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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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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
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Analisis Sentimen dengan Logistic Regression untuk Deteksi Kata pada Livin’ by Mandiri Nirmala, Ni Made Gita Satviki; Sanjaya ER, Ngurah Agus
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 4 (2024): JNATIA Vol. 2, No. 4, Agustus 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.i04.p25

Abstract

Livin by Mandiri is one of the most frequently used mobile banking. To find out the quality of the application, you can carry out sentiment analysis from reviews. The data taken from the Google Play Store was 6334 data from January 2022 to December 2022. The training data and test data used had a ratio of 80:20. This data goes through preprocessing and then TF-IDF weighting is carried out. After that, the analysis used logistic regression which produced 91.5% with C = 0.75. As well as getting negative sentiment results, namely precision 89%, recall 95%, f1-score 92%. Meanwhile, positive sentiment produces 94% precision, 88% recall, 91% f1-score. There is a word detection program that can help search for keywords including positive sentiment or negative sentiment from the Livin by Mandiri application. Keywords: Livin by Mandiri, Logistic Regression, Mobile Banking, Sentiment Analysis, TF-IDF, Word Detection
Identifikasi Citra Daun Tanaman Herbal menggunakan Convolutional Neural Network Setyawan, Marselinus Putu Harry; 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

Indonesia is one of the countries with the highest number of herbal plant species in the world. However, it is not linear with people's knowledge about herbal plants and their health benefits. Leaves are one of the characteristics of plants that can be used to identify plant species because each plant has leaves and is easier to distinguish than tree bark. This research uses the Local Binary Pattern (LBP) method to obtain the texture features of leaf herbal plants, and the Convolutional Neural Network (CNN) to perform the classification. The highest accuracy was obtained with an epoch value of 25 and a batch size of 32. This combination resulted in a model with an accuracy of 95%, and when tested with validation data it produced an accuracy of 84%. Overall, the model that was built was able to identify the types of herbal plants very well.
Klasifikasi Jenis Obat Berdasarkan Gejala yang Dimiliki Pasien Menggunakan Metode K-Nearest Neighbors (KNN) Ananta Wijaya, Ngakan Putu Bagus; Putra, Ida Ayu Gde Suwiprabayanti
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.p21

Abstract

This research applies the K-Nearest Neighbors (KNN) algorithm to classify medicine types based on patient symptoms using a dataset from Kaggle with 200 rows and 6 columns. After preprocessing steps such as handling missing values, encoding categorical variables, and splitting data into training and testing sets, exploratory data analysis (EDA) was performed to understand the dataset's structure. The KNN model was evaluated with k values of 1, 2, and 3, finding the optimal k to be 3, achieving an accuracy of 77.50% with average precision of 0.76, recall of 0.69, and f1-score of 0.66. Lower accuracy was observed for k=2 (65.00%) and k=1 (67.50%), indicating that k=3 is the most effective for this dataset. These results suggest that while KNN is a viable method for classifying medicine types based on symptoms, larger datasets are recommended for improved accuracy. Keywords: K-Nearest Neighbors (KNN), classify, medicine, exploratory data analysis (EDA), preprocessing
Usability Testing Pada Prototype Antarmuka Aplikasi E-commerce Ez Buy Berbasis Mobile Krisnayana, Nyoman; Astuti, Luh Gede
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

One of the reasons for developing digital-based application designs is to solve certain problems experienced by users. In its development, several stages and processes are needed that directly involve potential users. Involvement aims to determine the needs and expectations of users in solving a problem. One method to determine the level of user needs is the usability testing method. Usability testing involves testers and participants. The examiner will ask participants to perform a number of tasks. As participants perform a number of tasks, the examiner will observe behavior and listen to feedback during the test. In this case, usability testing is carried out on the design of a mobile-based e-commerce application called Ez Buy. The purpose of usability testing on the Ez Buy application prototype is to find out the extent of user experience and user expectations of the application prototype design. This study aims to determine the participant's behavior towards a feature in the application prototype.
Rancangan Sistem Rekomendasi “WeShare!” Berdasarkan Kelayakan User Interface Wati, Zulfazazalia Putri Candra; Supriana, I Wayan
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

"WeShare!" is a web-based app created to solve the growing problem of clothing and food waste. This website provides users with recommendations about food sharing and preloved clothing. Before being implemented for the public, this system was made into a prototype and evaluated for its feasibility, especially in terms of the user interface. One of the methods used for evaluating the feasibility is the System Usability Scale (SUS) method. In this study, the SUS value of this system design reached 70.42553191. From this value, it can be said that the website prototype is in the Good or "B" grade so that it can be continued and developed to the next stage to be better.
Memanfaatkan NodeMCU dalam Serangan Jaringan Wi-Fi pada Frekuensi 2,4 GHz: Tinjauan Keamanan dan Tindakan Pencegahan Wahyu, Gus Guswahyu; Kadyanan, Agung I Gusti Agung Gede Arya Kadyanan
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.p12

