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Dwi Wahyu Wigati
Matematika, Universitas Negeri Padang
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Prediksi Jumlah Zakat Melalui Angka Kemiskinan di Kota Padang dengan Menggunakan Metode Graybill Dwi Wahyu Wigati; Helma Helma
Journal of Mathematics UNP Vol 5, No 1 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1011.914 KB) | DOI: 10.24036/unpjomath.v5i1.8899

Abstract

Abstract–If want the poverty rate in the Padang City to drop by a certain amount, then the amount of zakat must be estimated. The research was conducted to obtain predictions of reducing poverty through the amount of zakat with inverse regression using the Graybill method. The data of this research is secondary data. Data obtained through the Padang City BAZNAS about the amount of zakat collected and through the BPS website Padang City about the percentage of poor people of Padang City in 2005-2017. The results of research obtained a prediction model of the amount of zakat that must be provided ( ) in Padang for poverty rates .Keywords–Poverty, Zakat, Inverse Regression, Graybill Method.
Co-Authors Helma Helma