Micro, Small and Medium Enterprises are one of the most important pillars of the economy in Indonesia. MSMEs contribute significantly to Gross Domestic Product, employment, and regional development through income equality. This study attempts to obtain relevant answers regarding the strategic role of MSMEs in sustainable economic development in Indonesia, as well as the obstacles faced by this sector. Despite the government's role in sustainably encouraging MSMEs, this study shows that MSMEs still have difficulty accessing capital, government policies, and digitalization. This study uses a descriptive method to identify data that produces a good understanding of the factors that build the success of MSMEs. The results of the study show that the contribution of MSMEs to GDP is around 61.07%, employing 97% of the total number of jobs, namely MSMEs are quite important for the government and other stakeholders in supporting the role of MSMEs in inclusive and sustainable economic development.

Crime is a problem experienced by humans from time to time, crime often occurs because of several factors, one of which is due to the lack of security of the address so that many criminal acts occur. Hamparan Perak Police is trying to increase its commitment to safeguard and protect the community through efforts that are organized consistently and continuously. The rise of criminal acts that occur, such as motorcycle theft, persecution, and the rise of robbery in the middle of the road makes residents feel unsafe and always feel threatened at certain addresses. Therefore, to determine the vulnerable pattern of crimes committed, it is necessary to determine the group to determine the vulnerable area or not using the clustering method, which aims to be able to assist the police in conducting socialization and actions for public security by combining objects in a group with each other and different from objects in other groups. From the tests carried out using the clustering method with the K-Means algorithm, it can be seen that the group of criminal data that has the highest group and most often appears when processed is the criminal act of theft, the pattern of criminal acts in quiet areas, has been monitored and planned in klambir village.