Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Prosiding Seminar Nasional Official Statistics
Sari, Novalianisa Permata
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pengelompokan Kabupaten/Kota Di Provinsi Papua Tahun 2023 Berdasarkan Kualitas Sumber Daya Manusia Sari, Novalianisa Permata; Renaldi, Egi
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.v2024i1.2129

Abstract

Since the establishment of the Golden Indonesia Vision in 2045, the government has targeted accelerating the distribution of education and improving the level of health and quality of life of the community as one of the efforts to develop the quality of human resources. This research focuses on the grouping of regencies in Papua Province in 2023 based on a composite index that describes the quality of human resources in Papua Province in 2023. The data used in this research is macro secondary data which is analyzed using descriptive analysis in the form of radar charts and inferential analysis using factor analysis. Formation of a composite index using factor analysis. Three factors were obtained which were used to create a composite index which was then used to present a better picture of various indicators supporting human resource development such as education, health, employment, economic and other variables. Then grouping by dividing into five groups based on quantiles to see spatial stratification.
Potret Pekerja Miskin di Provinsi Jambi 2023 Renaldi, Egi; Sari, Novalianisa Permata
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2422

Abstract

Poverty is a global issue faced not only by Indonesia but also by many other developing countries. Poverty alleviation has become a top priority in the sustainable development agenda, one of which is through job creation. Employment availability is considered a crucial factor in driving economic and social development. However, the relationship between employment and poverty is not always linear. This is evident in Jambi Province, where the poverty rate is higher than the open unemployment rate (OUR). This study focuses on analyzing the factors that influence the poverty status of workers in Jambi Province. The data used in this study is secondary data sourced from the 2023 National Socio-Economic Survey (SUSENAS). Using Firth logistic regression, the results show that the number of household members, marital status, age, education level, area of residence, and number of working hours significantly affect the poverty status of workers.
Co-Authors Renaldi, Egi