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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Ilmu Komputer Buletin Udayana Mengabdi Jurnal SPEKTRUM Jurnal Pendidikan Teknologi dan Kejuruan TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic PROSIDING CSGTEIS 2013 Jurnal Teknologi Informasi dan Ilmu Komputer JUITA : Jurnal Informatika JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Syntax Literate: Jurnal Ilmiah Indonesia Matrix : Jurnal Manajemen Teknologi dan Informatika Cetta: Jurnal Ilmu Pendidikan Jurnal RESISTOR (Rekayasa Sistem Komputer) Astonjadro Journal of Electrical, Electronics and Informatics International Journal of Advances in Data and Information Systems Jurnal Ilmiah Vastuwidya Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal SPEKTRUM
I Made Oka Widyantara
Electrical Engineering Universitas Udayana
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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Evaluation of DVB-T2 Digital TV Propagation Performance in the Bali Broadcast Area Pradnyana, I Made; Widyantara, I Made Oka; Pramaita, Nyoman
ASTONJADRO Vol. 12 No. 3 (2023): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v12i3.14311

Abstract

The development of terrestrial television broadcasting technology in the world today is switching from analog broadcasting systems to digital broadcasting systems. Analog Switch Off (ASO) is the period when analog broadcasts are stopped and replaced with digital broadcasts. Through the jargon "Clean Picture, Clear Sound, Advanced Technology" people will feel better quality than analog TV. In the era of digital broadcasting, TV viewers not only watch broadcast programs but can also get additional facilities such as EPG (Electronic Program Guide) to find out the programs that have been and will be aired later. With digital broadcasting, there is the ability to provide interactive services where viewers can directly rate the sound of broadcast programs in addition to the presence of features that can be utilized, such as features related to disaster information. In this study, an evaluation of the performance of DVB-T2 Digital TV propaganda will be carried out in the Bali service area. The quality of digital TV broadcasts in the Bali broadcast area is influenced by signal propagation which is parameterized by parameters C / N (or S / N), Modulation Error Rate (MER), Bit Error Rate (BER) by measuring at the test point or location of the test point/test measurement which is the outermost limit of the service area under the Minister of Communication and Information no 23 / PER / M.KOMINFO / 11/2011. So this research can be produced a map of the quality of broadcasting services in Bali which can be used as an indicator to avoid Bali from blank spot areas that can be recommended for Digital TV operators in Bali for repeater installation planning.
Real-Time Web-Based Ship Collision Risk Detection Using AIS Data and Collision Risk Index (CRI) Asana, I Made Dwi Putra; Widyantara, I Made Oka; Linawati, Linawati; Wiharta, Dewa Made; Wikananda, I Gusti Ngurah Satya
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15106

Abstract

The high density of maritime traffic in Indonesian waters, particularly in the Lombok Strait and Nusa Penida region, increases the risk of ship collisions, especially among vessels lacking adequate navigation systems. This study presents the development of a web-based system for real-time ship monitoring and collision risk assessment using Automatic Identification System (AIS) data. The system integrates a backend powered by FastAPI and MongoDB with a frontend built using React JS. AIS data is collected from a base station and processed to detect ship encounters using the DBSCAN clustering algorithm combined with Haversine distance to identify encounter detection. The risk assessment applies the Collision Risk Index (CRI) method by calculating DCPA (Distance to Closest Point of Approach) and TCPA (Time to Closest Point of Approach), allowing for graded risk categorization. Real-time risk notifications are delivered via WebSocket, and the interface includes interactive maps, ship detail views, and maritime weather information from the BMKG API. The system achieved high responsiveness, with an average detection time of 0.0075 seconds per ship and an end-to-end response time of approximately 61 milliseconds. Functional and usability tests show that the system effectively supports early detection of collision risks and improves maritime situational awareness. The proposed solution is scalable and applicable for maritime safety monitoring in busy sea routes, contributing to safer navigation and proactive decision-making.
Evaluasi SIMRS pada Manajemen Sumber Daya Manusia dengan Framework COBIT 5 Prabawa, I Nyoman Angga; Widyantara, I Made Oka; Sudarma, Made
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 3: Juni 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022934749

