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DEVELOPMENT OF CLUSTER INTEGRATION WITH VARIAN BASED STRUCTURAL EQUATION MODELING TO MANAGE HETEROGENEOUS DATA

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 19 No. 2 (2025) · hlm. 1193–1202

DOI
10.30598/barekengvol19iss2pp1193-1202
ISSN
2615-3017, 1978-7227
Terbit
2025-04-01
Penerbit
PATTIMURA UNIVERSITY
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

In the application of SEM to multivariate data, the individuals collected not only come from the same population but also from several groups (clusters). This data is heterogeneous. When SEM is applied to heterogeneous data, there will be a risk of bias in estimating equations in the measurement and structural models because there are differences between groups in the data. The purpose of this study is to overcome heterogeneous data in modeling cashless behavior with cluster using a dummy approach. This study used primary data from a survey in Bekasi City using a questionnaire with 100 respondents. Based on the study's results, it is known that using clustering in SEM can overcome heterogeneous data, which is indicated by the high coefficient of determination of 96.12%. Banks can use the results of this study to design products and services that are more in line with customer needs and preferences while encouraging financial inclusion in the digital era.

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  • University of Brawijaya
  • Universitas Negeri Surabaya
  • Universiti Malaysia Sarawak
  • Université d’Antsiranana
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Endang ArisoesilaningsihUniversity of Brawijaya5
Ni Wayan Surya WardhaniUniversity of Brawijaya5
Muhammad Fadhil AnshariUniversity of Brawijaya4
Nurjannah NurjannahUniversity of Brawijaya4
SolimunAfiliasi tidak diketahui4
Dea Saraswati PramaningrumUniversity of Brawijaya4
Suci AstutikUniversity of Brawijaya4
Wigbertus NgabuUniversity of Brawijaya3
Fachira Haneinanda JuniantoUniversity of Brawijaya3
Hanifa SepriadiAfiliasi tidak diketahui3
Adji Achmad Rinaldo FernandesAfiliasi tidak diketahui3
Cindy Rudiat SekarsariUniversity of Brawijaya3
Devi Veda AmandaUniversity of Brawijaya3
Amin Setyo LeksonoUniversity of Brawijaya2
Ulfah MaisarohUniversity of Brawijaya2
Luthfia Hanun Yuli AriniUniversity of Brawijaya2
Achmad EfendiUniversity of Brawijaya2
Yossy Maynaldi PratamaUniversity of Brawijaya2
Rosita HamdanUniversiti Malaysia Sarawak2
Rahma FitrianiUniversity of Brawijaya2
Usriatur RohmaUniversity of Brawijaya2
Agus Fachrur RozyUniversity of Brawijaya1
Adji FernandesAfiliasi tidak diketahui1
Ani Budi AstutiUniversity of Brawijaya1
Eni SumarminingsihUniversity of Brawijaya1
Nabila Ayunda SoviaAfiliasi tidak diketahui1
Danang AriantoUniversity of Brawijaya1
Arditama PutraUniversity of Brawijaya1
M. Fikar PapaliaUniversity of Brawijaya1
Rindu HardiantiUniversity of Brawijaya1
Danang AriyantoUniversitas Negeri Surabaya1
Petrus Kanisius OlaUniversity of Brawijaya1
Armando Jacquis Federal ZamelinaUniversity of Brawijaya1
Lucius RamifidisoaUniversité d’Antsiranana1
Hafizh Syihabuddin Al JauharUniversity of Brawijaya1
Maulidya MaghfiroUniversity of Brawijaya1

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">DEVELOPMENT OF CLUSTER INTEGRATION WITH VARIAN BASED STRUCTURAL EQUATION MODELING TO MANAGE HETEROGENEOUS DATA</dc:title>
	<dc:creator>Sepriadi, Hanifa</dc:creator>
	<dc:creator>Iriany, Atiek</dc:creator>
	<dc:creator>Solimun, Solimun</dc:creator>
	<dc:creator>Rinaldo Fernandes, Adji Achmad</dc:creator>
	<dc:description xml:lang="en-US">In the application of SEM to multivariate data, the individuals collected not only come from the same population but also from several groups (clusters). This data is heterogeneous. When SEM is applied to heterogeneous data, there will be a risk of bias in estimating equations in the measurement and structural models because there are differences between groups in the data. The purpose of this study is to overcome heterogeneous data in modeling cashless behavior with cluster using a dummy approach. This study used primary data from a survey in Bekasi City using a questionnaire with 100 respondents. Based on the study's results, it is known that using clustering in SEM can overcome heterogeneous data, which is indicated by the high coefficient of determination of 96.12%. Banks can use the results of this study to design products and services that are more in line with customer needs and preferences while encouraging financial inclusion in the digital era.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2025-04-01</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/15464</dc:identifier>
	<dc:identifier>10.30598/barekengvol19iss2pp1193-1202</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application; 1193-1202</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol19iss2year2025</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15464/9967</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Hanifa Sepriadi, Atiek Iriany, Solimun Solimun, Adji Achmad Rinaldo Fernandes</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>