?url_ver=Z39.88-2004&rft_id=1814071010&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=+PREDIKSI+KADAR+NITROGEN+TOTAL+PADA+LIMBAH+CAIR+PABRIK%0D%0AKELAPA+SAWIT+MENGGUNAKAN+METODE+MULTISENSOR+&rft.creator=+Santoso%2C+Iqbal&rft.subject=600+Teknologi+(ilmu+terapan)&rft.subject=601+Filsafat+dan+teori+tentang+teknologi+dan+ilmu+terapan&rft.subject=620+Ilmu+teknik+dan+ilmu+yang+berkaitan&rft.subject=630+Pertanian+dan+teknologi+yang+berkaitan&rft.description=%0D%0AThe+prediction+of+total+nitrogen+content+in+palm+oil+wastewater+using+multisensor%0D%0Amethod+is+an+alternative+to+determine+the+total+nitrogen+content+in+palm+oil%0D%0Awastewater+faster+and+produce+accurate+sensor+output+values.+This+research+aims%0D%0Ato+predict+the+total+nitrogen+content+in+palm+oil+wastewater+faster+and+accurately%0D%0Ausing+multisensor+method.+%0D%0AThe+research+was+conducted+from+March+2022+to+March+2023.+Wastewater%0D%0Asamples+were+taken+at+PTPN+VII+Bekri+Lampung.+Laboratory+analysis+was%0D%0Acarried+out+at+the+Basic+Physics+Laboratory%2C+Department+of+Agricultural%0D%0AEngineering%2C+Faculty+of+Agriculture%2C+Lampung+University.+This+research+used%0D%0AArtificial+Neural+Networks+(ANN)+with+two+hidden+layers%2C+learning+rate+0.001%2C%0D%0Atraining+type+of+tranlm%2C+and+1000+epochs.+The+training+process+of+the+ANN+used%0D%0A27+variations+of+functions+from+the+logsig%2C+tansig%2C+and+purelin+variants.+The+data%0D%0Aused+for+training+was+70%25+of+the+total+data%2C+and+30%25+was+used+for+the+model%0D%0Avalidation+process.+%0D%0AThe+results+of+this+research+showed+that+the+validation+model+using+one+input+(EC)%0D%0Aobtained+an+RMSE+value+of+29.64+mg%2Fl+and+RRSME+of+39.85%25.+Validation+with%0D%0Ainputs+of+EC+and+temperature+had+an+RMSE+of+11.49+mg%2Fl+and+RRSME+of+15.45%25.%0D%0AValidation+with+inputs+of+EC%2C+temperature%2C+and+pH+had+an+RMSE+of+15.48+mg%2Fl%0D%0Aand+RRSME+of+15.96%25.+Validation+with+inputs+of+EC%2C+temperature%2C+dissolved%0D%0Aoxygen%2C+total+bacteria%2C+and+pH+had+an+RMSE+value+of+59.53+mg%2Fl+and+RRSME+of+76.60%25.+Validation+with+4+inputs+(EC%2C+temperature%2C+dissolved+oxygen%2C+total%0D%0Abacteria%2C+and+pH)+had+an+RMSE+value+of+93.80+mg%2Fl+and+RRMSE+of+98.9%25.+The%0D%0Abest+validation+result+among+several+input+variations+was+validation+using+2%0D%0Ainputs+(temperature+and+EC)+with+an+RMSE+value+of+11.46+mg%2Fl+and+RRSME+of%0D%0A15.45%25.+%0D%0AKeywords%3A+Artificial+Neural+Networks%2C+Total+Nitrogen%2C+Palm+Oil+Wastewater.