?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IMPLEMENTASI+MODEL+HYBRID+CONVOLUTIONAL+NEURAL%0D%0ANETWORK+DAN+BIDIRECTIONAL+LONG+SHORT-TERM+MEMORY%0D%0AUNTUK+ANALISIS+TINGKAT+KEPUASAN+PENGGUNA%0D%0A%0D%0AAPLIKASI+HALODOC&rft.creator=Arif+%2C+Su'admaji%09&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.subject=510+Matematika&rft.description=Perkembangan+teknologi+mengakibatkan+terjadinya+kemajuan+teknologi+sehingga%0D%0Amemunculkan+berbagai+jenis+layanan+yang+memudahkan+akses+terhadap+fasilitas%0D%0Apelayanan+termasuk+pelayanan+kesehatan+dan+mendorong+pengembangan+berbagai%0D%0Ajenis+aplikasi.+Aplikasi+penyedia+layanan+kesehatan+pilihan+masyarakat+salah%0D%0Asatunya+yaitu+aplikasi+Halodoc.+Ulasan+dan+rating+dapat+menjadi+informasi+bagi%0D%0Apengguna+lainnya+mengenai+kualitas+pelayanan+dari+aplikasi+Halodoc.+Oleh+karena%0D%0Aitu%2C+diperlukan+cara+yang+tepat+untuk+menganalisis+kepuasan+pelanggan+terhadap%0D%0Apelayanan+aplikasi+Halodoc.+Metode+Deep+learning+yang+dapat+digunakan+untuk%0D%0Amelakukan+klasifikasi+data+teks+adalah+Convolutional+Neural+Network+(CNN)%2C%0D%0ALong+Short-Term+Memory+(LSTM)%2C+dan+Bidirectional+Long+Short-Term+Memory%0D%0A(BiLSTM).+Penelitian+ini+menerapkan+resampling+data+menggunakan+random%0D%0Aoversampling%2C+word+embedding+menggunakan+Word2Vec%2C+dan+hyperparameter%0D%0Atuning+menggunakan+Grid+Search.+Setelah+dilakukan+pengujian+hyperparameter%0D%0Atuning+didapatkan+nilai+learning+rate+dan+nilai+batch+size+terbaik%2C+yaitu+batch+size%0D%0Adengan+nilai+64+dan+learning+rate+dengan+nilai+1+%C3%97+10%E2%88%923%0D%0A%0D%0A.+Secara+umum+arsitektur%0D%0Amodel+hybrid+CNN-BiLSTM+yang+dibangun+dalam+penelitian+ini+yaitu+lapisan%0D%0Aembedding%2C+lapisan+konvolusi%2C+lapisan+pooling%2C+lapisan+BiLSTM%2C+flatten%2C+lapisan%0D%0Afully+connected%2C+dan+lapisan+output.+Hasil+perhitungan+menunjukan+bahwa+tingkat%0D%0Aaccuracy+dari+model+hybrid+CNN-BiLSTM+yang+telah+dibangun+mampu%0D%0Amengklasifikasikan+rating+dari+ulasan+pengguna+aplikasi+Halodoc+dengan%0D%0Akeakuratan+mencapai+98%2C71%25+saat+COVID-19+dan+98%2C16%25+setelah+COVID-19.%0D%0A%0D%0AKata+Kunci%3A+Hybrid+CNN-BiLSTM%2C+Deep+Learning%2C+Text+Mining%2C+Halodoc.Technological+developments+have+resulted+in+technological+advances+that+have+led%0D%0Ato+various+types+of+services+that+facilitate+access+to+service+facilities%2C+including%0D%0Ahealth+services%2C+and+encourage+the+development+of+various+types+of+applications.%0D%0AOne+of+the+health+service+provider+applications+chosen+by+the+community+is+the%0D%0AHalodoc+application.+Reviews+and+ratings+can+be+information+for+other+users%0D%0Aregarding+the+quality+of+service+from+the+Halodoc+application.+Therefore%2C+an%0D%0Aappropriate+way+is+needed+to+analyze+customer+satisfaction+with+Halodoc%0D%0Aapplication+services.+Deep+learning+methods+that+can+be+used+to+classify+text+data%0D%0Aare+Convolutional+Neural+Network+(CNN)%2C+Long+Short-Term+Memory+(LSTM)%2C%0D%0Aand+Bidirectional+Long+Short-Term+Memory+(BiLSTM).+This+research+applies+data%0D%0Aresampling+using+random+oversampling%2C+word+embedding+using+Word2Vec%2C+and%0D%0Ahyperparameter+tuning+using+Grid+Search.+After+testing+the+hyperparameter+tuning%2C%0D%0Athe+best+learning+rate+and+batch+size+value+are+obtained%2C+namely+batch+size+with+a%0D%0Avalue+of+64+and+learning+rate+with+a+value+of+1+%C3%97+10%E2%88%923%0D%0A%0D%0A.+In+general%2C+the+architecture%0D%0Aof+the+CNN-BiLSTM+hybrid+model+built+in+this+study+is+the+embedding+layer%2C%0D%0Aconvolutional+layer%2C+pooling+layer%2C+BiLSTM+layer%2C+flatten%2C+fully+connected+layer%2C%0D%0A%0D%0Aand+output+layer.+The+calculation+results+show+that+the+accuracy+level+of+the+CNN-%0D%0ABiLSTM+hybrid+model+that+has+been+built+is+able+to+classify+ratings+from+Halodoc%0D%0A%0D%0Aapplication+user+reviews+with+accuracy+reaching+98.71%25+during+COVID-19+and%0D%0A98.16%25+after+COVID-19.%0D%0A%0D%0AKeywords%3A+Hybrid+CNN-BiLSTM%2C+Deep+Learning%2C+Text+Mining%2C+Halodoc.%0D%0A&rft.publisher=MATEMATKA+DAN+ILMU+PENGETAHUAN&rft.date=2024-05-14&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F85424%2F1%2F2017031039_SKRIPSI%2520ABSTRAK%2520-%2520arif%2520arif%2520%25281%2529.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F85424%2F2%2F2017031039_Arif%2520Suadmaji_SKRIPSI%2520TANPA%2520LAMPIRAN%2520-%2520arif%2520arif%2520%25281%2529.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F85424%2F3%2F2017031039_SKRIPSI%2520TANPA%2520PEMBAHASAN%2520-%2520arif%2520arif%2520%25281%2529.pdf&rft.identifier=++Arif+%2C+Su'admaji+++(2024)+IMPLEMENTASI+MODEL+HYBRID+CONVOLUTIONAL+NEURAL+NETWORK+DAN+BIDIRECTIONAL+LONG+SHORT-TERM+MEMORY+UNTUK+ANALISIS+TINGKAT+KEPUASAN+PENGGUNA+APLIKASI+HALODOC.++MATEMATKA+DAN+ILMU+PENGETAHUAN%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F85424%2F