Purpose: This article aims to develop and implement an administrator system for website-based debt recording that can be used by Toko Serunai Sekayu. Method: The system development method is carried out using a web-based software development approach. Development stages include requirements analysis, system design, implementation, and testing. Results: The result of this research is the successful implementation of a website-based debt recording administrator system for the Serunai Sekayu Shop. This system allows users to record customer debts efficiently and manage this data well. Limitations: The limitation of this system is its dependence on a stable internet connection for optimal access and use of the system. In addition, there may be challenges in integrating with the store's existing systems. Contribution: The main contribution of this article is the development of a specific and applicable system for debt management at Serunai Sekayu stores. This system provides a practical solution for these stores in managing and monitoring customer debt effectively through an easy-to-access web platform.

Purpose: This study aims to determine e-commerce and organizational performance in terms of organizational profits. As a form of e-commerce, e-commerce has become an integral part of modern business strategies. Organizational performance, which includes operational efficiency and goal achievement, is a key factor in achieving business success. Research methodology: The research method used in this study uses primary data from a questionnaire as a data collection instrument. The research sample was randomly selected from 43 Gojak users at Indo Global Mandiri University. The data used was an exploratory statistical method that measured the relationship between variables. Results: The results indicate that e-commerce and organizational performance contribute to increasing organizational profits. The use of technology can improve customer accessibility, operational efficiency, and an organization's ability to reach global markets. Organizational performance also plays an important role in determining profit levels. Organizations that perform well tend to achieve higher profits by providing a better understanding of the impact of e-commerce. Limitations: The importance of organizational performance in achieving profit goals and managerial roles can help organizations optimize strategies to improve their overall organizational performance and achieve better profits. Contribution: Follow-up studies could explore other aspects of e-commerce and organizational performance as well as consider additional variables to deepen the understanding of this relationship.

Purpose: Electricity is a crucial necessity, serving as a prerequisite for the smooth, efficient, safe, and comfortable conduct of human life activities. The energy requirements for each household, especially in shared living spaces like dormitories, vary, with residents' behaviors and habits influencing daily electricity usage patterns. Wasteful electricity habits can lead to disadvantages for various parties. To address this, control technology has been developed to reduce the risk of injustice in billing and electricity usage among dorm residents, aiming to optimize electrical load usage. Research Methodology: This research utilizes the backpropagation method to develop a complex calculation model for predicting monthly electricity token expenditures based on daily electricity usage. The methodology involves understanding and analyzing the electricity consumption patterns of dorm residents, implementing the backpropagation algorithm, and testing the model's accuracy in predicting future electricity expenses. Results: The study presents insights gained from applying the backpropagation method, demonstrating its effectiveness in predicting monthly electricity token expenditures. Results include the development of a model that takes into account daily electricity usage patterns, allowing residents to better control and plan their electricity expenses. Limitation: It is important to note that this research is confined to the development of a predictive model using the backpropagation method. Practical implementation and testing of the model in real-world dormitory settings are beyond the scope of this study. Future research and application stages are warranted to validate the model's effectiveness and usability. Contribution: This research contributes by providing a predictive model using the backpropagation method, offering dormitory residents a tool to estimate and control their monthly electricity expenses. The model aims to reduce wasteful electricity practices and promote fair billing, contributing to a more sustainable and equitable electricity usage environment.