Abstract

Salah satu prasyarat terhadap standar sebuah rumah sakit di Indonesia, termasuk di Rumah Sakit Umum Daerah (RSUD) Klungkung adalah adanya penggunaan Sistem Informasi Manajemen Rumah Sakit (SIMRS). Disamping itu, sumber daya manusia (SDM) adalah salah satu faktor yang memiliki peran penting dalam keberhasilan penerapan SIMRS. Dua pernyataan tersebut menjadi sasaran program bagi RSUD Klungkung yang berkeinginan untuk meningkatkan pemanfaatan teknologi dan SIMRS, serta kuantitas dan kualitas SDM RS. Untuk itu, dibutuhkan evaluasi pada setiap pihak yang terlibat dalam penerapan SIMRS di RSUD Klungkung. Selain untuk mengukur sejauh mana penerapan SIMRS yang telah berjalan, evaluasi ini juga bertujuan untuk melihat seberapa baik SDM yang terlibat di dalamnya telah dikelola. Proses evaluasi dilaksanakan dengan mengacu pada kerangka kerja Control Objectives for Information and Related Technology versi 5 (COBIT 5) pada sub domain proses Align, Plan, and Organise 07 (APO07), yakni Manage Human Resources. Metode pengukuran dan proses analisa penelitian didasarkan pada penilaian kuesioner setiap responden yang memiliki keterlibatan dalam penerapan SIMRS. Hasil penelitian menunjukkan bahwa penerapan SIMRS terhadap manajemen SDM berada pada tingkat kapabilitas 1 dengan nilai sebesar 74%. Analisa kesenjangan terhadap tingkat kapabilitas harapan yang berada pada tingkat kapabilitas 3 menghasilkan usulan rekomendasi perbaikan guna menyusun rencana strategis manajemen SDM serta meningkatkan pemanfaatan layanan SIMRS dan Teknologi Informasi (TI). AbstractHospital Management Information System (SIMRS) is one of the requirements for the hospital’s standards in Indonesia, including at the Regional Public Hospital (RSUD) of Klungkung. Additionally, human resources (HR) have the main role in SIMRS's successful implementation. The statements become the RSUD Klungkung targets to improve technology and SIMRS uses, also the quantity and quality of human resources. The SIMRS evaluation is needed for each party involved in its implementation. It is carried out to measure the SIMRS implements and to ensure human resources involved have been well managed. The evaluation process is measured using Control Objectives for Information and Related Technology 5th version (COBIT 5) framework within the sub domain process Align, Plan, and Organise 07 (APO07), namely Manage Human Resources. The analysis is based on an assessment of each respondent’s questionnaire who involved in the SIMRS implementation. The result shows that SIMRS implementation towards human resources management is at capability level 1 with a value of about 74%. Gap analysis of expected capabilities at capability level 3 provides recommendation improvements in order to increase the strategic plan for SDM management as well as SIMRS and Information Technology (IT) service.
Implementasi Aplikasi Mobile Augmented Reality Untuk Pengenalan Materi Bangun Ruang Widyantara, I Made Oka; Wiharta, Dewa Made; Widiadnyana, Putu
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 2: April 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022925032

Abstract

Proses interaksi pembelajaran yang awalnya tatap muka sekarang beralih ke daring karena adanya pandemi COVID-19. Selama proses pembelajaran daring, siswa mengalami kesulitan dalam memahami konsep dan mengembangkan konsep sampai refleksi. Penelitian ini memiliki tujuan yaitu mengembangkan dan menerapkan media pembelajaran yang dapat menarik minat siswa dan membantu pemahaman materi bangun ruang. Pengembangan media pembelajaran menggunakan teknologi augmented reality sebagai aplikasi mobile untuk memvisualisasikan materi bangun ruang dalam bentuk 3D yang diproyeksikan pada smartphone. Model waterfall dipilih sebagai acuan dalam pengembangan aplikasi. Penerapan aplikasi augmented reality dalam pembelajaran daring menggunakan strategi REACT untuk memaksimalkan penggunaan aplikasi. Hasil penelitian ini yaitu aplikasi berbasis Android dengan menggunakan model waterfall dengan hasil valid melalui uji black box, hasil penilaian kuesioner untuk penggunaan aplikasi mendapatkan rata-rata 82.44% dengan indikator kategori ”Baik”. AbstractThe learning interaction process that was originally face-to-face is now turning online due to the COVID-19 pandemic. During the online learning process, students have difficulty in understanding concepts and developing concepts until reflection. This research aims to develop and implement learning media that can attract students and help them understand the material of solid figures. The development of learning media uses augmented reality technology as a mobile application to visualize solid figure materials in 3D projected on smartphones. The waterfall model was chosen as a reference in application development. The adoption of augmented reality applications in online learning uses REACT strategies to maximize application usage. The results of this study are Android-based applications using waterfall models with valid results through black-box tests, questionnaire assessment results for application usage get an average of 82.44% with the category indicator "Good" 
Ship Trajectory Prediction Based on Spatial-temporal Data Using Long Short-Term Memory Setiawan, Widyadi; Linawati, Linawati; Widyantara, I Made Oka; Wiharta, Dewa Made; Asri, Sri Andriati; Pawana, I Wayan Adi Juliawan
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.3353

