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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Sains dan Teknologi Jurnal Buana Informatika Jurnal Ilmiah Kursor JUTIK : Jurnal Teknologi Informasi dan Komputer JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYA LAKSANA Seminar Nasional Aplikasi Iptek (SINAPTEK) Jurnal Pengabdian Informatika (JUPITA) Paradharma: Jurnal Aplikasi IPTEK Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Wayan Supriana
Universitas Udayana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Pelatihan Pemrograman dan Pembuatan Aplikasi Android Basic dengan Standar Google Bagi Siswa SMK Prshanti Nilayam Kuta Feoh, Gerson; Gunawan, Putu Wida; Raharja, Made Agung; Supriana, I Wayan; Putra, IGN Anom Cahyadi
Paradharma: Jurnal Aplikasi IPTEK Vol. 2 No. 1 (2018): Paradharma: Jurnal Aplikasi IPTEK
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Dhyana Pura – Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (521.651 KB) | DOI: 10.36002/jpd.v2i1.567

Abstract

ABSTRAKGoogle bekerjasama dengan lembaga pendidikan tinggi yang ada di Indonesia, memiliki program standarisasi untuk membuat standar pelatihan Android dengan 3 level yaitu basic, intermediate, dan advance. Program Studi Teknik Informatika Universitas Dhyana Pura sebagai salah satu program studi yang menerapkan kurikulum Android berstandar Google dalam mata kuliah Aplikasi Mobile, mewujudkan program dari Google sekaligus mengenalkan Program Studi Teknik Informatika melakukan Pengabdian Kepada Masyarakat dalam bentuk pelatihan pemrograman dan pembuatan aplikasi basic dengan standar Google melalui Udacity sebagai panduan training dan training langsung oleh dosen dan dibantu oleh mahasiswa-mahasiswi Program Studi Teknik Informatika yang sudah lulus dalam sertifikasi Indonesia Android Kejar. Pelatihan yang dilaksanakan selama 4 (empat) kali dari tanggal 23 November 2017 sampai dengan 07 Desember 2018 dan diikuti oleh 44 orang siswa SMK Prshanti Nilayam Kuta. Software yang digunakan dalam pelatihan ini adalah Android Studio 3.0 sebagai IDE paling terakhir dari Google. Hasil dari pengabdian masyarakat ini adalah kemampuan dasar dalam programming dan pembuatan aplikasi sesuai keinginan peserta dimana peserta dapat melanjutkan ke dalam program lanjutan dari Google yaitu Indonesia Android Kejar.Kata kunci : Android, Indonesia Android Kejar, SMK Prshanti Nilayam Kuta, GoogleABSTRACTGoogle is working with higher education institutions in Indonesia, has a standardization program to create standard Android training with 3 levels of basic, intermediate, and advance. Informatics Engineering Study Program Dhyana Pura University as one of the study program that apply the Google Android standard curriculum in the Mobile Application course, realize the program from Google as well as introduce Informatics Engineering Study Program to Serve the Community in the form of training programming and making basic applications with Google standards through Udacity as a training guide and direct training by lecturers and assisted by students of Informatics Engineering Study Program which has passed the certification of Indonesia Android Kejar.Pelatihan conducted for 4 (four) times from 23 November 2017 until 07 December 2018 and followed by 44 students of SMK Prshanti Nilayam Kuta. The software used in this training is Android Studio 3.0 as the most recent IDE from Google. The result of this community service is the basic capability in programming and making the application as per the participants' wishes where the participants can proceed to the advanced program from Google that is Indonesia Android Kejar.Keywords : Android, Indonesia Chase Android, SMK Prshanti Nilayam Kuta, Google
Rancang Bangun Sistem Informasi Pemilihan Fasilitas Kesehatan Berbasis PCA dan Fuzzy AHP Aditya Chandra Nugraha; I Wayan Supriana; I Made Satria Bimantara
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 4 (2025): JNATIA Vol. 3, No. 4, Agustus 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.i04.p17

