?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=BAGAN+KENDALI+EXPONENTIALLY+WEIGHTED+MOVING%0D%0AAVERAGE+PADA+DATA+CPO+PT+ASTRA+AGRO+LESTARI%0D%0APADA+TAHUN+2018+-+2020+DENGAN+MENGGUNAKAN%0D%0A%0D%0ARESIDUAL+MODEL+ARIMA&rft.creator=AL+ARHAM%2C+1517031162&rft.subject=500+ilmu+pengetahuan+alam+dan+matematika&rft.description=Dalam+suatu+proses+produksi+perlu+adanya+bagan+kendali+yang+dapat+di+gunakan%0D%0Asebagai+alat+untuk+mengontrol+suatu+proses+produksi.+Data+yang+digunakan+dalam%0D%0Abagan+kendali+harus+memenuhi+asumsi+bahwa+data+tidak+berautokorelasi.%0D%0APenelitian+ini+bertujuan+untuk+mendeskripsikan+langkah-langkah+pembuatan%0D%0Abatas-batas+bagan+kendali+pada+data+yang+di+dalamnya+terjadi+proses+autokorelasi.%0D%0A%0D%0AData+yang+digunakan+pada+penelitian+ini+yaitu+data+PT.+Astara+Agro+Lestari%2C%0D%0Aperiode+Januari+2018+%E2%80%93+Desember+2020.+Data+tersebut+di+analisis+menggunakan%0D%0Amodel+ARIMA+untuk+menyelesaikan+masalah+autokorelasi+pada+data.+Dari+proses%0D%0AARIMA+di+peroleh+data+Residual+yang+akan+digunakan+unuk+Membuat+bagan%0D%0Akendali+Exponentially+Weighted+Moving+Average+(EWMA).%0D%0A%0D%0AHasil+dari+penelitian+ini+menunjukkan+bahwa+model+terbaik+yang+diperoleh+ialah%0D%0Adari+model+ARIMA+(1%2C1%2C1)%2C+dengan+%CE%BB+%3D+0%2C2+sebagai+lambda+yang+paling+efektif%0D%0Auntuk+mendeteksi+pergeseran+mean+proses+yang+kecil%2C+dengan+diperoleh+bahwa%0D%0Aresidual+tidak+terkendali.%0D%0A%0D%0AKata+kunci+%3A+EWMA%2C+Residual%2C+ARIMA%2C+Bagan+Kendali%0D%0AIn+a+production+process%2C+it+is+necessary+to+have+a+control+chart+that+can+be+used+as%0D%0Aa+tool+to+control+a+production+process.+The+data+used+in+the+control+chart+must%0D%0Ameet+the+assumption+that+the+data+is+not+autocorrelated.+The+aims+of+this+research%0D%0Ato+describe+the+steps+of+making+control+chart+boundaries+on+the+data+in+which+the%0D%0Aautocorrelation+process+occurs.%0D%0A%0D%0AThe+data+used+in+this+research+are+data+from+PT.+Astara+Agro+Lestari%2C+period%0D%0AJanuary+2018+%E2%80%93+December+2020.+The+data+was+analyzed+using+the+ARIMA+model%0D%0Ato+solve+the+autocorrelation+problem+in+the+data.+From+the+ARIMA+process%2C%0D%0AResidual+data+is+obtained+which+will+be+used+to+create+an+Exponentially+Weighted%0D%0AMoving+Average+(EWMA)+control+chart.%0D%0A%0D%0AThe+results+of+this+study+indicate+that+the+best+model+obtained+is+from+the+ARIMA%0D%0Amodel+(1%2C1%2C1)%2C+with+%CE%BB%3D+0.2+as+the+most+effective+lambda+for+detecting+small%0D%0Aprocess+mean+shifts%2C+with+the+result+that+the+residuals+are+not+controlled.%0D%0A%0D%0AKeywords+%3A+EWMA%2C+Residual%2C+ARIMA%2C+Control+Chart&rft.publisher=FAKULTAS+MATEMATIKA+ILMU+PENGETAHUAN+ALAM&rft.date=2021&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F61448%2F1%2FABSTRAK%2520-%2520Al%2520Arham.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F61448%2F2%2FSKRIPSI%2520FULL%2520-%2520Al%2520Arham.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F61448%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN%2520-%2520Al%2520Arham.pdf&rft.identifier=++AL+ARHAM%2C+1517031162++(2021)+BAGAN+KENDALI+EXPONENTIALLY+WEIGHTED+MOVING+AVERAGE+PADA+DATA+CPO+PT+ASTRA+AGRO+LESTARI+PADA+TAHUN+2018+-+2020+DENGAN+MENGGUNAKAN+RESIDUAL+MODEL+ARIMA.++FAKULTAS+MATEMATIKA+ILMU+PENGETAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F61448%2F