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Journal : JOIV : International Journal on Informatics Visualization

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.
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

Abstract

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.
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 gung eka paramarta 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 Oka Widyantara I Nyoman Gede Arya Astawa I Nyoman Setiawan I Putu Diva Suryawan I Putu Eka Giri Setya Kresnadi Putra 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 MHD. Reza M.I. Pulungan Ngurah Agus Sanjaya ER Ngurah Indra ER Ni Made Ary Esta Dewi Wirastuti Nugraha, I Putu Elba Duta 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 FEBY PRADIPTA Putu Ratih Devyanti Ridho Yurham Rukmi Sari Hartati S.G.Y.P. Putra Saputra, Deva Dimastawan Setiawan, Putu Ayu Citra Wayan Gede Ariastina Widyadi Setiawan Willy Susanto Yoel Sthefianus Yoga Divayana Yoga, I Putu Sudharma Yohanes Yohanes