Abstract

This paper discusses a proposed development process of an information system for the placement of health facilities in Bali by utilizing a fuzzy analytical hierarchy process and principal component analysis to reduce the dimensionality of the various datasets used in the decision making process. Fuzzy AHP is used to determine the weights of nine distinct criteria, including distance to population centers, service quality, infrastructure availability, population density, and healthcare accessibility, among others. Principal Component Analysis (PCA) helps in extracting the most influential variables from socio-economic, geospatial, and satellite-based datasets, simplifying the input without significant loss of information. The system is built using the Laravel framework and offers functionalities for both users seeking facility recommendations and authorities proposing new locations. Manual Fuzzy AHP calculations showed a consistency index of 0.23, indicating the need for improved consistency in pairwise comparisons. Overall, the system successfully automates the recommendation process, combining expert judgment and data-driven analysis to support equitable and effective placement of health services.
Implementasi Algoritma Rule-Based dalam Penentuan Tata Letak Sanggah Merajan Ni Kadek Rika Dwi Utami; I Wayan Supriana
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 1 (2025): JNATIA Vol. 4, No. 1, November 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.v04.i01.p10

Abstract

Balinese traditional architecture holds deep philosophical and spatial meanings, particularly in the design of sacred family shrines known as merajan. However, the complexity of applying Asta Kosala Kosali principles often poses challenges, especially for the younger generation unfamiliar with traditional spatial knowledge. This research aims to develop a web-based simulator that assists users in designing merajan layouts by implementing a rule-based algorithm derived from literature and expert interviews. The simulator processes user inputs such as land dimensions and traditional measurement units to generate an automated visual layout that aligns with cultural rules. The methodology includes knowledge acquisition, rule formulation, system architecture design, and functional implementation. Functional testing confirms that the system can accurately position sacred structures according to the Sanga Mandala zoning concept and calculate distances based on customary units like alengkat and limang nyari. Usability testing involving 38 respondents using the System Usability Scale (SUS) method results in a high usability rating, indicating the system’s ease of use and usefulness. This research contributes to the digital preservation and dissemination of Balinese spatial wisdom and provides a foundation for future development of interactive cultural heritage tools.
OPTIMALISASI DAN PENAMBAHAN FITUR APLIKASI E-COMMERCE MITRAKU UNTUK MENINGKATKAN KINERJA DAN KEAMANAN APLIKASI Putra, I Putu Krisnawan; Supriana, I Wayan; Giri, Gst. Ayu Vida Mastrika
Jurnal Pengabdian Informatika Vol. 4 No. 2 (2026): JUPITA Volume 4 Nomor 2, Februari 2026
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

