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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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Perancangan dan Pembangunan Aplikasi E-Commerce Berbasis Mobile TechTrove Saifulloh Rahman; I Komang Ari Mogi
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.p27

Abstract

This paper presents the design and development of mobile-based e-commerce applications specifically designed for electronic devices. With the growing popularity of smartphones and growing demand for online shopping, the need for a user-friendly and efficient mobile e-commerce application has become imperative. The proposed application aims to provide a seamless shopping experience for users who wish to purchase electronic devices through their mobile devices. The design process covers multiple aspects, including user interface design, navigation flows, and integration of important ecommerce features such as product listings, filtering, and secure payment methods. The development phase involves implementing the design using the appropriate programming languages and frameworks to ensure compatibility across various mobile platforms. The app's success will be evaluated based on user feedback, performance metrics, and its ability to improve the overall shopping experience for electronics enthusiasts. By combining mobile technology and e-commerce, this research contributes to the advancement of the digital shopping landscape and offers a convenient platform for users to easily browse and buy electronic devices. 
Klasifikasi Penyakit HepatitisC Menggunakan Algoritma Support Vector Machine Ni Kadek Trisnawati; 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.p26

Abstract

Hepatitis is an inflammation of the liver which is often caused by a virus. Hepatitis that lasts less than 6 months is called "acute hepatitis", hepatitis that lasts more than 6 months is called "chronic hepatitis" Hepatitis consists of various types starting from hepatitis A, B, C, D and E. This study will discuss the classification Hepatitis C is classified as blood based (blood donor), suspected blood donor, fibrosis (moderate to severe hepatitis) and cirrhosis (chronic hepatitis). Classification uses the Support Vector Machines (SVM) algorithm with Confusional Matrix testing. The dataset used was obtained from the kaggle.com site with a total of 590 data consisting of 14 features or attributes. This study produces an accuracy of 93% 
Deteksi Penyakit Diabetes Menggunakan Gaussian Naive Bayes, Regresi Logistik, dan Random Forest Kenny Belle Lesmana; 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.p25

Abstract

Diabetes is a very common health problem in the world. The number of people with diabetes is increasing year to year. Therefore, it is necessary to realize the symptoms of diabetes as early as possible. Diabetes is a chronic disease characterized by high sugar levels in the blood. In this study, a system was made about a diabetes detection system based on numerical data using three methods. That three methods are Gaussian Naive Bayes method, Logistic Regression, and Random Forest by taking a dataset in the form of numerical data. The accuracy value on the data tested in this study using Gaussian Naive Bayes, Logistic Regression, Random Forest is 0.74; 0;78; 078. 
Klasifikasi Emosi Lirik Lagu Dengan Long Short Term Memory dan Word2Vec I Putu Diska Fortunawan; Ngurah Agus Sanjaya ER
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.p24

Abstract

This research focuses on the classification of emotions in song lyrics using LSTM (Long ShortTerm Memory) and Word2Vec embedding. Emotion classification in lyrics plays a crucial role in music recommendation systems, sentiment analysis, and understanding the affective aspects of music. The study explores the effectiveness of LSTM, a type of recurrent neural network (RNN), in capturing the sequential dependencies and patterns in lyrics, combined with Word2Vec embedding to represent the semantic meaning of words.The dataset consists of a collection of song lyrics labeled with 2 emotions. The lyrics are preprocessed and converted into word vectors using the Word2Vec model. The LSTM model is then trained on the preprocessed lyrics data, aiming to predict the corresponding emotion category for a given set of lyrics. Experimental results demonstrate that the proposed approach achieves a maximum accuracy of 72.8% in classifying emotions in song lyrics. The LSTM model leverages the sequential information in the lyrics to capture the emotional context effectively. The Word2Vec embedding enhances the representation of words, allowing the model to understand the semantic relationships between words and better discriminate between different emotional categories. 
Implementasi Random Forest Dengan LASSO Dalam Klasifikasi Penyakit Yang Ditularkan Melalui Nyamuk Kadek Dwitya Adhi Pradyto; Made Agung Raharja
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.p23

Abstract

Several diseases that can attack human health can be transmitted through disease vectors. One of the insects belonging to the disease vector is the mosquito. Diseases that can attack humans due to transmission through mosquitoes include malaria, dengue fever, chikungunya, yellow fever, rift valley fever, and many more. With so many types of diseases that are transmitted by mosquitoes and the symptoms that look quite similar, a classification process is carried out to distinguish the types of diseases. In this study, the classification was carried out using the Random Forest algorithm with the LASSO algorithm for feature selection. It was found that the average accuracy values of the Random Forest before and after carrying out feature selection using LASSO were 88% and 76%, respectively. From the values obtained, it can be concluded that the Random Forest has better performance without feature selection using the LASSO method. 
Perancangan Ontologi Semantik Representasi Digital Kain Songket Bali I Made Suma Gunawan; Luh Gede Astuti
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.p22

