?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=OPTIMASI+HYPERPARAMETER+TUNING+MENGGUNAKAN%0D%0AGRIDSEARCHCV+PADA+METODE+RANDOM+FOREST+DAN+SUPPORT%0D%0AVECTOR+MACHINE+(SVM)+UNTUK+KLASIFIKASI+STATUS+INDEKS%0D%0APEMBANGUNAN+MANUSIA+DI+INDONESIA+TAHUN+2022&rft.creator=Nurul+Hidayah+%2C+Itsnaini%09&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.subject=510+Matematika&rft.description=Random+Forest+and+Support+Vector+Machine+(SVM)+methods+are+among+the%0D%0Atechniques+often+used+in+classification.+In+an+effort+to+build+an+optimal+classification%0D%0Amodel%2C+determining+the+right+parameters+or+known+as+hyperparameter+tuning%2C+is+a%0D%0A%0D%0Amajor+challenge+that+can+affect+the+performance+of+a+model%2C+and+Grid+Search+Cross-%0D%0AValidation+(GridSearchCV)+is+one+method+that+can+be+used+to+obtain+the+optimal%0D%0A%0D%0Ahyperparameters.+This+study+aims+to+optimize+hyperparameter+tuning+using%0D%0AGridSearchCV+to+improve+classification+accuracy+of+the+Human+Development%0D%0AIndex+(HDI)+status%2C+and+compare+the+performance+of+Random+Forest+and+SVM%0D%0Amodels.+The+analysis+results+show+that+the+use+of+GridSearchCV+is+effective+in%0D%0Aimproving+classification+accuracy+of+both+methods.+In+the+Random+Forest+method%0D%0Awith+a+data+split+of+80%25+training+data+and+20%25+testing+data%2C+there+was+an+increase%0D%0Ain+accuracy+from+97%2C31%25+to+98%2C38%25.+Similarly%2C+the+SVM+method+with+linear+kernel%0D%0Awith+a+data+split+of+70%25+training+data+and+30%25+testing+data%2C+which+achieved+an%0D%0Aaccuracy+value+from+98%2C2%25+to+99%2C28%25%2C+making+SVM+a+better+method+compared+to%0D%0ARandom+Forest+in+classifying+HDI+data.%0D%0A%0D%0AKeywords%3A+Classification%2C+Random+Forest%2C+SVM%2C+Hyperparameter+Tuning%2C%0D%0AGridSearchCV%2C+Human+Development+Index%0D%0A%0D%0AABSTRAK%0D%0A%0D%0AMetode+Random+Forest+dan+Support+Vector+Machine+(SVM)+merupakan+salah+satu%0D%0Ateknik+yang+sering+digunakan+dalam+pengklasifikasian.+Dalam+upaya+membangun%0D%0Amodel+klasifikasi+yang+optimal%2C+penentuan+parameter+yang+tepat%2C+atau+dikenal%0D%0Asebagai+hyperparameter+tuning%2C+menjadi+tantangan+utama+yang+dapat%0D%0Amempengaruhi+kinerja+suatu+model%2C+dan+metode+Grid+Search+Cross-Validation%0D%0A(GridSearchCV)+merupakan+salah+satu+metode+yang+dapat+dipilih+untuk%0D%0Amemperoleh+hyperparameter+yang+optimal.+Penelitian+ini+bertujuan+untuk%0D%0Amengoptimalkan+hyperparameter+tuning+menggunakan+GridSearchCV+guna%0D%0Ameningkatkan+akurasi+klasifikasi+terhadap+status+Indeks+Pembangunan+Manusia%0D%0A(IPM)%2C+serta+membandingkan+kinerja+model+Random+Forest+dan+SVM.+Hasil%0D%0Aanalisis+menunjukkan+bahwa+penggunaan+GridSearchCV+efektif+dalam%0D%0Ameningkatkan+akurasi+klasifikasi+kedua+metode.+Pada+metode+Random+Forest%0D%0Adengan+split+data+80%25+data+training+dan+20%25+data+testing%2C+terjadi+peningkatan%0D%0Aakurasi+dari+97%2C31%25+menjadi+98%2C38%25.+Begitu+pula+pada+metode+SVM+dengan%0D%0Akernel+linear+dengan+split+data+70%25+data+training+dan+30%25+data+testing%2C+yang%0D%0Amencapai+nilai+akurasi+dari+98%2C2%25+menjadi+99%2C28%25%2C+menjadikan+SVM+sebagai%0D%0Ametode+yang+lebih+baik+dibandingkan+dengan+Random+Forest+dalam%0D%0Amengklasifikasikan+data+IPM.%0D%0A%0D%0AKata+Kunci%3A+Klasifikasi%2C+Random+Forest%2C+SVM%2C+Hyperparameter+Tuning%2C%0D%0AGridSearchCV%2C+Indeks+Pembangunan+Manusia&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-04-18&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F81889%2F1%2F1.%2520ABSTRAK%2520-%2520Nurul%2520Hidayah%2520Itsnaini.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F81889%2F2%2F2.%2520SKRIPSI%2520FULL%2520-%2520Nurul%2520Hidayah%2520Itsnaini.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F81889%2F3%2F3.%2520SKRIPSI%2520TANPA%2520BAB%2520PMBAHASAN%2520-%2520Nurul%2520Hidayah%2520Itsnaini.pdf&rft.identifier=++Nurul+Hidayah+%2C+Itsnaini+++(2024)+OPTIMASI+HYPERPARAMETER+TUNING+MENGGUNAKAN+GRIDSEARCHCV+PADA+METODE+RANDOM+FOREST+DAN+SUPPORT+VECTOR+MACHINE+(SVM)+UNTUK+KLASIFIKASI+STATUS+INDEKS+PEMBANGUNAN+MANUSIA+DI+INDONESIA+TAHUN+2022.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F81889%2F