?url_ver=Z39.88-2004&rft_id=1817031037&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IMPLEMENTASI+METODE+RANDOM+FOREST+PADA+KLASIFIKASI+CHURN+CUSTOMER&rft.creator=LUTFIA+HUMAIROSI%2C+1817031037&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Banking+industry+is+growing+each+year%2C+it+results+in+high+market+competition.+The+movement+of+customers+from+one+company+to+another+that+generates+customers+within+a+certain+time+interval+of+customer+churn.+The+case+of+customer+transfer+needs+to+be+studied+by+predicting+the+behavior+of+customers+who+leave+the+company+and+the+company+can+retain+customers.+This+problem+can+be+handled+by+classify+customer+behavior+based+on+previous+available+data.+This+study+uses+the+random+forest+method+with+a+best+composition+of+90%25+used+as+training+data%2C+and+10%25+of+the+data+used+as+test+data%2C+the+best+parameters+obtained+are+400+n_estimators%2C+40+max_depth%2C+and+Synthetic+Minority+Over-Sampling+Technique+(SMOTE)+is+used+to+handle+imbalanced+data%2C+the+model+accuracy+is+90%2C83%25%2C+the+precision+value+is+89%2C29%25%2C+and+the+recall+value+is+92%2C07%25%2C+and+the+f1-score+value+is+90%2C66%25.%0D%0AKeywords%3A+Churn+Customer%2C+Machine+Learning%2C+Random+Forest%2C+SMOTE%0D%0A%0D%0AIndustri+perbankan+semakin+meningkat+setiap+tahunnya%2C+hal+ini+mengakibatkan+semakin+tinggi+persaingan+perlakuan+terhadap+customer.+Perpindahan+customer+dari+suatu+perusahaan+ke+perusahaan+lain+yang+mengakibatkan+hilangnya+customer+dalam+selang+waktu+tertentu+dinamakan+churn+customer.+Kasus+perpindahan+customer+perlu+dikaji+dengan+memprediksi+perilaku+customer+yang+berpotensi+meninggalkan+perusahaan+dan+peusahaan+dapat+mempertahankan+customer.+Permasalahan+tersebut+dapat+ditangani+dengan+cara+melakukan+klasifikasi+perilaku+customer+berdasarkan+data+yang+ada+sebelumnya.+Penelitian+ini+menggunakan+metode+random+forest+dengan+komposisi+terbaik+sebesar+90%25+digunakan+sebagai+data+latih+dan+10%25+data+digunakan+sebagai+data+uji%2C+didapatkan+parameter+terbaik+berupa+400+n_estimators%2C+40+max_depth%2C+dan+digunakan+Synthetic+Minority+Over-Sampling+Technique+(SMOTE)+untuk+menangani+imbalanced+data%2C+dihasilkan+nilai+akurasi+model+sebesar+90%2C83%25%2C+nilai+precision+sebesar+89%2C29%25%2C+nilai+recall+sebesar+92%2C07%25%2C+dan+nilai+f1-score+sebesar+90%2C66%25.%0D%0AKata+kunci%3A+Churn+Customer%2C+Machine+Learning%2C+Random+Forest%2C+SMOTE&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+&rft.date=2022-10-05&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F67327%2F1%2F1.%2520ABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F67327%2F2%2F2.%2520SKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F67327%2F3%2F3.%2520SKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++LUTFIA+HUMAIROSI%2C+1817031037++(2022)+IMPLEMENTASI+METODE+RANDOM+FOREST+PADA+KLASIFIKASI+CHURN+CUSTOMER.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F67327%2F