?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=SISTEM+KEHADIRAN+PEMUSTAKA+MENGGUNAKAN+FACE%0D%0A%0D%0ARECOGNITION&rft.creator=Dita+Nur+Isnayni%2C+1615061002&rft.subject=620+Ilmu+teknik+dan+ilmu+yang+berkaitan&rft.description=Computer+vision+merupakan+bidang+studi+yang+berkaitan+dengan+teknik%0D%0Apengembangan+untuk+membantu+komputer+memahami+konten+gambar+digital%0D%0Aseperti+foto+dan+video.+Salah+satu+pengaplikasian+Computer+Vision+adalah+Face%0D%0ARecognition.+Face+Recognition+dapat+digunakan+sebagai+daftar+hadir+pemustaka+di%0D%0Aperpustakaan+Universitas+Lampung.+Dalam+membangun+face+recognition+sebagai%0D%0Adaftar+hadir+pemustaka+ini+menggunakan+algoritma+deteksi+YOLO+sebagai%0D%0Aalgoritma+deteksi+objek%2C+SQL+database+sebagai+penyimpan+data+mahasiswa+dan+data%0D%0Apemustaka+yang+dikenali+sistem+serta+menggunakan+NodeJS+untuk+membangun%0D%0Ahalaman+report.%0D%0AAlgoritma+YOLO+yang+digunakan+untuk+melatih+dataset+yaitu+YOLOv5%0D%0Adengan+model+versi+small.+Dataset+yang+digunakan+sebanyak+2.334+data+dengan%0D%0Adata+train+sebanyak+1636%2C+data+validation+sebanyak+466%2C+dan+data+test+sebanyak+232.%0D%0ADari+2.334+data+ini+dibagi+menjadi+10+kelas+yang+dilatih+sebagai+sample.+Sebelum%0D%0Adata+dilatih+data+terlebih+dahulu+dilakukan+menyeragaman+data+atau+pre-processing%0D%0Adata+seperti+resize+416*416+pixel.+Pre-processing+data+menggunakan+platform%0D%0ARoboflow.+Hasil+pelatihan+sistem+menghasilkan+weight+yang+digunakan+untuk%0D%0Apengujian+deteksi+objek.+Model+weight+yang+telah+dibangun+dilakukan+penilaian%0D%0Amenggunakan+confusion+matrix+multiclass+untuk+mendapat+nilai+akurasi%2C+recall+dan%0D%0Aprecission.%0D%0A%0D%0ABerdasarkan+perhitungan+menggunakan+confusion+matrix+multiclass.+Sistem%0D%0Akehadiran+pemustaka+menggunakan+face+recognition+memiliki+nilai+rata-rata%0D%0Aakurasi+sebesar+92.7%25+pada+pengujian+foto+dan+87%2C35%25+pada+pengujian+video+serta%0D%0Amemiliki+nilai+rata-rata+recall+dan+precision+sebesar+87.35%25+pada+pengujian%0D%0Amenggunakan+foto.dan+74.09%25+pada+pengujian+video.+Sistem+daftar+hadir%0D%0Apemustaka+ini+berhasil+mengenali+wajah+telah+dilatih+datanya+dan+berhasil%0D%0Amenyimpan+wajah+yang+dikenali+ke+dalam+database.+Penelitian+ini+menggunakan%0D%0Ametode+Kanban+dengan+total+5+antrian+pekerjaan+pada+backlog.%0D%0AKata+kunci%3A+YoloV5%2C+Roboflow%2C+SQL+database%2C+Javascript%2C+dan+Confusion+Matrix%0D%0AComputer+vision+is+a+field+of+study+that+deals+with+development+techniques+to%0D%0Ahelp+computers+understand+the+content+of+digital+images+such+as+photos+and+videos.%0D%0AOne+application+of+Computer+Vision+is+Face+Recognition.+Face+Recognition+can+be%0D%0Aused+as+an+attendance+list+for+users+at+the+University+of+Lampung+library.+In%0D%0Abuilding+face+recognition+as+a+user+attendance+list%2C+we+use+the+YOLO+detection%0D%0Aalgorithm+as+an+object+detection+algorithm%2C+SQL+database+to+store+student+data+and%0D%0Auser+data+recognized+by+the+system%2C+and+use+NodeJS+to+build+report+pages.%0D%0AThe+YOLO+algorithm+used+to+train+the+dataset+is+YOLOv5+with+a+small+version%0D%0Aof+the+model.+The+dataset+used+is+2%2C334+data+with+1636+train+data%2C+466+validation%0D%0Adata%2C+and+232+test+data.+From+2%2C334+this+data+is+divided+into+10+classes+that+are%0D%0Atrained+as+samples.+Before+the+data+is+trained%2C+the+data+is+first+carried+out+uniformly%0D%0Aor+pre-processing+the+data%2C+such+as+resizing+416*416+pixels.+Pre-processing+data%0D%0Ausing+the+Roboflow+platform.+The+results+of+the+system+training+produce+weights%0D%0Athat+are+used+for+object+detection+testing.+The+weighted+model+that+has+been+built+is%0D%0Aassessed+using+a+multiclass+confusion+matrix+to+get+accuracy%2C+recall%2C+and+precision%0D%0Avalues.%0D%0ABased+on+calculations+using+a+multiclass+confusion+matrix.+The+user%0D%0Aattendance+system+using+face+recognition+has+an+average+accuracy+value+of+92.7%25%0D%0Ain+photo+testing+and+87.35%25+in+video+testing+and+has+an+average+recall+and%0D%0Aprecision+value+of+87.35%25+in+photo+testing+and+74.09%25+in+video+testing.+This+user%0D%0Aattendance+list+system+has+succeeded+in+recognizing+faces%2C+having+trained+the+data%2C%0D%0Aand+successfully+saving+the+recognized+faces+into+the+database.+This+study+uses+the%0D%0AKanban+method+with+a+total+of+5+work+queues+in+the+backlog.%0D%0AKeywords+%3A+YoloV5%2C+Roboflow%2C+SQL+database%2C+Javascript%2C+dan+Confusion+Matrix&rft.publisher=FAKULTAS+TEKNIK&rft.date=2021&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F61931%2F1%2FABSTRAK_Dita%2520Nur%2520Isnayni%2520-%2520dita%2520isnayni.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F61931%2F2%2FFull_Skripsi_Dita%2520Nur%2520Isnayni_1615061002%2520%2520-%2520dita%2520isnayni.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F61931%2F3%2FTanpa%2520pembahasan_REV_Skripsi_Dita%2520Nur%2520Isnayni_1615061002%2520-%2520dita%2520isnayni.pdf&rft.identifier=++Dita+Nur+Isnayni%2C+1615061002++(2021)+SISTEM+KEHADIRAN+PEMUSTAKA+MENGGUNAKAN+FACE+RECOGNITION.++FAKULTAS+TEKNIK%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F61931%2F