Abstract

NodeMCU, an open-source development platform based on the ESP8266, has become a significant tool in network security testing. This article investigates the use of NodeMCU in attacks against Wi-Fi networks on the 2.4 GHz frequency. We conducted experiments to launch NodeMCU's capabilities to exploit security weaknesses in Wi-Fi networks, including attacks against WEP, WPA, and WPA2 encryption. We also present preventive measures that can be implemented to protect Wi-Fi networks from attacks possible using NodeMCU. Keywords: NodeMCU, ESP8266, Wi-Fi network, security attack, encryption, WEP, WPA, WPA2
Pengembangan Prototipe Aplikasi Chatbot Pengenalan Makanan Nusantara Sebagai Asisten Traveller Indonesia Adu, Enga Prinda; Pramartha, Cokorda Rai Adi; Sanjaya ER, Ngurah 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

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Abstract

Indonesia merupakan negara dengan kepulauan terbesar didunia. Hal ini membuat Indonesia kaya akan budaya dan bahasa. Salah satu ciri khas yang mengindentikkan setiap daerah yang terdapat diIndonesia adalah makanan khas daerah. Makanan khas daerah ini, sangat berkaitan erat dengan suatu daerah yang di wariskan dari generasi ke generasi sebagai tradisi dan sudah menjadi bagian dari budaya masyarakat setempat. Namun, seiring berjalannya waktu makanan khas darerah atau makanan nusantara ini semakin tidak populer dan kalah oleh pengaruh makanan luar yang berasal dari negara lain. Kurangnya pengenalan dan apresiasi terhadap tradisi kebudayaan makanan nusantara dan kurangnya media yang memperkenalkan makanan nusantara ini yang menjadi faktor utama. Oleh karena itu, dalam memperluas pengenalan dan memperkaya wawasan akan makanan nusantara kepada masyarakat Indonesia maka dibuatlah sebuah (aplikasi makanan nusantara) untuk dapat memudahkan masyarakat Indonesia dalam mengetahui makanan khas setiap daerah dan tetap dilestarikan. Penelitian ini menghasilkan aplikasi makanan nusantara berbasis web. Aplikasi yang dihasilkan dapat membantu para traveller maupun warga lokal untuk mengetahui setiap makanan khas daerah yang dikunjungi berdasarkan nama, lokasi terdekat dan menampilkan informasi mengenai makanan khas daerah apa yang di inginkan.
Case-Based Reasoning untuk Diagnosis Penyakit Campak Menggunakan Metode Bayesian Model Surya Gemilang, I Wayan Adhi; Supriana, I Wayan
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 4 (2024): JNATIA Vol. 2, No. 4, Agustus 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.i04.p16

Abstract

In the medical world, measles is an infectious disease that has long been known and is still a global health problem. Measles is divided into two main types, rubeola measles and rubella measles.This study is conducted to build a diagnose system for measles disease with Case-Based Reasoning (CBR). Case-based reasoning (CBR) is a method in artificial intelligence that solves problems by analyzing solutions from similar cases that have occurred before. CBR can eliminate the need to extract models or sets of rules. Knowledge acquisition in CBR is based on a collection of experiences or previous cases. The Bayesian model is used as indexing to find the type of measles CBR in this study. The test was carried out by using 35 cases that were stored in case base and 20 case bases serve as a new case. Keywords: Case Based Reasoning, Campak, Bayesian Model
Case Based Reasoning Untuk Diagnosa Kecanduan Terhadap Game Berbasis Web Jhordi, Rafif; Dwidasmara, Ida Bagus Gede; Supriana, I Wayan
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

Online games in Indonesia have been loved by small children to adults in Indonesia. The Organization (WHO) defines game addiction or game disorder in the latest version of the International Statistical Classification of Diseases (ICD) as a mental disorder condition. Case Based Reasoning (CBR) has been a successful technique for knowledge-based systems in many domains. Case-based Reasoning (CBR) collects previous cases that are almost the same as the new problem and tries to modify the solution to fit the new case. The implementation of this expert system is so that online game users can find out early whether online game users have entered the addict category or not, so addicts are expected to reduce the use of online games.
Rancangan Sistem Cari dan Temu Barang Hilang di Universitas Udayana Berbasis Web Salsabila, Zerina Nur; Putra, I Gusti Ngurah Anom Cahyadi
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 2 No 4 (2024): JNATIA Vol. 2, No. 4, Agustus 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.i04.p09

Abstract

Losing items is an event that has been experienced by all of us. At Udayana University itself, loss of goods is still a common problem that is often faced by students, lecturers, and staff. This of course can result in material loss and inconvenience for the owner of the goods. Currently at Udayana University to disseminate information on the announcement of lost items is still by means of social media only. To overcome this problem, a web-based lost and found system was designed called "Lost Goods Search and Find System at Udayana University". This system allows users to report lost items and share information on found items. Udayana's Lost and Found System is expected to help increase the chances of finding lost items and reduce material losses for the owner of the goods. This system can also help improve security and comfort at Udayana University. Keywords: Lost Items, Search and Find System, Website

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