?url_ver=Z39.88-2004&rft_id=1817031052&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=ANALISIS+STRUKTUR+TERBAIK+ALGORITMA+ARTIFICIAL+NEURAL+NEWORK+UNTUK+MEMPREDIKSI+DAILY+INFLOW+BENDUNGAN+BATU+TEGI+MENGGUNAKAN+METODE+BACKPROPAGATION&rft.creator=INTAN+INDRIYANI%2C+1817031052&rft.subject=000+Ilmu+komputer%2C+informasi+dan+pekerjaan+umum&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Time+Series+merupakan+pengamatan+pada+variabel+tertentu+dari+masa+lalu+dan+dicatat+secara+berurutan+sesuai+dengan+urutan+waktu+dan+periode+yang+tetap.+Data+dari+waktu+lampau+debit+inflow+bendungan+Batu+Tegi+merupakan+salah+satu+data+time+series.+Bendungan+merupakan+salah+satu+sumber+daya+yang+berperan+penting+di+setiap+sektor+kehidupan.+Penelitian+ini+bertujuan+untuk+menjelaskan+prosedur+pembentukan+model+Feedforward+Neural+Network+(FFNN)+dengan+Algoritma+Backpropagation+dan+meramalkan+debit+inflow+menggunakan+model+tersebut.+Model+FFNN+dengan+algoritma+Backpropagation+ini+diterapkan+pada+data+debit+inflow+bulan+Januari+2018+sampai+Desember+2020+dengan+variabel+inputnya+yaitu+debit+inflow+Lag-1+Lag-2%2C+Lag-3%2C+Lag-4%2C+Lag-5%2C+Lag-6%2C+Lag-7%2C+Lag-9%2C+dan+Lag-10.+Struktur+jaringan+terbaik+yang+diperoleh+adalah+dengan+9+neuron+input%2C+9+neuron+pada+hidden+layer+pertama%2C+dan+4+neuron+pada+hidden+layer+kedua+nilai+threshold+0%2C01+dengan+menggunakan+fungsi+aktivasi+Sigmoid.+Dengan+menggunakan+struktur+jaringan+terbaik+didapatkan+nilai+MSE+sebesar+0%2C153388+dan+nilai+akurasi+sebesar+99%2C6687%25.+Hasil+peramalan+debit+inflow+untuk+periode+berikutnya+yaitu+tanggal+1+Januari+2021+sebesar+29%2C62063+m3%2Fdet%2C+untuk+peramalan+selanjutnya+dilakukan+dengan+cara+yang+sama.%0D%0A%0D%0AKata+kunci%3A+Feedforward+Neural+Network%2C+Backpropagation%2C+peramalan%2C+debit+inflow.%0D%0A%0D%0A%0D%0A%0D%0A%0D%0A%0D%0Aabstract%0D%0A%0D%0ATime+Series+is+an+observation+on+a+variable+from+the+past+and+recorded+sequentially+according+to+the+time+sequence+with+a+fixed+period.+Data+from+the+past+inflow+discharge+of+the+Batu+Tegi+dam+is+one+of+the+time+series+data.+Dams+are+one+of+the+resources+that+have+an+important+role+in+various+sectors+of+life.+The+purpose+of+this+study+is+to+explain+the+procedure+for+forming+a+Feedforward+Neural+Network+(FFNN)+model+with+the+Backpropagation+Algorithm+and+predict+the+inflow+discharge+using+this+model.+The+FFNN+model+with+the+Backpropagation+algorithm+is+applied+to+the+inflow+discharge+data+from+January+2018+to+December+2020+with+the+input+variables+being+inflow+discharge+Lag-1+Lag-2%2C+Lag-3%2C+Lag-4%2C+Lag-5%2C+Lag-6%2C+Lag-7%2C+Lag-9%2C+and+Lag-10.+The+best+network+structure+obtained+is+with+9+input+neurons%2C+9+neurons+in+the+first+hidden+layer%2C+and+4+neurons+in+the+second+hidden+layer%2C+a+threshold+value+of+0.01+using+the+Sigmoid+activation+function.+By+using+the+best+network+structure%2C+the+MSE+value+is+0.153388+and+the+accuracy+value+is+99.6687%25.+The+results+of+the+inflow+discharge+forecasting+for+the+next+period+on+January+1%2C+2021%2C+amounted+to+29.62063+m3%2Fs%2C+for+further+forecasting+it+is+done+in+the+same+way.%0D%0A%0D%0AKeywords%3A+Feedforward+Neural+Network%2C+Backpropagation%2C+predict%2C+inflow+discharge&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+&rft.date=2022-06-15&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63842%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63842%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F63842%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++INTAN+INDRIYANI%2C+1817031052++(2022)+ANALISIS+STRUKTUR+TERBAIK+ALGORITMA+ARTIFICIAL+NEURAL+NEWORK+UNTUK+MEMPREDIKSI+DAILY+INFLOW+BENDUNGAN+BATU+TEGI+MENGGUNAKAN+METODE+BACKPROPAGATION.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAHUAN+ALAM+%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F63842%2F