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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,
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
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Penerapan Long Short Term Memory dalam Mengklasifikasi Jenis Ujaran Kebencian pada Tweet Bahasa Indonesia Wati, Ni Putu Sintia; Adi Pramartha, Cokorda Rai
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

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Abstract

Tweets are messages posted to Twitter and contain photos, videos, links, and text. Twitter is a social media service that allows everyone to communicate and stay connected through the rapid and frequent exchange of messages. However, as many communities have sprung up, the user is getting more and more out of control while communicating on Twitter. One of them, more and more hate speech is being hurled either through retweets, or replies to each other in one of the threads belonging to a particular community. To minimise this impact, a classification is needed to find out whether the tweet contains hate speech or not before being uploaded to Twitter. Due to the rapid increase in the current data, it is necessary to review it with other methods to classify the data more deeply. Based on these problems, the method that can be used is Long Short Term Memory (LSTM). This study succeeded in providing predictions with different hyperparameter accuracy values for the LSTM application reaching 74%.
Deteksi Penyakit Diabetes Menggunakan Gaussian Naive Bayes, Regresi Logistik, dan Random Forest Lesmana, Kenny Belle; Suhartana, I Ketut 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

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Abstract

Diabetes is a very common health problem in the world. The number of people with diabetes is increasing from 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. Keywords: Gaussian Naive Bayes, Regresi Logistik, Random Forest
Penerapan Metode Analytical Hierarchy Process (AHP) Dalam Pemilihan Smartphone Satria Wiguna, I Made Eko; Widiartha, I Made
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

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Abstract

Smartphone has become a part of our daily live nowadays. Today, smartphones brand is competitive each other with their innovation on smartphone. There are much different prices from cheaper to expensive. There are also have different specifications with different purposes. This can be confusing if we want to buy a smartphone. They created a product with different specifications and price. Analytical Hierarchy Process (AHP) can solve this problem by using to make recommendations or decision. AHP is a part of decision support system methods (SPK). AHP using weight to make calculation in decision prosses making. This make AHP method result logically and realistic. AHP method breakdown the problem by making hierarchy, therefore the problem become structured and systematized. This paper, using five aspects as criteria. There are RAM, camera features, screen size, battery, and price. This are commonly used to considering before choosing a smartphone. This paper will use AHP method to make recommendations for smartphone based on priority of criteria. Keywords: AHP, Decision Support System, Decision, Recommendation, Hierarchy
Application Programming Interface (API) dengan Representational State Transfer (REST) untuk Ontologi Semantik Tembang Bali Suryana, Kadek Andre; Raharja, Made Agung; Pramartha, Cokorda
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

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Abstract

Technological developments and the era of globalization greatly affect the development of cultural heritage. One of the local cultural heritages in Bali is the Balinese song. Balinese songs are commonly used in traditional ceremonies or sung by children. In this study, the author uses semantic ontology technology to store knowledge in the form of a knowledge graph which will then be accessed through a query process to the Apache Jena Fuseki with a SPARQL query. This research succeeded in developing microservices in the form of a REST API to help receive and send requests properly. The REST API that has been created has successfully passed the test scenarios that have been carried out in this research.
Perancangan Alat Pemberian Pakan Ikan Otomatis Pada Aquarium Berbasis Mikrokontroller AT89S52 Wijaya, I Gusti Ngurah Bagus Agung Brian; Putra, Ida Ayu Gde Suwiprabayanti
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

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Abstract

Faktor yang penting dalam pemelihara ikan pada aquarium adalah ketepatan waktu dalam pemberian makan ikan. Kebanyakan dari mereka yang mempunyai hobi memelihara ikan khawatir pemberian makan yang harus dilakukan tiap hari. Berdasarkan hal tersebut pada proyek akhir ini dirancang dan dibuat alat pemberian pakan ikan otomatis berbasis mikrokontroler AT89S52. Maka dirancanglah alat yang mempermudah memberi makan ikan yaitu secara otomatis sesuai dengan jadwal yang telah ditentukan. Adapun komponen pendukung penjadwalan pakan ikan diantaranya pembuatan rangkaian minimum sistem AT89S52 sebagai otak dari alat ini yang nantinya akan diisikan program dengan menggunakan bahasa assembler, RTC (Real Time Clock) sebagai pengatur waktu, motor DC untuk memutar pembuka katup valve tempat pakan ikan. Keywords: Pakan, Ikan, Microcontroller AT89S52
Penerapan Algoritma K-Nearest Neighbor dalam Klasifikasi Penyakit Gagal Jantung Setiawati, Ni Ketut Intan; 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

