Smart cities generate vast amounts of data requiring rapid processing to improve urban management. This study investigates the application of edge computing to achieve realtime data processing in smart cities, minimizing latency and enhancing system responsiveness. Through a combination of theoretical analysis and case studies, the paper examines how edge computing can reduce data transmission delays and network congestion. The results reveal that implementing edge computing can significantly improve data efficiency in smart cities, offering a sustainable solution to meet growing urban demands.

The increase in connected IoT devices causes increased vulnerability to cyber attacks. This research develops a hybrid machine learning model to detect real-time anomalies in IoT networks. This model combines the K-Nearest Neighbors (KNN) and Random Forest (RF) algorithms to increase accuracy and efficiency. Evaluation was carried out using the UNSW-NB15 dataset to test model performance. The results show that this hybrid approach is able to detect anomalies with high accuracy and a low false positive rate.

Cloud computing faces challenges regarding data integrity and security due to its centralized nature. This paper proposes a blockchain-based data integrity management system that decentralizes cloud data storage and ensures authenticity and traceability. By leveraging smart contracts, the proposed system validates data transactions, prevents unauthorized alterations, and provides a transparent audit trail. Experimental results reveal that the system can maintain high levels of data integrity with minimal latency and computational overhead, offering a practical solution to enhance data security in decentralized cloud environments.

Industrial Control Systems (ICS) play a critical role in managing infrastructure but are vulnerable to cyber-attacks. This paper presents an AI-driven Intrusion Detection System (IDS) specifically designed for ICS, utilizing a combination of supervised and unsupervised machine learning algorithms. By incorporating real-time anomaly detection and pattern recognition, the proposed IDS identifies potential intrusions while maintaining high accuracy. The experimental results show the system’s effectiveness in detecting cyber threats in real-world ICS environments, providing a scalable solution for enhancing cybersecurity in critical infrastructure.

Geographic information systems (GIS) can be said to be a technology that is a tool that can manipulate, store, analyze and even display natural conditions with the help of data. This study focuses on the utilization of GIS applications and websites. The purpose of this study is to see and find out the utilization of GIS applications and websites in human life. The research method used is literature study. In this literature study, 130 international journals and 100 national journals were obtained with the search year of the last 5 years, namely 2018-2022, which were then studied further. 33 selected articles were produced which were used in writing the article. The results of this study are the utilization of geographic information system applications and websites to help human activities and needs in various sectors, such as in the field of education can map the location of industrial work practice locations (PRAKERIN), the health sector can map the location of pharmacies, the transportation sector can provide information related to routes on public transportation and in other sectors.

Serang Raya University, is a private tertiary institution in the province of Banten, There are 4 faculties, Vocational D3 and 17 Study Programs, in the process of teaching and learning activities each lecturer has a different way of teaching students. Faculty of Information Technology, Computer Science Engineering study program with 30 lecturers, 9 classes, 59 courses and 126 students. This does not require the possibility that with the number of courses taken on campus there are sti ll many students who do not understand what the lecturer is delivering. Management of student comments on the understanding of lecture material is designed to make it easy for students to comment on the lecturer's presentation of the material. This is also used as evaluation material for lecturers regarding the delivery of material. Currently, Serang Raya University does not have a website-based information system. From this discussion, comments are made with the Rule-based Finite State Automata model. In reading the comments, this produces a system that can read comments word by word until the end of the word with a space separator so that it finds keywords, namely the keywords understand and don't understand.

The integration of IT Governance and expert system design offers transformative benefits for enhancing library user services. This research employs the COBIT 5.0 framework to align IT strategies with library objectives while developing an expert system tailored for personalized recommendations. The findings indicate that the expert system significantly improves operational efficiency, service accuracy, and user satisfaction by using user profiles to recommend relevant materials and streamline the borrowing process. Testing revealed high user satisfaction levels, with 96.6% finding the system effective and 100% confirming its efficiency. Additionally, IT Governance ensures strategic integration between technological infrastructure and service quality objectives, enabling data-driven decision-making. The study also highlights challenges, such as the need for robust data management and user training, suggesting areas for future improvement. Recommendations include incorporating machine learning to enhance system intelligence, conducting regular evaluations to maintain system relevance, and testing the scalability of this approach across various types of libraries. By integrating IT Governance with an expert system, this research sets a strong foundation for modernizing library services to better meet user expectations in the digital era.