CDATA[Ida Bagus Rizky Brahmantya]]>;
<![CDATA[Gst. Ayu Vida Mastrika Giri]]>
<![CDATA[ Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026 ]]>
Publisher : <![CDATA[Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JNATIA.2026.v04.i03.p04
<![CDATA[The advancement of blockchain technology has increased the demand for efficient and secure hash algorithms, particularly in the development of smart contracts. This study uses smart contracts on the Ethereum network with inputs of 32, 128, and 1024 characters to evaluate SHA-256 and Keccak-256 based on execution cost, gas fees, and security. According to the results, Keccak-256 is more effective for smart contract computations because it consistently has lower execution costs for all input sizes. Both algorithms perform similarly for big inputs (1024 characters), suggesting comparable storage efficiency at scale, even if its gas charge is marginally greater than SHA-256 for tiny inputs (32 and 128 characters). Keccak-256 and SHA-256 both have strong defenses against brute-force assaults. Both provide similar security, while Keccak-256 takes a little longer to calculate. All things considered, Keccak-256 offers better efficiency, which qualifies it for widespread smart contract implementation. Further research is recommended to explore performance in more complex blockchain environments and execution gas and to optimize gas for practical implementation.]]>
