TY - JOUR

T1 - Modelling of Poverty Percentage of Non-Food per Capita Expenditures in Indonesia Using Least Square Spline Estimator

AU - Massaid, A.

AU - Hanif, M.

AU - Febrianti, D.

AU - Chamidah, N.

N1 - Funding Information:
The authors would like to thank to Faculty of Sciences and Technology, Airlangga University for supporting financial in 9th Annual Basic Science International Conference 2019. References [1] Rustam 2010 PerencanaanPertumbuhan Ekonomi Jawa Timur Dalam Rangka Mengurangi Angka Pengangguran dan Kemiskinan Media Soerjo6(1) p 1 [2] Christianto T 2013 Determinan dan Karakteristik Kemiskinan di Provinsi Maluku Cita Ekonomika7(2) p 1 [3] Sumodiningrat 1999 Kemiskinan : teori, fakta dan kebijakan (Indonesia: IMPAC) p 81 [4] Chamidah N, Saifudin T 2013 Estimation of children growth based on kernel smoothing in multi response nonparametric regressionApplied Mathematical Sciences7(37)pp 1839-1847 [5] Chamidah N, Tjahjono E, FadilahA.R, Lestari B 2018 Standard Growth Charts for Weight of Children in East Java Using Local Linear Estimator. J.Phys: Conf.Ser1097 012092. [6] Chamidah N,Gusti K.H, Tjahjono E, Lestari B 2019 Improving of Classification Accuracy of Cyst and Tumor Using Local Polynomial Estimator Telkomnika in press [7] Chamidah N, Lestari B2016 Spline estimator in homoscedastic multi-response nonparametric regression model in case of unbalanced number of observationsFar East Journal of Mathematical Sciences (FJMS)100(9) pp: 1433-1453 [8] Oktavitri N.I, Kuncoro E.P, Purnobasuki H, Chamidah N 2019 Prediction of suspended and attached process behavior in anaerobic batch reactor using nonparametric regression model approach based on spline estimatorEco. Env. & Cons.25pp: 103-107 [9] Lestari B, Fatmawati, Budiantara I.N, Chamidah, N 2018 Estimation of regression function in multi-response nonparametric regression model using smoothing spline and kernel estimatorsJ. Phys: Conf.Ser1097 012091 [10] Islamiyati A , Fatmawati, Chamidah N 2018 Estimation of Covariance Matrix on Bi-Response Longitudinal Data Analysis with Penelized Spline Regression J. Phys.: Conf.Ser979 012093 [11] Anggreni, N.P.R., Suciptawati, N.L.P., Srinadi, I.G.A.M. 2018 Model Regresi Nonparametrik Spline Truncated Pada Jumlah Kasus Tuberkulosis di Provinsi Bali tahun 2016 E-jurnal Matematika 7(3) pp: 211-218
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.

PY - 2019/7/1

Y1 - 2019/7/1

N2 - The average per capita expenditure is the cost incurred for the consumption of all household members for a month divided by the number of household members. The higher expenditure per capita, the higher level of welfare of the population. In Indonesia, the number of non-food per capita expenditures increases every year and followed by a decrease in the number of poor people. Therefore, it is necessary to investigate the effect of changes in per capita non-food expenditure on the percentage of poor people in Indonesia. To investigate it, in this paper, we use nonparametric regression model based on least square spline estimator that could accommodate the data patterns changing at certain points. The results show that for every one-million-rupiah increase in per capita non-food expenditure, if the expenditure per capita is less than 0.47 million rupiah, the percentage of poverty will decrease 68.71%, and if per capita expenditure is more than 0.47, the percentage of poverty will decrease 5.96%.

AB - The average per capita expenditure is the cost incurred for the consumption of all household members for a month divided by the number of household members. The higher expenditure per capita, the higher level of welfare of the population. In Indonesia, the number of non-food per capita expenditures increases every year and followed by a decrease in the number of poor people. Therefore, it is necessary to investigate the effect of changes in per capita non-food expenditure on the percentage of poor people in Indonesia. To investigate it, in this paper, we use nonparametric regression model based on least square spline estimator that could accommodate the data patterns changing at certain points. The results show that for every one-million-rupiah increase in per capita non-food expenditure, if the expenditure per capita is less than 0.47 million rupiah, the percentage of poverty will decrease 68.71%, and if per capita expenditure is more than 0.47, the percentage of poverty will decrease 5.96%.

UR - http://www.scopus.com/inward/record.url?scp=85069473385&partnerID=8YFLogxK

U2 - 10.1088/1757-899X/546/5/052044

DO - 10.1088/1757-899X/546/5/052044

M3 - Conference article

AN - SCOPUS:85069473385

SN - 1757-8981

VL - 546

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

IS - 5

M1 - 052044

T2 - 9th Annual Basic Science International Conference 2019, BaSIC 2019

Y2 - 20 March 2019 through 21 March 2019

ER -