cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
I Gede Surya Rahayuda
Contact Email
igedesuryarahayuda@unud.ac.id
Phone
+6289672169911
Journal Mail Official
igedesuryarahayuda@unud.ac.id
Editorial Address
Sekretariat JNATIA Gedung FMIPA Lantai 1, Program Studi Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana
Location
Kota denpasar,
Bali
INDONESIA
Jurnal Nasional Teknologi Informasi dan Aplikasinya
Published by Universitas Udayana
ISSN : 29863929     EISSN : 30321948     DOI : -
Core Subject : Science,
Computer Science & IT
JNATIA (Jurnal Nasional Teknologi Informasi dan Aplikasinya) merupakan jurnal yang berfokus pada teori, praktik dan metodologi seluruh aspek teknologi di bidang ilmu dan teknik komputer serta ide-ide produktif dan inovatif terkait teknologi baru dan sistem informasi. Jurnal ini memuat makalah penelitian asli yang belum pernah dipublikasikan dan telah melalui jurnal double-blind review. JNATIA (Jurnal Teknologi Informasi dan Penerapannya) diterbitkan empat kali setahun (Februari, Mei, Agustus, November).
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 255 Documents
 15   16   17   18   19 
Rancang Model Ontologi untuk Representasi Pengetahuan Senjata Tradisional di Indonesia Ary Mahayasa, I Gusti Agung Gede; Karyawati, Anak Agung Istri Ngurah Eka
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

Indonesia is known for its rich diversity, encompassing ethnicity, religion, culture, customs, and traditional artifacts, including traditional weapons. Traditional weapons hold significant historical and cultural value in Indonesia. To preserve and represent knowledge about these traditional weapons, an ontology model is essential. Ontology serves as a knowledge base that can effectively capture and represent information. In this project, we developed an ontology model for traditional weapons in Indonesia using the Protégé ontology development tool. The METHONTOLOGY method guided the step-by-step development of the ontology model, providing detailed descriptions for each stage. The ontology model consists of 6 classes, 4 object properties, 1 data property, and 72 individuals. We conducted testing of the ontology model through SPARQL queries. By building this ontology model, our aim is to contribute to the preservation and documentation of Indonesia's cultural heritage related to traditional weapons. The ontology serves as a valuable resource for researchers, enthusiasts, and institutions interested in studying and promoting traditional weapons in Indonesia. Keywords: Traditional Waepons, Ontologi, Methontologi, Query SPARQL, Protégé
Sistem Pakar Diagnosa Penyakit Mata Pada Manusia Era Digital Berbasis Website Prasetiyo, Bayu; Muliantara, Agus
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

Eyes are a very important sense in human life to see. If the eye has an eye disorder or disease, it will be very fatal for human life. The development of technology in the digital era is very rapid so it cannot be denied, technology is one thing that is very closely related to humans today. The impact of technology on health, especially gadgets, can damage eye health. The screen of the gadget emits a light called high energy visible which is harmful to the eyes. because the eyes are too focused on the screen so that it causes an uncomfortable feeling. many people ignore the health conditions experienced and delays in handling due to lack of public knowledge of the types of eye diseases. then an expert system application program is made that can diagnose eye diseases in humans. This expert system application program was created to assist in finding conclusions about the eye disease suffered. The development of this application program uses the forward chaining inference method. This application program uses PHP programming, for the database using mySql, with this application you can find out the results of diagnosing eye diseases quickly and efficiently through the website.
Pengembangan Aplikasi Serah Terima Dokumen Order dengan Metode User Centered Design Pamuji, Gede Maharta; Mogi, I Komang Ari
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 process of handing over the order contract document is a process that is usually carried out between the seller and the expedition as a contract in the delivery of goods. PT Enseval Putera Megatrading Tbk Denpasar is one of the companies that carried out this handover process. However, in the process, difficulties are often encountered, so a web-based order handover application was built to smooth out the process of handing over order contract documents. This study discusses how to develop an application that involves the user directly. The method used in this research is User Centered Design (UCD), where the application development process always involves the users, starting from planning to testing, where the usability aspect of the application will be tested.
Perancangan Ontologi Semantik: Representasi Digital Kain Songket Bali Gunawan, I Made Suma; Astuti, Luh Gede
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 4 (2023): JNATIA Vol. 1, No. 4, Agustus 2023
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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

