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In the era of the Industrial Revolution 4.0 and Society 5.0, digital technology is developing rapidly. This has prompted the world of education to make major changes in learning methods, including in Islamic Religious Education (PAI). Until now, PAI has used outdated methods. These methods are inadequate to meet the needs of children who are accustomed to technology. Therefore, there is a need for technology integration in the learning process. This study aims to determine how to use E-Learning, Learning Management Systems (LMS), and Artificial Intelligence (AI) in PAI learning. This study also aims to determine the benefits, challenges, and strategies for implementing these technologies. This study used a qualitative approach with a literature review type. Data were obtained from various sources, such as books, scientific articles, journals, and relevant documents. The results show that the use of E-Learning, LMS, and AI can improve the quality of PAI learning. E-Learning makes learning easier and more flexible. LMS helps manage learning more systematically. AI helps make learning more personalized and tailored to students' needs. However, the implementation of these technologies still faces several challenges, such as limited infrastructure and low digital skills of teachers and students. Therefore, a strategy is needed to address these challenges. This strategy includes enhancing digital capabilities, strengthening technological infrastructure, developing innovative learning media, and monitoring the use of technology based on Islamic values. This will ensure optimal integration of technology into Islamic Religious Education learning.

This study aims to analyze strategies for optimizing the management of the library of the Majelis Ulama Indonesia (MUI) of Sumatera Utara Province in carrying out its role as an authoritative center for Islamic literacy and information. As an institution overseeing the Pendidikan Tinggi Kader Ulama (PTKU), the library holds a strategic position but faces challenges in terms of standardization and digital adaptation. The method employed is a descriptive qualitative study examining aspects of collection management, compliance with the National Library Standards (SNP), and the implementation of information technology. The findings indicate that the MUI North Sumatra Library possesses notable strengths in its collection of centuries-old classical kitab kuning manuscripts and unique documents from scholars’ deliberative forums (muzakarah). Optimization efforts include manuscript digitization using the Senayan Library Management System (SLiMS), management training for PTKU students, and the integration of information services through the organization’s official portal. The study concludes that strengthening human resource capacity, ensuring sustainable budget support, and meeting physical facility standards are key factors in transforming the library into an intellectual beacon of Islam in the Media 4.0 era.

The assignment problem discusses the problem of creating maximum sales, CV Surya Pelangi assigns its selected employees to enter the target market. CV Surya Pelangi has problems allocating its employees to the target market that has been determined. Before allocating its employees, CV Surya Pelangi has conducted training first. The income data of each employee in these markets is in (thousands) during training, therefore it is necessary to solve the employee allocation problem. The method used in this study is the Hungarian Method, with a focus on the maximization approach. The Hungarian method is known to be effective in solving assignment problems where there are similarities in the number of employees and allocations, and the goal is to optimize the allocation. In this case, maximization means finding a combination of assignments that produce the highest total profit value.