Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023)

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Segmentation of Business Interest using FIMIX-PLS and REBUS-PLS

Authors
Hendra H. Dukalang1, Bambang Widjanarko Otok2, *, Cindy Cahyaning Astuti3, Mohammad Isa Irawan4
1Department of Sharia Banking, Faculty of Islamic economics and business, IAIN Sultan Amai Gorontalo, Gorontalo, 96112, Indonesia
2Department of Statistics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia
3Information Technology Education, Faculty of Psychology and Education, Universitas Muhammadiyah Sidoarjo, Sidoarjo, 61215, Indonesia
4Department of Mathematics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia
*Corresponding author. Email: dr.otok.bw@gmail.com
Corresponding Author
Bambang Widjanarko Otok
Available Online 28 July 2025.
DOI
10.2991/978-2-38476-410-5_7How to use a DOI?
Keywords
business interest models; SEM-PLS; FIMIX-PLS; REBUS-PLS
Abstract

This research aims to determine the heterogeneity of business interest models using the Structural equation model partial least squares (SEM PLS). SEM PLS analysis does not consider the heterogeneity in segments of the observation unit. One analysis that can identify unobserved heterogeneity is finite mix partial least square (FIMIX-PLS) and Response Unit Segmentation Partial Least Square (REBUS PLS). Other research aims to compare the two methods for unobserved heterogeneity in the observation unit. The analysis results show that the FIMIX PLS approach is better than REBUS PLS if seen based on the increase in the R2 value. If we look at the consistency of the R2 value, the REBUS-PLS model is the best because each segment has almost the same R2 value and a value greater than Global R2.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
28 July 2025
ISBN
978-2-38476-410-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-410-5_7How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hendra H. Dukalang
AU  - Bambang Widjanarko Otok
AU  - Cindy Cahyaning Astuti
AU  - Mohammad Isa Irawan
PY  - 2025
DA  - 2025/07/28
TI  - Segmentation of Business Interest using FIMIX-PLS and REBUS-PLS
BT  - Proceedings of the 2nd International Conference on Sciences, Mathematics, and Education 2023 (ICOSMED 2023)
PB  - Atlantis Press
SP  - 67
EP  - 76
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-410-5_7
DO  - 10.2991/978-2-38476-410-5_7
ID  - Dukalang2025
ER  -