Implementation of the Naive Bayes algorithm for the classification of recipients of the Certificate of Inability to Pay (SKTM) assistance in Pesanggrahan Village. The classification process is carried out manually and using the RapidMiner application to validate the results. Manual calculations are carried out by calculating the probability of each attribute, such as occupation, age, income, marital status, vehicle, and asset ownership. The calculation results show that the probability for the "eligible" category is 0.097254, while the "uneligible" category has a probability of zero, so that the resident is classified as eligible to receive assistance. And, the calculation results using RapidMiner show results that are consistent with manual calculations. The Naive Bayes algorithm successfully classifies data with high accuracy, ensuring that assistance is more targeted to residents who meet the criteria. The implementation of this method provides an effective solution to overcome the problem of inaccurate distribution of assistance, increasing efficiency and transparency in decision-making by village officials. Thus, the Naive Bayes algorithm can be used as a tool in the process of determining recipients of assistance that is more objective and data-based.

Village-level public service processes frequently encounter obstacles like drawn-out manual processes, restricted information availability, and rigid service schedules. In order to increase the effectiveness of village administrative services, specifically in the creation of the Certificate of Inability (SKTM), this project intends to develop a web-based information system. The waterfall technique, which comprises phases for requirements analysis, system design, implementation, testing, and maintenance, is used to construct the system. The PHP CodeIgniter framework and MySQL database are among the technologies utilized. According to test results, this technology can improve transparency and service efficacy, speed up document processing, and make it easier for residents to access services online. It is anticipated that this method will be a creative way to facilitate the digitization of village government.