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Sistem Informasi Geografis Stasiun Pemantauan Spektrum Frekuensi Radio Di Wilayah Bali I Nyoman Suada; I Made Oka Widyantara
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

The Radio Frequency Spectrum Monitoring Center Denpasar must carry out observation and monitoring. In carrying out this monitoring, there are eight fixed and transportable monitoring stations that have been placed in several locations in the Bali Province to carry out monitoring. However, given the scattered distribution of Radio Station Licenses across various locations in cities/regencies in the province of Bali, there are blind spots where some Radio Station Licenses are not covered by fixed and transportable stations. This will affect the achievement of the observation and monitoring performance agreement targets of the Radio Frequency Spectrum Monitoring Center. In practice, observations and monitoring must be carried out in uncovered locations using mobile or portable monitoring devices. The selection of monitoring locations is based on the distribution of ISRs, the coverage radius of monitoring points, and the conditions and contours of the area. This ensures that these locations are effective and efficient in providing optimal results, especially in achieving the observation and monitoring performance agreement targets. The analysis method utilizes the QGIS application, where optimal locations are identified based on the visual representation of locations in Google Earth, the locations of fixed and transportable stations, and the distribution of Radio Station Licenses, which are then visualized in the QGIS application. Based on the results of the analysis and visualization, it was found that the percentage of performance agreement achievement or the number of radio station licenses monitored at the monitoring location was achieved. The nine cities/regencies in Bali Province have the following achievement percentages: Badung 99%, Tabanan 85%, Klungkung 100%, Gianyar 99%, Karangasem 85%, Denpasar 100%, Bangli 100%, Jembrana 86%, and Buleleng 89%.
Perancangan Rating Tool untuk Evaluasi Green IT di Perguruan Tinggi Cecep Muhamad Sidik Ramdani; I Made Oka Widyantara
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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Sustainability issues in information technology are gaining increasing attention as energy consumption, carbon emissions, and environmental impacts from the use of software and digital infrastructure increase. This research aims to develop a Green IT evaluation framework based on a rating tool that is integrated with the principles of the Green Software Foundation (GSF) and COBIT 2019 as an IT governance framework. This approach combines the basic principles of sustainable software evaluation, such as carbon efficiency, energy efficiency, hardware efficiency, networking efficiency, and holistic lifecycle evaluation, with relevant COBIT 2019 objectives, such as resource optimization, managing enterprise architecture, managing quality, and monitoring performance. The results of this integration form an Environmentally Sustainable Computing (ESC) framework that covers four main dimensions: design, deployment, monitoring & refactoring, and governance & policy. Each dimension has assessment indicators with a maturity level scale of 0–5, so it can be used as an evaluation tool for the level of IT sustainability in higher education. This research is expected to be able to provide conceptual and practical contributions in the development of a Green IT rating tool that is applicable in the academic environment.
Systematic Literature Review: Kecerdasan Buatan untuk Penilaian Kualitas Telur secara Non-Destruktif Andi Nur Rachman; I Made Oka Widyantara
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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Systematic Literature Review (SLR) is a structured research approach used to map scientific developments, identify research gaps, and provide evidence-based knowledge synthesis. This study aims to systematically review the literature on the application of machine vision, artificial intelligence (AI), and deep learning in egg quality detection, with a particular focus on duck eggs as the research object. Egg quality assessment is crucial in the poultry industry, both to determine suitability for consumption and to ensure successful hatching. However, manual inspection methods are still widely applied, which often result in inaccuracies and inconsistencies. Using the PRISMA methodology, a total of 120 articles published between 2015–2024 were initially identified, of which 45 were selected as relevant studies after screening and eligibility checks. The review results indicate a significant increase in detection accuracy, shifting from conventional image-processing techniques to advanced algorithms such as CNN, ResNet-50, and YOLOv8, achieving accuracies above 94%. Major challenges remain, including the lack of publicly available datasets, risks of overfitting, and limited real-world implementation. This study concludes that future research directions should focus on the integration of lightweight IoT-based systems, standardized duck egg datasets, and hybrid methods (image–spectroscopy) to improve accuracy, robustness, and practical adoption of egg quality detection systems.
Integrasi Data Science dan AI untuk Optimalisasi Layanan Pemerintahan: Literatur Review Kadek Dwi Mahardika Adnyana; I Made Oka Widyantara; NMAED Wirastuti; Ida Bagus Gede Manuaba
Prosiding SISFOTEK Vol 9 No 1 (2025): SISFOTEK IX 2025
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Indonesia’s digital government agenda establishes a policy backbone for data-driven and AI-enabled public services through the national Electronic-Based Government System (SPBE) and the One Data policy, while the Personal Data Protection Law (PDP) frames privacy-by-design obligations for public institutions. Building on international guidance (OECD’s G7 Toolkit; World Bank’s GovTech Maturity Index), this review synthesizes how Data Science (DS)—via reliable feature engineering and descriptive–predictive analytics—can be aligned with Artificial Intelligence (AI) for automation and decision support under public-sector accountability requirements. We identify recurrent enablers (interoperable data architecture, data governance, civil service capabilities, and MLOps) and barriers (data silos, legacy constraints, skills gaps, and explainability/ethics demands), and propose evaluation indicators that link model performance to service performance: service latency reduction, service quality, model fairness, and explainability. The contribution is a systems view that connects SPBE/Satu Data/PDP compliance to DS–AI operations across the lifecycle (governance ? pipeline/feature store ? training/validation ? deployment ? MLOps & audit), and a graduate-level research agenda on causal impact and federated collaboration across agencies.
Enhancing AI-driven Cybersecurity Awareness Smart Consultant using RAG Method with Hybrid Knowledge Based Pratama, I Putu Agus Eka; Widyantara, I Made Oka; Linawati, Linawati; Gunantara, Nyoman
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

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The rapid advancement of Artificial Intelligence (AI), particularly in the realm of Large Language Model (LLM), holds significant potential for addressing the escalating issue of cyberattacks that exploit users' insufficient cybersecurity awareness. This study involves the design and development of a prototype cybersecurity awareness smart consultant, leveraging AI through the Retrieval Augmented Generation (RAG) method. This approach integrates hybrid knowledge derived from both user-specific internal cybersecurity documents and internet resources, thereby enhancing the validity of system responses and mitigating the risk of hallucinations. The prototype was evaluated using the Answer Accuracy Score (AAS) method, based on Black Box Testing and human evaluation, across four cybersecurity-related questions, yielding an average score of 0.925, accompanied by comprehensive analysis and discussion. The findings indicate that the system's response accuracy improves when knowledge is synthesized from both internal document resources and internet sources. Future research may focus on incorporating deliberative thinking to further enhance system performance in generating responses.
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