Abstract

The frequent exploitation of shipping lines by passengers increased traffic and exposed it to more significant dangers. Precise predictions for ship trajectory conditions at sea must be available to ensure safe navigation across the oceans. This article presents a trajectory prediction approach based on Long Short-Term Memory (LSTM) neural networks applied to time series Automatic Identification System (AIS) position data, expressed in spatial-temporal form. LSTM is highly suitable for ship trajectory predictions as it can capture long-term dependencies and spatial-temporal patterns existing in AIS data, since LSTM is targeted toward sequential data. The proposed model extracts ship trajectories from AIS data and utilizes an LSTM (Long Short-Term Memory) model to predict future ship movements based on historical patterns. The experiments demonstrate that it is effective in predicting where ships to navigate next, providing a valuable tool for enhancing traffic flow and improving navigation safety. The model with LSTM unit 500, tested on 3,478 ship trajectories, showed a median RMSE prediction error ranging from 0.0720 to 0.0841, with prediction M=8 coordinate a head having the highest error (0.0841) and M=2 and M=9 having the lowest (0.0720); the interquartile range (IQR) spanned from 0.0571 to 0.1006, and M=2 had the most outliers (302) while M=8 had the fewest (171), indicating varying prediction stability across different points. Despite these results, challenges remain in maintaining prediction stability across all points. Further optimization could enhance the model's performance and address these limitations by incorporating more complex spatial-temporal features or hybrid techniques.
Bibliometric Analysis of AI-Based Prototype Proposal for User Security Awareness in Healthcare Pratama, I Putu Agus Eka; Widyantara, I Made Oka; Linawati, Linawati; Gunantara, Nyoman
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.3319

Abstract

In the realm of public healthcare, integrating information technology (IT) must be judiciously balanced with heightened security awareness among users, given the escalating frequency of cyberattacks targeting this sector. Despite the availability of various product and service solutions aimed at enhancing user security awareness, these efforts have yet to yield optimal outcomes. There is a pressing need for innovative approaches to bolster healthcare user security awareness through IT, particularly leveraging the rapidly advancing field of artificial intelligence (AI). This study conducts a comprehensive review of prior research on the application of AI, specifically Large Language Models (LLM), within the domain of healthcare cybersecurity from 2014 to 2024. The objective is to ascertain the volume of publications, trace the evolution of publication trends, and assess the potential and positioning of research in this area. Employing a bibliometric analysis methodology, this study analyzes a dataset comprising 1000 related publications indexed by Google Scholar. The findings reveal that publications concerning applying LLM AI in healthcare cybersecurity constituted 12.82% in 2023, with a significant increase to 87.18% in 2024, representing a 6.8-fold rise. The mapping of publication developments is categorized into 24 clusters, with large language models, healthcare, retrieval-augmented generation, LLM, artificial intelligence, and cybersecurity emerging as the six most frequently discussed keywords in the research landscape. Consequently, this study underscores the substantial potential for current and future research on the application of AI in healthcare cybersecurity, advocating for the development of AI-based solutions to enhance healthcare user security awareness.
Gamification Project-Based E-learning in Character Education: A Study in Senior High School Merliana, Ni Putu Eka; Widyantara, I Made Oka; Wirastuti, Ni Made Ary Esta Dewi; Saputra, Komang Oka; Setyohadi, Djoko Budiyanto
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.4033

Abstract

E-learning in education faces challenges in improving students' engagement, specifically regarding character education effectiveness. Gamification is among the strategies that can be applied to increase student engagement in the project-based learning process. Therefore, this study aimed to develop a Gamification Framework for Project-Based E-learning in Character Education (GaPolCE) as an innovative solution to improve engagement and character education at the senior high school level. A quantitative study was carried out using a quasi-experimental method, where data collection was carried out through a pre-post test and log data analysis to measure the effectiveness of gamification in achieving character education and student engagement. The results showed that the implementation of GaPolCE improved aspects of character education measured using the N-Gain score, where moral knowledge was in the high category (0.70) while moral feeling (0.49) and moral action (0.51) were in the moderate category. Student engagement increased significantly by 67%, 8%, and 25% for behavioral, emotional, and cognitive engagement. However, the effectiveness of in-depth character formation requires long-term evaluation. In addition, the assessment of the application of gamification in project learning for character education is still done manually, thus increasing teachers' workload. In this regard, further research is needed with a longitudinal approach to ensure the sustainability of its influence. In addition, it is necessary to develop an automatic assessment system based on artificial intelligence to increase the efficiency of character education evaluation. 
OPTIMALISASI DETEKSI WAJAH DLIB-HOG PADA CITRA INTENSITAS RENDAH DENGAN PREPROCESSING CLAHE David Clemens Sumampouw; Prahasta Napolado Damanik; Feliks Sinaga; I Made Oka Widyantara; Ngurah Indra ER
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.p25

