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Students reading interest is a crucial factor in enhancing the quality of education. However, the lack of structured data makes it challenging to identify specific patterns of reading interest. This study aims to implement a data mining method using the Naive Bayes algorithm to analyze students' reading interest at SMP Negeri 2 Palembang's library. The data used includes book borrowing history, types of books, and library visit frequency over one semester. The analysis results indicate that the Naive Bayes method achieves an accuracy rate of 80% in classifying reading interest based on predetermined categories. These findings are expected to assist the school in designing more effective literacy programs.  

Improving and developing the mini library at Jabung Wetan State Elementary School is a program designed by teaching campus students with the approval of the school and field supervisor lecturers (DPL). This program aims to meet the needs of the school community in the teaching and learning process, especially in increasing literacy activities for students' reading interest in the school environment. The method used in this service article is descriptive qualitative by going directly into the field to carry out observation and survey activities in school libraries.This program activity goes through several stages which include: (1) making and distributing book donation pamphlets to school residents and the outside community, (2) collecting donated books, (3) buying books from the money from donations, (4) cleaning and arranging the cooperative space which will be transformed into a library, (5) the process of decorating the library, (6) the process of classifying books based on their type, (7) writing a list of books into the main library book, (8) making labels for each books, (9) arranging and arranging books on shelves, (10) selecting and appointing library ambassadors.