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Technology, Engineering, and Computing Applications (ICTECA), International Conference on

作者： Retno Wulandari Teddy Mantoro Satriani Aga Pasma Dwi Sani Suliantoro Postgraduate Program of Medical Intelligence National Intelligence College Bogor Indonesia Dept of Computer Science Sampoerna University Jakarta Indonesia

Armed conflicts occur in various parts of the world and result in many casualties and material losses. Weapons of mass destruction are one of the most feared weapons, along with the emergence of chemical, nuclear, radiological, biological, and explosive weapons. The use of weapons of mass destruction is prohibited, but their production is still uncontrolled making it possible for various parties such as terrorists, to easily use available chemical weapons raw materials such as triacetone triperoxide (TATP) bombs and the like. In addition, chemical weapons whose distribution in liquid or gas form is not regulated by the Chemical Weapons Convention (CWC) can cause long-term damage, such as the risk of permanent burns or long-term illness and even infect victims after they expire. Of course, these cases represent a threat to national security due to the irresponsible availability of chemicals to the public or what are called man-made disasters. Therefore, similar incidents need to be avoided to minimize the damage they cause. Society 5.0 can leverage information and communication technology to strengthen early detection systems and prompt responses to terrorist threats involving the misuse of chemicals as chemical weapons. This research was conducted through a systematic literature review in the form identifying, assessing, and interpreting all findings on a research topic to answer research question. The aim of this research is to analyze strategies for preventing chemicals used as chemical weapons through controlling Law Number 9 of 2008. The results of the research show that the rules regarding the control and supervision of chemicals used as chemical weapons are still being enforcedand ineffective. Indonesia in general is still vulnerable to the circulation of chemicals. Therefore, it is necessary to optimize the role of all relevant stakeholders in forming and controlling the Indonesian chemical industry against the threat of dual use.

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Cybersecurity Detection Using Neural Networks for Chemical Industry

Cybersecurity Detection Using Neural Networks for Chemical I...

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Technology, Engineering, and Computing Applications (ICTECA), International Conference on

作者： Ilham Fitrah Eka Pratama Teddy Mantoro Rika Wijayanti Pratama Dahlian Persadha Postgraduate Program of Medical Intelligence National Intelligence College Bogor Indonesia Department of Computer Science Sampoerna University Jakarta Indonesia

Cybersecurity threats affect all sectors of the economy, especially the chemical industry. The chemical industry is a critical infrastructure vulnerable to cyberattacks. In addition to financial and reputational losses, they can also cause serious accidents (such as loss of control of hazardous materials) with serious consequences for workers, society, and the environment. Industrial control panel systems are typically embedded in a variety of physical devices. The safety of control systems is crucial for ensuring the secure functioning of industrial chemical processes. Nevertheless, the susceptibility of control systems to cyber-attacks has intensified due to the extensive deployment of actuators, sensor measurements, and wireless communications. These attacks have the potential to propagate swiftly and result in severe industrial accidents. This study was conducted as part of a systematic literature review. The purpose of this study is to analyze cybersecurity threats to the chemical industry. Research shows that although cyber attacks are highly vulnerable to the chemical industry, they can be detected through neural network-based integration (NN) without having to know the process model when large quantities of historical data are available and easy to apply. It has been shown that it can be done. It is hoped that the policy recommendations obtained from this research will provide more effective guidelines for protecting the chemical industry from the risks of cyber threats.

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The Role of Biosafety and Biosecurity in Biotechnology to Prevent Bioterrorism Threats

The Role of Biosafety and Biosecurity in Biotechnology to Pr...

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Technology, Engineering, and Computing Applications (ICTECA), International Conference on

作者： Riski Subariyah Teddy Mantoro Barito Mulyo Ratmono Postgraduate Program of Medical Intelligence National Intelligence College Bogor Indonesia Department of Computer Science Sampoerna University Jakarta Indonesia