Abstract

Face decection using Dlib-HOG offers high performance under ideal lighting condition but significantly degrades when applied to low-light images. This study evaluates the effectiveness of Contrast Limited Adaptive Histogram Equalization (CLAHE) as a preprocessing method to enhance face detection accuracy under poor lighting conditions. CLAHE is applied to grayscale images to improve local contrast without introducing excessive artifacts, thereby making facial features more distinguishable for the HOG-based algorithm. Experiments were conducted on a facial image dataset with varied lighting conditions, comparing detection results before and after preprocessing. The results show a notable improvement in detection accuracy from 85.7% to 96.4% and a reduction in false negatives, with only a minimal increase in processing time. These findings confirm that CLAHE is an efficient and lightweight enhancement technique for improving the performance of Dlib-HOG on low-quality images.
Semantic Ontologi Sebagai Solusi Potensial untuk Meningkatkan Interoperabilitas Data Rahmi Nur Shofa; I Made Oka Widyantara
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Digital transformation requires a modern management information system (MIS) to integrate data originating from various subsystems with heterogeneous formats, terminology and structure. Conventional schema mapping and extraction-transformation-load (ETL) based approaches are often incapable of addressing these challenges semantically. Semantic Ontologies offer conceptualization solutions that support interoperability and enable automated reasoning. This article presents a comprehensive understanding of the current literature on the application of semantic ontologies to information systems, highlighting the main contributions and limitations of previous research. The results show that most research still focuses on specific domains (culture, education, business), while semantic transmission across enterprise subsystems, ontology evolution issues, and performance evaluation measures are still rarely researched. Based on this mix, this research offers a semantic ontology framework designed for holistic data representation in integrated MIS, with the emphasis of ontology development across subsystems (ERP, CRM, SCM, HRIS), as well as performance evaluation measured in the aspects of interoperability, reasoning and query efficiency. It is hoped that this information contribution can strengthen the destruction of management systems while increasing the organization's adaptability to digital business dynamics.
Penerapan AI untuk Sistem HVAC Bangunan Pintar: Integrasi Prediksi Spasio-Temporal, MARL, dan Contrastive Learning Putu Bagus Adidyana Anugrah Putra; I Made Oka Widyantara
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The building sector accounts for over 40% of global energy consumption, with Heating, Ventilation, and Air Conditioning (HVAC) systems responsible for nearly 60% of this share. Improving HVAC efficiency while maintaining occupant comfort has therefore become a critical challenge for smart building management. Conventional control strategies, such as rule-based methods and Model Predictive Control (MPC), often fall short when dealing with dynamic, multi-zone environments. In response, recent advances in Artificial Intelligence (AI) have introduced new directions for HVAC prediction and control. This review systematically analyzes 15 recent studies (2023-2025), classified into three main categories: (i) Graph-SpatioTemporal Prediction (C1), focusing on graph neural networks combined with temporal modules for predicting temperature, CO?, occupancy, and energy demand; (ii) Multi-Agent Reinforcement Learning (C2), enabling adaptive and decentralized HVAC control across multiple zones and subsystems; and (iii) Representation & Contrastive Learning (C3), which enhances time-series representation to improve data efficiency and generalization. The