eprintid: 39252
rev_number: 10
eprint_status: archive
userid: 12259
dir: disk0/00/03/92/52
datestamp: 2020-05-09 02:37:04
lastmod: 2020-05-09 02:37:04
status_changed: 2020-05-09 02:37:04
type: thesis
metadata_visibility: show
creators_name: Sekar Minati, NIM. 16650023
title: STUDI KOMPARASI ENSEMBLE METHOD: BOOTSTRAP AGGREGATING (BAGGING) DAN ADAPTIVE
ispublished: pub
subjects: TA
divisions: jur_tind
full_text_status: restricted
keywords: text mining, classification, ensemble, bagging, adaboost, al-quran, thematic, Islamic articles
note: Muhammad Didik Rohmad Wahyudi, S.T., MT.
abstract: Al-Qur'an is a way of life for Muslims which is a source of knowledge, policy, and law. In order to make it easier for the public to learn and understand the Al-Qur'an, one method of interpretation is namely thematic, and the Al-Qur'an index was created to make it easier to search for verses according to its theme.
This research to improve the learning outcomes of Qur’an's Ministry of Religion Republic Indonesia and Al-Qur'an Al-Hadi thematic Qur’an classification using ensemble learning methods: Bootstrap Aggregating (Bagging) and Adaptive Boosting (AdaBoost). Both of these methods tested by doing prediction to searching the proof related to Islamic articles.
Bagging and AdaBoost methods can improve classification learning outcomes with the base estimator algorithm Decision Tree classification with the average test results of the two indices obtained the value of precision 0.49, recall 0.48, f1-score 0.49, accuracy 54%, and cross-validation evaluation of 31% in Bagging method and precision 0.25, recall 0.18, f1-score of 0.16, accuracy 34%, and evaluation of cross-validation of 32% on AdaBoost.
date: 2020-02-13
date_type: published
pages: 133
institution: UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   Sekar Minati, NIM. 16650023  (2020) STUDI KOMPARASI ENSEMBLE METHOD: BOOTSTRAP AGGREGATING (BAGGING) DAN ADAPTIVE.  Skripsi thesis, UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/39252/1/16650023_BAB%20I_BAB_TERAKHIR_DAFTAR_PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/39252/2/16650023_BAB%20II_S.D._SEBELUM_BAB_TERAKHIR.pdf