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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) Bulletin of Electrical Engineering and Informatics PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic PROSIDING CSGTEIS 2013 Jurnal Teknologi Informasi dan Ilmu Komputer 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 International Journal of Advances in Data and Information Systems Jurnal Ilmiah Vastuwidya Jurnal Locus Penelitian dan Pengabdian 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
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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): 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

Abstract

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.
Analisa SWOT-AHP untuk Penentuan Strategi Pembelajaran Proyek dalam Pengembangan Pendidikan Karakter pada Sekolah Menengah Atas di Kabupaten Kapuas Merliana, Ni Putu Eka; Widyantara, I Made Oka; Wirastuti, Ni Made Ary Esta Dewi; Saputra, Komang Oka; Widyanto, I Putu
Cetta: Jurnal Ilmu Pendidikan Vol 8 No 1 (2025)
Publisher : Jayapangus Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37329/cetta.v8i1.3771

Abstract

The project-based learning model is one of the strategies used to increase student engagement and motivation, especially in supporting the development of character education. However, in its application, project learning faces challenges such as taking a long time, causing students to feel bored, and not all students are fully and evenly active in the learning process. This has an impact on the non-achievement of learning objectives in the development of character education. This study aims to identify the factors needed to improve the quality of project learning implementation for character education development. The strategy analysis used in the study uses external as well as internal factors analysis with SWOT and AHP (Analytic Hierarchy Process). The method used in this study is a mixed method with an exploratory sequential design, which collects data qualitatively, namely through interviews and observations, which are then followed by quantitative analysis by distributing questionnaires to respondents. The results show that internal factors, namely innovative and digitalized school management, are the main strengths in implementing project learning for character education development. On the other hand, external factors show significant opportunities for driving schools to support this learning while considering external threats. The top priority strategy recommended in character education development is to utilize technology for innovative learning that increases student engagement. This strategy aims to provide space for students to make progress in cognitive, affective and psychomotor aspects. The main focus in project learning is to ensure students are actively engaged, so an innovative, technology-based approach is needed that allows students to explore, think critically and develop themselves.
PENINGKATAN AKURASI DETEKSI GARIS PANTAI MENGGUNAKAN PARTICLE SWARM OPTIMIZATION (PSO) DAN OPERASI MORFOLOGI DILASI Pawana P., I Gusti Ngurah Agung; Widyantara, I Made Oka; Sudarma, Made; Wiharta, Dewa Made; Jayantari, Made Widya
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 22 No. 1 (2025): Edisi Januari 2025
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptkundiksha.v22i1.92783

Abstract

Deteksi garis pantai menggunakan citra video semakin populer dalam pemantauan wilayah pesisir secara real-time. Citra video menangkap perubahan garis pantai secara dinamis, namun menghadapi tantangan seperti gangguan ombak, pencahayaan, dan objek non-pantai. Diperlukan metode yang lebih adaptif untuk meningkatkan akurasi deteksi. Penelitian ini bertujuan meningkatkan akurasi deteksi garis pantai dengan mengombinasikan Particle Swarm Optimization (PSO) dan operasi morfologi dilasi. PSO digunakan untuk optimasi segmentasi, sementara operasi morfologi dilasi memperjelas garis tepi dan mengurangi noise. Dataset berupa video pantai dikonversi menjadi citra statis menggunakan metode Timex, lalu dikoreksi dengan georektifikasi dan kalibrasi kamera. Tahapan utama meliputi pre-processing, segmentasi dengan PSO, serta post-segmentasi menggunakan operasi morfologi dilasi. Evaluasi menggunakan metrik PSNR, SSIM, FSIM, dan CWSSIM. Hasil penelitian menunjukkan peningkatan akurasi deteksi secara signifikan. Segmentasi berbasis PSO memisahkan daratan dan perairan dengan lebih baik, sedangkan operasi morfologi dilasi memperkuat kontinuitas garis pantai dan mengurangi noise. Peningkatan nilai evaluasi meliputi PSNR 15,87%, SSIM 9,11%, FSIM 1,20%, dan CWSSIM 2,47%, terutama dalam kondisi pencahayaan sore hari. Dengan demikian, metode ini efektif dalam deteksi garis pantai dan direkomendasikan untuk pemantauan berbasis citra video.
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

Abstract

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

Abstract

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.
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.
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 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 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 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 Made Ary Esta Dewi Wirastuti Ni Putu Eka Merliana Ni Putu Widya Yuniari NMAED Wirastuti Nyoman Pramaita Nyoman Pramaita Nyoman Putra Sastra 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 Santi Ika Murpratiwi Saputra, Komang Oka Setyohadi, Djoko Budiyanto Sri Andriati Asri 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