ANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI PREVALENSI KETIDAKCUKUPAN KONSUMSI PANGAN DI SUMATERA BARAT MENGGUNAKAN GEODA

Eri Mardison

doi:10.31983/jrg.v8i1.5662

ANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI PREVALENSI KETIDAKCUKUPAN KONSUMSI PANGAN DI SUMATERA BARAT MENGGUNAKAN GEODA

Eri Mardison

Abstract

Background: Daily energy requirements must be fulfilled for a healthy and active life. Prevalence of Undernourishment (PoU) is an indicator which are developed for goal. A number of factors were expected affecting PoU were tested in this study. We also tested the possibility of these factors could have a spatial correlation

Objectives: The study produced a map of the spread of PoU and the factors which were influenced them (independent variables). The study need to yield the best estimation model.

Method : This study produce spread map of all variables, for visible purposes, and the classical regression were made. All OLS assumption will be test. Then, SAR and SEM models will be made. Finally, the best model for this study will be chosen. GeoDa software helps all steps.

Results : This study concludes PoU has positive auto correlation and growth has a negative autocorrelation. The best model which produced is the Spatial Error Model (SEM). The slow trend of PoU in West Sumatera Barat is strongly suspected due to the habit of West Sumatera residents in consuming high-calorie foods such as rendang, curry and coconut milk.

Keywords

PoU; West Sumatera; GeoDa

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References

Rawal V, Bansal V, Bansal P. Prevalence of Undernourishment in Indian States Explorations Based on NSS 68th Round Data. Econ Polit Wkly. 2019;54(15):35–45.

Ghosh S. India: Nutrition Intake and Economic Growth, A Causality Analysis. Dev Stud Res. 2018;5(1):69–82.

Waibel H. Poverty and Nutrition: A Case Study of Rural Households in Thailand and Vietnam. SSRN Electron J. 2017;(623).

M. Fauzi, R. Kastaman TP. Pemetaan Ketahanan Pangan pada Badan Koordinasi pada Badan Koordinasi Wilayah I Jawa Barat. J Ind Pertan. 2019;1(1):1–10.

Wuryandari T, Hoyyi A, Kusumawardani DS, Rahmawati D. Identifikasi Autokorelasi Spasial pada Jumlahpengangguran di Jawa Tengah Menggunakan Indeks Moran. Media Stat. 2014;7(1):1–10.

Saputra W, Nurrizka RH. Demographic Factors and the Risk of Malnutrition and Nutrition for Less at Three Different Communities in West Sumatra. Makara J Heal Res. 2013;16(2).

BPS. Data dan Informasi Kemiskinan Kabupaten/Kota Tahun 2019 [Internet]. 2019. Available from: http://repositorio.unan.edu.ni/2986/1/5624.pdf

Z. Agustiana. Konsumsi Energi, Jumlah Penduduk Terhadap PDRB Provinsi Jawa Tengah Tahun 1985-2012. Econ Dev Anal J. 2015;4(4):460–9.

Novitasari DA. Spatial Pattern Analysis dan Spatial Autocorrelation Produk Domestik Regional Bruto (PDRB) Sektor Industri untuk Menggambarkan Perekonomian Penduduk di Jawa Timur. J Ekbis. 2015;13(1):9.

Andriani S. Uji Park dan Uji Breusch Pagan Godfrey dalam Pendeteksian Heteroskedastisitas pada Analisis Regresi. Al Jabar J Pendidik Mat [Internet]. 2017;8(1):63–72. Available from: file:///C:/Users/User/Downloads/fvm939e.pdf

Sebataraja LR, Oenzil F, Asterina A. Hubungan Status Gizi dengan Status Sosial Ekonomi Keluarga Murid Sekolah Dasar di Daerah Pusat dan Pinggiran Kota Padang Lisbet Rimelfhi Sebataraja,. J Kesehat Andalas. 2014;3(2):182–7.

Biadgilign S, Shumetie A, Yesigat H. Does Economic Growth Reduce Childhood Undernutrition in Ethiopia? PLoS One. 2016;11(8):1–14.

Rokhmah F, Muniroh L, Nindya TS. Hubungan Tingkat Kecukupan Energi dan Zat Gizi Makro dengan Status Gizi Siswi SMA di Pondok Pesantren Al-Izzah Kota Batu. Media Gizi Indones. 2017;11(1):94.

Niu H, Chu X, Ma Y. Study on the Fluctuation of Purchasing Power Parity. Open J Bus Manag. 2016;04(01):67–78.

Lindawati, S S. Analysis of Poverty Level and Food Security Based on Consumption Expenditure Level in the Fish Farmer Household (Case Study in Sumur Gintung Village , Subang District, West Java). J Sosek. 2014;9(2):195–206.

DOI: https://doi.org/10.31983/jrg.v8i1.5662