?url_ver=Z39.88-2004&rft_id=1415031022&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=RANCANG+BANGUN+ALAT+PENYORTIR+BUAH+TOMAT+BERBASIS+METODE+JARINGAN+SYARAF+TIRUAN+MENGGUNAKAN+NODEMCU+VERSI+1.0&rft.creator=Ardhi+Istiadi%2C+14150301022&rft.subject=Teknik+Elektro.+Rekayasa+elektronik+Nuklir&rft.description=Buah+tomat+memiliki+mutu+dan+kematangan++yang+berbeda-beda%2C+hal+ini+menjadi+permasalahan+dalam+penyortiran+karena+sering+terjadi+salah+penempatan+grade+pemasaran+buah+tomat+tersebut+serta+membutuhkan+waktu+yang+lama+dalam+penyortiran.+Salah+satu+solusi+yang+ditawarkan+untuk+mengatasi+masalah+tersebut+adalah+sebuah+sistem+penyortiran+buah+tomat+berbasis+metode+jaringan+syaraf+tiruan+yang+mampu+meminimalisir+waktu+penyortiran+dan+menempatkan+buah+tomat+sesuai+grade.+Pada+penelitian+ini+dibuat+model+sistem+jaringan+syaraf+tiruan+metode+backpropagation+pada+microcontroller+NodeMCU+Lua+versi+1.0.+Metode+++jaringan+syaraf+tiruan+dimanfaatkan+++untuk+memproses+citra+objek+buah+tomat+yang+bergerak+melalui+conveyor+berupa+nilai+RGB+yang+ditangkap+oleh+sensor+warna+TCS+3200%2C+citra+yang+diperoleh+dapat+mengklasifikasikan+grade+buah+tomat+tersebut+menjadi+mentah%2C+setengah+matang+dan+matang.+Penelitian+ini+membandingkan+hasil+pelatihan+dan+pengujian+jaringan+syaraf+tiruan+antara+Matlab+R2015a+dan+NodeMCU+versi+1.0.+Hasil+keluaran%2Fkeputusan+jaringan+syaraf+tiruan+tersebut+akan+diteruskan+ke+sistem+pengendali+berupa+perangkat+keras+dan+perangkat+lunak+yang+digunakan+pada+penelitian+ini.+Hasil+pengujian+menunjukkan+bahwa+model+penyortiran+buah+tomat+berhasil+mengklasifikasikan+grade+buah+tomat%2C+mampu+mengendalikan+motor+servo+dan+motor+DC+secara+otomatis+berdasarkan+nilai+RGB+dengan+waktu+proses+sekitar+5+detik+serta+error+8%2C3%25.%0D%0A%0D%0AKata+Kunci%3A+Grade+tomat%2C+Backpropagation%2C+NodeMCU%2C+Sensor+warna+TCS+3200+%0D%0A%0D%0ATomatoes+have+different+quality+and+maturity%2C+this+is+a+problem+in+sorting+because+it+is+often+wrong+on+put+the+grade+of+tomato+marketing+and+takes+a+long+time+in+sorting.+One+solution+offered+to+overcome+this+problem+is+a+tomato+sorting+system+based+on+artificial+neural+network+method+that+can+minimize+the+sorting+time+and+also+places+the+tomato+according+to+grade.+In+this+research%2C+the+model+of+artificial+neural+network+system+backpropagation+method+on+NodeMCU+Lua+microcontroller+version+1.0.+Artificial+neural+network+method+is+used+to+process+the+image+of+tomato+objects+moving+through+the+conveyor+in+the+form+of+RGB+value+and+captured+by+TCS+3200+color+sensor%2C+the+image+obtained+can+classify+the+grade+of+tomatoes+into+raw%2C+half-ripe%2C+and+ripe.+This+research+compared+the+results+of+training+and+testing+of+artificial+neural+networks+between+Matlab+R2015a+and+NodeMCU+version1.0.+The+outputs+or+decisions+of+artificial+neural+networks+will+be+forwarded+to+the+control+system+in+the+form+of+hardware+and+software+used+in+this+research.+The+test+results+showed+that+the+tomato+sorting+model+successfully+classified+the+tomato+fruit+grade%2C+and+was+able+to+control+motor+servo+and+DC+motor+automatically+based+on+RGB+value+with+processing+time+about+5+seconds+and+error+8.3%25.%0D%0A%0D%0AKeywords%3A+Grade+of+tomato%2C+Backpropagation%2C+NodeMCU%2C+Color+sensor+TCS+3200+%0D%0A&rft.publisher=FAKULTAS+TEKNIK&rft.date=2018-07-19&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F33043%2F1%2FABSTRAK%2520%2528ABSTRACT%2529.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F33043%2F9%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F33043%2F10%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++Ardhi+Istiadi%2C+14150301022++(2018)+RANCANG+BANGUN+ALAT+PENYORTIR+BUAH+TOMAT+BERBASIS+METODE+JARINGAN+SYARAF+TIRUAN+MENGGUNAKAN+NODEMCU+VERSI+1.0.++FAKULTAS+TEKNIK%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F33043%2F