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Journal : PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS

Spatial Analysis of Food Security Index and Its Factor to Support Program Priority Area in Central Java, Indonesia Syafinda Fyndiani, Saskia; Putri Titisari, Hanung; Fadhiil Al-Ghifaary, Muhammad; Handayani, Tiara; Fadhilah, Achmad
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.652

Abstract

Food security Index (FSI) is a global issue influenced by ecological and socio-economic factors. Food security is a condition in which humans can meet their food needs. Therefore, it is necessary to identify the conditions of food security and the factors that can influence it as a first step in overcoming food insecurity. The study area of this research is Central Java. This study uses spatial autocorrelation method. This method can determine patterns or correlations between study locations using Moran’s I and LISA. This method also provides information related to the relationship between poverty distribution characteristics between locations in Central Java. This study also analyzes the Food Security Index (FSI) in Central Java Province by integrating drought parameters (Normalized Difference Drought Index), poverty levels, food expenditure, and open unemployment rates. The results of the analysis show a correlation between ecological conditions and FSI achievements. These results confirm that the FSI level in the study area does not only depend on natural resources but is also influenced by socioeconomic factors. Thus, the results of this analysis may be beneficial as recommendations for policymakers through a spatial-based approach to provide strategies for improving food security, especially in Central Java.
Spatial Modelling of the Relationship Between the Characteristics of Vegetation Index, Life Expectancy and Fertility Rate in Banten Province Asyari, Ahmad Syuhada Islami; Sumirah, Diana; ., Syaefunnisa; Fadhilah, Achmad; Putra, Andika Permadi
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.659

Abstract

Rapid urbanization in Banten Province has reduced green open spaces, impacting environmental sustainability and demographic dynamics. This study analyzes the spatial relationship between vegetation index, life expectancy (LE), and total fertility rate (TFR) using Landsat 8 imagery (2020–2024) and demographic data from the Central Bureau of Statistics (BPS). The vegetation index, measured using the Normalized Difference Vegetation Index (NDVI), was examined alongside LE and TFR through Pearson correlation and Moran’s I spatial autocorrelation. The results indicate a moderate negative correlation between NDVI and LE (r = -0.561, p < 0.05) and a strong negative correlation between LE and TFR (r ? -0.94). Urban areas such as Tangerang City and South Tangerang City, despite having low vegetation cover, recorded higher LE due to adequate healthcare access. Conversely, rural areas with greater vegetation tended to have lower LE. Spatial analysis identified urban centers as hotspots with high LE, while rural regions appeared as coldspots. These findings confirm that healthcare access and socioeconomic factors can compensate for limited vegetation, while demographic transitions contribute to fertility decline, ultimately supporting sustainable development in Banten Province.