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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Ilmu Komputer Buletin Udayana Mengabdi Jurnal SPEKTRUM Majalah Ilmiah Teknologi Elektro 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 Jurnal Ilmiah Vastuwidya Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Majalah Ilmiah Teknologi Elektro
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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Journal : JOIV : International Journal on Informatics Visualization

 1 
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.
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. 
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 Aniek Laksmidewi Arda Narendra, I Gusti Lanang Asana, I Made Dwi Putra Atmaja, Ketut Jaya Ayuni Harianti Bagus D. Cahyono Christanto Nadeak, Yobel Cokis Ratih Kumbara 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 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 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 Putu Adnyana Ida Bagus Putu Adnyana Indra Dwi Cahya Setyawan Janice Jessica Indrayani Jayantari, Made Widya Juliawan Pawana, I Wayan Adi 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 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 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 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