synthesis highlights key achievements: high prediction accuracy from graph-temporal models, up to 40% energy savings using MARL, and improved robustness through contrastive learning. However, gaps remain, including the limited adoption of multi-task prediction, insufficient exploration of curriculum learning and policy distillation in MARL, and minimal integration of contrastive learning into HVAC applications. Looking ahead, the review outlines a 5-10 year roadmap, emphasizing hybrid multi-task models, curriculum MARL, contrastive-RL integration, cross-building transferability, federated learning, and the vision of autonomous, self-evolving HVAC systems. By providing a comprehensive mapping of the state of the art and future opportunities, this review aims to guide researchers and practitioners toward developing AI-based HVAC solutions that are more efficient, adaptive, and occupant-centered.
Co-Authors A. T. A Prawira Kusuma A.A. Made Agung Istri Iswari Aditya Dwipayana Aditya Widhiatama, Ngakan Putu Agus Anwar Eka Wahyudi Anak Agung Ayu Putri Ardyanti Anang Kusnadi Andi Nur Rachman Aniek Laksmidewi Arda Narendra, I Gusti Lanang Asana, I Made Dwi Putra Atmaja, Ketut Jaya Ayuni Harianti Bagus D. Cahyono Cecep Muhamad Sidik Ramdani Christanto Nadeak, Yobel Cokis Ratih Kumbara David Clemens Sumampouw Derry Suia Pathentantama Desak Ayu Sista Dewi Dessy Hariyanti, NK Dewa Ayu Indah Cahya Dewi Dewa Made Sri Arsa, Dewa Made Dewa Made Wiharta Edo Halim Saputra Fajar Purnama Feliks Sinaga Gamantyo Hendrantoro Gede Manuaba, Ida Bagus Gede Sukadarmika Haris Chandra Agustina I Dewa Gede Hardi Rastama I G. A. K. Diafari Djuni Hartawan I G.A.K. Warmayana I Gede Iwan Sudipa I Gede Sudiantara I Gede Sudiantara I Gusti Agus Adek Putra Ardiwinata I Gusti Ayu Garnita Darma Putri I Gusti Nyoman Dharmayana I Gusti Rai Agung Sugiartha I Kadek Adi Wiguna Sanjaya I Kadek Noppi Adi Jaya I Komang Adi Bayu Adnyana I Made Aditya Virgiawan I Made Arsa Suyadnya I Made Bayu Dibawan I Made Dhanan Pradipta I Made Dwi Putra Asana I Made Rai Putera Yasa I Made Sukarsa I Made Yudi Candra Putra I Nyoman Gede Arya Astawa I Nyoman Gunantara I Nyoman Suada I Putu Agus Eka Pratama I Putu Ardana I Putu Gd Sukenada Andisana I Putu Noven Hartawan I Wayan Kayun Wardana I Wayan Shandyasa I Wayan Shandyasa I.A Laksmi IBGD. Dhyaksa Ida Bagus A. Swamardika Ida Bagus Gede Manuaba Ida Bagus Putu Adnyana Ida Bagus Putu Adnyana Indra Dwi Cahya Setyawan Janice Jessica Indrayani Jayantari, Made Widya Juliawan Pawana, I Wayan Adi Kadek Dwi Mahardika Adnyana Kadek Surya Adi Saputra Kamarudin, Nur Diyana Ketut Bagus Bayu Sanjaya Komang Ery Rusdiana Komang Gede Widi Adnyana Komang Kompyang Agus Subrata Komang Oka Saputra Komang Tri Wahyuni . L Linawati L.D. Purnamasari Linawati Linawati Linawati Linawati linawati linawati Linawati Linawati Lintin, Yosep Tara M Acarya Mordekhai Karang M Zatiar Erwan Kalam M. Azman Maricar made andyka Made Arya Putra Kusuma Made Sudarma Made Sudarma Merliana, Ni Putu Eka Muhammad Audy Bazly N Utami Wedanti N. M. A. E. Dewi Wirastuti N.M.A.E.D Wirastuti Ngurah Indra ER Ni Komang Ayu Suandaniasih Ni Made Ary Esta Dewi Wirastuti Ni Putu Widya Yuniari NMAED Wirastuti Nyoman Pramaita Nyoman Pramaita Nyoman Putra Sastra Oka, I Dewa Gede Ari P. A. Satya Prabhawa Pawana P., I Gusti Ngurah Agung Pawana, I Wayan Adi Juliawan Prabawa, I Nyoman Angga Pradnyana, I Made Prahasta Napolado Damanik Putra, Putu Bagus Adidyana Anugrah Putri Alit Widyastuti Santiary Putu Agus Pradnyana Jaya Putu Arya Mertasana Putu Krisna Adi, I Gusti Ngurah Putu Prima Winangun Putu Sintia Susiani Pande R. Sapto Hendri Boedi Soesatyo Rahmi Nur Shofa Rukmi Sari Hartati Sandhiyasa, I Made Subrata Santi Ika Murpratiwi Saputra, Komang Oka Setyohadi, Djoko Budiyanto Sri Andriati Asri, Sri Andriati Susila, Anak Agung Ngurah Hary Tri Febriana Handayani W. Setiawan Widiadnyana, Putu Widyadi Setiawan Widyanto, I Putu Wikananda, I Gusti Ngurah Satya Wirawan Wirawan