This study focuses on optimizing and enhancing the Mitraku e-commerce application to improve its performance and security. The methodology used is Scrum, which enables the gradual and collaborative development of features. Several security features implemented include password strength indicators and masked icons to enhance user data protection. Additionally, bug fixes for the pagination feature and expanded front-end code testing coverage were implemented to minimize errors and improve application stability and responsiveness. The results of this study indicate that the Scrum methodology is effective for developing the Mitraku e-commerce project, particularly in feature addition, bug fixing, and expanding code testing coverage.
PENERAPAN SISTEM ENVIRONMENTAL RESOURCES MANAGEMENT BERBASIS WEB DI RSUD SANJIWANI GIANYAR Surya Gemilang, I Wayan Adhi; I Wayan Supriana; Cokorda Rai Adi Pramartha
Jurnal Pengabdian Informatika Vol. 4 No. 2 (2026): JUPITA Volume 4 Nomor 2, Februari 2026
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Dalam era digital saat ini, pengelolaan sumber daya di rumah sakit semakin kompleks dan memerlukan sistem terintegrasi yang mampu meningkatkan efisiensi operasional serta kualitas layanan. RSUD Sanjiwani sedang melakukan migrasi sistem dari aplikasi berbasis desktop ke aplikasi berbasis web guna meningkatkan fleksibilitas, efisiensi, dan kemudahan akses dalam pengelolaan data pasien. Permasalahan utama yang dihadapi adalah keterbatasan sistem desktop yang hanya dapat diakses melalui komputer tertentu dan memerlukan proses instalasi, sehingga menyulitkan dalam operasional harian rumah sakit. Untuk mengatasi hal tersebut, dilakukan pengabdian berupa pengembangan sistem Enterprise Resource Management (ERM) versi web yang memungkinkan input data pasien dapat dilakukan dari komputer mana pun di lingkungan rumah sakit tanpa instalasi tambahan. Proyek ini melibatkan tahapan analisis kebutuhan, desain antarmuka, pengembangan fitur utama, serta perancangan basis data yang sesuai dengan struktur informasi rumah sakit. Kerja sama langsung dengan pihak rumah sakit dilakukan agar sistem yang dibangun benar-benar menjawab kebutuhan nyata di lapangan. Hasil dari pengembangan ini meliputi implementasi beberapa halaman penting seperti dashboard, daftar antrian, dan input asuhan keperawatan (askep). Adapun proses integrasi akhir dengan database utama diserahkan kembali kepada pihak rumah sakit, karena data tersebut bersifat rahasia dan tidak dapat diakses selama proses pengembangan. Sistem ini diharapkan menjadi langkah awal dalam transformasi digital RSUD Sanjiwani menuju layanan berbasis web yang lebih modern dan efisien. In today’s digital era, resource management in hospitals is becoming increasingly complex and demands technology integration that supports operational efficiency and service quality. RSUD Sanjiwani is undergoing a system migration from desktop-based applications to web-based applications to improve flexibility, efficiency, and accessibility in managing patient data. The main issue faced is the limitation of desktop systems, which can only be accessed from specific computers and require installation, thereby hindering daily hospital operations. To address this problem, a community service project was carried out to develop a web-based Enterprise Resource Management (ERM) system that allows patient data input from any computer within the hospital network without the need for additional installation. The project involved several stages, including needs analysis, user interface design, development of key features, and the design of a database structure tailored to the hospital’s information system. Direct collaboration with the hospital staff ensured that the system built was aligned with actual operational needs. The development successfully produced key pages such as the dashboard, queue list, and nursing care input (askep). Final integration with the hospital’s main database is to be completed by the hospital's internal team, as the data is confidential and could not be accessed during the development process. This system is expected to be the first step in RSUD Sanjiwani’s digital transformation toward a more modern and efficient web-based service.
SITUS PELATIHAN KETERAMPILAN KERJA BTW EDUTECH Hanggara Diatha, Putu; I Wayan Supriana; I Made Widiartha
Jurnal Pengabdian Informatika Vol. 4 No. 1 (2025): JUPITA Volume 4 Nomor 1, November 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Situs pelatihan keterampilan kerja adalah suatu situs yang dirancang oleh BTW Edutech di Kota Denpasar, Bali. Pengembangan situs ini bertujuan untuk menyediakan kursus pelatihan keterampilan kerja bersertifikat bagi masyarakat. Proyek ini mencakup layanan kursus dengan beragam bidang yang dapat diakses oleh masyarakat yang membutuhkan. Hasil utama dari proyek ini adalah sebuah situs pelatihan keterampilan kerja yang dapat diakses oleh masyarakat untuk menambah kemampuan atau keterampilan kerja. Penggunaan dari situs ini diharapkan dapat memecahkan solusi masyarakat yang membutuhkan keterampilan kerja tambahan dalam pekerjaannya.
Perbandingan Metode Clustering K-Means, GMM, dan DBSCAN Berbasis Fitur RFM Putu Nadya Putri Astina; I Wayan Supriana; I Made Satria Bimantara
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 2 (2026): JNATIA Vol. 4, No. 2, Februari 2026
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.2026.v04.i02.p07

