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All Journal Jurnal Bina Praja Jurnal Aplikasi Statistika & Komputasi Statistik
Fitri, Halumma Zulfia
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences

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Pemodelan Faktor-Faktor Yang Berpengaruh Terhadap TPT Provinsi Tertinggi Di Indonesia Sebagai Dampak Dari Covid-19 Tervia, Sindy; Rositawati, Ayu Febriana Dwi; Fitri, Halumma Zulfia
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 14 No 2 (2022): Journal of Statistical Application and Computational Statistics
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v14i2.316

Abstract

Coronavirus Disease (COVID-19) is the biggest problem faced by Indonesia as well as all countries in the world. All sectors of the economy have experienced tremendous pressures that have led to an increase of the Open Unemployment Rate. The Open Unemployment Rate is the percentage of the number of unemployed to the number of labor force in a certain area. This research was conducted with the aim of knowing the factors that influence the Open Unemployment Rate. So that it is expected to provide recommendations in determining policies to overcome the problem of unemployment in Indonesia. Especially the Provinces that have the Open Unemployment Rate values above Indonesia's target value in 2020, which is 4,8 percent. The analytical method using panel regression. Panel regression was used because this study would detect and measure the impacts that simply cannot be seen in cross-section data or pure time series. The results of the panel regression analysis show that the variables of Labor Force Participation Rate, Mean Years School, Economic Growth and Population Density have a significant effect on Open Unemployment Rate in 12 Provinces of Indonesia. The panel regression model that was formed was able to explain the response variable with the goodness criteria of 90,59 percent.
Indeks Moran I dan LISA Berbasis KKN: Analisis Spasial Stunting pada Balita di Indonesia 2024 Huntoyungo, Yusharto; Kuswari, Herdina; Firnaherera, Vice Admira; Fitri, Halumma Zulfia; Rosadi, Alvian Imron
Jurnal Bina Praja Vol 17 No 2 (2025): [Sedang Berjalan]
Publisher : Research and Development Agency Ministry of Home Affairs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21787/jbp.17.2025-2888

Abstract

Stunting in toddlers is a significant nutritional issue that may negatively impact the quality of Indonesia’s future human resources. This study aims to analyze the spatial patterns of stunting prevalence in toddlers in Indonesia as a basis for developing region-based policy interventions. A quantitative approach was used through spatial autocorrelation analysis using Moran’s I Index and Local Indicators of Spatial Autocorrelation (LISA), which is based on the K-Nearest Neighbors (KNN) method. Stunting prevalence data were obtained from 514 districts/cities in Indonesia and analyzed to detect clustering patterns in high-risk areas. The results showed a Moran’s I of 0.315 (P-value <), indicating positive spatial autocorrelation among regions. Also, these results indicate that areas with high stunting prevalence tend to be geographically clustered, particularly in areas outside Java, such as Nusa Tenggara, Kalimantan, Sulawesi, and Papua. The results of this study emphasize the importance of a region-based approach to stunting management that accounts for spatial factors. High-high cluster areas are highly vulnerable to stunting, as indicated by low nutrition coverage, access to sanitation, and protein consumption, as well as high poverty rates. This situation highlights the importance of more focused and effective policy interventions that include improving nutrition, increasing access to food and sanitation, health education, and strengthening welfare and education aspects.
Co-Authors Firnaherera, Vice Admira Huntoyungo, Yusharto Kuswari, Herdina Rosadi, Alvian Imron Rositawati, Ayu Febriana Dwi Tervia, Sindy