?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=PENERAPAN+METODE+AUTOREGRESSIVE+FRACTIONALLY+INTEGRATED+MOVING+AVERAGE+(ARFIMA)+DALAM+PERAMALAN+LAJU+INFLASI+DI+INDONESIA&rft.creator=SUCI+NINGRUM+ANJASMARA+%2C+1317031081&rft.subject=QA+Mathematics&rft.description=ABSTRAK%0D%0A%0D%0AModel+ARFIMA+(Autoregressive+Fractionally+Integrated+Moving+Average)+dikembangkan+untuk+memodelkan+data+berjangka+panjang++pada+data+runtun+waktu+dengan+nilai+differencing+(d)+bilangan+real%2C+-0%2C5+%3C+d+%3C+0%2C5.+Penelitian+ini+bertujuan+untuk+meramalkan+laju+angka+inflasi+di+Indonesia+dengan+metode+ARFIMA.+Parameter+model+diestimasi+menggunakan+Maximum+Likelihood+Estimation+(MLE).++Model+terbaik+yang+diperoleh+untuk+data+tersebut+adalah+model+ARFIMA+(1%2C+d%5B0.443495%5D%2C0).+Dari+model+tersebut+diprediksi+bahwa+akan+ada+kenaikan+inflasi+rata-rata+0%2C12%25+per+bulan.%0D%0A%0D%0A%0D%0AKata+Kunci+%3A+ARFIMA%2C+Jangka+Panjang%2C+Fractional+Integrated.%0D%0A%0D%0AABSTRACT%0D%0A%0D%0AARFIMA+(Autoregresive+Fractionally+Integrated+Moving+Average)+model+was+developed+to+model+the+long+memory+in+time+series+with+differencing+(d)+as+a+real+number%2C+0%2C5+%3C+d+%3C+0%2C5.++The+aims+of+this+study+are+to+forecast+the+rate+of+inflation+in+Indonesia+using+ARFIMA+method.+The+model+parameters+are+estimated+by+Maximum+Likelihood+Estimation+(MLE).++The+best+model+for+the+data+is+ARFIMA+(1%2C+d%5B0.443495%5D%2C+0).++The+model+predicted+that+inflation+will+be+increased+0%2C12%25+on+average+per+month.%0D%0A%0D%0A%0D%0AKey+words+%3A+ARFIMA%2C+Long+Memory%2C+Fractional+Integrated.%0D%0A&rft.publisher=FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAAHUAN+ALAM&rft.date=2017-07-25&rft.type=Skripsi&rft.type=NonPeerReviewed&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F27766%2F1%2FABSTRAK.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F27766%2F2%2FSKRIPSI%2520FULL.pdf&rft.format=text&rft.identifier=http%3A%2F%2Fdigilib.unila.ac.id%2F27766%2F3%2FSKRIPSI%2520TANPA%2520BAB%2520PEMBAHASAN.pdf&rft.identifier=++SUCI+NINGRUM+ANJASMARA+%2C+1317031081++(2017)+PENERAPAN+METODE+AUTOREGRESSIVE+FRACTIONALLY+INTEGRATED+MOVING+AVERAGE+(ARFIMA)+DALAM+PERAMALAN+LAJU+INFLASI+DI+INDONESIA.++FAKULTAS+MATEMATIKA+DAN+ILMU+PENGETAAHUAN+ALAM%2C+UNIVERSITAS+LAMPUNG.+++++&rft.relation=http%3A%2F%2Fdigilib.unila.ac.id%2F27766%2F