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All Journal Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Buana Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Ketut Gede Suhartana
Program Studi Teknik Informatika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Udayana
Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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Penerapan Steganografi dan Visible Watermarking Pada Gambar Digital Untuk Perlindungan Hak Cipta Chelsy Elisabet Gultom; I Ketut Gede Suhartana
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 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/JLK.2023.v12.i02.p16

Abstract

As technology develops, almost all information and data is stored in digital form. But as we know, digital storage is more vulnerable to theft where this thing is often happen to data that people shared on the internet, include digital image. From the problem above, we do the research where we build a windows-based program using steganography with least significant bit method and visible watermarking that implement encryption hidden message and visible watermarking to the digital image we want to. This program also can decode the hidden message from the digital image that contain the message. The research prove that using the combination of steganography and visible watermarking can help the owner of the digital image to claim the copyright of their digital image. This happened because they can encrypt the proof of the ownership in the image by visible dan invisible way.
Perancangan Sistem Informasi Pemasok Barang Rongsokan Dengan Pendekatan User Centered Design Tri Adi Ningsih; I Made Widiartha; I Ketut Gede Suhartana; I Gusti Ngurah Anom Cahyadi Putra
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 4 (2024): JELIKU Volume 12 No 4, May 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/JLK.2024.v12.i04.p12

Abstract

Information systems play a crucial role in facilitating business processes, including in the scrap recycling industry. In this context, this research aims to develop an information system that enables efficient management of the procurement process of scrap materials from suppliers. The User Centered Design (UCD) method is adopted to ensure that the developed system truly meets the needs and preferences of users. The system implementation is carried out using web-based technologies with PHP and MySQL as the database backend. End users, including scrap material suppliers, can access the system through a responsive web interface. System evaluation is conducted using the Single Ease Question (SEQ) and System Usability Scale (SUS) methods to measure user responses and system usability. The development results show that the scrap material supplier information system has been successfully developed. Users responded positively to the user-friendly interface and provided functionality. The testing involved 10 respondents, yielding a SEQ score calculation of 88%, indicating success. Additionally, SUS testing resulted in a high satisfaction level of 87.25% among users regarding system usability. Thus, this research contributes to the development of information systems that integrate UCD principles to support efficiency and effectiveness in managing scrap material suppliers in the recycling industry.
Efektifitas Algoritma K-NN dan Random Forest Dalam Mengenali Gender Berdasarkan Suara Pratama, Berlin; Suhartana, I Ketut 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

Human beings have the ability to recognize one's gender through hearing and vision. In computer science this is called sound analysis, but often human sounds differ from the original after processing by computer. In this case, we try to differentiate human voices by gender using the K-Nearest Neighbor and Random Forest algorithms. The K-Nearest Neighbor algorithm has an accuracy of 76%, while Random Forest has an accuracy of 97%.
Augmented Reality Sebagai Sarana Pengenalan Mahasiswa Informatika Udayana Jaya, I Gede Wilantara; Suhartana, I Ketut 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

ID cards are very important to have as identification of the owner. At Udayana University, every student has a KTM (Kartu Tanda Mahasiswa). KTM is just an identity that is general in nature and incomplete. Here the author wants to apply technology that combines virtual objects in a real 3-dimensional environment, namely Augmented Reality technology as a medium for introducing students to the Udayana Informatics Study Program. The use of Augmented Reality technology can be used to provide information in 3-dimensional form so that it becomes more interesting through smartphones. Through the creation of Augmented Reality applications for the introduction of Udayana informatics students, it is hoped that it will be able to provide a better, complete and interactive means of introduction in providing student identity information.
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
Implementasi SHA-256 dalam Program Verifikasi Originalitas Video Sebelum dan Sesudah Proses Kriptografi Wijaya, Daniel Surya; Suhartana, I Ketut Gede
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.p10

Abstract

This research aims to develop a computer program utilizing the SHA-256 algorithm to compare the authenticity between the original video and the video that has undergone cryptographic processes, particularly during the decryption phase. The program is designed to provide additional verification regarding the success of the decryption process in restoring the video to its original condition. The program development is conducted using the Python programming language. The SHA-256 algorithm is employed to generate hash values for both the original video and the decrypted video. The resulting hash values of the two videos are then compared to evaluate their similarity. The developed program successfully compares the authenticity between the original video and the decrypted video. Through the analysis of hash values using SHA-256, the program concludes whether the decryption process successfully restores the video to its original state or not. Keywords: SHA-256, Cryptography,Video,Hash,Python
Sistem Rekomendasi Anime dengan Metode Content Based Filtering Putra, I Dewa Agung Cahya; Suhartana, I Ketut 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

Anime is a term for animated films or cartoons produced by the Japanese state. Currently the number of anime in circulation is very large, so anime lovers sometimes struggle to find an anime that suits their tastes. One of the reasons is the limited description and review translated from Japanese into other languages. Making an anime recommendation system with a content based filtering approach that utilizes TF-IDF and cosine similarity. The “genre” feature is used as a recommendation system parameter that will be processed by TF-IDF and cosine similarity. The training data uses data downloaded from Kaggle. Modeling begins by calculating the weight of the genre feature values ??using TF-IDF and looking for similarity values ??using cosine similarity. After that, the process carried out is sorting the similarity values ??on the recommendation system that will display the results of anime recommendations. There is an evaluation of the model, which results in a precision value of 88.1%
Sistem Pendukung Keputusan Menentukan Karyawan Kontrak Menjadi Karyawan Tetap dengan Algoritma Regresi Linier Berganda Astrawan, Anak Agung Made Krisna; Suhartana, I Ketut Gede
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

