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All Journal Jurnal Matematika Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Informatika (JUPITA) Prosiding Seminar Nasional Universitas Ma Chung Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Gede Santi Astawa
Program Studi Teknik Informatika, Jurusan Ilmu Komputer. Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Udayana
Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Other

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Pengujian Penerimaan Pengguna pada Website “Wariga” Menggunakan Metode Technology Acceptance Model (TAM) I Ngurah Komang Agus Suryadiyatmika. S; I Gede Santi Astawa; I Gede Sri Agus Putrawan
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 3 (2025): JNATIA Vol. 3, No. 3, Mei 2025
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.2025.v03.i03.p06

Abstract

The "Wariga" website is an information system to determine a person's harmony condition based on the wariga framework, namely wewaran and wuku. This website has only been developed since this research was conducted. To support the development carried out towards the next stage, certain measurements can be carried out such as acceptance testing. One measure of acceptance of an information system is to use the TAM (Technology Acceptance Model) method. This research aims to assess "Wariga" using the TAM method, with the aim of obtaining information on the level of perception of each website acceptance variable. The method used in this research is a quantitative method, with the help of a questionnaire as a data collection medium. It was found that 94 respondents provided questionnaire answers for each statement submitted. The results of this research obtained a positive influence from the three TAM variables used, such as perceived comfort of 89.87%, perceived usefulness of 87.96%, and perceived acceptance of 87.83%. This shows that the “Wariga” website can be upgraded to the next stage of development. 
Implementasi Algoritma Yolo untuk Deteksi Tanaman Apotik Hidup I Kadek Peri Arta Wijaya; I Gede Santi Astawa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 2 (2025): JNATIA Vol. 3, No. 2, Februari 2025
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.2025.v03.i02.p11

Abstract

Living apothecary is a plant that is used to provide natural treatment or medicine. Therefore, to distinguish these plants, we carry out detection to distinguish live pharmaceutical plants. In this research we used (You Only Look Once) YOLOv8, Google Colab, Roboflow. Where we get the database from Google then we process the image using Roboflow then we create (You Only Look Once) YOLOv8, and we test it on Google Colab. The results of this research confirm that the YOLOv8 (You Only Look Once) algorithm in identifying and modeling 13 plant objects with a total of 1204 images obtained a precision percentage value of 59%, recall of 58%, and a MAP value of 60%, so the average value the accuracy is above 59%. In addition, it provides important contributions in the field of image recognition and visual data processing obtained through the application of the YOLOv8 algorithm to the problem of identifying objects in images. 
Analisis Sentimen Ulasan Traveloka Menggunakan Metode Naïve Bayes Classifier dan Information Gain Kadek Yuni Suratri; I Gede Santi Astawa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 1 (2024): JNATIA Vol. 3, No. 1, November 2024
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.2024.v03.i01.p08

Abstract

In the increasingly rapid digital era, Traveloka is present as an online travel agency that makes it easier for users to order and plan trips. Reviews left by users can reflect the user's experience in using the platform. Indirectly, reviews can also reflect user satisfaction. Therefore, it is important to carry out sentiment analysis of existing reviews so that you can improve service quality. This research examines the performance of the Information Gain feature selection in classifying the sentiment of Traveloka application reviews using the Naïve Bayes method. The research results show that classification using the Naïve Bayes model obtained an accuracy of 83%, precision of 81%, and recall of 98%. Meanwhile, classification with feature selection obtained an accuracy of 79%, precision of 76%, and recall of 100%. This shows that the feature selection performance has not been able to increase the accuracy value. 
Analisis Emosi Anjing Melalui Klasifikasi Citra untuk Deteksi Ekspresi Wajah Hewan Peliharaan I Gede Surya Adi Pradana; I Gede Santi Astawa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 4 (2024): JNATIA Vol. 2, No. 4, Agustus 2024
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.2024.v02.i04.p06

