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PROVINCIAL SEGMENTATION IN INDONESIA: EXPLORING FACTORS INFLUENCING EDUCATION WITH SEM-PLS METHOD, INCORPORATING MODERATION EFFECTS AND FIMIX-PLS APPROACH

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 18 No. 3 (2024) · hlm. 1955–1962

DOI
10.30598/barekengvol18iss3pp1955-1962
ISSN
2615-3017, 1978-7227
Terbit
2024-07-31
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The significance of education as a developmental metric is underscored by its designation as the 4th goal in the SDGs, which emphasizes ensuring inclusive, equitable, and high-quality education while also expanding lifelong learning opportunities for all. This research relies on two primary sources: secondary data from publications by the Indonesian Central Statistics Agency (BPS RI) in 2023 and the BPS website. The educational variables examined in this study are believed to be influenced by latent variables, including school performance, infrastructure, and poverty levels. Employing the Finite Mixture Partial Least Squares (FIMIX-PLS) approach, the research identified 13 valid and reliable indicators of educational variables. It delineated three regional groups based on the lowest BIC and CAIC values. In this structural equation research, the moderation effect is seen in the significance of the indirect relationship, especially the influence of Regional Poverty on Education with School Outcomes as a moderating construct.

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  • Universitas Airlangga
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Rekan penulisOrganisasiArtikel bersama
Dita AmeliaUniversitas Airlangga5
Sediono SedionoUniversitas Airlangga3
Muhammad Fariz Fadillah MardiantoUniversitas Airlangga2
Ni Wayan Widya Septia SariUniversitas Airlangga2
Anggara Teguh PrevianUniversitas Airlangga1
Zidni Ilmatun NurrohmahUniversitas Airlangga1
Toha SaifudinUniversitas Airlangga1
Mochammad Bayu FirmansyahUniversitas Airlangga1
Adnan Syawal Adilaha SadikinUniversitas Airlangga1
Aqil Azmi ReswaraUniversitas Airlangga1
Gabriella Agnes BudijonoUniversitas Airlangga1
Kimberly Maserati SiagianUniversitas Airlangga1
Adrian Wahyu AbdillahUniversitas Airlangga1
Idrus SyahzaqiUniversitas Airlangga1
Muhammad Rosyid Ridho Az ZuhroUniversitas Airlangga1
Dita AmeliaAfiliasi tidak diketahui1
M. Fariz Fadillah MardiantoAfiliasi tidak diketahui1
Elly AnaAfiliasi tidak diketahui1
Aini Divayanti ArrofahAfiliasi tidak diketahui1
Azzah Nazhifa Wina RamadhaniAfiliasi tidak diketahui1
Aulia RamadhantiAfiliasi tidak diketahui1
M. Nabil SaputraUniversitas Airlangga1
Aini Divayanti ArrofahUniversitas Airlangga1
Azzah Nazhifa Wina RamadhaniUniversitas Airlangga1
Aulia RamadhantiUniversitas Airlangga1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">PROVINCIAL SEGMENTATION IN INDONESIA: EXPLORING FACTORS INFLUENCING EDUCATION WITH SEM-PLS METHOD, INCORPORATING MODERATION EFFECTS AND FIMIX-PLS APPROACH</dc:title>
	<dc:creator>Vanisa, Davina Shafa</dc:creator>
	<dc:creator>Rahmanita, Tentri Ryan</dc:creator>
	<dc:creator>Ana, Elly</dc:creator>
	<dc:creator>Kurniawan, Ardi</dc:creator>
	<dc:description xml:lang="en-US">The significance of education as a developmental metric is underscored by its designation as the 4th goal in the SDGs, which emphasizes ensuring inclusive, equitable, and high-quality education while also expanding lifelong learning opportunities for all. This research relies on two primary sources: secondary data from publications by the Indonesian Central Statistics Agency (BPS RI) in 2023 and the BPS website. The educational variables examined in this study are believed to be influenced by latent variables, including school performance, infrastructure, and poverty levels. Employing the Finite Mixture Partial Least Squares (FIMIX-PLS) approach, the research identified 13 valid and reliable indicators of educational variables. It delineated three regional groups based on the lowest BIC and CAIC values. In this structural equation research, the moderation effect is seen in the significance of the indirect relationship, especially the influence of Regional Poverty on Education with School Outcomes as a moderating construct.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2024-07-31</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://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12710</dc:identifier>
	<dc:identifier>10.30598/barekengvol18iss3pp1955-1962</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application; 1955-1962</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol18iss3year2024</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12710/8545</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Davina Shafa Vanisa, Tentri Ryan Rahmanita, Elly Ana, Ardi Kurniawan</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>