Abstract

Advances in information technology are currently driving an increase in the number of internet users. In the business world, technology plays an important role and can be considered as a basic necessity for today's entrepreneurs. Likewise, in the textile industry, especially Balinese songket craftsmen or entrepreneurs, it is very important to utilize digital platforms to assess the results of Balinese songket fabrics and manage various aspects properly such as quality, color and pattern, innovation, and price. Thus, this knowledge can be shared with the public, passed down from generation to generation, and promoted to both local and foreign tourists, thereby increasing industry recognition and contributing to the country's foreign exchange earnings. To achieve this, the use of ontologies as an information representation technique is highly favored. Ontologies can greatly facilitate the development of semantic applications, especially when dealing with the semantic web. The methodology used for the development of the ontology model in this study is a process that allows the reuse of existing ontologies in subsequent system development. The development of the ontology model in this study uses a software application called Protégé, which has shown promising results during the ontology evaluation stage in providing satisfactory answers to user questions. 
Analisis Penggunaan Metode MFCC Dalam Mendeteksi Emosi Pada Musik Indonesia I Komang Sutrisna Eka Wijaya; Luh Arida Ayu Rahning Putri
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.p21

Abstract

This research aims to develop a method for detecting emotions in Indonesian music using the MFCC method. The MFCC method is used to identify emotions in music by measuring acoustic features of music, such as tempo, pitch, and intensity. The study uses a dataset of 40 Indonesian music samples from various regions, which are analyzed to detect emotions. The confusion matrix is used to calculate the precision of emotion prediction. The results show that the MFCC method is effective in detecting emotions in Indonesian music. The research also highlights the importance of using a representative dataset to improve the accuracy of emotion identification in music. This study provides insights into the challenges and opportunities of using the MFCC method for emotion detection in Indonesian music. 
Analisis Sentimen Aplikasi Zenius Menggunakan Metode Logistic Regression I Made Juniandika; Ida Bagus Made Mahendra
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.p20

Abstract

E-Learning application is one of the media used to conduct adaptive learning. One of the elearning applications that is widely used is Zenius. To know the success of an application, sentiment analysis technique is needed. In this research, the data used to perform sentiment analysis is Zenius application user review data taken from Google Play Store with a total of 19892 review data with a score of 1,2,3, and 5. The data is classified using the logistic regression method with two classes of labels, namely positive and negative. The accuracy result obtained using this method is 90% with the classification results of positive labeled data as much as 51.17% and negative labeled data as much as 48.83%. 
Analisis Data Berbentuk Teks dalam Sistem Diagnosis Penyakit dengan Supervised Learning I Gusti Ngurah Bagus Ferry Mahayudha; Ida Bagus Gede Dwidasmara
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.p19

Abstract

In computer science, text refers to a sequence of characters that can be represented and processed by a computer. It is the basic unit of data for representing human-readable information, such as letters, numbers, symbols, and spaces. In computer programming, text is typically represented as a string of characters. Textual data can be stored in variables, manipulated using various string operations, and displayed to users through input/output operations.Text plays a crucial role in many areas of computer science, including natural language processing, information retrieval, data mining, and text-based communication systems like email, chat applications, and social media. It serves as a fundamental component for storing, analyzing, and processing vast amounts of textual information in various applications. 
Pemodelan Ontologi Semantik Padmasana Umat Hindu Bali I Gede Ngurah Arya Wira Putra; Ida Bagus Gede Dwidasmara
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.p18

Abstract

Padmasana and Pelinggih are sacred structures that hold significant importance in the religious and cultural practices of the Balinese Hindu community. Padmasana refers to the elevated throne or shrine dedicated to the highest deity in Hinduism, while Pelinggih represents small sanctuaries or shrines found in various locations. Padmasana, often located in the innermost sanctum of temples or in open spaces, symbolizes the presence of the Supreme God in Hindu belief. It is characterized by an elevated platform adorned with intricate carvings and decorations, usually in the form of a lotus or a throne-like structure. Padmasana serves as a focal point for prayers, offerings, and rituals, where devotees seek spiritual connection and guidance from the divine. Through the ontological modeling of Padmasana and Pelinggih, this research contributes to the preservation and dissemination of the cultural heritage of the Balinese Hindu community. The ontological model serves as a knowledge repository, capturing the intricate details and interrelationships of these sacred structures, fostering a deeper understanding of their spiritual significance. Ultimately, this research promotes cross-cultural understanding and encourages the preservation and appreciation of Balinese Hindu traditions. 

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