Abstract

 Emotion Detection in Dogs through Image Classification for Pet Facial Expression Analysis utilizes convolutional neural networks (CNNs) to discern and quantify dogs' emotional states based on their facial expressions. This approach leverages advanced image processing techniques to recognize subtle cues indicative of various emotions like happiness, fear, or sadness in dogs. By applying CNNs to analyze image data, pet owners can gain valuable insights into their dogs' emotional well-being and address their needs accordingly. This technology offers a promising avenue for enhancing the bond between pets and owners by facilitating more informed and empathetic care tailored to each dog's emotional state and personality. 
Pengklasifikasian Kualitas Pisang dengan Deep Learning CNN Arsitektur VGG16 Vodka Joe Junior; I Gede Santi Astawa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 3 (2024): JNATIA Vol. 2, No. 3, Mei 2024
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.2024.v02.i03.p10

Abstract

Bananas are one of the most popular fruits consumed worldwide, valued for their nutritional benefits and versatility in various dishes. However, ensuring banana quality, including ripeness and integrity, remains crucial in meeting consumer expectations and maintaining supply chain standards. Manual classification of banana quality can be tedious, prompting the need for efficient methods. In this study, we explore the classification of banana quality using Convolutional Neural Network (CNN) with VGG16 architecture and image augmentation. Leveraging previous research and considering the superior performance of VGG16, we gathered data from Kaggle and evaluated our model's accuracy. The implementation yielded promising results, achieving a peak accuracy of 97.50% with 15 epochs and an 80%-20% training-validation data split. This surpasses previous methods, indicating the effectiveness of CNN with VGG16 in banana quality classification. 
Perancangan Sistem Penyisipan Pesan pada Gambar dengan Metode Least Significant Bit (LSB) Berbasis Website I Wayan Dimas Wirahadi Saputra; I Gede Santi Astawa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 2 (2024): JNATIA Vol. 2, No. 2, Februari 2024
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.2024.v02.i02.p08

Abstract

The advancement of digital communication and the need for secure information exchange have led to the development of various techniques for data hiding and steganography. One of the widely used methods is the Least Significant Bit (LSB) technique, which allows the embedding of secret messages within digital images without perceptible visual changes. In this paper, we present the design and implementation of a message embedding system based on LSB method, integrated into a web-based platform. The proposed system provides a user-friendly interface for selecting an image and entering a secret message to be embedded. Utilizing HTML5 canvas and JavaScript, the system processes the selected image, extracts the LSB of each pixel, and replaces it with the corresponding bits of the secret message. The resulting image with the hidden message is then displayed to the user. Furthermore, the system offers the capability to extract the hidden message from an image previously processed by the system. The web-based nature of the system allows for easy accessibility and usage across different devices without the need for additional software installations. It provides a practical and interactive environment for users to experiment with message embedding techniques, thereby fostering understanding and awareness of data security issues. The experimental results demonstrate the effectiveness and efficiency of the system in embedding and extracting messages from various images while maintaining satisfactory visual quality. The system's user-friendly interface, combined with its robust functionality, makes it a valuable tool for users interested in secure communication and digital steganography. 
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% 
Ekstraksi Fitur MFCC pada Lagu Gundhul Pacul Roger Julian Sitorus; 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.p07

Abstract

MFCC is an effective method in audio feature extraction, including in song and music analysis. This method involves converting the frequency spectrum of the audio signal into the Mel scale, which is more in line with human auditory perception, and then calculating the cepstral coefficient. The results of the MFCC feature extraction on the song "Gundhul Pacul" show the pattern of the song's spectral and rhythmic characteristics. By using the MFCC representation, it is possible to see changes in energy and frequency patterns in audio signals at various time intervals. The results of the MFCC show that there are 13 resulting cepstral coefficients. However, the number of cepstral coefficients can be adjusted depending on the application and specific needs. 
Pengujian Fungsionalitas Sistem Pengamanan Digital Watermarking Kartu Indonesia Sehat Menggunakan Algoritma MSB Ni Putu Intan Cahyani; I Gede Santi Astawa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 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.i03.p08

