Advances in information technology (IT) and operation technology (OT) accelerate the development of manufacturing systems (MS) consisting of integrated circuits (ICs), modules, and systems, toward Industry 4.0. However, the existing MS does not support comprehensive identity forensics for the whole system, limiting its ability to adapt to equipment authentication difficulties. Furthermore, the development of trust imposed during their crosswise collaborations with suppliers and other manufacturers in the supply chain is poorly maintained. In this paper, a trust chain framework with a comprehensive identification mechanism is implemented for the designed MS system, which is based and created on the private blockchain in conjunction with decentralized database systems to boost the flexibility, traceability, and identification of the IC-module-system. Practical implementations are developed using a functional prototype. First, the decentralized application (DApp) and the smart contracts are proposed for constructing the new trust chain under the proposed comprehensive identification mechanism by using blockchain technology. In addition, the blockchain addresses of IC, module, and system are automatically registered to InterPlanetary File System (IPFS), individually. In addition, their corresponding hierarchical CID (content identifier) values are organized by using Merkle DAG (Directed Acyclic Graph), which is employed via the hierarchical content identifier mechanism (HCIDM) proposed in this paper. Based on insights obtained from this analysis, the trust chain based on HCIDM can be applied to any MS system, for example, this trust chain could be used to prevent the counterfeit modules and ICs employed in the monitoring system of a semiconductor factory environment. The evaluation results show that the proposed scheme could work in practice under the much lower costs, compared to the public blockchain, with a total cost of 0.002094 Ether. Finally, this research is developed an innovation trust chain mechanism that could be provided the system-level security for any MS toward Industrial 4.0 in order to meet the requirements of both manufacturing innovation and product innovation in Sustainable Development Goals (SDGs).

This chapter presents an in-depth analysis of the transformative role of artificial intelligence (AI) in the fields of industrial robotics and drone technology, offering a comprehensive overview of the integration and evolution of these technologies. Beginning with a historical perspective, the study traces the development of robotics and drones within industrial contexts, laying the foundation for understanding the significant impact of AI. The analysis reveals how the advent of AI has revolutionized these technologies, shifting from basic mechanization to advanced, intelligent systems capable of complex tasks, and decision-making. The study explores the progression from initial AI applications in robotics to the current state-of-the-art implementations, demonstrating the profound changes in efficiency, capability, and functionality. By examining the interplay between AI, robotics, and drones, the study provides insights into the future trajectory of these technologies and their potential to redefine industrial processes.

The security of operating systems is critical in safeguarding digital infrastructure, particularly server environments vulnerable to cyberattacks. One proven approach to enhancing OS security is hardening, which involves minimizing the system's attack surface. This study evaluates the effectiveness of the Center for Internet Security (CIS) Benchmark in hardening Ubuntu Server 22.04 against cyber threats. Using the PPDIOO framework, the research implemented hardening procedures via Ansible automation and conducted experimental tests comparing a hardened server against a standard (non-hardened) counterpart. Both servers were subjected to simulated attacks including DDoS, Port Scanning, Brute Force, Web Scanning, and Web Crawling. The results demonstrate a marked improvement in resistance for the hardened server, with attack success rates significantly reduced: 11% for DDoS (versus 94% on the standard server), 0% for Port Scanning, Brute Force, and Web Crawling (versus 20–100% on the standard server), and 67% for Web Scanning (versus 100% on the standard server). These findings underscore the substantial protective advantage conferred by the CIS Benchmark. The study contributes to the field by offering empirical evidence of CIS Benchmark's applicability to modern Linux environments and highlights the value of integrating automated hardening and attack simulations in cybersecurity practices. Future work should examine scalability across different OS platforms and real-world enterprise deployments.

The development of communication and information technology has affected the world of television broadcasting in Indonesia. With the emergence of a new phenomenon, the convergence of digital media industry. The migration of analogue to digital television broadcasting has impacted various industries related to broadcasting. Especially for the sustainability of the television broadcasting community in the country. Station Tv x is one of the television communities, on the other hand the media industry has challenges in managing storage media consisting of audio and video data that has a large capacity. Audio video logs are needed as information on recording audio video files. Blockchain-based Interplenary File System (IPFS) technology is expected to be one of the alternatives that can be applied in the world of broadcasting, storage media and audio video file data distribution methods, data library security and data flexibility are one of the challenges faced in the television broadcasting industry. The purpose of this research is as an effort to decentralise audio video data in distributed storage media to be more optimal and secure. The results of this research can be used to distribute audio video data files in the data library at tv station x.

Rendahnya hasil belajar dan motivasi mahasiswa dalam pembelajaran adalah merupakan permasalahan yang terjadi pada saat ini. Proses pembelajaran Manajemen Proyek Teknologi Informasi adalah merupakan salah satu kompetensi di dalam pengembangan mendukung kompetensi rekayasa perangkat lunak. Metodologi yang digunakan adalah Model pembelajaran Manajemen Proyek Teknologi Informasi berbasis multimedia yang dibuat melalui beberapa tahapan antara lain : Penelitian Pengembangan (research and development /R & D) Gall dan Borg, desain sistem pembelajaran (instructional system design/ISD), model pengembangan model pembelajaran motivasi (attention, relevance, confidient and relevance/ARCS). Sedangkan pengembangan multimedianya : siklus hidup pengembangan (sistem system development life cycle/SDLC) dan perancangan sistem berorientasi objek (object oriented analysis design/OOAD). Keluarannya adalah produk sistem pembelajaran manajemen proyek teknologi informasi berbasis multimedia yang akan dilaksanakan pada pembelajaran LMS dan CD interaktif pembelajaran. Selanjutnya pembelajaran ini dapat diterapkan pada pendidikan tinggi di Indonesia.