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All Journal Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana JUTIK : Jurnal Teknologi Informasi dan Komputer Specta Journal of Technology Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Made Widiartha
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Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Implementasi Algoritma Modified K-Nearest Neighbor untuk Klasifikasi Indeks Kualitas Udara Perkotaan di Berbagai Negara Ni Made Ayu Pranasanthi Dewi; I Made Widiartha
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.p19

Abstract

One important component for the sustainability of living organisms is the availability of clean air. Air pollution has detrimental repercussions such as deteriorating air quality, which can have harmful impacts on the environment. As a result, modeling and monitoring air quality are essential steps in reducing air pollution, and the Air Quality Index allows for the review of this monitoring. This study's objective is to apply the Modified K-Nearest Neighbor method in classifying urban Air Quality Index data from various countries. The "World Air Quality Index by City and Coordinates" Kaggle website provided the data that were used. The data were then processed and tested using the Modified K-Nearest Neighbor model, this builds on the K-Nearest Neighbor technique. 16,695 data in total were divided into 80% training data (13,356 data) and 20% testing data (3,339 data) in order to conduct testing. Evaluation was performed by comparing the performance of the Modified K-Nearest Neighbor method with the traditional K-Nearest Neighbor method. The Modified K-Nearest Neighbor approach with K=1 produced an accuracy rate of 99.73% during testing, whereas the K-Nearest Neighbor method produced an accuracy rate of 99.64%. Using the K-Fold Cross Validation, K-Nearest Neighbor method perfrom highest mean score of 99,04% and Modified K-Nearest Neighbor perform highest mean score of 99,46%. 
Klasifikasi Genre Musik Menggunakan Metode Support Vector Machine Dengan Multi-Kernel I Gusti Agung Istri Agrivina Shyta Devi; I Made Widiartha
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.p15

Abstract

Music is a universal art that reflects cultural diversity and individual preferences through various genres. This research explores music genre classification using Support Vector Machine (SVM) with multi-kernel methods. The SVM algorithm, known for its effectiveness in handling complex datasets, is employed to classify music genres based on audio features. The research utilizes the GTZAN dataset, comprising 10 music genres, and extracts audio features from WAV files. After normalization and data splitting, SVM models are trained and evaluated. Results indicate a significant accuracy improvement after hyperparameter tuning, with the best models achieving accuracies of 88.92% for the polynomial kernel and 89.32% for the RBF kernel. 
Implementasi Metode Analytical Hierarchy Process dalam Sistem Pendukung Keputusan Penerimaan Karyawan Baru Ida Bagus Putu Ryan; I Made Widiartha
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.p13

Abstract

Decision support system as problem solving for accepting job applicants with objective assessment. This system has the function of getting the best way or solution in providing decisions that require complex calculations, with the best way being provided by mathematical algorithms combined with computing. In this case, the recommendation system will be able to help find a list of permanent employees from a collection of data in the database easily and efficiently. The application of this decision support system cannot be separated from a method that supports it, as applied in this research, namely the Analytical Hierarchy Process (AHP) to run an appropriate algorithm with weighting for many criterias at the system. Using this method to develop a recommendation system will be in accordance with the aim of creating a system for determining decisions for prospective employees in a business element. 
Implementasi Metode Design Thinking Dalam Perancangan UIUX Aplikasi Wisata Bali I Kadek Agus Candra Widnyana; I Made Widiartha
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.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. 
Algoritma K-Means untuk Clustering Provinsi di Indonesia Berdasarkan Kasus Stunting Syelvia Julianti; I Made Widiartha
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.p16

