?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=KLASIFIKASI+ELECTRONIC+HEALTH+RECORD+(EHR)+MENGGUNAKAN+LONG+SHORT+TERM+MEMORY+(LSTM)+DAN+GATED+RECURRENT+UNIT+(GRU)&rft.creator=Zida+Bunga+Sobara+%2C+1917031091&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=The+use+of+an+Electronic+Health+Record+(EHR)+can+generate+a+lot+of+information+about+a+person's+health+digitally+and+can+be+used+as+the+main+consideration+factor+used+by+doctors+to+determine+the+next+course+of+action+for+patients%2C+whether+they+need+to+be+hospitalized+(in-patient+care)+or+out-patient+care.+The+importance+of+the+EHR+data+requires+the+hospital+to+be+responsive+in+determining+further+actions+for+patients.+This+study+aims+to+classify+EHR+data+using+the+LSTM+and+GRU+methods.+Both+of+these+methods+are+the+development+of+the+Recurrent+Neural+Network+(RNN)+method.+Based+on+the+results+of+its+accuracy%2C+the+LSTM+method+has+a+better+accuracy+value+than+the+GRU+method+in+classifying+EHR+data+with+an+accuracy+value+of+75.57%25+and+75.34%25+respectively.%0D%0AKeywords+%3A+Electronic+Health+Record%2C+treatment+classification%2C+patient's+laboratory+test+results%2C+LSTM%2C+and+GRU.%0D%0AElectronic+Health+Record+(EHR)+merupakan+data+medis+yang+dapat+menghasilkan+banyak+informasi+tentang+kesehatan+seseorang+secara+digital+dan+dapat+dijadikan+sebagai+faktor+pertimbangan+utama+yang+digunakan+oleh+dokter+dalam+menentukan+tindakan+lanjutan+bagi+pasien%2C+yaitu+apakah+pasien+perlu+dirawat+di+rumah+sakit+(rawat+inap)+atau+rawat+jalan.+Pentingnya+data+EHR+tersebut+mengharuskan+pihak+rumah+sakit+untuk+cepat+tanggap+dalam+menentukan+tindakan+lanjutan+bagi+pasien.+Penelitian+ini+bertujuan+untuk+melakukan+klasifikasi+data+EHR+dengan+menggunakan+metode+LSTM+dan+GRU.+Kedua+metode+tersebut+merupakan+perkembangan+dari+metode+Recurrent+Neural+Network+(RNN).+Berdasarkan+hasil+akurasinya%2C+metode+LSTM+memiliki+nilai+akurasi+yang+lebih+baik+dibandingkan+metode+GRU+dalam+mengklasifikasikan+data+EHR+dengan+nilai+akurasi+masing-masing+sebesar+75.57%25+dan+75.34%25.%0D%0AKata+kunci+%3A+Electronic+Health+Record%2C+klasifikasi+pelayanan%2C+hasil+tes+laboratorium+pasien%2C+LSTM%2C+dan+GRU.&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2023-06-20&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F73711%2F1%2F1.%2520ABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F73711%2F2%2F2.%2520SKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F73711%2F3%2F3.%2520SKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++Zida+Bunga+Sobara+%2C+1917031091++(2023)+KLASIFIKASI+ELECTRONIC+HEALTH+RECORD+(EHR)+MENGGUNAKAN+LONG+SHORT+TERM+MEMORY+(LSTM)+DAN+GATED+RECURRENT+UNIT+(GRU).++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F73711%2F