Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

5.844

P-Index

This Author published in this journals

All Journal Jurnal Ilmu Komputer dan Informasi Buletin Udayana Mengabdi Jurnal SPEKTRUM TELKOMNIKA (Telecommunication Computing Electronics and Control) PROSIDING CSGTEIS 2013 JOIV : International Journal on Informatics Visualization SINTECH (Science and Information Technology) Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Electrical, Electronics and Informatics International Journal of Engineering and Emerging Technology Journal of Applied Science, Engineering, Technology, and Education MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Rekayasa elektrika Jurnal Informatika: Jurnal Pengembangan IT Scientific Journal of Informatics Majalah Ilmiah Teknologi Elektro Jurnal SPEKTRUM

Gede Sukadarmika

Program Studi Teknik Elektro, Fakultas Teknik, Universitas Udayana

Author-ID : 2932533

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Other

Published : 50 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

Ontology Modeling for Subak Knowledge Management System Hariyanti, Ni Kadek Dessy; Linawati, Linawati; Oka Widyantara, I Made; Sukadarmika, Gede; Arya Astawa, I Nyoman Gede; Kamarudin, Nur Diyana
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.3386

Subak, as a Balinese traditional agricultural organization, has knowledge of cultural heritage, including both explicit and tacit elements. This research aimed to develop ontology knowledge model for the digital preservation of Subak culture in the form of Knowledge Management System (KMS). The development of model was based on three main stages, including requirement analysis, ontology development, and ontology assessments. Requirement analysis included data collection through field observations, in-depth interviews, and document analysis, while ontology development consisted of hierarchical classes, object and data properties, as well as individual entities. Furthermore, ontology assessments were the stage of evaluating and testing the resulting ontology. Protégé software was used to apply ontology model, generating Ontograph visualizations and producing Ontology Web Language (OWL). Validation was carried out using both Ontology Quality Analysis (OntoQA) and expert comments. The evaluation results showed a Relationship Richness (RR) value of 0.8, an Inheritance Richness (IR) value of 0.78, and an Attribute Richness (AR) value of 3.89, showing that ontology captured a comprehensive and representative body of knowledge. Expert comments stated that ontology model created was worthy of being used to represent Subak knowledge as a form of cultural preservation. The developed Subak ontology could serve as a foundational knowledge base for further research in related fields such as agricultural management, social organization, and cultural preservation.

Ontology-based data framework for the digital preservation cultural heritage: A case of Subak Hariyanti, Ni Kadek Dessy; Linawati; I Made Oka Widyantara; Gede Sukadarmika
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.135-145

Cultural heritage is increasingly fading due to the influence of globalization and social changes that shift traditional values. Digitalization is critical to addressing the degradation of cultural heritage knowledge by enabling more accessible storage and documentation and facilitating preservation and education efforts for future generations. Subak, as a unique traditional agricultural system in Bali, Indonesia, has a wealth of valuable knowledge and culture, but it is still scattered and unstructured. An ontology-based Knowledge Management System is designed to capture, organize, and utilize knowledge within a domain using ontologies as a fundamental component. Ontologies explicitly represent knowledge by providing meaning, properties, and relationships with related concepts. This paper proposes data modelling with the Ontology Development framework for the knowledge base. The methodological framework consists of knowledge externalization, including identifying and collecting knowledge based on data modelling through interviews and observations. The second steps are modelling and development of ontology, based on the knowledge that has been previously disclosed, including the hierarchical structure, properties, and relationships that form the knowledge base. The third stage is the Implementation and evaluation, which involves evaluating the quality of ontology using onto metrics and implementing the ontology into the KMS. The result of this study is data modeling for the knowledge base and the Ontology Development framework. The data modelling is a form of data mapping based on a combination of traditional philosophy and modern management principles that underlie Subak activities and artefacts, namely Tri Hita Karana, Desa Kala Patra, and POAC. The proposed framework can be a reference in developing new ontologies from scratch on unstructured cultural heritage data.

Development of Employee Management Information System UI/UX Using a User Centered Design Approach Saputra, Deva Dimastawan; Sukadarmika, Gede; Purnama, Fajar
Scientific Journal of Informatics Vol. 12 No. 3: August 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i3.27979

Purpose: This study aims to develop a user interface and user experience (UI/UX) prototype for an Employee Management Information System (EMIS) at PT. Galsoft. The research focuses on addressing the manual administrative processes that are still widely used in the company's daily operations. The primary objective is to produce an interface design that aligns with user needs and improves the efficiency of work processes. Methods: This research adopts a User Centered Design (UCD) approach, consisting of four main stages: understanding the context of use, specifying user requirements, designing solutions, and evaluating the design. The prototype developed focuses solely on the UI/UX aspects without involving full system implementation. Usability evaluation was conducted using the System Usability Scale (SUS), involving 38 respondents from various divisions within the company. Result: The evaluation results show that the developed UI/UX prototype achieved an average SUS score of 89.4. This score indicates that the design has a high level of usability, is easy for users to operate, and supports the administrative workflows required by the organization. These findings demonstrate that the UCD approach effectively contributed to creating a design that is both functional and responsive to user needs. Novelty: This study contributes to the field of administrative information system prototyping in workplace environments that have yet to adopt digital solutions. The novelty of this research lies in the comprehensive application of the UCD approach, combined with SUS based usability evaluation, to produce a relevant and functional design that is ready to be further developed into a fully implemented system.

