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The clinic has several health facilities such as outpatient, inpatient, dental clinic, laboratory, family planning/MCH, pharmacy, and pharmacy. However, at the clinic, administrative processes are still carried out manually and are not computerized properly, making it difficult for staff because the process of storing and integrating data has not been carried out effectively and efficiently. Therefore we need a systematic and automatic information system to assist the administrative and managerial processes of the clinic. The information system developed in this study is based on a web application using the Laravel 8 framework. The method used for system development is the linear sequential model commonly known as the classic life cycle or waterfall development model. The system that has been made is tested using the black box texting method combined with the UAT (User Acceptance Testing) method to find out whether the system meets functional requirements and is by the design. Based on testing using the UAT method, the average value of 6 different indicators is 91%. Therefore it can be concluded that the web-based information system for this clinic has an easy-to-understand way of working and attractive features so that it can provide convenience in the patient treatment process and clinical managerial processes.

The study focuses on optimizing standalone PV-battery systems for LED street lighting in Magetan Regency, Indonesia, emphasizing the importance of PV panels and lithium battery selection for energy efficiency. Minimizing energy not captured leads to effective, sustainable, and eco-friendly street lighting, reducing energy waste and promoting a greener urban environment. The optimization process involves choosing the appropriate PV panel size, battery capacity, and solar charge controller to maximize energy capture while meeting load requirements and design constraints. Solar resource assessment using PVGIS ensures system feasibility analysis. Simulation results reveal optimized PV panel peak power (200 Wp), battery capacity (1002 Wh), and a 16.67A MPPT solar charge controller. The average energy not captured is 144.21 Wh per month, showcasing the system’s efficiency. The discussion emphasizes the significance of this optimized configuration in enhancing energy capture and storage capacity, resulting in reliable and eco-friendly street lighting solutions.