?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=ANALISIS+SENTIMEN+TERHADAP+BAKAL+CALON+PRESIDEN+2024%0D%0ADI+INDONESIA+MENGGUNAKAN+DATA+TWITTER+DENGAN+ALGORITMA%0D%0ANA%C3%8FVE+BAYES+CLASSIFIER+DAN+SUPPORT+VECTOR+MACHINE&rft.creator=ATIQAH+%2C+HANIFAH+SHALIHAH&rft.subject=620+Ilmu+teknik+dan+ilmu+yang+berkaitan&rft.description=Indonesia+merupakan+negara+demokrasi%2C+hal+ini+ditunjukkan+dengan+adanya%0D%0Apemilihan+presiden+yang+dilakukan+setiap+lima+tahun+sekali.+Pada+tahun+2024%0D%0AIndonesia+kembali+akan+melaksanakan+pilpres%2C+tentunya+ini+menjadi+topik+yang%0D%0Ahangat+diperbincangkan+oleh+masyarakat%2C+khususnya+mengenai+bakal+calon%0D%0Apresiden+yang+akan+mencalonkan+diri.+Penelitian+ini+bertujuan+untuk+melakukan%0D%0Aklasifikasi+tweet+dan+melakukan+analisis+sentimen+terhadap+opini+yang+disampaikan%0D%0Aoleh+masyarakat+melalui+twitter+menggunakan+metode+Cross-Industry+Standard%0D%0AProcess+for+Data+Mining+(CRISP-DM).+Model+klasifikasi+ini+dibangun+dengan%0D%0Amenggunakan+algoritma+machine+learning+yaitu+Na%C3%AFve+Bayes+Classifier+dan%0D%0ASupport+Vector+Machine.+Penelitian+ini+berfokus+pada+dua+kandidat+calon+presiden%0D%0Ayaitu+Anies+Baswedan+dan+Ganjar+Pranowo.+Dataset+pada+penelitian+ini+terdiri+atas%0D%0A3000+data+tweet+pada+masing-masing+dataset+dengan+pembagian+kelas+pada+data%0D%0Ayang+tidak+seimbang%2C+dimana+persentase+distribusi+untuk+label+positif+sebesar%0D%0A46.60%25%2C+netral+sebesar+16.10+%25%2C+dan+negatif+sebesar+37.30%25+untuk+dataset+Anies%0D%0ABaswedan.+Sementara+pada+dataset+tokoh+Ganjar+Pranowo+memiliki+persentase%0D%0Adistribusi+untuk+label+positif+sebesar+58.83%25%2C+netral+sebesar+16.77%25%2C+dan+negatif%0D%0Asebesar+24.40%25.+Hasil+penelitian+menunjukkan+bahwa+dengan+menggunakan%0D%0Ametode+evaluasi+classification+report+algoritma+na%C3%AFve+bayes+classifier+memiliki%0D%0Aperforma+yang+lebih+tinggi+pada+dataset+Ganjar+Pranowo+dengan+nilai+akurasi%0D%0Asebesar+92%25+dan+nilai+weighted+avg+f1-score+sebesar+92%25+%2C+lalu+pada+dataset+Anies%0D%0ABaswedan+diperoleh+nilai+akurasi+sebesar+87%25+dengan+nilai+weighted+avg+f1-score%0D%0Asebesar+87%25.+Sementara+pada+algoritma+SVM+diperoleh+nilai+akurasi+sebesar+88%25%0D%0Auntuk+dataset+Anies+Baswedan+dengan+nilai+weighted+avg+f1-score+sebesar+88%25%0D%0Adan+diperoleh+nilai+akurasi+sebesar+82%25+dengan+nilai+weighted+avg+f1-score+sebesar%0D%0A80%25+untuk+dataset+Ganjar+Pranowo.+Hasil+tersebut+menjadikan+bahwa+algoritma%0D%0Ana%C3%AFve+bayes+classifier+cenderung+memiliki+performa+yang+lebih+baik+daripada%0D%0Aalgoritma+SVM+dalam+melakukan+pengklasifikasian+sentimen.+Selain+itu+hasil%0D%0Aanalisis+data+menunjukkan+bahwa+opini+yang+diberikan+oleh+masyarakat+pada%0D%0Amasing-masing+dataset+memiliki+presentase+sentimen+positif+yang+cukup+besar+hal%0D%0Aini+menunjukkan+bahwa+tokoh+Anies+Baswedan+dan+Ganjar+Pranowo+memperoleh%0D%0Arespon+yang+baik+dari+masyarakat.%0D%0AKata+Kunci%3A+Analisis+Semtimen%2C+Calon+Presdiden%2C+Na%C3%AFve+Bayes+Classifier%2C+Support%0D%0AVector+Machine%2C+CRISP-DM%2C+Twitter%0D%0A%0D%0AABSTRACT%0D%0A%0D%0ASENTIMENT+ANALYSIS+ON+2024+PRESIDENTIAL+CANDIDATES%0D%0AIN+INDONESIA+USING+TWITTER+DATA+WITH+NA%C3%8FVE+BAYES%0D%0ACLASSIFIER+AND+SUPPORT+VECTOR+MACHINE+ALGORITHMS.