Sistem Presensi Otomatis Menggunakan Pengenalan Wajah Berbasis Deep Learning dan Real-Time Database Nugraha, I Putu Elba Duta; Sukadarmika, Gede
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 4 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i4.8792

The attendance system is a crucial component in the operations of any organization. However, most existing attendance systems still require significant time or manual intervention from users. This study aims to develop a deep learning-based face recognition application with a real-time database to record attendance automatically. This approach is expected to make the attendance process more accurate, faster, and more convenient compared to traditional attendance methods. The study employs a quantitative method through primary data analysis from laboratory testing using dummy data. This testing aims to measure the accuracy of the face recognition system in automatically recording attendance. A face recognition application prototype has been successfully developed with real-time database integration using the Python programming language. The test results show that the application can recognize all faces in the database with a very high accuracy level. The system performance metrics indicate an accuracy of 99.1%, precision of 98.7%, recall of 98.7%, and F1-score of 98.7%. Additionally, the model has been implemented on an NVIDIA Jetson Nano mini-processor, demonstrating efficient operation on low-power hardware and real-time face recognition with optimal processing speed.

Application of DeLone and McLean Methods to Determine Supporting Factors for the Successful Implementation of Electronic Medical Records at Bali Mandara Eye Hospital Dharma, I Gusti Ngurah Aditya; Sukadarmika, Gede; Pramaita, Nyoman
Journal of Applied Science, Engineering, Technology, and Education Vol. 4 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Information technology in the health sector is currently an important factor in providing health services, especially hospitals. Bali Mandara Eye Hospital has implemented information technology in the registration process and bill issuance from 2015. Electronic Medical Record is a new application that will be implemented in 2021 at Bali Mandara Eye Hospital. Electronic Medical Record is a computerized system for recording patient health history. The implementation of electronic medical records at the Bali Mandara Eye Hospital for 1 year has many problems both in terms of regulations, systems and users. Therefore, the DeLone and McLean methods are used to determine the success rate of the implementation of electronic medical records. In this method, research is conducted on 6 variables, namely System Quality, Information Quality, Service Quality, Intention of Use, User Satisfaction and Net Benefits. From each variable, the researcher combines indicators from other researchers that are more appropriate for measuring electronic medical records. The results obtained that all statements submitted are valid. The success rate of electronic medical records at the Bali Mandara Eye Hospital was obtained at 3.22 or 80.50%. To be able to increase this value, it is recommended to improve the Information Quality, System Quality and User Satisfaction

Temporal Action Segmentation in Sign Language System for Bahasa Indonesia (SIBI) Videos Using Optical Flow-Based Approach I Dewa Made Bayu Atmaja Darmawan; Linawati; Sukadarmika, Gede; Wirastuti, Ni Made Ary Esta Dewi; Pulungan, Reza
Jurnal Ilmu Komputer dan Informasi Vol. 17 No. 2 (2024): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v17i2.1284

Sign language (SL) is vital in fostering communication for the deaf and hard-of-hearing communities. Continuous Sign Language Translation (CSLT) is a work that translates sign language into spoken language. CSLT translation is done by changing continuous forms into isolated signs. Segmenting morpheme signs from phrase signs has several challenges, such as the availability of annotated datasets and the complexity of continuous gesture movements. The Indonesian Sign Language (SIBI) system follows Indonesian grammatical norms, including word formation, in contrast to other sign languages with rules derived from their spoken language. In SIBI, a word can consist of a root word and an affix word. Therefore, temporal action segmentation in SIBI is important to reconstruct the results of translating each sign into spoken Indonesian sentences. This research uses an optical flow approach to segment temporal actions in SIBI videos. Optical flow methods that calculate changes in intensity between adjacent frames can be used to determine the occurrence of sign movement or vice versa to determine the delay between sign movements. The absence of intensity differences between the two frames indicates the boundary between sign gestures. This study tested the use of dense optical flow on videos containing SIBI sentences taken from 3 signers. Evaluation is done on several parameters in the dense optical flow algorithm, such as threshold size, PyrScale, and WinSize, to obtain the best accuracy. This paper shows that the optical flow algorithm successfully performs segmentation, as measured by Perf and F1r. The experimental results showed that the highest Perf and F1r yields were 0.8298 and 0.8524, respectively.