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. Keywords: Ontologi, Kain Songket Bali, SPARQL, Web Semantik, Methontology
Klasifikasi Bentuk Wajah Manusia Menggunakan Metode Convolutional Neural Network (CNN) Premananda, I Wayan Widya; Wibawa, I Gede Arta
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

Humans have different faces for each person. Differences in the face such as the shape of the eyes, nose, mouth, eyebrows or face shape. Utilization of technology that can be used as information in the manufacture of facial recognition technology. One of the objects needed in face recognition is face shape. However, there has not been much research on the shape of the human face so that it needs to be done so that it can be used in other fields. The research conducted is by doing classification. There are many classification methods, one of which is Convolutional Neural Network (CNN). CNN is a type of deep learning designed to process two-dimensional data with high network depth. Inspired by the human artificial neural network. In general, it consists of a Convolutional Layer, Pooling Layer and Full Connected Layer. In this study, it is used to classify the shape of the human face into two classes, such as square and round. The total amount of data is 400 data, 80% training data and 20% validation data. The results of this study are getting training accuracy of 0.8188 and validation accuracy of 0.8125. Meanwhile, for 20 test data, the accuracy is 0.75.
Perancangan Ontologi Semantik: Representasi Digital Oleh - Oleh Khas Bali Wiradhanta, Ngakan Made Alit; Mahendra, Ida Bagus Made
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

Bali Island, also known as the Island of the Gods, is a popular tourist destination for those who want to enjoy its breathtaking natural beauty. However, many tourists face difficulties in finding authentic Balinese souvenirs to bring back home. To address this issue, a system is needed to assist tourists in easily and quickly finding information about unique Balinese souvenirs using ontology, a semantic web knowledge base. The semantic web is a website development approach aimed at automation and understanding the meaning and relationships of data, resulting in a web experience tailored to visitors' preferences. This research aims to develop an ontology model to be used in the domain of Balinese souvenirs. The ontology design is developed using the Protégé application, where the ontology model is structured with hierarchical classes, slots, properties, and other elements. It is expected that this ontology model will provide information related to semantic web-based application metadata pertaining to Balinese souvenirs. Keywords: Ontology, By -Oleh Khas Bali, Semantic Web
Application of Convolution Neural Networks Method to Identify Fatigue Faces Mbaba, Paulus; Eka Karyawati, Anak Agung Istri Ngurah
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

Jalan tol adalah jalan umum yang penggunaannya dikenakan tarif. Kecelakaan di jalan tol sebagian besar disebabkan oleh pengemudi yang lelah atau mengantuk saat mengemudi. Kelelahan atau kantuk biasanya sering terjadi karena perjalanan jauh, kurang istirahat, dan masih banyak lagi penyebab kelelahan atau kantuk lainnya. Oleh karena itu diperlukan suatu solusi yaitu dengan membuat terobosan yang bertajuk “ (Deteksi Kelelahan atau Wajah Mengantuk)”. merupakan sebuah teknologi berbasis aplikasi website yang dapat mendeteksi atau memindai wajah pengemudi yang lelah atau mengantuk menggunakan Convolutional Neural Network (CNN). ) algoritme, 50 epoch, dan metrik akurasi 97%.
Analisis Sentimen dan Pemodelan Topik Ulasan Aplikasi Noice Menggunakan XGBoost dan LDA Ikegami, Alim; Darmawan, I Dewa Made Bayu Atmaja
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

