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Zakiyah Mar'ah
Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Negeri Makassar
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Library & Information Science Mathematics Social Sciences Other

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Journal : Eksponensial

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Penerapan Spatial Error Model (SEM) Dalam Menganalisis Faktor-Faktor Yang Mempengaruhi Stunting Balita Di Indonesia Mar'ah, Zakiyah; Nabila, Ainun; Ruslan, Ruslan
EKSPONENSIAL Vol. 16 No. 1 (2025): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v16i1.1465

Abstract

Stunting, a major public health concern hindering child development, remains prevalent in Indonesia. This study employs a spatial approach to analyze the prevalence and spatial patterns of stunting across 34 provinces in Indonesia in 2022. We utilize Exploratory Spatial Data Analysis (ESDA) with Moran's I to assess spatial autocorrelation and identify potential model types (e.g., Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), General Spatial Model (GSM). Following this, Local Indicators of Spatial Association (LISA) can be employed to pinpoint specific spatial clusters of high or low stunting prevalence. The analysis confirms spatial autocorrelation, and subsequent modeling using a suite of spatial regression techniques (including SAR, SEM, and SARMA/GSM) reveals the SEM as the most suitable model for this study with the weighting of the queen matrix contiguity. The SEM analysis identifies two key factors influencing stunting rates: the percentage of the poor population and the percentage of infants under 6 months receiving exclusive breastfeeding. This study highlights the importance of a spatially informed approach for developing effective national and regional stunting prevention programs. By targeting interventions in provinces with high stunting clusters and addressing underlying factors like poverty and breastfeeding practices, policymakers can create more equitable resource allocation strategies to combat stunting and improve child health outcomes nationwide.
Model Regresi Spasial pada Proporsi Tenaga Kerja Perempuan di Provinsi Sulawesi Selatan Mar'ah, Zakiyah; M, Mutiara; Pratiwi, Andi Citra
EKSPONENSIAL Vol. 16 No. 1 (2025): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v16i1.1466

Abstract

Female labor force participation in South Sulawesi, Indonesia, is an urgent issue in the context of economic development and gender equality. For this issue, spatial regression is performed to build the relationship between variables that influence female labor force participation in the region. This study performed the Spatial Autoregressive (SAR) model, which is a regression model where the response variable has spatial correlation. The value of Moran's I for the proportion of female labor force in South Sulawesi is 0.05125, meaning there is a positive spatial autocorrelation. The results obtained showed that the expected length of schooling and adjusted per capita expenditure have a positive effect and the average length of schooling has a negative effect on the proportion of female labor force in South Sulawesi.
Co-Authors Ahmar, Ansari Saleh Aidid, Muhammad Kasim Alfiyah Salsa Dila Sabir BT Samsuddin, Yati Fadilah Amirul Adhel M, Mutiara Masyitah Meliyana, Sitti Muthahharah, Isma Nabila, Ainun Pratiwi, Andi Citra Ruslan Ruslan Rustam, Sitti Nailah Septiary Pratiwi, Kartika Siswanto Siswanto Sitti Masyitah Meliyana R. Taufik Hidayat Waode Sitti Amni