Abstract

The rapid development of technology makes the dissemination of information also develop, and the use of digital data is increasingly used even in the health sector, one of which is when registering at health institutions online so that when registering it is necessary to scan the Healthy Indonesia Card to register. Sometimes there are onkuns who are not responsible for misusing it to do evil things, so based on these problems, the Healthy Indonesia Card (KIS) that will be used should be inserted with a watermark to minimize unwanted events. Watermark is a method of inserting information into digital data that aims to protect data ownership. One technique that can be used is the steganography technique, which uses the MSB (Most Significant Bit) algorithm. The length of time it takes to insert a watermark on a Healthy Indonesia Card (KIS) depends on how much text will be inserted to become a watermark. 
Co-Authors Adi Pradana, I Gede Surya Agus Juniartha, I Wayan Agus Prayogo Anak Agung Istri Ngurah Eka Karyawati Anak Agung Istri Ngurah Eka Karyawati Apsari, Made Sri Ayu Cahyani, Ni Putu Intan Christirahma, Ratri Desy Cokorda Rai Adi Pramartha Dewa Agung Ayu Mutiara Dewi Dewi, Dewa Agung Ayu Mutiara Dharma, Nyoman Hendradinata G.K. GANDHIADI Gede Gery Sastrawan Gede Maharta Pamuji Gorianto, Frisca Olivia Gotra, Anak Agung Ngurah Mahadana Apta Gst. Ayu Vida Mastrika Giri I Dewa Made Bayu Atmaja Darmawan I Gede Arta Wibawa I Gede Sri Agus Putrawan I Gede Surya Adi Pradana I Gusti Agung Gede Ary Mahayasa I Gusti Agung Gede Arya Kadyanan I Gusti Ayu Purnami Pinatih I Gusti Ngurah Anom Cahyadi Putra I Gusti Ngurah Bagus Pramana Putra I Kadek Gowinda I Kadek Gowinda I Kadek Peri Arta Wijaya I Komang Ari Mogi I Komang Ari Mogi I Komang Galih Agustan I Made Teja Sarmandana I Made Widiartha I Made Widiartha I Made Widiartha I Ngurah Komang Agus Suryadiyatmika. S I Nyoman Dwi Pradnyana Putra I Nyoman Restu Muliarta I Nyoman Suryadana I Putu Ananta Wijaya I Putu Gede Hendra Suputra I Putu Indie Surya Jayadi I Putu Rama Anadya I Putu Ryan Paramaditya I Putu Sedana Wijaya I Wayan Agus Juniartha I Wayan Dimas Wirahadi I Wayan Dimas Wirahadi Saputra I WAYAN SANTIYASA I Wayan Supriana Ida Ayu Taria Putri Mahadewi Ida Bagus Gede Bayu Priyanta Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Jonas Kuntoro Junior, Vodka Joe Kadek Vincky Sedana Kadek Yuni Suratri Kompiang Gede Sukadharma Luh Arida Ayu Rahning Putri LUH PUTU IDA HARINI Made Darma Yunantara Marselinus Putu Harry Setyawan Ngurah Agus Sanjaya ER Ni Kadek Trisnawati Ni Made Novia Nurtiani Ni Made Rai Nirmala Santhi Ni Putu Intan Cahyani Ni Wayan Yulia Damayanti Ningsih, Gusti Agung Diah Sri Ari Nurtiani, Ni Made Novia Nyoman Hendradinata Dharma Pasha Renaisan Pradyto, Kadek Dwitya Adhi Prashanti, Ni Putu Vidya Vira Prawira, Agus Prebiana, Kiki Dwi Putra, Putu Pasek Wahyu Chandra Putri Cahyaning Putu Ayu Wulan Satya Dewi Putu Bayu Baskara Raharja, Made Agung Rasita Natasya Br Sitepu Renaisan, Pasha Restu Muliarta, I Nyoman Roger Julian Sitorus Saputra, I Wayan Wirahadi Sitorus, Roger Julian Suwitra, I Made Pradnyanandana Suwitra Theresia Seftiani Girsang Trisnawati, Ni Kadek Valerie Laurent Vodka Joe Junior Wijana, Sawendo Eko Wijaya, I Putu Ananta Yowe, Samson Cornelius Gele