Improved Cognitive Distortion Detection using IndoBERT and Important Words Approach for Bahasa Indonesia Suputra, I Putu Gede Hendra; Linawati, Linawati; Sukadarmika, Gede; Putra Sastra, Nyoman; Ari Wilani, Ni Made; Agus Setiawan, I Made
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.3576

Irrational or deviant thinking is a cognitive condition characterized by distortion in perception and reasoning. Such cognitive distortions are often reflected in an individual's speech and writing. Detecting distorted thinking at an early stage is crucial, as it can help mitigate the risk of severe depression. Cognitive Behavior Therapy (CBT) is one of the most widely studied approaches in psychotherapy research for depression. It has been recognized as an effective method for addressing cognitive distortions, depression, and negative thought patterns. Recent advancements in online CBT, particularly those incorporating Natural Language Processing (NLP) techniques, have significantly improved the diagnosis and treatment of cognitive distortions. Numerous studies have explored detecting and classifying cognitive distortions using machine learning models. Cognitive distortion detection is a form of short-text classification that presents a notable challenge – the limited availability of features that effectively capture a text's meaning or intent. Despite these challenges, BERT remains a consistently effective model across various text classification tasks. This study proposes a novel model for detecting cognitive distortions by introducing a new approach that combines sentence-level features from IndoBERT with keyword features derived from the class-based TF-IDF framework. The integration of these two feature sets demonstrated promising results, achieving an average accuracy of 0.787 and an F1 score of 0.769. These values represent improvements of 3.39% and 3.45%, respectively, compared to the IndoBERT-based detection model only. These findings highlight the potential of the proposed model as a valuable early detection tool to support online CBT programs.

PENGEMBANGAN APLIKASI WEB UNTUK MONITORING REKAM MEDIS PADA SISTEM E-HEALTH TRACKER BERBASIS IOT Martogi Jekson C. Siagian; Geraldo Alvin Sugiarto; I Gusti Agung Putu Raka Agung; Gede Sukadarmika
Jurnal SPEKTRUM Vol. 12 No. 3 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2025.v12.i03.p8

The digital transformation in the healthcare sector continues to advance significantly, particularly in the recording and management of electronic medical records. This study proposes the development of a web-based application for monitoring medical records within an E-Health Tracker system that leverages the Internet of Things (IoT), designed using a User-Centered Design (UCD) approach. The system aims to provide seamless access to health information for users through an intuitive interface and cross-device compatibility. The integration of IoT devices enables the transmission of vital health indicators—such as heart rate, body temperature, and oxygen levels—to a central server, which are then visualized through a web-based platform. A key advantage of this application lies in its flexible access and its potential to bridge gaps in healthcare services, especially in regions with limited medical infrastructure. This research is expected to contribute meaningfully to the equitable distribution of healthcare access and to raise public awareness of health literacy through the implementation of IoT-integrated web technologies.

RANCANG BANGUN E-HEALTH TRACKER UNTUK DETEKSI DETAK JANTUNG, SATURASI OKSIGEN, SUHU TUBUH, DAN TEKANAN DARAH BERBASIS IoT I Dewa Gede Agung Wahyu Mahendra; I Made Beni Satriya; I Gusti Agung Putu Raka Agung; Gede Sukadarmika
Jurnal SPEKTRUM Vol. 12 No. 3 (2025): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2025.v12.i03.p14

The Internet of Things (IoT)-based health monitoring system presents a potential solution to improve remote healthcare services, particularly in areas with limited access. This study developed an IoT-based E-Health Tracker capable of measuring four vital health indicators: heart rate, oxygen saturation (SpO₂), body temperature, and blood pressure. The system integrates the MAX30102, DS18B20, and MPX5050GP sensors with Arduino Uno and ESP32 microcontrollers. Measurement data is displayed locally via an LCD TFT. Evaluation was carried out through experimental testing involving 5 participants over 7 consecutive days (a total of 35 samples). The system’s results were compared with conventional medical devices (oximeter, thermometer, and blood pressure monitor), and accuracy was assessed using the Mean Absolute Percentage Error (MAPE) method. The results showed that the system achieved very good to good accuracy levels, with MAPE values of 1.75% for heart rate, 1.28% for SpO₂, 2.67% for body temperature, and 7.74% for blood pressure. This system can serve as an alternative for IoT-based health monitoring.

