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All Journal Jurnal Gaussian Jurnal Statistika Universitas Muhammadiyah Semarang Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika)
Alvita Rachma Devi
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Decision Sciences, Operations Research & Management Education Other

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Journal : Jurnal Gaussian

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ANALISIS INFLASI KOTA SEMARANG MENGGUNAKAN METODE REGRESI NON PARAMETRIK B-SPLINE Alvita Rachma Devi; Moch. Abdul Mukid; Hasbi Yasin
Jurnal Gaussian Vol 3, No 2 (2014): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (386.933 KB) | DOI: 10.14710/j.gauss.v3i2.5906

Abstract

Inflation is an important consideration for investors to invest in an area. An accurate prediction of inflation is required for investors in conducting a careful planning.  One of  the method to find the predicted value of inflation is by using B-Spline regression, a nonparametric regression which is not depend on certain assumptions, thus providing greater flexibility. The optimal B-Spline models rely on the optimal knots that has a minimum Generalized Cross Validation (GCV). By using Semarang year-on-year inflation data from January 2008 - August 2013, the optimal B-spline models in this study are on the order of 2 ( linear ) with 2 knots, that is 5,99 and 6,09. Prediction of Semarang inflation in 2014 fluctuated around the number five and six and inflation in the end of 2014 is 6,286394%.
Co-Authors Alan Prahutama Hasbi Yasin Hasbi Yasin Moch. Abdul Mukid Rezzy Eko Caraka Rukun Santoso Suparti Suparti