1 10 5 https://repository.horizon.ac.id/files/original/a4788457bb5f6e94befce770e45aacce.pdf f0dbf496e765b3e641306f43d9ac2af2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 18 NO. 3 2025 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Securing IoT-Cloud Applications with AQ-KGMO-DMG Enhanced SVM for Intrusion Detection Subject The topic of the resource cyber-attacks; intrusion detection; internet of things; quantum-inspired KGMO with dynamic molecular grouping (AQ-KGMO-DMG); support vector machines (SVM) Description An account of the resource In contemporary society, the Internet has evolved into an indispensable facet of daily life, serving myriad functions across various domains. Intrusion detection, as a cornerstone of information security, plays a pivotal role in fortifying networks against potential threats, emphasizing the necessity for robust and reliable methods capable of discerning and mitigating network vulnerabilities effectively. In this work, a pioneering network intrusion detection model is introduced, leveraging Adaptive Quantum-Inspired KGMO with Dynamic Molecular Grouping (AQ-KGMO-DMG) for feature selection and employing Simplified Support Vector Machines (SVM) for the classification of intrusion data. The utilization of the UNSW-NB15 dataset serves as the litmus test for evaluating the efficacy of the developed intrusion detection model. Notably, this approach enhances the accuracy in categorizing classes with minimal instances while concurrently mitigating the false alarm rate (FAR). A notable innovation in this methodology involves the transformation of raw traffic vector data into a visual representation, thereby reducing computational costs significantly. To reduce the computation cost further, the raw traffic vector data is converted into picture format. The experimental findings showed that the proposed model performed better than conventional techniques in terms of FAR, accuracy, and computation cost. Creator An entity primarily responsible for making the resource Konduru Siva Naga Narasimharao & P V Lakshmi Source A related resource from which the described resource is derived DOI : https://doi.org/10.5614/itbj.ict.res.appl.2025.18.3.1 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 16 October 2024 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text cyber-attacks Internet of Things Intrusion detection quantum-inspired KGMO with dynamic molecular grouping (AQ-KGMO-DMG) support vector machines (SVM) https://repository.horizon.ac.id/files/original/acdfbb2bd4e5fd63fdd3fb5461314ceb.pdf de94aaf5a321b0dd29920d8b18ece4a7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 18 NO. 3 2025 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Security of Databases through Anomaly Detection in Structured Workloads Subject The topic of the resource anomaly detection; database security; Isolation Forest; machine learning; MySQL; structured workloads. Description An account of the resource In today’s world, the protection of databases in any global organization has become paramount due to the rapid growth of data and the new generations of cyber threats. This highlights the need for more enhanced security precautions to secure these databases containing sensitive information. One of the most advanced ways of enhancing database security is using an anomaly detection system, especially for structured workloads. Structured workloads typically exhibit predictable patterns of data access and usage, making them susceptible to displaying anomalies that may indicate unauthorized access, data manipulation, or other security breaches. Anomaly detection methods can identify patterns that are unusual, an indication of malicious activity, or a data security breach. The present research utilized the Isolation Forest algorithm to detect outliers in high dimensional data sets. The main contribution and novelty of this research lies in leveraging the Isolation Forest algorithm for structured database workloads to proactively identify and mitigate potential security threats. Our study showed that the proposed model, with an accuracy of 85%, outperformed various state-of-the�art methods. Furthermore, anomaly detection systems powered by advanced algorithms and machine learning enable real-time database activities analysis, addressing challenges like preprocessing, model training and scalability. Creator An entity primarily responsible for making the resource Charanjeet Dadiyala, Faijan Qureshi, Kritika Anil Bhattad, Sourabh Thakur, Nida Tabassum Sharif Sheikh & Kushagra Anil Kumar Singh Source A related resource from which the described resource is derived DOI : https://doi.org/10.5614/itbj.ict.res.appl.2025.18.3.2 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 23 December 2024 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text anomaly detection database security Isolation Forest machine learning MySQL structured workloads. https://repository.horizon.ac.id/files/original/268a61cdf0d29a75e7b74ecc632d5886.pdf 45b62dd2d4de7f7a1e7fd7db59a5b815 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 18 NO. 3 2025 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Performance Enhancement of Video Data Transmission in Vehicular Adhoc Networks Subject The topic of the resource Adhoc On-Demand Vector; end-to-end delay; instantly decodable network coding; inter-sessions; network coding; packet delivery ratio; VANETs. Description An account of the resource The transmission of video frames among vehicles is a crucial global requirement in current road traffic conditions. Video data in vehicles may serve passengers with information as well as entertainment and, crucially, provide the drivers with dynamic information about the traffic conditions on the road ahead, assisting in reaching their destination safely at the earliest convenience using an optimal route. Intelligent Transportation System through its subsystem Vehicular Ad-hoc Networks (VANETs) make these necessities a reality. Inter-sessions carrying video data that exhibit multi-hop scenarios are encountered in the real world when people in a place of emergency communicate with the fire station/doctors/police. In