Abstract

Stunting is a nutritional issue that poses a global challenge, especially in developing countries like Indonesia. According to UNICEF, Indonesia ranks among the top five countries with the highest stunting prevalence. To address this issue, clustering provinces in Indonesia each year can help ensure equitable food distribution and other resources. This can be done using the KMeans clustering algorithm, with the optimal number of clusters determined by the elbow method and evaluated using the silhouette coefficient and Davies-Bouldin index. The optimal number of clusters was found to be 3, with a silhouette coefficient of 0.50 and a Davies-Bouldin index of 0.70. In 2020, there were 15 provinces in cluster 1, 6 provinces in cluster 2, and 17 provinces in cluster 3. In 2021, 15 provinces were in cluster 1, 17 in cluster 2, and 6 in cluster 3. In 2022, there were 17 provinces in cluster 1, 14 in cluster 2, and 7 in cluster 3. In 2023, 5 provinces were in cluster 1, 14 in cluster 2, and 19 in cluster 3. By 2024, there were 18 provinces in cluster 1, 17 in cluster 2, and 3 in cluster 3. 
Penerapan Ontologi dalam Representasi Pengetahuan Gangguan Kesehatan Mental Hana Christine Octavia; I Made Widiartha
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.p11

Abstract

Information about mental health disorders is widely available, but there is still a need for a system that can accommodate existing knowledge and assist experts in explaining this knowledge. Building an ontology using the methontology methodology involves 10 stages that must be followed to construct the ontology. The outcome of this research is expected to provide a clear and systematic representation of knowledge about mental health disorders based on the constructed ontology. This representation will aid in understanding, early diagnosis, and management of mental health disorders. The Protégé software is used for constructing this knowledge domain. 
Perbandingan Algoritma Forward Chaining dalam Sistem Pakar Rekomendasi Peminatan Bidang Teknologi Putu Agus Dharma Kusuma; I Made Widiartha
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.p13

Abstract

This research aims to compare the forward chaining algorithm with the Backward Chaining, Breadth-First Search (BFS), and Depth-First Search (DFS) algorithms in the context of an expert system for recommending specialization in the field of technology. The primary focus of this study is to analyze the runtime performance of each algorithm and determine the algorithm that provides the fastest runtime. The research methodology involves implementing the four algorithms in an expert system that provides recommendations for technology field specialization based on rules and user responses. The data used in the study consists of specialization rules in the technology field and user responses related to their interests in those fields. The results of the study demonstrate that the forward chaining algorithm outperforms the Backward Chaining, BFS, and DFS algorithms in terms of runtime performance. This indicates that the forward chaining algorithm is more efficient in generating technology field specialization recommendations. Based on the findings of this research, it is recommended to use the forward chaining algorithm in the development of expert systems for technology field specialization. This algorithm can assist users in obtaining recommendations quickly and efficiently, thereby enhancing user experience and the effectiveness of the expert system in providing suitable technology field specializations based on user interests. 
Perbandingan Berbagai Metode Segmentasi dan Mechine Learning pada Makanan Tradisional Sumatera Utara Anugrah Ignatius Sitinjak; I Made Widiartha
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.p12

Abstract

This study investigates the categorization of traditional North Sumatran dishes using various segmentation methods. The goal is to participate and participate in the preservation of North Sumatran culture. The study covers 34 types of traditional North Sumatran dishes originating from various regions. Food images are processed using segmentation techniques such as Sobel, Prewitt, Robert, Scharr, and Canny filters. The data set is then used in traditional machine learning algorithms, including Random Fortst, Decision Tree, and four SVM algorithms, for classification purposes. Among the algorithms with the highest performance, the Random Forest algorithm with Robert's segmentation method achieves outstanding results on dataset testing, with 85.52% accuracy, 84.63% recall, 83.77% precision, and 82.49% f1 score. The execution time for most of the best performing algorithms is around 1 minute on average. In addition, the Random Forest algorithm with the Canny operator achieves 81.51% accuracy, 84.97% recall, 86.81% precision, and 85.61% f1 score on dataset testing. The Random Forest algorithm with the Sobel operator obtains an accuracy of 78.41%, a recall of 65.28%, a precision of 62.33%, and an f1 score of 63.71%. Among the four SVM algorithms, the Sigmoid SVM with the Scharr operator achieves the highest performance in its category across all classification metrics. The importance of insight into the traditional cuisine of North Sumatra is invaluable. Emphasizing the importance of this research in promoting the preservation and introduction of traditional North Sumatran food. 
Sistem Penjualan Merchandise Berbasis Aplikasi Mobile I Dewa Gede Partha Wijaya; I Made Widiartha
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.p26

