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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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Prediksi Pendapatan Penjualan Menggunakan Metode Double Exponential Smoothing Pada Toko Retail XYZ I Gede Sudiantara; I Made Oka Widyantara; I Gede Iwan Sudipa; I Gusti Agus Adek Putra Ardiwinata
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Revenue is a key indicator in determining a company's financial success, both for identifying potential profits and losses. This predictive model is designed to assist management in developing strategies to increase product sales. Accurate forecasting can provide early warnings regarding the actions store management needs to take. This study employs the Double Exponential Smoothing Brown method with a smoothing parameter alpha (?) of 0.5. The analysis results indicate that the Mean Absolute Percentage Error (MAPE) values range from 0.26% to 4.29%, demonstrating a high level of accuracy. Based on these MAPE results, the predictive model is then implemented into a web-based system. This system allows management to access information anytime and anywhere. Therefore, this prediction system is expected to assist the store in making strategic decisions, particularly in managing and increasing future revenues
Mapping Review Penerapan Artificial Intelligence pada Cyber Security untuk Meningkatkan Security Awareness I Putu Agus Eka Pratama; I Made Oka Widyantara; Linawati; Nyoman Gunantara
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The rapid development of information technology (IT), on the one hand, has the potential to increase the number of cyber attacks, so cyber security needs to be handled properly. As the weakest element, efforts are needed to increase cyber security awareness on the user side. Artificial intelligence (AI), which is increasingly developing and widely applied in various fields of life, has the potential to be used to increase security awareness in users. To study this further, a literature study, review, and mapping analysis were conducted from a number of references in order to obtain an overview of the potential and future research plans related to the use of AI in cyber security for security awareness along with providing recommendations. This study conducted a study and analysis using the mapping review method on 37 selected papers indexed by Google Scholar, referring to the NIST (National Institute of Standards and Technology) framework. The results of the mapping review show that the mapping of publications related to the application of AI to cyber security to increase security awareness is the most in 2024, with the most trends being education/training, and the most widely used AI method is deep learning. This study recommends education and deep learning as areas that can be taken for future research related to the application of AI to cyber security.
Implementasi Algoritma ECLAT dalam Menemukan Pola Asosiasi Antar Produk Pada Perusahaan Retail I Made Dwi Putra Asana; Ni Komang Ayu Suandaniasih; I Made Oka Widyantara; Ketut Jaya Atmaja; I Putu Noven Hartawan
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Toko XYZ, a retail company in Denpasar, faces challenges in managing its product stock due to the lack of utilization of consumer purchasing patterns in product placement and inventory management. As a result, products that are frequently bought together by customers often run out of stock, leading to potential sales declines. To address this issue, a purchasing pattern analysis was conducted using the association rules method with the ECLAT algorithm. The analysis was performed using Visual Studio Code with Python programming language to identify frequent 1-itemsets and frequent 2-itemsets, which represent products frequently purchased individually or in combination by customers. The analysis results show that lower minimum support values result in more frequent item sets being identified while increasing the minimum confidence, which narrows the number of generated association rules. At a minimum support of 0.05, 2463 rules were identified, whereas at a minimum support of 0.20, the number of rules decreased to 117. Higher minimum confidence, set at 60%, produced more relevant and reliable rules, demonstrating the potential of the ECLAT algorithm in aiding inventory management and optimizing product placement at Toko XYZ.
Pengembangan Game Edukasi Pengenalan Hutan Bakau Mangrove Ngurah Rai Berbasis Android Kadek Surya Adi Saputra; I Made Oka Widyantara
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Mangrove forests in Ngurah Rai have a very important ecological role, but public awareness of their existence and benefits is still low. This research aims to develop an android-based educational game that introduces mangrove forests to the community, especially the younger generation and tourists. The method used in this educational game application is waterfall or called system development life cycle (SDLC). This application testing stage uses the white box testing method with the base path technique of calculating the number of scenarios carried out by the user and black box testing for application functionality testing. It is hoped that this educational game can be an interesting tool to support environmental conservation efforts and increase community involvement in mangrove forest conservation and also contribute to the development of innovative learning media that integrate technology and environmental education
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.
Improved SVM Classification Using Particle Swarm Optimization for Student Completion Prediction System Asana, I Made Dwi Putra; Oka, I Dewa Gede Ari; Widyantara, I Made Oka; Sandhiyasa, I Made Subrata
JUITA: Jurnal Informatika JUITA Vol. 12 No. 2, November 2024
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v12i2.21990

Abstract

Timely completion of a study program is crucial for evaluating the quality of universities. To achieve timely completion, student’s progress needs to be monitored early in order to ensure that they can complete the given task on time. This process is particularly important because universities often enroll thousands of students, thereby making individual supervision impractical. An effective solution to this problem is leveraging machine learning to develop a system that predicts whether student will complete the study without delay. Therefore, this study used Support Vector Machine (SVM) method for classification, with RBF kernel. Optimization of SVM classification was achieved by ensuring the values for Soft Margin C parameter and kernel parameter were correct. In addition, Particle Swarm Optimization (PSO) method was used to determine the optimal SVM parameter values. Consequently, the resulting model was evaluated using Cross Fold Validation. The optimized SVM parameter identified through PSO were gamma of 0.0085 and C of 0.4196. The average training accuracy recorded is 82.58%, with 81.22% validation, these results can be categorized into Good Classification. Finally, the application of PSO in optimization resulted in SVM models that avoided overfitting, as shown by the closeness of training and validation values.
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.
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