Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University
This study examines the effectiveness of the Naïve Bayes and C4.5 algorithms in analyzing book borrowing patterns at the Pringsewu Muhammadiyah University Library. As libraries increasingly serve as vital educational hubs, understanding user borrowing behavior is essential for effective collection m...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LPPM ISB Atma Luhur
2025-01-01
|
| Series: | Jurnal Sisfokom |
| Subjects: | |
| Online Access: | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2300 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823856511374327808 |
|---|---|
| author | Dani Wilian Sriyanto Sriyanto |
| author_facet | Dani Wilian Sriyanto Sriyanto |
| author_sort | Dani Wilian |
| collection | DOAJ |
| description | This study examines the effectiveness of the Naïve Bayes and C4.5 algorithms in analyzing book borrowing patterns at the Pringsewu Muhammadiyah University Library. As libraries increasingly serve as vital educational hubs, understanding user borrowing behavior is essential for effective collection management and service enhancement. The research follows the Cross-Industry Standard Process for Data Mining (CRISP-DM), which includes stages of business understanding, data understanding, preparation, modeling, evaluation, and implementation. A dataset consisting of 5,586 records and ten attributes related to book lending was utilized, with comprehensive data cleaning and preprocessing conducted. The performance of both algorithms was assessed using K-fold cross-validation, yielding an accuracy of 96.26% for C4.5, compared to 91.44% for Naïve Bayes. These results demonstrate that C4.5 is more adept at capturing complex relationships within the data, providing deeper insights into user preferences and enhancing library services. This research underscores the potential of data mining techniques to optimize library management and proposes avenues for future investigation, such as exploring advanced machine learning algorithms and expanding datasets for use in broader library contexts. |
| format | Article |
| id | doaj-art-8b46bdb2bdf848ac9426027b6ac6d7cc |
| institution | Kabale University |
| issn | 2301-7988 2581-0588 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | LPPM ISB Atma Luhur |
| record_format | Article |
| series | Jurnal Sisfokom |
| spelling | doaj-art-8b46bdb2bdf848ac9426027b6ac6d7cc2025-02-12T07:27:38ZengLPPM ISB Atma LuhurJurnal Sisfokom2301-79882581-05882025-01-0114110110610.32736/sisfokom.v14i1.23001967Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah UniversityDani Wilian0Sriyanto Sriyanto1Faculty of Computer Science, Darmajaya Institute of Informatics and BusinessFaculty of Computer Science, Darmajaya Institute of Informatics and BusinessThis study examines the effectiveness of the Naïve Bayes and C4.5 algorithms in analyzing book borrowing patterns at the Pringsewu Muhammadiyah University Library. As libraries increasingly serve as vital educational hubs, understanding user borrowing behavior is essential for effective collection management and service enhancement. The research follows the Cross-Industry Standard Process for Data Mining (CRISP-DM), which includes stages of business understanding, data understanding, preparation, modeling, evaluation, and implementation. A dataset consisting of 5,586 records and ten attributes related to book lending was utilized, with comprehensive data cleaning and preprocessing conducted. The performance of both algorithms was assessed using K-fold cross-validation, yielding an accuracy of 96.26% for C4.5, compared to 91.44% for Naïve Bayes. These results demonstrate that C4.5 is more adept at capturing complex relationships within the data, providing deeper insights into user preferences and enhancing library services. This research underscores the potential of data mining techniques to optimize library management and proposes avenues for future investigation, such as exploring advanced machine learning algorithms and expanding datasets for use in broader library contexts.https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2300book borrowing patternsc4.5naive bayesdatamining |
| spellingShingle | Dani Wilian Sriyanto Sriyanto Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University Jurnal Sisfokom book borrowing patterns c4.5 naive bayes datamining |
| title | Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University |
| title_full | Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University |
| title_fullStr | Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University |
| title_full_unstemmed | Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University |
| title_short | Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University |
| title_sort | comparison of the performance of the c 45 algorithm with naive bayes in analyzing book borrowing at the library pringsewu muhammadiyah university |
| topic | book borrowing patterns c4.5 naive bayes datamining |
| url | https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2300 |
| work_keys_str_mv | AT daniwilian comparisonoftheperformanceofthec45algorithmwithnaivebayesinanalyzingbookborrowingatthelibrarypringsewumuhammadiyahuniversity AT sriyantosriyanto comparisonoftheperformanceofthec45algorithmwithnaivebayesinanalyzingbookborrowingatthelibrarypringsewumuhammadiyahuniversity |