Abstract

In the digital banking era, understanding customer behavior has become essential for delivering relevant services and maintaining competitiveness. This study aims to develop and evaluate customer segmentation models by leveraging an extended RFM (Recency, Frequency, Monetary) model, incorporating both behavioral and demographic attributes. Preprocessing, feature engineering, handling outliers, and standardization were done on the data using a dataset of 100,000 bank transaction records from Kaggle. DBSCAN, Gaussian Mixture Model (GMM), and K-Means were the three clustering techniques that were employed and contrasted. The clustering performance was evaluated using the Silhouette Score, Calinski-Harabasz Index (CHI), and Davies-Bouldin Index (DBI). The output of DBSCAN was too noisy to be useful in the business world, despite having the highest scores on Silhouette: 0,667 and lowest score on DBI: 0,396. K-Means offered the most interpretable segmentation with five ideal clusters (Silhouette: 0,308; DBI: 0,957; CHI: 6191), identifying customer groups ranging from highly active to potentially inactive. The findings highlight the synergy between transactional features and clustering algorithms in generating actionable insights for banking strategy.
Perbandingan CNN dan SVM untuk Klasifikasi Citra Rempah Indonesia Komang Arjuntama Satria; I Wayan Supriana
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 2 (2026): JNATIA Vol. 4, No. 2, Februari 2026
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.2026.v04.i02.p17

Abstract

The purpose of this study is to evaluate how well Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) perform while using digital image data to classify different kinds of Indonesian spices. This study's dataset, which includes a variety of spice images with different shapes, textures, and colors, was sourced from the Kaggle platform. CNN is frequently used in difficult picture classification problems and is well known for its capacity to automatically extract visual information. SVM, on the other hand, is a traditional machine learning method that has demonstrated reliable results in a range of classification tasks, especially when dealing with sparse data and well-organized features. There are several processes in the study technique, such as gathering data, preprocessing images, training the model, evaluating the model, and comparing performance. The models abilities and flaws in categorizing spice photos are thoroughly examined by evaluating them using important performance measures such as accuracy, precision, recall, and F1-score. The findings are anticipated to aid in the development of intelligent agricultural systems, particularly in automating the process of classifying and identifying spice items. Furthermore, this comparison can be used as a reference to choose suitable machine learning techniques for comparable picture classification problems including datasets linked to agriculture or food.
Aplikasi Ekstraksi Fitur Citra Buah Berbasis Website Menggunakan Metode Histogram I Made Wahyu Purnama Putra; I Wayan Supriana
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 1 (2023): JNATIA Vol. 2, No. 1, 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/JNATIA.2023.v02.i01.p18

Abstract

Image recognition and feature extraction of fruits using histogram methods have garnered significant attention in the fields of agriculture, food industry, and image processing. The Histogram method is an effective approach in automatically identifying unique characteristics of each fruit. Previous studies have demonstrated the success of histogram method in fruit image recognition based on color, texture, and shape. In this research, we propose the use of histogram method for fruit image feature extraction. We utilize secondary data consisting of fruit images such as apple, banana, mango, orange, papaya, melon, and watermelon, obtained from publicly available research datasets. We conduct a literature review to deepen our understanding of the histogram method and implement feature extraction steps such as mean, standard deviation, energy, entropy, and skewness. The authors developed a web-based application using Python programming language with the Django framework to perform fruit image feature extraction. This application allows users to upload fruit images, perform image pre-processing, and extract features using the histogram method. The extracted feature results are stored in a database for further use. Through this application, we successfully extract features from fruit images, such as banana, using the histogram method. The extracted feature results include mean, standard deviation, energy, entropy, and skewness. These results can be utilized in further research and training machine learning models to recognize and classify various types of fruits with high accuracy. 
Implementasi IoT pada Sistem Pendeteksi Kebocoran Gas untuk Mencegah Kebakaran Rumah I Gede Putu Mahasatya Katyayana; I Wayan Supriana
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.p17