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Abstract

Heart failure is a clinical syndrome caused by an abnormality in the structure of the heart's function that causes the heart to be unable to pump adequate amounts of blood so that the body does not receive enough nutrients for metabolic needs. The high prevalence of heart failure needs serious attention so that it can be treated early and reduce the risk of complications. Along with the development of technology, various classification methods have been used by other researchers to determine whether a person has heart failure or not. In this study, the classification of heart failure will use the K-Nearest Neighbor algorithm. K-Nearest Neighbor (KNN) is a classification algorithm based on the proximity of data to other data. The results of this study are the best accuracy values obtained with k = 7, where after going through an evaluation with the confusion matrix, the accuracy of the classification of heart failure with KNN is 91%.
Analisa UI dalam Perancangan Aplikasi Ekspor Hasil Laut “FishGo!” dengan Metode SUS Nanda, Ketut Agus Cahyadi; Suputra, I Putu Gede Hendra
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

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Abstract

This research discusses the development of the Fish Go! application, which aims to facilitate fishermen in finding market opportunities, particularly within the business sector. The author identifies several challenges faced by fishermen in terms of marketing and selling their catch. Additionally, there are opportunities to meet the demand for marine products in the tourism sector in Indonesia. The Fish Go! The application seeks to integrate fishermen and the business sector into a single digital platform, with the goal of expanding the fishermen's market reach and providing convenience for buyers in obtaining fresh and high-quality seafood. This research involves a literature study to gain a deeper understanding of application interface analysis and usability in general. The User Journey Map method is used to identify the problems faced by potential users of the Fish Go! application. The usability testing phase was conducted using the System Usability Scale (SUS) method, involving the distribution of questionnaires to 20 respondents. The quantitative data obtained from the SUS scores indicate that the Fish Go! the application has a good level of usability and is suitable for further development, with an average SUS score of 84, exceeding the average threshold for usability testing. The results of this research show that the Fish Go! this application has the potential to support partnerships between fishermen and the business sector in utilizing marine resources in Indonesia. By leveraging technology and digital platforms, it is expected to improve efficiency and provide broader market opportunities for fishermen, while also meeting the demand of the business sector for fresh and high-quality seafood. Keywords: Fishermen, Market, Usability, Partnerships, Challenges
Rancangan Sistem Pendukung Keputusan “TechTrack” Berdasarkan Evaluasi Kualitas UI UX Aplikasi Siaka, Made Bayu Maha Krisna; Wibawa, I Gede Arta
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 1 (2023): JNATIA Vol. 2, No. 1, November 2023
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

Smartphone is a portable electronic communication device that enables individuals to engage in various activities, including work, communication, and entertainment. It serves as a versatile tool that can be easily carried and utilized in different locations, providing convenience and facilitating human interactions across multiple domains."TechTrack," is a decision support system for selecting smartphones based on user interface and user experience feasibility. The ever-growing variety and complexity of smartphone models available in the market make it challenging for consumers to make well-informed purchasing decisions.The TechTrack app provides personalized recommendations by considering user preferences, specifications, and reviews. The system underwent usability testing, with the resulting System Usability Scale (SUS) value. The app aims to simplify the decision-making in selecting smartphones by offering comprehensive information, comparison features, user reviews, and a rating system. TechTrack shows potential in enhancing the user experience and helping users in making informed purchasing decisions. Keywords: Smartphone , decision support system, System Usability Scale, user interface, user experience
Website Rekomendasi Anime Dengan Menggunakan Pendekatan Content-Based Filtering Berdasarkan Sinopsis Suhendra, Arfal Razya; Putra, ST., M.Cs, I Gusti Ngurah Anom Cahyadi
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

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Abstract

Today there are various kinds of Anime titles that can be found to be able to provide appropriate recommendations to Anime fans. A recommendation system is designed that can provide recommendations for Anime titles based on the similarity of the synopsis that has been read by users. The design of this Recommendation System uses a Content Based Filtering approach using the TFIDF method to obtain features that represent each synopsis which then produces a TFIDF matrix. The TFIDF matrix is then used as input to calculate the degree of similarity between synopsis. The results of the calculation of the degree of similarity become the basis for the formation of a function that can provide recommendations for Anime titles to users.
Perancangan Prototype Aplikasi Deteksi dan Pelacakan Manusia pada Video Affila Pradika, Valentin Gea; Kadyanan, I Gusti Agung Gede Arya
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

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Abstract

The detection and tracking of humans in videos have gained significant attention due to their applications in various fields such as surveillance, activity recognition, and human-computer interaction. This article presents the design and development of a prototype application for human detection and tracking in videos. The use of the prototype methodology allows for early feedback, demonstrates the functionality and features, facilitates effective collaboration, and helps save time and costs in the development process. By following this methodology, the prototype application for human detection and tracking in videos is expected to provide accurate and reliable results, meeting the needs of users in various domains. Keywords: Prototype, Human, Detection, Tracking

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