?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=ANALISIS+PERBANDINGAN+FORECASTING+DATA+EMISI+KARBON%0D%0AANTARA+METODE+LONG+SHORT-TERM+MEMORY+DENGAN%0D%0AFBPROPHET&rft.creator=%09Steven+%2C+Arya+Dijaya%09&rft.subject=620+Ilmu+teknik+dan+ilmu+yang+berkaitan&rft.description=Emisi+karbon+yang+terutama+disebabkan+oleh+aktivitas+manusia+seperti+industri%2C%0D%0Atransportasi%2C+dan+produksi+energisangat+berdampak+signifikan+terhadap+pemanasan%0D%0Aglobal+dan+perubahan+iklim.+Forecasting+adalah+seni+dan+ilmu+memprediksi+kejadian%0D%0Adi+masa+depan.+Hal+ini+dapat+dilakukan+dengan+mengambil+data+historis+dan%0D%0Amemproyeksikannya+ke+masa+depan.+Analisis+korelasi+adalah+metode+statistik+yang%0D%0Adigunakan+untuk+menentukan+besaran+yang+menentukan+seberapa+kuat+hubugan%0D%0Asuatu+variabel+dengan+variabel+lain+tanpa+mempertanyakan+apakah+suatu+variabel%0D%0Atertentu+bergantung+pada+variabel+lain.+Berdasarkan+permasalahan%2C+maka+diterapkan%0D%0Aforecasting+data+emisi+karbon+pada+eddy+station+dengan+ketinggian+1+meter+dan+7%0D%0Ameter+yang+terletak+di+belakang+gedung+laboratorium+Teknik+elektro+Universitas%0D%0ALampung+menggunakan+metode+Long+Short-Term+Memory+(LSTM)+dan%0D%0AFBProphet.+Lalu+diterapkan+evaluasi+metriks+dengan+menggunakan+Root+Mean%0D%0ASquare+Error+(RMSE)%2C+Mean+Absooluter+Error+(MAE)%2C+dan+R-squared+(R2%0D%0A)+untuk%0D%0Amengevaluasi+model+berjalan+dengan+baik+atau+tidak.+Setelah+itu+dilakukan+validasi%0D%0Adata+dengan+menggunakan+korelasi+pearson+dari+data+forecasting+metode+LSTM+dan%0D%0AFBProphet+dengan+data+aktual+selama+7+hari+kedepan.%0D%0AKata+kunci%3A+Emisi+Karbon%2C+Forecasting%2C+Long+Short-Term+Memory%2C+FBProphet%2C%0D%0AKorelasi+Pearson%0D%0ACarbon+emissions+caused+mainly+by+human+activities+such+as+industry%2C%0D%0Atransportation%2C+and+energy+production+have+a+significant+impact+on+global+warming%0D%0Aand+climate+change.+Forecasting+is+the+art+and+science+of+predicting+future+events.%0D%0AThis+can+be+done+by+taking+historical+data+and+projecting+it+into+the+future.%0D%0ACorrelation+analysis+is+a+statistical+method+used+to+determine+quantities+that%0D%0Adetermine+how+strongly+a+variable+is+related+to+other+variables+without+questioning%0D%0Awhether+a+particular+variable+depends+on+other+variables.+Based+on+the+problem%2C%0D%0Aforecasting+carbon+emission+data+was+applied+at+the+eddy+station+with+a+height+of+1%0D%0Ameter+and+7+meters+located+behind+the+electrical+engineering+laboratory+building+of%0D%0Athe+University+of+Lampung+using+the+Long+Short-Term+Memory+(LSTM)+and%0D%0AFBProphet+methods.+Then+metric+evaluation+is+applied+using+Root+Mean+Square%0D%0AError+(RMSE)%2C+Mean+Absooluter+Error+(MAE)%2C+and+R-squared+(R2)+to+evaluate%0D%0Awhether+the+model+is+running+well+or+notAfter+that%2C+data+validation+was+carried+out%0D%0Ausing+pearson+correlation+from+LSTM+and+FBProphet+method+forecasting+data+with%0D%0Aactual+data+for+the+next+7+days.%0D%0AKeywords%3A+Carbon+Emissions%2C+Forecasting%2C+Long+Short-Term+Memory%2C+FBProphet%2C%0D%0APearson+Correlation&rft.publisher=TEKNIK&rft.date=2024-12-22&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F87268%2F1%2FAbstrak%2520Skripsi%2520Steven%2520Arya%2520Dijaya%2520-%2520Steven%2520Arya%2520Dijaya.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F87268%2F2%2FSkripsi%2520Analisis%2520Perbandingan%2520Forecasting%2520Steven%2520Tanpa%2520Lampiran%2520-%2520Steven%2520Arya%2520Dijaya.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F87268%2F3%2FSkripsi%2520Analisis%2520Perbandingan%2520Forecasting%2520Steven%2520Tanpa%2520Bab%2520Pembahasan%2520-%2520Steven%2520Arya%2520Dijaya.pdf&rft.identifier=+++Steven+%2C+Arya+Dijaya+++(2024)+ANALISIS+PERBANDINGAN+FORECASTING+DATA+EMISI+KARBON+ANTARA+METODE+LONG+SHORT-TERM+MEMORY+DENGAN+FBPROPHET.++TEKNIK%2C+UNIVERSITAS+LAMPUNG+.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F87268%2F