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All Journal Media Statistika Prosiding Seminar Nasional Official Statistics
Wiwik Andriyani Lestari Ningsih
Badan Pusat Statistik
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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KAJIAN STATISTICAL DAN COST EFFICIENCY DALAM PENENTUAN GUGUS SAMPEL BLOK SENSUS TERBAIK (Studi Kasus: Sampling Design Susenas-2015 di Kabupaten Natuna) Wiwik Andriyani Lestari Ningsih; I Made Arcana
MEDIA STATISTIKA Vol 11, No 2 (2018): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.295 KB) | DOI: 10.14710/medstat.11.2.93-105

Abstract

Two aspects of efficiency that should be considered in applying sampling design of a survey are statistical efficiency and cost efficiency. Efficiency in statistical aspect improves precision of estimators obtained by the survey data, whereas efficiency in cost aspect provides an economic survey. The purpose of this researchis to evaluate the both efficiencies in all possible census blocks (CBs) sample setand to identify the best CBs sample set in the 2015 National Socio-Economic Survey (Susenas). Therefore, a computer program for calculating statistical, and cost efficiency aspects was developed in this research to determine the best sampel set of  CBs among all possible sampel set of CBs based on sampling design of the 2015 Susenas implemented in Natuna District, Kepulauan Riau Province. The best possible sample set of CBs is determinedby considering statistical efficiency aspect, cost efficiency aspect, as well as combination of those two aspects. The result showed that the best sample set of CBs on statistical efficiency aspect provided the CBs sample set having minimum value of RSE index; evaluation on cost efficiency aspect provided the best CBs sample set having minimum value of total cost esimated using the total score of accessibility index; and evaluation on both efficiency aspects provided the best CBs sample set having minimum value of RSE index and minimum value of total score of accessibility index. Keywords: sampling design, all possible samples, statistical efficiency, cost efficiency
Implementasi Inter-Regional Input-Output (IRIO) dalam Pemulihan Perekonomian Wilayah akibat Pandemi Covid-19 di Indonesia Chaterina Dwi Puspita; Wiwik Andriyani Lestari Ningsih
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.906 KB) | DOI: 10.34123/semnasoffstat.v2021i1.862

Abstract

A country's economy can be seen from the linkages of sectors both within its region (intra-regional) and between regions (inter-regional). One of the tools used to describe the flow of goods and services transactions between sectors on intra-regional and inter-regional is the Inter-Regional Input-Output (IRIO) Table. In the implementation of IRIO, this study aims to analyze the impact of changes in final consumption demand on the regional economy for national economic recovery due to the Covid-19 pandemic. By 2020, the number of Covid-19 cases in Indonesia is 743,198 cases. On the other hand, Indonesia had an economic contraction in 2020, which is 2.07 percent. From 34 provinces, almost all provinces in Indonesia also had economic contractions. The results showed that the number of Covid-19 cases was significant for value-added in several industrial origins. Using an impact analysis, if there is an economic recovery by increasing total consumption in this significant industrial origin, Indonesia's Gross Domestic Product will increase by 2.74 percent.
Co-Authors Chaterina Dwi Puspita I Made Arcana