Proceedings of the 8th Mechanical and Industrial Engineering Symposium (MIE 2025)

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Analysis of Consumer Behavior Characteristics on Social Media in Electronic Waste Collection Based on Topic Modeling in Indonesia

Authors
Fattah Nasywa Pratama1, *, Bertha Maya Sopha1
1Department of Mechanical and Industrial Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia
*Corresponding author. Email: fattahnasywapratama@mail.ugm.ac.id
Corresponding Author
Fattah Nasywa Pratama
Available Online 24 May 2026.
DOI
10.2991/978-94-6239-687-6_27How to use a DOI?
Keywords
BERTopic; E-waste; Instagram; Social Media; Topic Modeling
Abstract

Electronic waste (e-waste) is one of the fastest-growing types of waste today because of the rapid advancement of technology. Public engagement on social media has emerged as a potential factor to improve e-waste management systems, particularly in Indonesia. This study aims to explore the behavioral characteristics of Indonesian society in handling electronic waste by analyzing topics generated through topic modeling. This research uses BERTopic for topic modeling. The study focuses on Instagram by collecting user comments related to e-waste. The dataset includes mostly comments written in the Indonesian language. The comment data was processed using the Python programming language in a Jupyter Notebook environment. The analysis results in 6 topics, covering various themes such as information searching about the location of e-waste drop boxes, general discourse about e-waste management system, and expectations and hope for expanding initiatives evenly across all cities in Indonesia. reflecting diverse user behaviors toward e-waste. Additionally, coherence scores were obtained, yielding the following value 0.495. This research is expected to serve as an initial reference for relevant stakeholders in formulating better policies and improving the current regulatory framework, ultimately contributing to a more efficient and publicly satisfying e-waste management system in Indonesia.

Copyright
© 2026 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 8th Mechanical and Industrial Engineering Symposium (MIE 2025)
Series
Atlantis Highlights in Engineering
Publication Date
24 May 2026
ISBN
978-94-6239-687-6
ISSN
2589-4943
DOI
10.2991/978-94-6239-687-6_27How to use a DOI?
Copyright
© 2026 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  - Fattah Nasywa Pratama
AU  - Bertha Maya Sopha
PY  - 2026
DA  - 2026/05/24
TI  - Analysis of Consumer Behavior Characteristics on Social Media in Electronic Waste Collection Based on Topic Modeling in Indonesia
BT  - Proceedings of the 8th Mechanical and Industrial Engineering Symposium (MIE 2025)
PB  - Atlantis Press
SP  - 387
EP  - 403
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-687-6_27
DO  - 10.2991/978-94-6239-687-6_27
ID  - Pratama2026
ER  -