“Society 5.0” is characterized as a high degree of integration of cyberspace and physical space capable of promoting economic growth and addressing social problems in a modern information society based on cutting-edge technology advancements for data processing and knowledge creation. Recent developments in the field of biotechnology have been demonstrated by gene editing techniques, especially CRISPR-Cas9, such as basic research, applied biotechnology, and biomedical research Most biotechnology is essentially “dual use” because its development can result in both profitable and nefarious goals, all depending on the perspective and motivation of the perpetrator. The purpose of this research is a better understanding of biosecurity, biosecurity, and bioterrorism threats, so as to provide a foundation for policymakers, researchers, and health professionals to improve global health security so as to realize effective biodefense systems. The research was conducted by library research, namely data collection with literature studies. By implementing biosafety and biosecurity laboratory measures in accordance with established guidelines and guidelines can help protect people, animals, the environment, and national security. Medical intelligence is vital to monitoring and assessing the threat of bioterrorism through the process of data collection, which is then analyzed, and data dissemination. The medical intelligence community can help protect public safety and prevent bioterrorism by understanding and implementing strong biosafety and biosecurity practices in laboratories. Bioterrorism attacks that can occur at any time must be anticipated by medical intelligence by conducting research and assessment of bioterrorism threats, analyzing information so that it can be passed on to the government to take appropriate policies to be able to detect and monitor the spread of infectious diseases quickly, and developing strategies to prevent the spread of disease. Combining health s

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Interactive Multimedia Kolb Experiential Learning Model Using Logistic Regression Algorithm to Improve Student Cognitive

Interactive Multimedia Kolb Experiential Learning Model Usin...

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7th International Conference on Advances in Visual Informatics, IVIC 2021

作者： Khoirunnisa, Azizah Nurul Munir Rasim Rahman, Eka Fitrajaya Dewi, Laksmi Curriculum Development Study Program School of Postgraduate Studies Indonesia University of Education Bandung Indonesia Computer Science Education Study Program Department of Computer Science Education Indonesia University of Education Bandung Indonesia

ISBN: (纸本)9783030902346

The differences of each student become a challenge for educators in delivering learning materials. More often than not, students often find it difficult to process study materials. Conventional study-based learning may not always have a profound impact on students. Consideration of interactive multimedia as a tool for student-centered learning has not been widely discussed in scientific research. In this paper, the authors investigate interactive multimedia using Kolb’s experiential learning model in improving students’ cognitive abilities. This study uses a pre-experimental method and one-group pre-and post-test design type with the research population in class XI RPL and a sample of SMK students in Bandung. The results show that the application of interactive multimedia using Kolb’s experiential learning model is effective in improving students’ cognitive abilities. On the other hand, it is found that combining abstract learning materials with interactive visuals and activities that involve students’ participation could create exceptionally positive feedback from students. © 2021, Springer Nature Switzerland AG.

关键词： Students

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A Data-Driven Framework for Identifying Misuse of Multidrug-Resistant Organisms

A Data-Driven Framework for Identifying Misuse of Multidrug-...

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Technology, Engineering, and Computing Applications (ICTECA), International Conference on

作者： Putri Bernawati Teddy Mantoro Dwi Retnowati Postgraduate Program of Medical Intelligence National Intelligence College Bogor Indonesia Department of Computer Science Sampoerna University Jakarta Indonesia

Multidrug-resistant organisms (MDROs) pose a significant threat to public health due to their ability to cause various diseases. The emergence and evolution of superbugs have been accelerated by existing drug conservation policies, hindering the development of novel antibiotics. As a result, researchers are focusing on understanding disease causation pathways and developing advanced classes of antibiotics. Despite challenges related to transparency, regulations, ethics, and technical limitations, technology such as MDRO Dual Use Quickscan shows promise in combating MDRO-based threats. This work presents a web-based tools design that incorporates a data-driven framework and utilizes artificial intelligence (AI) to detect potential cases of dual-use research involving MDROs. A comprehensive literature review identified 15 questions relevant for evaluating MDRO dual-use research using the Quickscan tool. The Quickscan can be developed as a valuable tool for assessing the potential dual-use characteristics of MDRO research. It is recommended that expert opinions guide risk management in biologics and address potential perilous scenarios arising from dual-use activities. Artificial intelligence models, natural language processing techniques, and binary classification algorithms are suggested as viable options for detecting and assessing dual-use traits associated with MDROs. However, human supervision and assessment remain critical for interpreting outcomes and making informed decisions.

