Analysis of interpolation method calculations on poverty data in East Nusa Tenggara
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Study Program of Mathematics, Faculty of Mathematics and Natural Sciences, Sriwijaya University

Abstract

The problem of poverty is one of the central fundamental problems attention in any country. Almost every year there is an increase in the poor population Based on data from the Central Statistics Agency (BPS), data on the poor population by province placing NTT province in the 3rd poorest ranking by population The poor in 2016 were around 1,149,920 people or a decrease of 0.914% from 2015. Population poor can be structured based on time series dataanalyzed using prediction methods. Prediction is the process of estimating something that will happen based on existing history. A technique for obtaining a function that passes through all points from a discrete data set or in other words estimation or estimation techniques, the method is an interpolation method. Interpolation techniques are used to analyze poverty data are linear interpolation, quadratic interpolation, and linear interpolation.

Keywords: Keywords: Interpolation Method, Linear, Quadratic, Newtonian, Poverty of East Nusa Tenggara

Topic: Mathematics and Its Applications

Plain Format | Corresponding Author (Vidi Ayu Puspita Sari)

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