In recent years, audio content has seen a rise in consumption. The COVID-19 pandemic also contributes to the rise in consumption. In the survey that was conducted in 2021, more than 40% of people in France, Germany, and Spain have been listening to more audio content since the first restriction on COVID-19 came into place [1]. One of the rising startups in Indonesia that offers audio content with their original and exclusive content is Noice. To maintain their quality of service, it’s important to look into the reviews that were written for their application. To analyze the reviews, sentiment analysis and topic modeling can be used to extract the sentiment polarity and the topics that are discussed on each sentiment polarity [3]. In this study, XGBoost and Latent Dirichlet Allocation are used to analyze the reviews that were written in Google Play Store. The result of the sentiment analysis yielded accuracy, precision, recall, and F1-score of 87,5%, 84,8%, 79,4%, and 81,6%. While the topic modeling managed to extract 16 and 6 topics respectively for positive and negative reviews.
Implementasi Metode Design Thinking dalam Perancangan UI/UX Aplikasi Wisata Bali Widnyana, I Kadek Agus Candra; Widiartha, I Made
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.p17

Abstract

Many tourists find it difficult to efficiently plan or find tourist destinations in Bali. They need a convenient way to search for attractions or plan their trips. A system is needed to facilitate the search and planning of their tourist trips, which can be supported by utilizing technology such as smartphones and mobile applications, making UI/UX crucial to help users solve their problems. This design is carried out using Figma tools and the design thinking method, which consists of five stages: empathize, define, ideate, prototype, and test. This research aims to analyze and implement the Design Thinking method in designing the user interface (UI/UX) of a tourist application focusing on tourist destinations in Bali. Keywords: Design Thinking, Pariwisata, Prototype, User Interface, User Experience
Deteksi Pneumonia Dengan Ekstraksi Fitur Gray-Level Co-occurrence Matrix (GLCM) Dan Support Vector Machine (SVM) Arianata Putra, I Gusti Bagus Sutha; Mastrika Giri, Gst. Ayu Vida
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.p08

Abstract

Pneumonia, a prevalent lung disease globally, poses significant challenges in accurate diagnosis despite its severity. This paper proposes a novel approach leveraging Support Vector Machine (SVM) classification and Gray-Level Co-occurrence Matrix (GLCM) analysis on chest X-ray images to aid in pneumonia diagnosis. By extracting pneumonia-indicative features from digital X-ray images using Gray-Level Co-occurrence Matrix (GLCM) and employing Support Vector Machine (SVM) for classification, the study aims to enhance pneumonia diagnosis effectiveness, particularly crucial in regions with limited healthcare resources. The proposed method focuses on identifying characteristic patterns indicative of pneumonia in chest X-ray images and distinguishing between normal and pneumonia-affected images based on GLCM-extracted features. Furthermore, the study evaluates the impact of hyperparameter tuning using grid search on the proposed diagnostic system's performance, including accuracy, sensitivity, and specificity. By achieving these objectives, the research aims to contribute significantly to the development of more accurate and effective diagnostic tools for pneumonia, especially in resource-constrained areas. Keywords: Gray-Level Co-occurrence Matrix (GLCM), Machine Learning, Pneumonia, Support Vector Machine, X-Ray

Page 17 of 26 | Total Record : 255

 15   16   17   18   19 

Filter by Year

2022 2024


Reset
Filter By Issues
All Issue Vol 2 No 4 (2024): JNATIA Vol. 2, No. 4, Agustus 2024 Vol 2 No 3 (2024): JNATIA Vol. 2, No. 3, Mei 2024 Vol 2 No 2 (2024): JNATIA Vol. 2, No. 2, Februari 2024 Vol 2 No 1 (2023): JNATIA Vol. 2, No. 1, November 2023 Vol 1 No 4 (2023): JNATIA Vol. 1, No. 4, Agustus 2023 Vol 1 No 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023 Vol 1 No 2 (2023): JNATIA Vol. 1, No. 2, Februari 2023 Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022