Factors Influencing Individual Income Level in Cikanyere Village Using Ordinal Logistic Regression Model

Wijayanti, Hagni; Herman, Herman

doi:10.20956/j.v20i2.31964

Open access Journal

Factors Influencing Individual Income Level in Cikanyere Village Using Ordinal Logistic Regression Model

Jurnal Matematika, Statistika dan Komputasi · Vol. 20 No. 2 (2023) · pp. 398–415

DOI: 10.20956/j.v20i2.31964
ISSN: 2614-8811, 1858-1382
Published: 2023-12-24
Publisher: Department of Mathematics, Hasanuddin University
Language: en
License: creativecommons.org/licenses/by/4.0

Abstract

English

Income is an element in the process of economic development that serves as an indicator of the standard of living for individuals, families, or the population. Cikanyere is a village located in, West Java, Cianjur, which still has low economic growth. Economic growth can be observed from the level of income obtained by the population. Based on the aforementioned issue, the original purpose of this research is to identify the factors that influence the level of individual income in Cikanyere Village. One type of regression analysis is ordinal logistic regression, which is used to test the correlation between independent variables and dependent variables that have multiple categories or polychotomous, meaning variables that have two or more categories and are in ordinal scale. Ordinal logistic regression is used because the dependent variable in this study is the income level, while the independent variables include education level, age, marital status, number of dependents, and gender. All these independent variables are measured on an ordinal scale. In this study, the influence of each component on the income level is measured partially using the Pearson Chi-Square test. The results show that age, education level, and the number of dependents to the components that affect the income level in Cikanyere Village. Gender and marital status do not affect the income level. The obtained ordinal logistic regression model provides the likelihood of individual income improvement based on changes in age, education level, and the number of dependents.

Indonesian

Pendapatan adalah elemen dalam proses pembangunan ekonomi yang berfungsi sebagai indikator tingkat kehidupan individu, keluarga, atau masyarakat. Desa Cikanyere merupakan desa yang berada di Kabupaten Cianjur Jawa Barat yang masih memiliki pertumbuhan ekonomi yang rendah. Pertumbuhan ekonomi dapat dilihat dari tingkat pendapatan yang diperoleh oleh masyarakat. Berdasarkan masalah tersebut, tujuan dari penelitian ini adalah untuk mengidentifikasi variabel yang mempengaruhi tingkat pendapatan individu di Desa Cikanyere. Salah satu jenis analisis regresi yaitu regresi logistik ordinal, yang digunakan untuk memeriksa hubungan antara variabel bebas dan variabel terikat yang bersifat polikotomus, yaitu variabel yang memiliki dua atau lebih kategori dan berupa skala ordinal. Regresi logistik ordinal digunakan karena variabel terikat yaitu tingkat pendapatan dan variabel bebas yaitu tingkat pendidikan, usia, status pernikahan, jumlah tanggungan, dan jenis kelamin yang digunakan berupa skala ordinal. Dalam penelitian ini, pengaruh masing-masing komponen terhadap tingkat pendapatan diukur secara parsial dengan menggunakan uji Pearson Chi-Square. Hasilnya menunjukkan bahwa usia, tingkat pendidikan, dan jumlah tanggungan adalah komponen yang mempengaruhi tingkat pendapatan Desa Cikanyere. Jenis kelamin dan status pernikahan tidak mempengaruhi tingkat pendapatan. Model regresi logistik ordinal yang diperoleh menunjukkan nilai peluang peningkatan pendapatan individu terhadap perubahan pada variabel usia, tingkat pendidikan, dan jumlah tanggungan.

Keywords

Collaboration network of the authors

13 authors · 25 co-authorship links · 7 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

Universitas Ahmad Dahlan
State University of Makassar
Pakuan University
Institut Agama Islam Negeri Kendari
Affiliation unknown

Different organisations
Same organisation
Affiliation unknown
Thicker line = more joint articles · bigger circle = more articles

Show as table

Co-author	Organisation	Joint articles
Rinday Zildjiani Salji	Universitas Ahmad Dahlan	1
Herman Yuliansyah	Universitas Ahmad Dahlan	1
Anton Yudhana	Universitas Ahmad Dahlan	1
Satriya Dwi Putra	Universitas Ahmad Dahlan	1
Eko Hadi Sujiono	State University of Makassar	1
B D Amin	State University of Makassar	1
E. P. Sahib	State University of Makassar	1
Yuda Harianto	State University of Makassar	1
Agustinus Jarak Patandean	State University of Makassar	1
Halistin Halistin	Institut Agama Islam Negeri Kendari	1
Dina Aprilia	Affiliation unknown	1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jmsk/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.