This study aims to aid in decision-making for determining the employment status of contract employees versus permanent employees using the Multiple Linear Regression algorithm. The analysis shows that the independent variables, including Work Experience (X1), Education Length (X2), and Attendance (X3), strongly influence the dependent variable of Employee Status (Y). With a coefficient of determination of 0.734, the model explains 73.4% of the variation in Employee Status based on these variables. The integrated decision support system facilitates decision-making by providing recommendations based on user inputs. Application testing confirms the system's effectiveness in assisting decisions regarding the eligibility of contract employees for permanent employment. Overall, this research contributes to informed and accurate decision-making in employee status determination. Keywords: Decision Support System, Multiple Linear Regression
Klasifikasi Tingkat Produktivitas Pegawai Garmen Menggunakan Algoritma Naive Bayes Wulandari, Desak Putu Sri; Suhartana, I Ketut 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

Productivity level of garment employee classification aims to facilitate for companies to give appreciation to employees. In doing classification can use the Naïve Bayes Algorithm, which uses probability and statistical methods to predict opportunities base on experience. The classification of garment employees is categorized into three, namely low, medium, and high. The results of the classification of 1197 data employees, obtained 981 employees have high productivity, 190 employees with moderate productivity, 26 employees with low productivity. Evaluation on the classification obtained an accuracy value of 82.07% with a Root Mean Square Error (RMSE) value of 0,015731 which indicates that the classification carried out has a good classification model.
Sistem Monitoring Kamar Tidur Pintar dan Suhu Berbasis IoT dengan Cisco Packet Tracer Wirasih, Ni Made Ayu; Suhartana, I Ketut Gede
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.p14

Abstract

This research endeavors to develop an Internet of Things (IoT)-based smart bedroom monitoring system, leveraging Cisco Packet Tracer technology as a robust simulation platform. The system facilitates automatic monitoring and management of indoor environment parameters such as temperature, security, and lighting settings, aiming to enhance occupants' comfort and safety. Key components of the system include a temperature sensor, microcontroller, and an LCD information screen, enabling real-time display of bedroom temperature data. System validation was conducted via simulations using Cisco Packet Tracer, consistently demonstrating the system's efficacy in automating room temperature monitoring and management. These findings lay a solid groundwork for advancing IoT technology, emphasizing deeper integration, addressing challenges, proposing solutions, and exploring potential applications across diverse contexts. Keywords: Smart Bedroom, Internet of Things, Cisco Packet Tracer, Temperature Monitoring, Automatic System
Co-Authors -, Daniel Surya Wijaya Adhana, Finandito Adi Guna, I Made Dirga Anak Agung Istri Ngurah Eka Karyawati Anggrek, Denise Valeria Ari Mogi, I Komang Artawan, Komang Nova Astrawan, Anak Agung Made Krisna Bagaskara, Aditya Caesar Brahmantha, Gede Putra Aditya Cahyani, Ni Komang Santi Canistya Chandra, Putu Isthu Chelsy Elisabet Gultom Cokorda Pramartha Dewi, Ni Kadek Yulia Diani, I Dewa Ayu Giri, Gst Ayu Vida Mastrika Giri, Gst. Ayu Vida Mastrika Gst. Ayu Vida Mastrika Giri Gultom, Chelsy Elisabet Guna Wicaksana, I Gusti Ngurah Gusto Gibeon Ginting Harta, I Gede Bendesa Aria I Dewa Ayu Diani I Dewa Made Bayu Atmaja Darmawan I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu I Gede Arta Wibawa I Gede Bagus Anom Adiputra I Gede Erwin Winata Pratama I Gede Surya Rahayuda I Gede Teguh Satya Dharma I Gede Tendi Ariyanto I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Kadek Bagus Deva Diga Dana I Made Dirga Adi Guna I Made Widhi Wirawan I Made Widiartha I Nyoman Budhiarta Suputra I Putu Ananta Wijaya I Putu Gede Hendra Suputra I Putu Gede Mahardika Adi Putra I Wayan Pande Putra Yudha I WAYAN SANTIYASA I Wayan Supriana Ida Ayu Gde Suwiprabayanti Putra Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Ida Putu Ari Jayadinanta Indra Permana Putra Jaya, I Gede Wilantara Kartika Maharani, Ida Ayu Bintang Kewa Nilan, Yasinta Anita Khaerul Anwar Khatami, Maula Krishella Naomi D’laila Rumy Lesmana, Kenny Belle Lidya Elisabet Theogracia Silitonga Luh Arida Ayu Rahning Putri Luh Gede Astuti Maha, Ni Made Krisna Maharani Putri Suari Mahardika Adi Putra, I Putu Gede Masduki, Aan Ngurah Agus Sanjaya ER Ni Luh Eka Suryaningsih Nuboba, Barneci Henderika Nurbidin, krisphino Saputra Partamayasa, I Wayan Gede Pawitradi, Gede Pramathana, Raindra Pratama, Berlin Putra, I Dewa Agung Cahya Putra, I Kadek Bagus Deva Diga Dana Putra, I Putu Denny Indra Raharja, Made Agung Rianty, Winda Setiawan, Vinna Soeparman, William Suardana, Komang Yudi Adnyana Suwiprabyanti Putra, Ida Ayu Gde Tri Adi Ningsih Veithzal Rivai Zainal Vidiadivani, Wahyu Wahyu Vidiadivani Wahyuni, Era Wijaya, Daniel Surya Wijaya, I Made Agus Rama Winata, Mas Adi Wirasih, Ni Made Ayu Wulandari, Desak Putu Sri Yasinta Anita Kewa Nilan Yoel Samosir Yudha, I Wayan Pande Putra