Analisis Tren Sosial di Indonesia dengan Peta Kendali CUSUM  (Studi Kasus: Perceraian, Kemiskinan, Pernikahan Dini, dan Tingkat Pendidikan)

Navisah Navisah; Mawaddatul Fariha; Ketrin Jupina Ranti; Lita Astuti; Suwindah Puji Yarti; Lisa Harsyiah; Jihadil Qudsi

doi:10.29303/ijasds.v2i1.6909

Authors

Navisah Navisah Program Studi Matematika, Universitas Mataram, Indonesia
Mawaddatul Fariha Program Studi Matematika, Universitas Mataram, Indonesia
Ketrin Jupina Ranti Program Studi Matematika, Universitas Mataram, Indonesia
Lita Astuti Program Studi Matematika, Universitas Mataram, Indonesia
Suwindah Puji Yarti Program Studi Matematika, Universitas Mataram, Indonesia
Lisa Harsyiah Program Studi Statistika, Universitas Mataram, Indonesia
Jihadil Qudsi Program Studi Statistika, Universitas Mataram, Indonesia

DOI:

https://doi.org/10.29303/ijasds.v2i1.6909

Keywords:

Divorce, Poverty, Social, CUSUM

Abstract

Social changes in Indonesia, in the last ten years, have attracted the attention of researchers, especially related to the problems of divorce, early marriage, education levels, and poverty. For example, early marriage is still a major problem in some places. BPS, in 2022, reported that the rate of early marriage in Indonesia was very high, from 16.23% in 2022 to 17.32% in 2023. Several studies have shown a correlation between poverty levels, education levels, and early marriage rates. One effective statistical approach to monitoring changes in trends in time data is the Cumulative Sum Control Chart (CUSUM). The CUSUM control chart method, social data trends can be analyzed longitudinally, detecting significant changes, and mapping the time and magnitude of the shifts that occur. A total of 36 data from 4 variables in the 2022-2024 range were processed using the R application to obtain the CUSUM control chart. The results obtained showed that the variables of education level and early marriage showed more data that was within the limits of the CUSUM constraint map, while the variables of divorce rate and poverty rate had a lot of data that was out of control, which occurred a lot in the months of 2023.

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