@phdthesis{digilib42686,
           month = {June},
           title = {STUDI KOMPARASI METODE NA{\"I}VE BAYES DAN METODE  ENSEMBLE BOOTSTRAP AGGREGATING (BAGGING) BERBASIS  NA{\"I}VE BAYES UNTUK KLASIFIKASI CALON ANGGOTA (STUDI  KASUS : UKM JQH AL-MIZAN UIN SUNAN KALIJAGA)},
          school = {UIN SUNAN KALIJAGA YOGYAKARTA},
          author = {NIM.: 16650055 Siti Shofiyah},
            year = {2020},
            note = {Pembimbing : Rahmat Hidayat, S.Kom., M.Cs.},
        keywords = {Data Mining, Naive Bayes, Ensemble Bootstrap Aggregating,},
             url = {https://digilib.uin-suka.ac.id/id/eprint/42686/},
        abstract = {UKM JQH al-Mizan of UIN Sunan Kalijaga is one of the organizations
implementing selection in accepting prospective members. Based on the period of
the last two years, the management of UKM JQH al-Mizan determined the
graduation of prospective members based on the results of the selection test which
could not predict the potential for potential members. So the prediction analysis
needs to be done on the criteria used when selecting prospective members.
This study aims to determine the parameters that affect the activity of
members using the Ensemble Bootstrap Aggregating (Bagging) based on Na{\"i}ve
Bayes. The criteria used are gender, domicile, non-formal education, organizational
experience, achievements, interviews, literacy, skills, and selection results. The
results of the implementation of the Bagging Ensemble based on Na{\"i}ve Bayes show
that the interview and achievement parameters produced the highest prediction
classification accuracy of 73.58\%.
Na{\"i}ve Bayes-based Bagging method in its implementation managed to get
a higher accuracy value of 67.92\% compared to the Na{\"i}ve Bayes algorithm with an
accuracy value of 62.26\%. The evaluation results using Confusion Matrix, Bagging
method based on Na{\"i}ve Bayes produce a recall/sensitivity of 0.76, precision of 0.74,
and f1-score of 0.75, while the Na{\"i}ve Bayes algorithm produces a recall / sensitivity
of 0.65, precision of 0.85, and f1-score of 0.74.}
}