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A Two-stage Reconfiguration in Network Function Virtualization: Toward Service Function Chain Optimization

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IEEE Transactions on Network and Service Management 2025年

作者： Assis, Karcius D. R. Almeida, Raul C. Baghban, Hojjat Santos, Alex F. Boutaba, Raouf Electrical and Computer Engineering Department Salvador Brazil University of Waterloo David R. Cheriton School of Computer Science Canada Department of Electronics and Systems Recife Brazil Chang Gung University Department of Artificial Intelligence Taiwan Chang Gung University College of Intelligent Computing Taiwan Center of Science and Technology in Energy and Sustainability Brazil Postgraduate Program in Computer Science Bahia Brazil

Network Function Virtualization (NFV), as a promising paradigm, speeds up the service deployment by separating network functions from proprietary devices and deploying them on common servers in the form of software. Any service in NFV-enabled networks is achieved as a Service Function Chain (SFC) which consists of a series of ordered Virtual Network Functions (VNFs). However, migration of VNFs for more flexible services within a dynamic NFV-enabled network is a key challenge to be addressed. Current VNF migration studies mainly focus on single VNF migration decisions without considering the sharing and concurrent migration of VNF instances. In this paper, we assume that each deployed VNF is used by multiple SFCs and deal with the optimal placement for the contemporaneous migration of VNFs based on the actual network situation. We formalize the VNF migration and SFC reconfiguration problem as a mathematical model, which aims to minimize the VNF migration between nodes or the total number of core changes per node. The approach is a two-stage MILP based on optimal order to solve the reconfiguration. Extensive evaluation shows that the proposed approach can reduce the change in terms of location or number of cores per node in a 6-node and 14-node networks while ensuring network latency compared with the model without reconfiguration. © 2004-2012 IEEE.

关键词： Network function virtualization

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Leveraging Large Language Models to Discover Expert Software Developers

SSRN

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SSRN 2024年

作者： de Campos, Vitor Queiroz David, José Maria N. Ströele, Victor Computer Science Postgraduate Program Federal University of Juiz de Fora José Lourenço Kelmer s/n Minas Gerais Juiz de Fora36036900 Brazil

Context: Organizations often struggle to find specialists in niche domains within the evolving software development landscape. The scarcity of such domain-specific experts frequently forces companies to rely on early-career professionals, underscoring the need for a solution that bridges the gap between technical requirements and specialized talent. Objective: This study aims to develop and evaluate a new iteration of the DevFinder architecture that integrates Large Language Models (LLMs) to enhance the recommendation process for software development experts aligned with specific industry domains. The research explores how LLMs can transform recruitment decision-making by incorporating advanced filtering and insight generation capabilities, ultimately improving the precision and efficiency of identifying candidates with both technical and industry-specific expertise. Method: The updated DevFinder architecture focuses on key factors: i) the desired technology and industry context, recognizing the need for specialized knowledge;ii) the impact of recommended professionals on project or domain success. It introduces two new modules: iii) LLM-based filtering of API results for tailored recommendations;and iv) LLM-driven insight generation for recruiters, aiding in informed decision-making about potential candidates. Results: The study, conducted through four case studies involving 855 real repositories and 697 software developers, evaluates the limitations of LLMs, particularly in filtering and providing insights. The findings indicate that the proposed Accuracy Zones concept improves the user experience by meeting specific needs and preferences. Conclusion: This research presents an architecture that bridges the gap between technical requirements and the scarcity of specialized talent in software development. By leveraging LLMs, the DevFinder architecture offers a scalable solution for identifying and recommending experts and addressing key recruitment challenges. The f

关键词： Artificial intelligence

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The importance of mobile applications for companies' brand image: A study using structural equations 9th

The importance of mobile applications for companies' brand i...