Abstract

This study aims to implement Internet of Things (IoT) technology in a LPG gas leakage detection system to prevent potential house fires. Utilizing gas sensors, Arduino, and other electronic components, this device aims to provide early warnings and quick responses to the presence of potentially hazardous gas levels. The research methodology includes system requirement analysis, device design, and functionality testing. Test results demonstrate that the system is capable of detecting leaks with good sensitivity, specifically detecting gas levels above or equal to 500. The system also accurately recognizes changes in gas concentrations and provides warnings through LED lights, Piezo alarms, and an LCD screen. Data analysis confirms the system's performance and asserts its effectiveness in emergency situations. 
Co-Authors Adiartika, Made Harry Dananjaya Aditya Chandra Nugraha Agus Muliantara Aisyah Putri, Sandrina Ferani Alexander Ibrahim Anak Agung Gede Ngurah Ananda Wirasena Anak Agung Istri Dewi Lestari Anak Agung Istri Ngurah Eka Karyawati Anak Agung Istri Ngurah Eka Karyawati Ananta, I Gede Ngurah Wahyu Brahmantha, Gede Putra Aditya Cokorda Pramartha Cokorda Rai Adi Pramartha Devan Bramantya Dharmawangsa, I Gusti Ngurah Agung Eka Putra, I Gede Ariawan Gerson Feoh Giri, Gst. Ayu Vida Mastrika Giri, I Nyoman Yusha Tresnatama Gst. Ayu Vida Mastrika Giri Hanggara Diatha, Putu I Dewa Agung Cahya Putra I Gede Ariawan Eka Putra I Gede Ngurah Wahyu Ananta I Gede Putu Mahasatya Katyayana I Gede Santi Astawa I Gede Wilantara Jaya I Gusti Agung Gede Arya Kadyanan I Gusti Bagus Ngurah Agung Brian Wijaya I Gusti Ngurah Anom Cahyadi Putra I Ketut Agus Pranata Muliawan I Ketut Gede Suhartana I Ketut Gede Suhartana I Komang Ari Mogi I Made Arya Dwisada I Made Satria Bimantara I Made Satria Bimantara I Made Wahyu Purnama Putra I Made Widi Arsa Ari Saputra I Made Widiartha I Made Widiartha I Nyoman Adiputra I P G. Adiatmika I Putu Gede Hendra Suputra I Putu Gede Maysa Putra I Putu Krisnawan Putra I Wayan Adhi Surya Gemilang I WAYAN SANTIYASA I Wayan Wikananda Adikara Ida Ayu Gede Suwiprabayanti Ida Ayu Made Putri Santiani Ida Ayu Tri Sabina Putri Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra IWK Teja Sukmana Jeremi Herodian Abednigo Jhordi, Rafif Karlina Surya Witanto Kiki Dwi Prebiana Komang Arjuntama Satria Komang Dhiyo Yonatha Wijaya Krisphino Saputra Nurbidin Liana, Laurensia Luh Arida Ayu Rahning Putri Luh Gede Astuti Luh Gede Astuti Mahardika, I Gede Teguh Maheswara, Pande Putu Devo Punda Marissa Audina Mrs Megawati Muhammad Firdaus Zulkarnain Muliawan, I Ketut Agus Pranata Ni Kadek Rika Dwi Utami Ni Komang Santi Cahyani Ni Made Putri Wahyuni Ni Putu Dian Kartika Sari Ni Wayan Anti Andari Nyoman Putra Prasetya Wardhana Partamayasa, I Wayan Gede Prashanti, Ni Putu Vidya Vira Prebiana, Kiki Dwi Putra, I Made Wahyu Purnama Putra, I Putu Krisnawan Putra, IGN Anom Cahyadi Putu Dena Satwika Sandi Putu Nadya Putri Astina Putu Wida Gunawan Radhitya, Made Leo Raharja, Made Agung Saifulloh Rahman Sandrina Ferani Aisyah Putri Sang Putu Febri Wira Pratama Santiani, Ida Ayu Made Putri Saputra, I Made Widi Arsa Ari Saputra, I Made Widi Arsa Ari Saputra Simarmata, Ivan Luis subanar subanar Sudarmawan, I Komang Roni Surya Gemilang, I Wayan Adhi Susy Purnawati Tpoy, Getzbie Alfredo Utama, I Putu Yasa Utari, Ni Nyoman Grisyana Valentin Gea Affila Pradika Wahyu Ananta, I Gede Ngurah Wardhana, Nyoman Putra Prasetya Wati, Zulfazazalia Putri Candra Wiantari, Ni Wayan Zulfazazalia Putri Candra Wati