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Artificial Intelligence (AI) has become an essential tool in the world of management for decision-making. This article examines the ways in which AI can be used to improve the quality and speed of decision-making, and how AI can improve the operational efficiency of companies. In addition, this article also examines the challenges and opportunities that companies face in adopting AI.In the rapidly evolving digital era, AI has become an essential component of modern business strategies. Today's managers are often faced with the challenge of analyzing very large and complex volumes of data. To make good and timely decisions, AI offers a potential solution with fast and precise data analysis capabilities.The use of AI in decision-making involves machine learning algorithms and models to efficiently process and analyze large amounts of data. This helps managers gain deeper and more accurate insights, enabling more effective decision-making.

The authors of the article have chosen a company acting as an agent for a container shipping line because the company seeks to decrease its service failures and reduce the chaotic nature of its activities by systematizing them from a scientific point of view and refining its operations at the managerial level. Employees of the company are responsible for activities such as a search for customers, price offers, contacting clients, the conclusion of contracts, coordination of cargo transportation, document control, invoicing and payment control. Proper execution of these operations ensures the quality of services provided by the container line agent. The learning organization concept, situational management theory and total quality management theory are applicable to the management of the personnel activity process in the line. In terms of management functions, planning is more suitable for activities such as searching for customers, price offers, conclusion of contracts and invoicing; organizing is more required when searching for customers, contacting them and concluding contracts; leading is more suitable for activities such as contact with clients, conclusion of contracts and payment control; control is more required when contacting customers, coordinating cargo transportation, invoicing and controlling payment. A conceptual approach that theoretically reveals the principles and possibilities of the company’s activities in the container shipping line can serve as the basis for future empirical research to identify problems in its personnel activity management.

Educational supervision is a very important thing to do to improve the quality of education. Teacher performance is a result of work achieved by a teacher in carrying out the tasks assigned to him based on skills, experience, and sincerity as well as time.The research method in this thesis is a descriptive qualitative approach, data collection can use primary data sources and secondary data sources, data collection techniques using observation, interviews, documentation.The results of the study show that the supervisory role of the school principal in improving teacher performance at Nurul Falah Islamic Middle School Mangaran Situbondo is to provide guidance to teachers related to theoretical and practical learning, involve teachers in training, provide opportunities for teachers to take part in various education and training at the cluster or sub-district level regularly, subject teacher deliberations (MGMP), supervising teacher deliberations (MGP), and teacher working groups (KKG), as well as seminar workshop discussions, and provision of learning resources. providing motivation to teachers, collaborating with foundations that oversee the Nurul Falah Islamic Middle School Mangaran Situbondo, school committees, and the community. The motivation of school principals in improving teacher performance at Nurul Falah Islamic Middle School Mangaran Situbondo through regulation of the physical environment, regulation of the work atmosphere, discipline, applying the principles of rewards and punishments.      

Teacher performance has the most important position in an effort to improve the quality of learning which will later affect the quality of graduates and will affect the achievement of national education goals. Some of the factors that can influence are self-efficacy and technostress. This study aims to determine the effect of partial and simultaneous technostress and self-efficacy on teacher performance.  The study used quantitative research. Data retrieval techniques with questionnaires. The study population of all teachers who teach at Tapos Sub-District State High School is 100 teachers. The number of samples was determined using the Slovin formula and a sample of 80 people was obtained. Instrument test data analysis techniques use validity and reliability tests, linear regression analysis, classical assumption tests, Determination Coefficient Tests, and Hypothesis Tests with t tests and F tests. These findings are consistent with previous research showing that technostress affects teacher performance and self-efficacy also plays a role in improving teacher performance. In the context of the Covid-19 pandemic and distance learning, these factors have an important role to play in overcoming challenges in improving the quality of learning.