Pertanian Vertikal Pintar: Peran IoT dalam Mewujudkan Keberlanjutan dan Efisiensi Sumber Daya Putu Ayu Citra Setiawan; Ngurah Indra ER; Gede Sukadarmika
Majalah Ilmiah Teknologi Elektro Vol 24 No 1 (2025): ( Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.205.v24i01.P03

The rapid growth of population and urbanization poses significant challenges to global food security, particularly in urban areas. The conversion of agricultural land into residential and infrastructure zones reduces local food production capacity, while climate change exacerbates uncertainties in crop yields. To address these challenges, IoT-based vertical farming has emerged as an innovative solution to enhance efficiency and sustainability in food production systems. IoT technology enables vertical farming systems to monitor and control environmental variables such as temperature, humidity, lighting, and nutrient levels in real-time through sensors connected to artificial intelligence. The collected data is analyzed to optimize plant growth, minimize resource waste, and maximize crop yields while reducing energy consumption. Additionally, integrating IoT with automated irrigation systems and energy-efficient LED lighting further enhances water and electricity efficiency. From a sustainability perspective, IoT-based vertical farming allows for year-round food production without relying on vast land areas or favorable weather conditions. This research further explores how IoT contributes to improving resource efficiency, environmental sustainability, and the economic and social impacts of vertical farming. . Based on the research findings, the implementation of IoT in vertical farming has proven to be highly beneficial in enhancing sustainability and resource efficiency in urban food production. Through real-time monitoring and automated control systems, IoT enables precise regulation of key environmental factors such as temperature, humidity, lighting, and nutrient levels, ensuring optimal plant growth with minimal resource wastage.

Co-Authors A. Ibi Weking A.A Ngurah Amrita A.I. Weking Adhitya Bayu Rachman Pratama Adi Wiranata, K. N. Aditya Widhiatama, Ngakan Putu Agus Permana Putra Alit Winaya Andika Pranata, I Kadek Ari Wilani, Ni Made Budiastra, IN Dessy Hariyanti, NK Dewa Made Wiharta Dharma, I Gusti Ngurah Aditya Duman Care Khrisne Dwi Yoga Pratama Estry Nurya Savitri Fajar Purnama G M Arya Sasmita Gede Krisna Andika Putra Gede Manuaba, Ida Bagus Geraldo Alvin Sugiarto gung eka paramarta I Dewa Gede Agung Wahyu Mahendra I Dewa Gede Shunu Kendrawan I Dewa Made Bayu Atmaja Darmawan I G. A. K. Diafari Djuni Hartawan I G.A.P.R. Agung I Gede Bayu Tesa Tamara Putra I Gede Made Yogi Priyandana Adi Saputra I Gede Yogi Prawira Putra I Gst Agung Putu Raka Agung I Gusti Agung Gede Arya Kadyanan I Gusti Agung Komang Diafari Djuni Hartawan I Gusti Agung Putu Raka Agung, I Gusti Agung Putu I Gusti Ngurah Arya Tri Andhika I Gusti Ngurah Surya Winata I Ketut Sukawanana Putra I Komang Surya Adinandika I Made Agus Setiawan I Made Ari Pradipta I Made Arsa Suyadnya I Made Beni Satriya I Made Oka Widyantara I Nyoman Gede Arya Astawa I Nyoman Setiawan I Putu Diva Suryawan I Putu Eka Giri Setya Kresnadi Putra I Putu Elba Duta Nugraha I Putu Firgiawan Prasetya I Putu Gede Gentha Kesuma Negara I Putu Gede Hendra Suputra I Putu Gede Yudha Pratama I Putu Sudharma Yoga I Putu Sudharma Yoga I Putu Yuda Pramana Putra I Wayan Mardika I Wayan Shandyasa I. N. Setiawan I.P.D.K Pramulia Joshua Fernaldy Sudarsono Juliawan Pawana, I Wayan Adi K.O. Saputra Kadek Teguh Purwanto Kamarudin, Nur Diyana Kendrawan, I Dewa Gede Shunu Komang Oka Saputra Linawati Linawati . Linawati Linawati Lintin, Yosep Tara M. A. Suyadnya Maisha Putra, I Gusti Agung Ngurah Martogi Jekson C. Siagian MHD. Reza M.I. Pulungan Ngurah Agus Sanjaya ER Ngurah Indra ER Ni Made Ary Esta Dewi Wirastuti Nyoman Pramaita Nyoman Putra Sastra Nyoman Wendy Saputra P. A. Satya Prabhawa Pande Ketut Sudiarta Pande Ketut Sudiartha Paramitha Sekar Putri A.P., Ni Made Puspitawati, Luh Eka Putra, Agus Permana Putu Ayu Citra Setiawan PUTU FEBY PRADIPTA Putu Ratih Devyanti Ridho Yurham Rukmi Sari Hartati S.G.Y.P. Putra Saputra, Deva Dimastawan Wayan Gede Ariastina Widyadi Setiawan Willy Susanto Yoel Sthefianus Yoga Divayana Yoga, I Putu Sudharma Yohanes Yohanes

Title

Found 50 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 50 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 50 Documents
Search