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9th International Conference on Information Technology and Quantitative Management, ITQM 2022

作者： Mariano, Ari Melo Silva, Marcel Carneiro Mello, Tarcilla Mariano Santos, Maíra Rocha Department of Production Engineering University of Brasília Brazil Department of Computer Science University of Brasilia Brazil Postgraduate Program in Communication University of Brasília Brazil Center for Advanced Multidisciplinary Studies University of Brasilia Brazil

Because of the advancement of new technologies and the popularity of mobile devices, this study was designed to identify whether apps have a representative influence on companies' brand image. To fulfill this objective, descriptive research based on the structural equation model was carried out with the help of the statistical software Adanco. The study was conducted in Brasilia and applied in a virtual environment in the Google forms platform. The link was made available and disseminated to students of one university and through the WhatsApp and Facebook social networks, having 350 mobile device users as participants. The questionnaire was validated with α=0.81. The results of this research suggest that applications can influence 30.5% of a brand's image, thus raising the discussion that mobile applications will soon have equal or even greater importance than a website and social networks, tools that were once trends and are now essential requirements for organizations. Thus, for a company to be successful, it must not only be seen as a company with high performance and quality standards, but it must also represent a solid brand with a good reputation in the market and create and cultivate an image that connects emotionally with its consumer public. © 2022 The Authors. Published by Elsevier B.V.

关键词： Social networking (online)

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Effects of Superabsorbent Polymers on Autogenous Shrinkage and Microstructure in Metakaolin-Based Cementitious Materials

SSRN

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SSRN 2025年

作者： Palma e Silva, Arthur Aviz Capuzzo, Valdirene Maria Silva da Silva, Eugência Fonseca Agostinho, Lívia Borba Pereira, André Maués Brabo University of Brasília Postgraduate Program in Structures and Civil Construction DF BrasíliaCEP: 70910-900 Brazil Federal Fluminense University Department of Computer Science RJ Rio de JaneiroCEP: 22290-240 Brazil Federal University Uberlândia Postgraduate Program in Civil Engineering Minas Gerais UberlandiaCEP: 38408-100 Brazil

The use of superabsorbent polymers (SAPs) in combination with supplementary cementitious materials like metakaolin presents an opportunity to enhance concrete performance while addressing environmental concerns in construction, lowering CO2 emissions by clincker substitution. This study investigates the behavior of high-strength microconcrete incorporating SAPs and metakaolin, evaluating their feasibility and sustainability for construction applications. Three microconcrete and paste mixes were analyzed: a reference mix and two mixes containing 0.15% and 0.30% SAP by cement mass. All mixes included a 10% metakaolin substitution by cement mass and maintained the same water/cement ratio, without additional curing water for SAPs. Fresh-state tests assessed consistency and specific mass, while hardened-state tests measured elastic modulus. Autogenous shrinkage was evaluated through linear volumetric variation using dial gauges. Microstructural analysis of the pastes and microconcretes involved thermogravimetry, isothermal conduction calorimetry, and X-ray microtomography. The results highlight the beneficial effects of SAPs with metakaolin, including enhanced hardened state properties and refined pore structure, achieved despite the absence of extra curing water. SAPs contributed to increased pozzolanic activity in metakaolin, likely due to delayed water release from SAP desorption. Furthermore, SAPs effectively mitigated autogenous shrinkage, making their application in concrete mixes promising. These findings emphasize the dual benefit of improving concrete performance and advancing environmental sustainability, showcasing the potential of SAPs and metakaolin in producing high-performance, eco-friendly concrete solutions for the construction industry. © 2025, The Authors. All rights reserved.

关键词： Hardening

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Analyzing User Comments on Fintech E-wallet Applications in Indonesia Using the LDA Algorithm

Analyzing User Comments on Fintech E-wallet Applications in ...

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International Conference on Information Technology (INCIT)

作者： Albertus Dwiyoga Widiantoro Mustafid Mustafid Ridwan Sanjaya Doctoral Program of Information System School of Postgraduate Studies Diponegoro University Semarang Indonesia Information System Computer Science Fakulcty Soegijapranata Catholic University Semarang Indonesia

The main objective of this article is to compare user comments from 4 Fintech applications in Indonesia using the Latent Dirichlet Allocation (LDA) algorithm. This research is word processing research carried out using text mining. The statistical population is comments from Fintech users Ovo, Dana, LinkAja, and Doku, with data taken from May 2022-May 2023. LDA and the Python programming language are applied to analyze the data and implement text mining algorithms from topic modeling. Each application group has different topic coherence, each application group is analyzed and 4 large categories are found, namely system convenience, system problems, customer service (CS) problems, and service ease. The results of text mining and processing using Coherence and Latent Dirichlet allocation can be used to identify hidden topics and be used as input for system improvements

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