Article Per Year (5 Year)
p-Index From 2021 - 2026
5.18
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering International Journal of Informatics and Communication Technology (IJ-ICT) Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal SPEKTRUM Jurnal Sains dan Teknologi Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding SNATIKA Vol 01 (2011) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Teknologi Informasi dan Pendidikan International Journal of Engineering and Emerging Technology Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Indonesian Journal of Electrical Engineering and Computer Science International Journal of Engineering, Science and Information Technology Decode: Jurnal Pendidikan Teknologi Informasi Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Anak Agung Kompiang Oka Sudana
Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 49 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 49 Documents
Search

 1   2   3   4   5 
Sketching Expert System for Crime Investigation Purposes Bagus Yudistira; I Ketut Gede Darma Putra; Anak Agung Kompyang Oka Sudana
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5655-5660

Abstract

The presence of police sketcher play an important role in making investigation in purpose of making arrestment to fugitive or suspect. The lacking presence of police sketcher is making a lack in investigation process, because lack of information gathered for the further process. This limitation is overcome by developing an expert system using gadget as a helping device to making sketch, with adding sketcher knowledge. Sketching method already been used since long time in process of investigation and effective making the result. The result of expert system on case given showing the system to real object which made sketching reach 85% of accuracy level.
Forecasting Pneumonia Toddler Mortality Using Comparative Model ARIMA and Multilayer Perceptron Ni Kadek Ary Indah Suryani; Oka Sudana; Ayu Wirdiani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 4 (2022): Agustus 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.297 KB) | DOI: 10.29207/resti.v6i4.4106

Abstract

Pneumonia is an inflammatory lung disease that causes the second largest number of deaths in Indonesia after Dengue Hemorrhagic Fever (DHF). In 2021, there was an increase in cases of 7.8% compared to the previous year, and was exacerbated by the Covid-19 pandemic. Predictive methods were needed to predict and compare the ARIMA and MLP methods, where the results of the best methods were selected for long-term forecasting. The research data used was from January 2014 – December 2021, with a total of 96 data. In choosing the best method, the basic error calculations used were Mean Absolute Deviation, Mean Squared Error, and Mean Absolute Percentage Error. This study aims to build a predictive model for the next period of pneumonia under-five mortality. These results can be used for government policy-making related to mortality prevention for the next period. The results showed that the MLP method was superior to ARIMA. Testing 28 mortality rate data using the final test result showed that the best method was MLP, with a hidden layer value of 2.2, a learning rate of 0.3, and an error percentage of 1.27%. The prediction results of the overall mortality rate of pneumonia under five in 2022 was predicted to be 136 people.
Android-based Mail Management Information System in Desa Adat Awen Hariwijaya; Oka Sudana; Anak Agung Ketut Agung Cahyawan Wiranatha
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 10 No 3 (2022): Vol. 10, No. 3, December 2022
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2022.v10.i03.p01

Abstract

Desa Adat is one of the traditional institutions in Bali. Based on a survey and interview in Desa Pakraman Sesetan gives proof that mail management and archiving are still done conventionally. This research’s purpose is to build a system that can increase mail management’s efficiency in Desa Adat. Android-based application allows its user to do mail management from anywhere and anytime with the phone-optimized user interface. System is developed using Flutter Framework on the front-end side and Laravel Framework on the back-end side. System testing is done by using the Blackbox Method and PSSUQ Method. System testing’s result using Blackbox Method gives the fact that the system’s functionality already runs well. System testing’s result using PSSUQ Method gives the fact that the system has been declared good.
Development of Balinese Cosmetology Marketplace Application on Android Based Wirdiani, Ayu; Sudana, Oka
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 11 No 3 (2023): Vol. 11, No. 3, December 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2023.v11.i03.p08

Abstract

Appearance is the main thing for women. An attractive appearance makes a person more confident. This shows that the demand for personal beautification services is still high, and is a promising beauty business opportunity. Apart from daily grooming, salon and cosmetology businesses are also in high demand at certain events such as graduations, weddings and dance events. In the pandemic era, most people are reluctant to leave the house to get treatment, they want something practical that can be ordered online. Based on this, a solution was created in the form of an online application so that people can order make-up and body care at home. In this application there will be three users, namely salon admin, customer and therapist staff. The test results using the black box method which were tested by 15 salon customers produced a percentage of 87.96%, which means the application is very suitable for development. The test results with usability testing show that the satisfaction indicator is the highest indicator.
Developing a Marker-Based AR Application to Introduce Temples and Cultural Heritage to Younger Generations Sudana, Oka; Adi, Ngurah; Cahyawan, Agung
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 3 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i3.76126

