A Correlational Study on Potential Elderly Count and Realized Recipients of Elderly Social Assistance in the Batam City Social Service and Community Empowerment Agency
DOI:
https://doi.org/10.62375/kkxfbt06Keywords:
Batam, Correlation, Potential Elderly, Realized Recipients, Social AssistanceAbstract
This study aims to analyze the relationship between the number of potential elderly individuals and the realized recipients of elderly social assistance at the Batam City Social Service and Community Empowerment Agency. The research is grounded in Batam Mayor Regulation Number 21 of 2025 and the existing gap between the total elderly population in need (56,672 individuals) and the limited budget capacity that only covers approximately 4.000 potential elderly recipients. This study employs a quantitative approach using Pearson correlation analysis, utilizing secondary data from the National Socio-Economic Integrated Data System (DTSEN) across 12 sub-districts in Batam City. Prior to correlation analysis, the Shapiro-Wilk normality test was conducted, confirming that all variables were normally distributed. The correlation analysis revealed a Pearson correlation coefficient of 0,817 with a significance value of 0,001, indicating a very strong, positive, and statistically significant relationship between the two variables. The coefficient of determination of 0,667 indicates that 66,7% of the variation in realized assistance recipients can be explained by the number of potential elderly individuals, while the remaining 33,3% is influenced by other factors. Descriptively, the total potential elderly population was recorded at 4.000 individuals, while the realized recipients amounted to only 1.618 individuals (an achievement rate of 40,45%). This study concludes that the mechanism for determining potential elderly recipients is generally aligned with field implementation; however, there remains a pressing need to enhance data validation accuracy and database synchronization to ensure that social assistance is distributed more precisely and equitably across all sub-districts in Batam City.
References
[1] Pemerintah Kota Batam, “Peraturan Walikota (Perwali) Kota Batam Nomor 21 Tahun 2025 tentang Bantuan Sosial Bagi Lanjut Usia,” Batam, Mar. 2025.
[2] S. Ahmadi, “Insentif Naik, Ribuan Kader Posyandu dan Lansia di Batam Terima Bantuan,” Batam Pos. [Online]. Available: https://metropolis.batampos.co.id/insentif-naik-ribuan-kader-posyandu-dan-lansia-di-batam-terima-bantuan/
[3] S. Handayani, “Bantuan Sosial bagi Lanjut Usia (Lansia) di Masa Pandemi,” Journal of Social Development Studies, vol. 1, no. 2, pp. 61–75, Oct. 2020, doi: 10.22146/jsds.657.
[4] K. P. Direktorat Data Pembangunan dan Pemerintah Digital, “Data Tunggal Sosial dan Ekonomi Nasional (DTSEN),” Satu Data Indonesia. [Online]. Available: https://dtsen.data.go.id/
[5] E. Permana, D. Yulianti, and I. F. Meutia, “Dimensi Aksesibilitas Bantuan Sosial Lansia dan Penyandang Disabilitas Melalui Pemutakhiran Data Kependudukan,” Administrativa: Jurnal Birokrasi, Kebijakan dan Pelayanan Publik, vol. 4, no. 1, pp. 45–61, Mar. 2022, doi: 10.23960/administrativa.v4i1.114.
[6] R. Gusrita and N. Hayati, “The Correlation Analysis between the Number of CIF and the Number of Account at Bank Syariah Indonesia KCP Batam Raden Patah,” Jurnal Sintak, vol. 3, no. 1, 2024.
[7] R. Dwi Oktavia and N. Hayati, “Analysis of Fabrication Work Progress Based on Time Duration and Component Weight at PT. DIP Engineering,” Jurnal Sintak, vol. 4, no. 1, 2025, doi: 10.62375/jsintak.v4i1.719.
[8] F. Auwalia, N. Hayati, and I. Teknologi Batam, “Correlation Analysis Between Manhour And Manpower In The Aircraft Structure Repair Division At Batam Aero Technic Hangar,” Jurnal Sintak, vol. 4, no. 1, 2025, doi: 10.62375/jsintak.v4i1.585.
[9] S. Bahri and N. Hayati, “Correlation Analysis Between Material Thickness and Welding Length on The Completion Time of Vessel Product in The Static Mixer Project,” Jurnal Sintak, vol. 4, no. 2, 2026, doi: 10.62375/jsintak.v4i2.801.
[10] S. le Cessie, J. J. Goeman, and O. M. Dekkers, “Who is afraid of non-normal data? Choosing between parametric and non-parametric tests,” Feb. 01, 2020, NLM (Medline). doi: 10.1530/EJE-19-0922.
[11] H. Hernandez, “Testing for Normality: What is the Best Method?,” ForsChem Research Reports, vol. 6, pp. 1–38, May 2021, doi: 10.13140/RG.2.2.13926.14406.
[12] P. Mishra, C. M. Pandey, U. Singh, A. Gupta, C. Sahu, and A. Keshri, “Descriptive statistics and normality tests for statistical data,” Ann. Card. Anaesth., vol. 22, no. 1, pp. 67–72, Jan. 2019, doi: 10.4103/aca.ACA_157_18.
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