Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025

Diagnostic Analysis Of Market Sentiment towards the Merger of PT XL Axiata Tbk and PT Smartfren Telecom Tbk Using the Naive Bayes Algorithm

Authors
Ida Bagus Gede Dananjaya1, *, Usahana Wiguna Eka Saputra1, Made Andy Pradana Sukarta2, Ida Bagus Sanjaya1, Sang Nyoman Bagus Satya Wira3
1Business Administration, Bali State Polytechnic, Bali, Indonesia
2Accounting Department, Bali State Polytechnic, Bali, Indonesia
3Tourism Department, Bali State Polytechnic, Bali, Indonesia
*Corresponding author. Email: dananjaya@pnb.ac.id
Corresponding Author
Ida Bagus Gede Dananjaya
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-938-4_56How to use a DOI?
Keywords
CRISP-DM; Diagnostic Analysis; Merger; Naïve Bayes
Abstract

This study aims to analyze market sentiment towards the merger between PT XL Axiata Tbk and PT Smartfren Telecom Tbk using the Naive Bayes algorithm. Mergers are corporate actions that often influence market perception and investor decisions. In this context, market sentiment reflected through social media, particularly Twitter, is an important indicator for understanding public reaction to this corporate action. The collected tweet data was analyzed using the Naive Bayes algorithm to classify sentiment as positive or negative. Then, a diagnostic analysis was conducted to determine the cause of the sentiment by referring to the merger’s objective metrics. The resultsBased on the modeling results using the naive bayes algorithm with the CRISP-DM method, market sentiment towards the merger of PT. XL Axiata and PT. Smartfren is Positive 24, Neutral 317 and Negative 67, these results can be used as an alternative in making investment decisions. The diagnostic analysis results of market sentiment regarding the Merger of PT. XL Axiata and PT. Smartfren show that Technology Access is a critical area: Many hopes (positive), but more disappointments (negative). Reputation needs attention: Negative sentiment is 7x higher than positive. Market Expansion is relatively safe, but Operational Synergy has less impact (low positive/negative).

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 International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025
Series
Advances in Economics, Business and Management Research
Publication Date
31 December 2025
ISBN
978-94-6463-938-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-938-4_56How 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

TY  - CONF
AU  - Ida Bagus Gede Dananjaya
AU  - Usahana Wiguna Eka Saputra
AU  - Made Andy Pradana Sukarta
AU  - Ida Bagus Sanjaya
AU  - Sang Nyoman Bagus Satya Wira
PY  - 2025
DA  - 2025/12/31
TI  - Diagnostic Analysis Of Market Sentiment towards the Merger of PT XL Axiata Tbk and PT Smartfren Telecom Tbk Using the Naive Bayes Algorithm
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2025 (iCAST-SS 2025
PB  - Atlantis Press
SP  - 491
EP  - 500
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-938-4_56
DO  - 10.2991/978-94-6463-938-4_56
ID  - Dananjaya2025
ER  -