Abstract

Preserving Balinese cultural heritage is crucial for sustaining community identity. In Bali, temples (pura) are central to spiritual and cultural life. However, younger generations, especially temple caretakers of Pemerajan Agung Sakti Padangsambian, are increasingly losing knowledge of these sacred spaces, weakening their sense of belonging, to preserve cultural traditions. Current media efforts has failed to engage this demographic. This research addresses this challenge by developing an application-integrated images compiled into books and Android-based AR technology. The application employed a user-centered design approach involving analysis, design, development, testing, and evaluation phases. Results show AR effectively bridges the knowledge gap, with usability scores and a significant increase in user knowledge of 42.43%. This research demonstrates AR's potential for preserving and transmitting cultural heritage, including the reconstruction of damaged historical objects through 3D modeling with the marker detection technology, to ensure seamless integration between the real and virtual worlds.
Innovative Learning Model for Dharmagita Based on Telegram Chatbot Ni Putu Utari Dyani Laksmi; A.A. Kompiang Oka Sudana; AA.Kt.Agung Cahyawan Wiranatha
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 2 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i2.78535

Abstract

In the digital era, instant messaging has become a vital aspect of people's daily lives, especially among the younger generation. This presents opportunities to utilize technology that can be integrated into instant messaging as a learning medium. This research innovates to develop a learning model for Dharmagita, also known as sacred Hindu songs, using a chatbot as a platform aimed at attracting the interest of the younger generation in studying Dharmagita as a cultural heritage. This chatbot was developed using the Rasa framework, which is founded on Natural Language Understanding (NLU). Based on the results of the User Acceptance Test, the Dharmagita Chatbot received a positive response from users. The chatbot model achieved an accuracy value of 86.7%, an F1-score of 88.4%, and a precision of 91.1%. These results underscore the effectiveness and reliability of the chatbot in facilitating learning and engagement with Dharmagita content.
Intelligent Web-Based Application for Personalized Obesity Management Wijayakusuma, I Gusti Ngurah Lanang; Sudarma, Made; I Ketut Gede Darma Putra; Oka Sudana; Minho Jo
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9151

Abstract

Obesity is a serious global problem due to its association with various chronic diseases. This study explores the utilization of machine learning in particular deep learning technology to predict Body Mass Index (BMI) from individual photos to create an efficient solution for assessing obesity. Using the ResNet152 model and K-Fold Cross Validation, this application integrates filters on individual photos to improve prediction accuracy. The application was developed using React JS for the front end, PHP and MySQL for the backend and database management, and Python as the core of the machine learning system. The application that tested using blackbox method, to see all features is functioning and the web application prototipe is passed all the test scenario.
Face Dermatological Disorder Identification with YoloV5 Algorithm Ayu Wirdiani; Lennia Savitri Azzahra Lofiana; I Putu Arya Dharmadi; Oka Sudana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6237

Abstract

Dermatological disorders are common in humans. The accurate identification of skin diseases is paramount for determining the most efficacious treatment. This system can screen images of skin diseases on the face and provide analysis results in the form of object detection. Dermatological disorders of the face are classified into six categories: acne nodules, melasma, filiform warts, milia, papules, and pustules. The YoloV5 algorithm was selected because of its effectiveness in live-detection tasks. The image-enhancement process involves the implementation of two methodologies: sharpening and histogram equalization. The former adjusts the brightness values whereas the latter adjusts the contrast values. The dataset comprised 1,223 images of skin diseases, with 947 images allocated for training and 276 for validation. The optimal mAP of the filiform wart class was determined to be 87.6%, with values of 76.7% for pustules, 72% for papules, 71% for milia, 68% for nodules, and 38.2% for melasma, representing the lowest value. The low mAP of melasma was attributed to the abstract image data type and complexity of localization. The congruence of object features and disparity in data variance has the potential to influence outcomes.
Smart Stego: A Web Application for Hiding Secret Data in Images with LSB and CNN Suryawan, I Gede Totok; Sudarma, Made; Putra, I Ketut Gede Darma; Sudana, Anak Agung Kompiang Oka
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1008

Abstract

This study develops a web-based steganography model to insert the identity of artisans in the form of palmprint images into the image of gringsing ikat woven cloth as a medium for ownership authentication. The method used in the insertion process combines a Convolutional Neural Network and the Least Significant Bit. In contrast, extracting or re-introducing palmprint images from stego images is carried out using a CNN-based classification model. This system was tested with two scenarios; in the first scenario, one palmprint image was inserted into 26 different cloth motifs, while in the second scenario, one cloth motif was inserted into 99 different palmprint images. The test results showed that the system produced consistent confidence values for all cloth motifs in the first scenario. In contrast, in the second scenario, the system achieved an average confidence of 93.5% and a recognition accuracy of 87%. The developed application has proven to be efficient with a reduction in stego image size of up to 66% while maintaining the quality of the stego image, as well as a speedy average execution time of 0.15 seconds for insertion and 0.09 seconds for extraction. These findings prove that the developed steganography model can effectively insert and re-recognize identity images (palmprints) in woven cloth images and has the potential to be applied as an image-based craft product ownership verification system.
Design and Implementation of Telegram Bot for Integrated Hospital Information System Sudana, Oka; Paramartha, Ary; Wirdiani, Ayu; Rusjayanthi, Dwi
JST (Jurnal Sains dan Teknologi) Vol. 11 No. 1 (2022)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.38 KB) | DOI: 10.23887/jstundiksha.v11i1.41304

