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Home > Volume 3, Number 1, June 2020 > Lestari
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Asep Rusyana
Department of Statistics, Faculty of Mathematics and Natural Sciences, Syiah Kuala University
Jalan Syech Abdurrauf No.3, Kopelma Darussalam, Banda Aceh 23111, Aceh, Indonesia
Email: jda@unsyiah.ac.id
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Hubungan Faktor Multidimensi terhadap Derajat Kemiskinan di Indonesia dengan Analisis Korelasi Kanonik

Shinta Lestari, Fanny Oktavani, Akhyar Wijaya, Samsul Anwar

Abstract

Kemiskinan merupakan salah satu indikator utama yang digunakan dalam mengukur tingkat kesejahteraan masyarakat di Indonesia. Pendekatan pengukuran kemiskinan multidimensi dapat memotret kemiskinan dari beragam aspek seperti pendidikan, kesehatan, kualitas hidup rumah tangga, dan hubungan multidimensi. Tujuan dari penelitian ini adalah melihat faktor dimensi sebagai peubah bebas (X). Data yang digunakan adalah data sekunder tahun 2015 yang berasal dari Badan Pusat Statistik (BPS) Republik Indonesia. Data dianalisis menggunakan metode analisis korelasi kanonik. Berdasarkan hasil penelitian, diperoleh bahwa koefisien korelasi kanonik antara peubah bebas terhadap peubah tak bebas adalah sebesar 0,810. Hal ini menunjukkan adanya hubungan yang erat antara faktor dimensi pendidikan, kesehatan, dan kualitas hidup rumah tangga terhadap derajat kemiskinan di Indonesia yang diamati melalui persentase kemiskinan, kriminalitas, dan tingkat pengangguran terbuka. Dimensi pendidikan, kesehatan, dan kualitas hidup rumah tangga dapat mengindikasikan derajat kemiskinan di Indonesia. Peningkatan persentase rumah tangga dengan sumber penerangan listrik, sumber air minum yang layak, dan kelahiran terakhir yang dibantu oleh medis, mengindikasikan adanya penurunan persentase kemiskinan namun di sisi lain juga mengindikasikan terjadinya peningkatan pada sektor pengangguran terbuka.

 

Poverty is one of the main indicators used in measuring the level of welfare of people in Indonesia. The multidimensional approach to poverty measurement can portray poverty from various aspects such as education, health, household quality of life, and multidimensional relations. The purpose of this study was to look at dimension factors as independent variables (X). The data used were secondary data in 2015 from the Central Statistics Agency (BPS) Republic of Indonesia. Data were analyzed using canonical correlation analysis methods. Based on the results of the study, it was found that the canonical correlation coefficient between the independent variables of the non-free variable was 0.810. This shows a close relationship between the dimensions of education, health, and household quality of life to the degree of poverty in Indonesia which is observed through the percentage of poverty, crime, and the level of open unemployment. The dimensions of education, health, and quality of life of a household can indicate the degree of poverty in Indonesia. Increasing the percentage of households with electricity lighting sources, sources of proper drinking water, and recent births assisted by medical personnel, indicating a decrease in the percentage of poverty but on the other hand also indicates an increase in the open unemployment sector.

 Keywords

Degree of poverty; Multidimensional; Canonical correlation analysis

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References

Ford Foundation, P., “Indeks Kemiskinan Multidimensi,” 2015. [Online]. Available: https://mpi-indonesia.org/overview.html.

Singarimbun, M., and Sofian, E., Metode Penelitian Survei, Edisi Revi. Jakarta: LP3ES, 1989.

Shima, N., and Anwar, S., “Analisis Distribusi Rumah Tangga Penerima Subsidi Listrik di Kabupaten Aceh Timur Tahun 2017,” E-Mabis J. Ekon. Manaj. dan Bisnis, vol. 18, no. 2, pp. 197–206, 2017.

Gittins R, Canonical Analysis : A Review WIth Application in Ecology. Berlin: Spinger-Verlag, 1985.

Hair, et al., Multivariate Data Analysis, 6th ed. New Jersey: Pearson Education, 2006.

Johnson, R. A., and Wichern, D. W., Applied Multivariate Statistical Analysis. New Jersey: Pretince Hall Inc., 2002.

Mattjik, A. A., and Sumertajaya, I. M., Sidik Peubah Ganda Dengan Menggunakan SAS, 1st ed. Bogor: IPB Press, 2011.

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Dattalo, P. V., “A Demonstration of Canonical Correlation Analysis with Orthogonal Rotation to Facilitate Interpretation,” 2014.

DOI: https://doi.org/10.17969/jtipi.v%25vi%25i.12586

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About The Authors

Shinta Lestari
Statistic, Syiah Kuala University
Indonesia

i am a student in college of unsyiah, that was learning in department of mathematics and science. Nice to know that articles from our department was can access here.. happy reading...

Fanny Oktavani
Jurusan Statistika, FMIPA, Universitas Syiah Kuala
Indonesia

Akhyar Wijaya
Jurusan Statistika, FMIPA, Universitas Syiah Kuala
Indonesia

Samsul Anwar
Jurusan Statistika, FMIPA, Universitas Syiah Kuala
Indonesia

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Keywords ARIMA Analisis Regresi Aset Bank Bayesian Biplot Canonical correlation analysis Complete lingkage Computer Network Degree of poverty Development areas Forecasting Kesehatan Masyarakat Mean lingkage Multidimensional Poverty indicators Quality of Service Sensitivitas Software-defined Network Spatial Error Model Structural Equation Model, Analisis Jalur, Status Gizi Remaja pembelajaran statistika
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