Original metadata (oai_dc)

<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Factors Influencing Individual Income Level in Cikanyere Village Using Ordinal Logistic Regression Model</dc:title>
	<dc:creator xml:lang="en">Wijayanti, Hagni</dc:creator>
	<dc:creator xml:lang="en">Herman, Herman</dc:creator>
	<dc:subject xml:lang="en">Tingkat Pendapatan</dc:subject>
	<dc:subject xml:lang="en">Regresi Logistik Ordinal</dc:subject>
	<dc:subject xml:lang="en">Tingkat Pendidikan</dc:subject>
	<dc:subject xml:lang="en">Usia</dc:subject>
	<dc:subject xml:lang="en">Jumlah Tanggungan</dc:subject>
	<dc:description xml:lang="en">Income is an element in the process of economic development that serves as an indicator of the standard of living for individuals, families, or the population. Cikanyere is a village located in, West Java, Cianjur, which still has low economic growth. Economic growth can be observed from the level of income obtained by the population. Based on the aforementioned issue, the original purpose of this research is to identify the factors that influence the level of individual income in Cikanyere Village. One type of regression analysis is ordinal logistic regression, which is used to test the correlation between independent variables and dependent variables that have multiple categories or polychotomous, meaning variables that have two or more categories and are in ordinal scale. Ordinal logistic regression is used because the dependent variable in this study is the income level, while the independent variables include education level, age, marital status, number of dependents, and gender. All these independent variables are measured on an ordinal scale. In this study, the influence of each component on the income level is measured partially using the Pearson Chi-Square test. The results show that age, education level, and the number of dependents to the components that affect the income level in Cikanyere Village. Gender and marital status do not affect the income level. The obtained ordinal logistic regression model provides the likelihood of individual income improvement based on changes in age, education level, and the number of dependents.</dc:description>
	<dc:description xml:lang="id">Pendapatan adalah elemen dalam proses pembangunan ekonomi yang berfungsi sebagai indikator tingkat kehidupan individu, keluarga, atau masyarakat.&amp;nbsp; Desa Cikanyere merupakan desa yang berada di Kabupaten Cianjur Jawa Barat yang masih memiliki pertumbuhan ekonomi yang rendah. Pertumbuhan ekonomi dapat dilihat dari tingkat pendapatan yang diperoleh oleh masyarakat. Berdasarkan masalah tersebut, tujuan dari penelitian ini adalah untuk mengidentifikasi variabel yang mempengaruhi tingkat pendapatan individu di Desa Cikanyere. Salah satu jenis analisis regresi yaitu regresi logistik ordinal, yang digunakan untuk memeriksa hubungan antara variabel bebas dan variabel terikat yang bersifat polikotomus, yaitu variabel yang memiliki dua atau lebih kategori dan berupa skala ordinal. Regresi logistik ordinal digunakan karena variabel terikat yaitu tingkat pendapatan dan variabel bebas yaitu tingkat pendidikan, usia, status pernikahan, jumlah tanggungan, dan jenis kelamin yang digunakan berupa skala ordinal. Dalam penelitian ini, pengaruh masing-masing komponen terhadap tingkat pendapatan diukur secara parsial dengan menggunakan uji Pearson Chi-Square. Hasilnya menunjukkan bahwa usia, tingkat pendidikan, dan jumlah tanggungan adalah komponen yang mempengaruhi tingkat pendapatan Desa Cikanyere. Jenis kelamin dan status pernikahan tidak mempengaruhi tingkat pendapatan. Model regresi logistik ordinal yang diperoleh menunjukkan nilai peluang peningkatan pendapatan individu terhadap perubahan pada variabel usia, tingkat pendidikan, dan jumlah tanggungan.</dc:description>
	<dc:publisher xml:lang="en">Department of Mathematics, Hasanuddin University</dc:publisher>
	<dc:date>2023-12-24</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jmsk/article/view/31964</dc:identifier>
	<dc:identifier>10.20956/j.v20i2.31964</dc:identifier>
	<dc:source xml:lang="en">Jurnal Matematika, Statistika dan Komputasi; Vol. 20 No. 2 (2024): JANUARY 2024; 398-415</dc:source>
	<dc:source>2614-8811</dc:source>
	<dc:source>1858-1382</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jmsk/article/view/31964/10960</dc:relation>
	<dc:relation>10.20956/j.v20i2.31964.g10960</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Author and publisher</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>