+%0D%0A%0D%0A+%0D%0APrediksi+kadar+nitrogen+total+pada+limbah+cair+kelapa+sawit+menggunakan+metode%0D%0Amultisensor+adalah+aternatif+untuk+mengetahui+kadar+nitrogen+total+pada+limbah%0D%0Acair+kelapa+sawit+secara+lebih+cepat+dan+menghasilkan+nilai+keluaran+dari+sensor%0D%0Ayang+akurat.+Penelitian+ini+bertujuan+untuk+Memprediksi+kadar+nitrogen+total+pada%0D%0Alimbah+cair+kelapa+sawit+secara+lebih+cepat+dan+akurat+dengan+metode+multisensor.%0D%0A%0D%0APenelitian+ini+dilaksanakan+pada+bulan+Maret+2022+sampai+Maret+2023.%0D%0APengambilan+sampel+limbah+dilakukan+di++PTPN+VII+Bekri+Lampung.+Analisis%0D%0Alaboratorium+dilakukan+di+Laboratorium+Fisika+Dasar%2C+Jurusan+Teknik+Pertaniaan%2C%0D%0AFakultas+Pertanian%2C+Universitas+Lampung.+Penelitian+ini+menggunakan+Jaringan%0D%0ASyaraf+Tiruan+(+JST)++dengan+dua+hidden+layer%2C+learning+rate+0%2C001%2C+tipe+pelatihan%0D%0Atranlm+dan+jumlah+epoch+1000.+Proses+pelatihan+jaringan+syaraf+tiruan%0D%0Amenggunakan+27+variasi+fungsi+dari+varian+logsig%2C+tansig%2C+dn+purelin.+Data+yang%0D%0Adiapakai+untuk+data+latih+adalah+sebanyak+70%25+dari+jumlah+seluruh+data+kemudian%0D%0A30%25+dipakai+untuk+proses+validasi+model.+Hasil+penelitian+ini+menunjukkan+Validasi+model+dengan+menggunakan+satu+input%0D%0A(ec)+mendapatkan+nilai+RMSE+sebesar+29%2C64+mg%2Fl+dan+RRSME+sebesar+39%2C85+%25.%0D%0AValidasi+dengan+input+EC+dan+Suhu++memiliki+RMSE+11%2C49+mg%2Fl+dan+RRSME%0D%0Asebesar+15%2C45+%25.+Validasi+dengan+input+EC%2C+Suhu%2CpH++memiliki+RMSE+yaitu%0D%0Asebesar+15%2C48+mg%2Fl+dan+RRSME+sebesar+15%2C96+%25.+Validasi+dengan+Input%0D%0AEC%2Csuhu%2CDO%2C+TB%2C+pH+memiliki+nilai+RMSE+yaitu+sebesar+59%2C53+mg%2Fl+dan+RRSME%0D%0Asebesar+76%2C60+%25.+Validasi+dengan+4+input+(EC%2C+Suhu%2C+DO%2C+TB%2C+pH+)+memiliki+nilai%0D%0ARMSE+sebesar+93%2C80+mg%2Fl+dan+RRMSE+sebesar+98%2C9+%25.+Hasil+validasi+terbaik+dari%0D%0Abeberapa+variasi+jumlah+input+adalah+validasi+dengan+menggunakan+2+input+(+Suhu%0D%0Adan+EC)+dengan+nilai+RMSE+sebesar+11.46+mg%2Fl+dan+RRSME+sebesar+15%2C45+%25.+%0D%0A+%0D%0AKata+Kunci+%3A+Jaringan+Syaraf+Tiruan%2C+Nitrogen+total%2C+Limbah+cair+kelapa+sawit%0D%0A%0D%0A&rft.publisher=FAKULTAS+PERTANIAN&rft.date=2023-02-10&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F70742%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F70742%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F70742%2F3%2FSKRIPSI%2520FULL%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=+++Santoso%2C+Iqbal++(2023)++PREDIKSI+KADAR+NITROGEN+TOTAL+PADA+LIMBAH+CAIR+PABRIK+KELAPA+SAWIT+MENGGUNAKAN+METODE+MULTISENSOR.++FAKULTAS+PERTANIAN%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F70742%2F