such situations, the earlier the communication can occur, the smaller the damage. This work aimed to reduce the end-to-end delay (EED) experienced in VANETs when unicasting video streams among vehicles involved in inter-sessions by considering the packet delivery ratio (PDR) as a supporting parameter. The technique Network Coding was applied in VANETs and the possible recoder behaviors were simulated. An algorithm – Dynamic Recoder Recommender (DRR) – was designed and implemented to select an appropriate recoder on the fly in a path decided by the Adhoc On-Demand Vector routing protocol. This implementation outperformed the conventional network coding in terms of EED and PDR when applied with random recoders. Creator An entity primarily responsible for making the resource Nandhini Vineeth, H S Guruprasad Source A related resource from which the described resource is derived DOI : https://doi.org/10.5614/itbj.ict.res.appl.2025.18.3.3 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 20 June 2025 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Adhoc On-Demand Vector end-to-end delay instantly decodable network coding inter-sessions network coding packet delivery ratio VANETs. https://repository.horizon.ac.id/files/original/2eccba6431bce07ca1eb07c8981a8b33.pdf a597df31c62d40747536a360e764a317 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 18 NO. 3 2025 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Integrated Model of Emotional Intelligence, Leadership, and Game Playability in Enhancing Team Effectiveness in MMOGs Subject The topic of the resource emotional intelligence; massively multiplayer online games; playability; team effectiveness; transformational leadership Description An account of the resource Massively multiplayer online games (MMOGs) are becoming more and more significant places for people to work together online. Researchers still do not know much about how individual traits affect how teams work together in games. Studies on players and game playability are still in the early stages. This study performed a quantitative analysis of data from 1,038 Chinese online players to investigate the interrelations between emotional intelligence (EI), transformational leadership (TL), team effectiveness (TE), and playability (PB). Drawing on the Input–Process–Output (IPO) model, social identity theory, and user experience theory, the research focused on how individual characteristics shape team outcomes and player experiences. The findings of this study indicate that both EI and TL have a positive impact on TE, which acts as a key mediating variable influencing the impact of both on PB. The findings also show that EI has a stronger link to PB than TL does. Notably, EI demonstrates a stronger association with PB than TL, highlighting its crucial role in enhancing team coordination and overall game enjoyment. This research augments current theories on virtual team collaboration and offers pragmatic guidance for game developers to improve player engagement and team coordination in online settings. Creator An entity primarily responsible for making the resource Xiaoxue.Gong, Lili Nurliyana Abdullah, Azrul Hazri Jantan, Noris Mohd Norowi, Anara Karymsakova Source A related resource from which the described resource is derived DOI : https://doi.org/10.5614/itbj.ict.res.appl.2025.18.3.4 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 26 June 2025 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Emotional intelligence massively multiplayer online games playability team effectiveness transformational leadership https://repository.horizon.ac.id/files/original/e9c65b19d86d86e0ed0bd466ec7bccdb.pdf 1c09edf2edf70d4bcd2394a173c9a884 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 18 NO. 3 2025 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Smart Campus Framework: Definition, Model, Measurement from Anthropocentric, Systemic and Technological Perspectives Subject The topic of the resource design science research methodology; higher education institution; smart campus framework; smart campus measurement model; smart system. Description An account of the resource This study developed a smart campus framework to help higher education institutions (HEIs) define and assess their smartness level. As HEIs faces growing demands for efficiency and competitiveness, implementing smart systems has become increasingly essential. A comprehensive framework is needed to support and improve the chances of successful adoption. This research addressed the question: how can a framework be created to measure campus smartness? The proposed framework encompasses a smart campus definition, an ideal model of smart system-based services, and a model for measuring smartness. The Design Science Research Methodology (DSRM) guided the development of the framework. Its evaluation was conducted in Indonesian HEIs to assess current smartness levels. The measurement model was validated through reliability testing (Cronbach’s Alpha = 0.883) and validity testing (Pearson Product Moment), both of which yielded strong results. Expert judgment from 10 specialists provided qualitative validation. The framework was applied across 10 campuses, involving 9,961 respondents. The results indicated that anthropocentric smartness (human�focused) was at levels 3 and 4 across all campuses, while systemic and technological smartness were mainly at level 2. Ten university leaders confirmed that the model effectively reflects actual campus conditions. The framework is built upon three perspectives of smartness: anthropocentric, systemic, and technological. Creator An entity primarily responsible for making the resource Radiant Victor Imbar, Suhono H. Supangkat, Armein Z.R. Langi, Arry A. Arman, Meliana Christianti Johan Source A related resource from which the described resource is derived DOI : https://doi.org/10.5614/itbj.ict.res.appl.2025.18.3.5 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 1 July 2024 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text design science research methodology higher education institution smart campus framework smart campus measurement model smart system