?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PREDIKSI+BEBAN+LISTRIK+JANGKA+PENDEK%0D%0ADENGAN+METODE+ARIMAX+PADA+GARDU+INDUK+METRO&rft.creator=Redho+Prayoga%2C+1715031039&rft.subject=620+Ilmu+teknik+dan+ilmu+yang+berkaitan&rft.description=Konsumsi+listrik+yang+efisien+dalam+melakukan+suatu+aktivitas+merupakan%0D%0Akeharusan+untuk+semua+sektor+seperti+kebutuhan+perumahan%2C+industri%2C+komersial%0D%0Adan+lain+%E2%80%93+lain.+Konsumsi+listrik+bersifat+stochastic+atau+selalu+berubah+%E2%80%93+ubah+dari%0D%0Awaktu+ke+waktu+untuk+memenuhi+kebutuhan+konsumen.+Banyak+faktor+yang+dapat%0D%0Amempengaruhi+kebutuhan+listrik+contohnya+seperti+temperatur+udara.+Penelitian+ini%0D%0Amelakukan+prediksi+beban+listrik+jangka+pendek+menggunakan+metode%0D%0AAutoregressive+Integrated+Moving+Average+with+Exogenous+Variable+(ARIMAX)%0D%0Adi+Gardu+Induk+Metro.+Data+yang+digunakan+terdiri+dari+2+macam+data+yaitu+data%0D%0Ahistoris+beban+listrik+dan+temperatur+udara+sebagai+variabel+independennya.+Pada%0D%0Apenelitian+ini%2C+prediksi+beban+listrik+jangka+pendek+selama+satu+minggu+dilakukan%0D%0Adengan+2+kategori+yaitu+dengan+historis+data+6+bulan+dan+historis+data+2+tahun.%0D%0ABerdasarkan+hasil%2C+dapat+dilihat+bahwa+hasil+prediksi+beban+listrik+jangka+pendek%0D%0Amenggunakan+data+historis+selama+2+tahun+menghasilkan+nilai+Mean+Absolute%0D%0APercentage+Error+(MAPE)+sebesar+7%2C5%25.+Hasil+tersebut+lebih+baik+dibandingkan%0D%0Ahasil+prediksi+dengan+data+historis+6+bulan+yang+menghasilkan+MAPE+sebesar%0D%0A13%2C6%25.%0D%0A%0D%0AKata+Kunci+%3A+Listrik%2C+Prediksi+Beban+Listrik+Jangka+Pendek%2C+ARIMAX%2C+MAPE%0D%0AThe+efficient+use+of+electricity+for+an+activity+is+a+must+for+all+sectors%2C+such+as%0D%0Aresidential%2C+industrial%2C+commercial%2C+and+others.+Electricity+consumption+is+a%0D%0Astochastic+or+always+changing+time+to+time+to+meet+the+needs+of+the+consumer.+Many%0D%0Afactors+can+affect+electricity+demand%2C+for+example%2C+air+temperature.+This+study%0D%0Apredicts+short-term+electrical+loads+using+the+Autoregressive+Integrated+Moving%0D%0AAverage+with+Exogenous+Variable+(ARIMAX)+method+at+the+Metro+Substation.+The%0D%0Adata+used+consists+of+2+types+of+data%2C+namely+historical+data+on+electrical+loads+and%0D%0Aair+temperature+as+independent+variables.+In+this+study%2C+short-term+electricity+load%0D%0Apredictions+for+one+week+were+carried+out+in+2+categories%2C+namely+with+6+months+of%0D%0Ahistorical+data+and+with+2+years+of+historical+data.+Based+on+the+results%2C+it+can+be%0D%0Aseen+that+the+short-term+electrical+load+prediction+using+historical+data+for+2+years%0D%0Aproduces+a+Mean+Absolute+Percentage+Error+(MAPE)+value+of+7%2C5%25.+This+result+is%0D%0Abetter+than+the+prediction+with+6+months+of+historical+data%2C+which+resulted+in+a%0D%0AMAPE+of+13%2C6%25.%0D%0A%0D%0AKeywords+%3A+Electricity%2C+short+term+load+forecasting%2C+ARIMAX%2C+MAPE&rft.publisher=FAKULTAS+TEKNIK&rft.date=2021&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F61602%2F1%2FABSTRAK%2520-%2520Yoga.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F61602%2F2%2FFull%2520Skripsi%2520tanpa%2520Lampiran%2520-%2520Yoga.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F61602%2F3%2FSkripsi%2520tanpa%2520Pembahasan%2520-%2520Yoga.pdf&rft.identifier=++Redho+Prayoga%2C+1715031039++(2021)+PREDIKSI+BEBAN+LISTRIK+JANGKA+PENDEK+DENGAN+METODE+ARIMAX+PADA+GARDU+INDUK+METRO.++FAKULTAS+TEKNIK%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F61602%2F