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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Prosiding Seminar Nasional Official Statistics
Nuriyo, Amalia Ndaru
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Dampak Dampak Liberalisasi Perdagangan Terhadap Inflasi di Indonesia Rangkuti, Suifatiha; Rahmi, Meautia; Nuriyo, Amalia Ndaru; Wahyuni, Ribut Nurul Tri
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2288

Abstract

Globalisation encourages the trade of goods and services between countries without any trade barriers, or known as trade liberalisation. Trade liberalisation can impact the macroeconomic indicators of countries that engage in international trade, one of which is inflation. The purpose of this study is to analyse the effect of trade liberalisation on inflation in Indonesia. The variables used are trade openness and inflation. This study uses autoregressive distributed lag (ARDL) method with the research period 2000 - 2023. In addition, government spending and money supply are also used as control variables. The results show that trade openness can increase the inflation on one untill two years later. Trade openness is also show the same effect in the long run and short run. Meanwhile, government expenditure and money supply also increase inflation in the long run and short run.
SMALL AREA ESTIMATION OF CHILD UNDERNOURISHMENT PREVALENCE IN BALI AND NUSA TENGGARA Nuriyo, Amalia Ndaru; Fajar, Huda Muhammad; Novaldi, Jeremia; Rahmi, Meautia; Miswa, Sabrina Do; Sumarni, Cucu
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp743-754

Abstract

Children under the age of 17 are particularly prone to undernutrition. Undernutrition can impair children’s growth and development. In the process of policy formulation, it is necessary to calculate a reliable estimate of the prevalence of child undernourishment at the smallest level possible. Using the data of SUSENAS 2023 from BPS, direct estimates at the regency/city level in Bali, West Nusa Tenggara (NTB), and East Nusa Tenggara (NTT) have relative standard error values of over 25% (RSE > 25%), making them less reliable for usage. To solve this, an indirect estimating method known as small area estimation (SAE) can be applied. This study employs SAE HB Lognormal to estimate the prevalence of undernutrition in children. The results of this study show that small area estimation using the HB Lognormal approach improved the reliability of estimates (RSE) of the prevalence of undernutrition in children at the regency/city level in Bali, NTB, and NTT.
Co-Authors Fajar, Huda Muhammad Miswa, Sabrina Do Novaldi, Jeremia Rahmi, Meautia Rangkuti, Suifatiha Sumarni, Cucu Wahyuni, Ribut Nurul Tri