?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=IMPLEMENTASI+RECURRENT+NEURAL+NETWORK%0D%0A%0D%0ABIDIRECTIONAL+LONG+SHORT-TERM+MEMORY+PADA+SISTEM+TEMU%0D%0AKEMBALI+INFORMASI+PUBLIKASI+ILMIAH+DOSEN+UNIVERSITAS%0D%0A%0D%0ALAMPUNG&rft.creator=Irvandra+%2C+Dwidya+Agsatra&rft.subject=600+Teknologi+(ilmu+terapan)&rft.description=ABSTRAK%0D%0APertumbuhan+data+yang+pesat+dan+pentingnya+teknologi+informasi+dalam+dunia%0D%0Apendidikan+telah+menimbulkan+tantangan+baru+dalam+mengakses+dan+mengelola%0D%0Ainformasi+yang+relevan%2C+khususnya+dalam+konteks+data+publikasi+ilmiah+dari%0D%0ARepository+Lembaga+Penelitian+dan+Pengabdian+kepada+Masyarakat+Universitas%0D%0ALampung.+Penelitian+ini+bertujuan+untuk+menjawab+tantangan+tersebut+dengan%0D%0Amengimplementasikan+model+Bidirectional+Long+Short-Term+Memory+(BiLSTM)%0D%0Auntuk+mengklasifikasikan+fokus+riset+dan+mengembangkan+web+service+temu%0D%0Akembali+informasi+untuk+merekomendasikan+publikasi+ilmiah.+Web+service+temu%0D%0Akembali+informasi+ini+memanfaatkan+model+yang+dilatih+dengan+BiLSTM+dan%0D%0Acosine+similarity+untuk+memberikan+rekomendasi+tentang+relevansi+publikasi+ilmiah%0D%0Aberdasarkan+input+pengguna+dan+dataset+yang+disediakan.+Implementasi+BiLSTM%0D%0Adiharapkan+dapat+meningkatkan+efisiensi+dan+akurasi+temu+kembali+informasi+untuk%0D%0Amembantu+pencarian+publikasi+ilmiah+yang+relevan+dan+mengkategorikannya%0D%0Aberdasarkan+fokus+riset.+Hasil+evaluasi+menunjukkan+bahwa+model+tersebut%0D%0Amemperoleh+akurasi+sebesar+0%2C8844.+Hal+ini+menunjukkan+efektivitasnya+dalam%0D%0Amembantu+pencarian+publikasi+yang+relevan.%0D%0AKata+kunci%3A+Temu+Kembali+Informasi%2C+Natural+Language+Processing%2C+Bidirectional%0D%0ALong-Short+Term+Memory+(BiLSTM)%2C+Publikasi+Ilmiah%2C+Fokus+Riset%0D%0A%0D%0AABSTRACT%0D%0AThe+rapid+data+growth+and+the+increasing+importance+of+information+technology+in%0D%0Aeducation+have+led+to+new+challenges+in+accessing+and+managing+relevant%0D%0Ainformation%2C+especially+in+the+context+of+scientific+publication+data+from+the%0D%0ARepository+of+the+Research+and+Community+Service+Institute+of+the+University+of%0D%0ALampung.+This+study+aims+to+address+these+challenges+by+implementing+the%0D%0ABidirectional+Long+Short-Term+Memory+(BiLSTM)+model+to+classify+research%0D%0Afocus+and+develop+an+information+retrieval+web+service+to+recommend+scientific%0D%0Apublications.+The+information+retrieval+web+service+utilizes+a+model+trained+with%0D%0ABiLSTM+and+cosine+similarity+to+provide+recommendations+on+the+relevance+of%0D%0Ascientific+publications+based+on+user+input+and+the+dataset+provided.+The%0D%0Aimplementation+of+BiLSTM+is+expected+to+enhance+the+efficiency+and+accuracy+of%0D%0Ainformation+retrieval+to+assist+in+the+search+for+relevant+scientific+publications+and%0D%0Acategorizing+them+based+on+research+focus.+The+evaluation+results+show+that+the%0D%0Amodel+obtained+an+accuracy+of+0.8844.+This+demonstrates+its+effectiveness+in%0D%0Aassisting+in+the+search+for+relevant+publications.%0D%0AKeywords%3A+Information+Retrieval%2C+Natural+Language+Processing%2C+Bidirectional%0D%0ALong-Short+Term+Memory+(BiLSTM)%2C+Scientific+Publication%2C+Research+Focus&rft.publisher=MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM&rft.date=2024-06-25&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F81390%2F1%2Fopen%255B1%255D&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F81390%2F2%2Fopen%255B1%255D&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F81390%2F3%2Fopen%255B1%255D&rft.identifier=++Irvandra+%2C+Dwidya+Agsatra++(2024)+IMPLEMENTASI+RECURRENT+NEURAL+NETWORK+BIDIRECTIONAL+LONG+SHORT-TERM+MEMORY+PADA+SISTEM+TEMU+KEMBALI+INFORMASI+PUBLIKASI+ILMIAH+DOSEN+UNIVERSITAS+LAMPUNG.++MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F81390%2F