Dementia is a growing global health challenge due to the aging population and lifestyle changes. Early and accurate diagnosis is crucial but often difficult and costly. The Case-Based Reasoning (CBR) method in artificial intelligence offers a solution by mimicking human problem-solving based on past experiences. This study aims to develop and implement an efficient and reliable CBR-based dementia diagnosis system. The system is expected to analyze and compare patient symptoms and medical histories with documented cases to provide faster and more accurate diagnostic recommendations. The implementation of CBR in a web-based expert system using PHP and MySQL has proven effective, significantly contributing to the improvement of patient quality of life and healthcare system effectiveness.

: This study aims to evaluate the sales information system at UMKM CKS using the COBIT 5 framework. Initial observations revealed several issues, including an unresponsive user interface and a complicated check-out process. The audit results showed an average maturity level of 1.56 or 156%, indicating a Fully Achieved (F) status with a systematic approach. However, on the capability model scale, it is at level 1, which is the Performed Process. The conclusion of this research indicates that although the sales information system has been successfully implemented, there is a need for innovation and enhancement of consumer services, as well as better communication between the company and consumers to improve the effectiveness of the information system.