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Management Information Systems (MIS) have become a crucial component in enhancing operational efficiency and effectiveness in various educational institutions, including elementary, middle, and high schools. This article examines the implementation of MIS in schools, with a case study at SMP Negeri 11 Lhokseumawe. The implementation process, including planning, organizing, execution, and evaluation, is detailed comprehensively. The findings indicate that MIS can improve data management accuracy, expedite administrative processes, and increase parental involvement in the educational process. Despite facing challenges such as human resource readiness and infrastructure, proper support and systematic approaches enable schools to maximize the benefits of MIS. This article concludes that MIS is an effective tool in supporting school management and improving the quality of education.

The limitations of traditional cost systems in capturing the complexity of operational activities lead to inaccuracies in cost allocation, which has an impact on the determination of cost of production and transfer prices between divisions. This study aims to evaluate the effectiveness of the Activity-Based Costing (ABC) method in improving the accuracy of cost information and examine the factors that affect its success. The method used is a literature study of major journals and supporting literature. The results of the study show that ABC is more accurate in allocating overhead costs based on relevant activities and cost drivers, and is able to reduce cost information distortion. The adoption of ABCs is influenced by cost structure, product diversification, and competitive intensity. However, successful implementation requires organizational readiness, managerial support, and an understanding of the operational context. These findings confirm the importance of implementing an adaptive cost system to support efficiency and transparency.

The traditional food and beverage industry in Medan, Indonesia, is undergoing significant changes as Industry 5.0 technology becomes more integrated. This research explores the impact of this transformation through data analysis from 143 traditional culinary businesses. The focus is on evaluating the extent to which Industry 5.0 has been adopted, identifying factors that drive or hinder its adoption, and analyzing how this affects business operations and customer experiences. We utilized Structural Equation Modeling with Partial Least Squares (SEM-PLS) to examine the relationship between business characteristics, workforce readiness, Industry 5.0 adoption, and its implications for operational and customer experiences. We used descriptive statistics to understand demographic and technological profiles, while measurement model evaluation demonstrated the validity and reliability of our survey. Path analysis and bootstrap analysis were employed to confirm relationships, while fit model evaluation, R², and Q² provided insights into overall model robustness. Our findings contribute to academic knowledge, provide guidance for business owners in making strategic decisions, and establish standards for future research on Industry 5.0 adoption in the traditional sector.

This study is a qualitative literature review aimed at exploring the challenges and opportunities of integrating generative artificial intelligence (GAI) in human resource management (HRM) practices. GAI, as an advanced technology, holds significant potential to enhance operational efficiency in HRM through the automation of administrative tasks, improved accuracy in performance evaluations, and the development of more interactive and adaptive employee training. However, its implementation also faces several challenges, including employee resistance to change and the unpreparedness of technological infrastructure. Furthermore, ethical issues such as algorithmic bias in recruitment processes are a major concern, potentially exacerbating inequities if not properly monitored. This research identifies that the success of integrating GAI into HRM depends on the organization’s readiness to address technological and ethical challenges, as well as the importance of careful planning. The findings provide valuable insights for organizations in designing effective strategies for GAI integration to improve performance and organizational dynamics while addressing potential risks.