Abstract

Masih banyak rumah sakit umum belum memanfaatkan telegram bots API. Telegram Bots memungkinkan multi-channel access untuk memudahkan akses data yang dimiliki oleh sistem informasi. Setiap bagian rumah sakit membutuhkan modul yang berbeda. Modul perlu diintegrasikan agar aliran pertukaran data menjadi lebih mudah. Penggunaan internet messenger seperti telegram dapat mempermudah proses integrasi yang dibutuhkan, sehingga pengguna dapat dengan mudah mendapatkan informasi dari sistem. Tujuan penelitian ini yaitu untuk mengembangkan sistem informasi rumah sakit yang terintegrasi dengan bot telegram. Pengujian sistem dilakukan di laboratorium oleh 30 pengguna sebagai pasien dan satu pengguna sebagai administrator. Pengujian sistem menggunakan metode black box dengan fokus pada input, fungsionalitas, dan output untuk semua proses antrian. Bot telegram ini menggunakan bantuan cronjobs dan webhooks untuk mengambil informasi dan menjalankan perintah pengiriman pesan untuk bot telegram. Hasil yang ditunjukkan pada penelitian ini adalah telegram bot yang dirancang untuk diuji menggunakan user acceptance test (UAT) dengan hasil respon yang sangat positif dan dianggap berhasil. Bot telegram ini memfasilitasi pasien dan pekerja rumah sakit untuk mendapatkan informasi dengan segera.
Co-Authors A. A. Raka Onny Diar Danur C. A.A Primaningrat Gita Puspita A.A. Gede Brampramana Putra A.A. Ketut Agung Cahyawan W AA.Kt.Agung Cahyawan Wiranatha Adi, Ngurah Adityaksa, I Gede Made Abhi Agung Jodi Pratama Agus Ghana Putra Partama Akane Sasaoka Anak Agung Ketut Agung Cahyawan Wiranatha Ananda Paramartha Angga Kusuma, Angga Anjela Faye M. Basco Arnawa, I Putu Riko Putra Arsa, Dewa Made Sri Arturito, Made Jiyestha Astutik, Dian Awen Hariwijaya Ayu Wirdiani Ayu Wirdiani Bagus Yudistira Bayupati, Agung Daniel Hadi Darma Putra Desy Purnami S.P Dewa Made Wiharta Dewi, Ida Ayu Pradita Dewi, Ni Wayan Emmy Rosiana Dharma Dyatmika Dwi Putra Githa Dwi Rusjayanthi, Dwi Erna Yulianti Gusti Agung A. Putri Gusti Agung Ayu Putri I Dewa Nym. Nurweda P., I Gede Totok Suryawan I Ketut Adi Purnawan I Ketut Gede Darma Putra I ketut Gede Darma Putra I Made Sukarsa I Made Sunia Raharja, I Made Sunia I Made Suwija Putra I Made Wahyu Saputra I Nyoman Artha Wijaya I Nyoman Eddy Indrayana I Nyoman Piarsa I Pt. Pradnya Pratisditha Ning Parwa I Putu Agung Bayupati I Putu Arya Dharmaadi I Putu Arya Dharmadi I Putu Putra Diyastama I Putu Sura Sanjaya I Wayan Gunaya I. A. K. Sita Laksmita I.D.A. Manik Mas Astawastini I.W. Wahyu Ivan M.J Ida Ayu Wahyu Kumara Putri Ida Bagus Brama Barnawa Irwansyah Cahya Irwansyah Cahya Adha L Kadek Bagus Budi Sasmara Kadek Suar Wibawa Ketut Nila Arta Kevin Wijaya Krisna Cahaya Putra I Putu Krissna Bayu Kusuma Putra, I Gede Angga Lennia Savitri Azzahra Lofiana Made Praditha Gutama Made Sudarma Made Sudarma Made Sukarsa Mahardhika Tirta Mahardika, Oka Minho Jo Ni Kadek Ary Indah Suryani Ni Kadek Giofanni Chandra Devi Ni Kadek Riska Sadini Ni Komang Surya Cahyani Putri Ni Made Ika Marini Mandenni Ni Putu Ratna Gangga Dewi Ni Putu Sutramiani Ni Putu Utari Dyani Laksmi Paramartha, Ary Pratama, I Putu Adi Merta Pratiwi, Putu Ayu Citra Primanggara Gamaswara Purba, Maria Br Purnawan, Abdi Putra, I Made Suwija Putra, Yogiswara Dharma Putu Anantha Prasetya Yogantara Putu Wira Buana R. Arif Yudarmawan Raharja, Sunia Rahayu Widasari, Made Bandem Yosita Rukmi Sari Hartati Rusjayanthi, Ni Kadek Dwi Shilta Inda Qurroti A'yun Achmadi Sukma, Kd. Vigyan Melati Suryadana, Agus Taradhita, Dewa Ayu Nadia Wahyu Hardinugraha Wayan Galih Pratama Wijayakusuma, I Gusti Ngurah Lanang Winama Putra, Andre Dwi Wiranatha, Agung Agung Ketut Cahyawan Yonatan Adiwinata