Abstract

The rapid growth of mobile technology has revolutionized various industries, including merchandise sales. This paper presents a study on the development of a mobile applicationbased merchandise sales system aimed at replacing manual recording reports by merchandisers and expanding the range of reportable data. By harnessing the capabilities of mobile devices, the research focuses on analyzing merchandisers' requirements and designing user-friendly interfaces. Through thorough testing and evaluation, the system showcases its reliability and functionality. This study contributes to the existing body of knowledge by offering valuable insights into the advantages and challenges of adopting mobile technology in merchandise sales. 
Pengenkripsian dan Dekripsi Gambar Menggunakan Algoritma AES dengan MAC untuk Peningkatan Keamanan Ni Wayan Amanda Putri Astawa; I Made Widiartha
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.p13

Abstract

With the increasing importance of data security in digital image transmission and storage, this research presents an implementation of an image encryption and decryption program using the Advanced Encryption Standard (AES) algorithm combined with Message Authentication Code (MAC) for enhanced security. The program utilizes AES in Cipher Block Chaining (CBC) mode to ensure confidentiality and integrity of the image data. The unique key and initialization vector (IV) enhance the security of the encryption process. Additionally, the inclusion of MAC ensures data integrity and prevents unauthorized modifications during transmission or storage. The program offers a user-friendly web-based interface for easy usability. The implemented solution provides a high level of security for image data and can be applied in various applications requiring secure image transmission and storage. The effectiveness and reliability of the program are demonstrated through experimental results and evaluation. 
Co-Authors Agastia Maulana Akbar Agus Muliantara Agus Zainal Arifin Alvin Wiraprathama Anugrah Ignatius Sitinjak Bhisma Satwika Ari Priandana Cokorda Rai Adi Pramartha Darlis Herumurti Fitrah Maharani Humaira Gde Krishna Sankya Yogeswara Hana Christine Octavia Hanggara Diatha, Putu Hangralim, Ryan I Dewa Gede Partha Wijaya I Dewa Made Bayu Atmaja Darmawan I Gede Aditya Mahardika Pratama I Gede Arta Wibawa I Gede Artha Wibawa I Gede Rizki Heriana Prayoga I Gede Santi Astawa I Gusti Agung Istri Agrivina Shyta Devi I Gusti Ngurah Anom Cahyadi Putra I Gusti Ngurah Bagus Arimbawa I Gusti Ngurah Bagus Lanang Purbhawa I Kadek Agus Candra Widnyana I Ketut Gede Suhartana I Komang Ari Mogi I Made Kunta Wicaksana I Made Tangkas Wahyu Kencana Yuda I Made Teja Sarmandana I Nyoman Arista Wisnawa I Putu Gede Hendra Suputra I WAYAN SANTIYASA I Wayan Supriana Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Ida Bagus Putu Ryan Luh Arida Ayu Rahning Putri Luh Gede Astuti Made Arief Budi Dharma Mahandiri, Dewa Nyoman Agung Adipurwa Michael Tanaya Muhammad Arrysatrya Yusuf Putranda Muhammad Caesar Gilang Indrawan Ngurah Agus Sanjaya ER Ni Made Ayu Pranasanthi Dewi Ni Wayan Amanda Putri Astawa Ningsih, Tri Adi Putu Agus Dharma Kusuma Raharja, Made Agung Saiful Bahri Musa Syelvia Julianti Tegar Palyus Fiqar Tri Adi Ningsih Wijaya, Partha