%0D%0A%0D%0ABy%0D%0A%0D%0AATIQAH+HANIFAH+SHALIHAH%0D%0A%0D%0AIndonesia+is+a+democratic+country%2C+this+is+shown+by+the+presidential+election+that+is%0D%0Aheld+every+five+years.+In+2024%2C+Indonesia+is+set+to+hold+another+presidential+election%2C%0D%0Awhich+has+become+a+hot+discussed+topic+among+the+public%2C+particularly+regarding%0D%0Athe+potential+candidates+who+will+be+running+for+office.+Many+people+voice+their%0D%0Athoughts+and+opinion+regarding+the+presidential+candidates+vying+for+office+by%0D%0Ameans+of+tweets+on+the+popular+social+media+platform%2C+Twitter.+This+research+aims%0D%0A%0D%0Ato+classify+tweets+and+conduct+sentiment+analysis+on+public+opinion+using+the+Cross-%0D%0AIndustry+Standard+Process+for+Data+Mining+(CRISP-DM)+method.+This%0D%0A%0D%0Aclassification+model+is+built+using+machine+learning+algorithms%2C+namely+Na%C3%AFve%0D%0ABayes+Classifier+and+Support+Vector+Machine.+This+study+focuses+on+two%0D%0Apresidential+candidates%2C+Anies+Baswedan+and+Ganjar+Pranowo.+The+dataset%0D%0Acontains+3000+tweets+in+each+dataset+with+an+imbalanced+class+distribution.+The%0D%0Apercentage+distribution+for+the+labels+in+the+Anies+Baswedan+dataset+is+46.60%25%0D%0Apositive%2C+16.10%25+neutral%2C+and+37.30%25+negative.+Meanwhile%2C+the+percentage%0D%0Adistribution+for+the+labels+in+the+Ganjar+Pranowo+dataset+is+58.83%25+positive%2C%0D%0A16.77%25+neutral%2C+and+24.40%25+negative.+The+results+show+that+using+classification%0D%0Areport+evaluation+method%2C+the+na%C3%AFve+bayes+classifier+algorithm+has+a+higher%0D%0Aperformance+on+the+Ganjar+Pranowo%2C+achieving+an+accuracy+of+92%25.+and+a%0D%0Aweighted+average+f1-score+of+92%25.+Meanwhile%2C+for+the+Anies+Baswedan+dataset%2C+an%0D%0Aaccuracy+of+87%25+with+a+weighted+average+f1-score+of+87%25+was+obtained.+For+the%0D%0ASVM+algorithm%2C+an+accuracy+of+88%25+was+obtained+for+the+Anies+Baswedan+dataset%0D%0Awith+a+weighted+average+f1-score+of+88%25%2C+and+an+accuracy+of+82%25+with+a+weighted%0D%0Aaverage+f1-score+of+80%25+was+obtained+for+the+Ganjar+Pranowo+dataset.+Based+on%0D%0Athe+results%2C+it+can+be+observed+that+the+na%C3%AFve+bayes+classifier+algorithm+outperforms%0D%0Athe+SVM+algorithm+in+sentiment+classification.+Furthermore%2C+the+data+analysis%0D%0Areveals+that+the+public's+opinions+on+each+dataset+have+a+fairly+large+percentage+of%0D%0Apositive+sentiments.+This+indicates+that+Anies+Baswedan+and+Ganjar+Pranowo%0D%0Afigures+have+garnered+a+favorable+response+from+the+public.%0D%0AKeywords%3A+Sentiment+Analysis%2C+presidential+candidates%2C+Na%C3%AFve+Bayes+Classifier%2C%0D%0ASupport+Vector+Machine%2C+CRISP-DM%2C+Twitter&rft.publisher=FAKULTAS+TEKNIK&rft.date=2024-05-07&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86649%2F1%2FAbstrak-Abstract%2520-%2520Atiqah%2520Hanifah.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86649%2F2%2FSKRIPSI%2520FULL%2520-%2520Atiqah%2520Hanifah.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F86649%2F3%2FSKRIPSI%2520TANPA%2520PEMBAHASAN%2520-%2520Atiqah%2520Hanifah.pdf&rft.identifier=++ATIQAH+%2C+HANIFAH+SHALIHAH++(2024)+ANALISIS+SENTIMEN+TERHADAP+BAKAL+CALON+PRESIDEN+2024+DI+INDONESIA+MENGGUNAKAN+DATA+TWITTER+DENGAN+ALGORITMA+NA%C3%8FVE+BAYES+CLASSIFIER+DAN+SUPPORT+VECTOR+MACHINE.++FAKULTAS+TEKNIK%2C+UNIVERISTAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F86649%2F