Proceedings of the 6th Mechanical Engineering, Science and Technology International conference (MEST 2022)

Implementation of Clustering Analysis on Solar Panels Adoption by MSMEs in Banyumas Regency

Authors
Famila Dwi Winati1, *, Anastasia Febiyani1, Prisilia Rahayu Cahyaningtyas1, Amanda Aziz P. Ramadhani1
1Industrial Engineering Study Program, Faculty of Industrial Engineering and Design, Institut Teknologi Telkom Purwokerto, Jl. DI Panjaitan No. 128, South Purwokerto, Banyumas Regency, Central Java, 53147, Indonesia
*Corresponding author. Email: familadw@ittelkom-pwt.ac.id
Corresponding Author
Famila Dwi Winati
Available Online 19 April 2023.
DOI
10.2991/978-94-6463-134-0_4How to use a DOI?
Keywords
Solar; Panels; Banyumas; MSME
Abstract

Micro, Small, and Medium Enterprises (MSMEs) are essential for regional economic growth. In their operations, MSMEs often face technical constraints, one of which is the limited supply of electrical energy that can hamper production. Solar energy as renewable energy has great potential and is an alternative solution to minimize the impact of this problem. However, the readiness and ability of MSMEs to adopt new technologies often differ. Therefore, it is necessary to determine specific policies and strategies to encourage the adoption of solar panels based on the conditions faced by certain MSMEs. This study aims to classify MSMEs into particular groups based on their level of expectation, readiness, and ability to adopt solar panels as an alternative to conventional electricity supply. The hierarchical clustering approach was implemented and resulted in four optimal clusters with the number of members played by cluster 1. Cluster 1 shows the characteristics of MSMEs that are willing, ready, and able to adopt solar panels. Cluster 2 contains MSMEs that are unwilling, unprepared, and unable to adopt solar panels. Cluster 3 has the characteristics of MSMEs that are capable but still hesitant to adopt solar panels. In contrast, cluster 4 is MSMEs that want but need more time to be ready and able to adopt solar panels. Policies to encourage the adoption of solar panels by MSMEs are proposed based on the characteristics of each group, ranging from intensive assistance to resource assistance. The results of this study can provide an overview of the perception of MSMEs on the implementation of solar panels in Banyumas and Indonesia in more general.

Copyright
© 2023 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 6th Mechanical Engineering, Science and Technology International conference (MEST 2022)
Series
Advances in Engineering Research
Publication Date
19 April 2023
ISBN
10.2991/978-94-6463-134-0_4
ISSN
2352-5401
DOI
10.2991/978-94-6463-134-0_4How to use a DOI?
Copyright
© 2023 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  - Famila Dwi Winati
AU  - Anastasia Febiyani
AU  - Prisilia Rahayu Cahyaningtyas
AU  - Amanda Aziz P. Ramadhani
PY  - 2023
DA  - 2023/04/19
TI  - Implementation of Clustering Analysis on Solar Panels Adoption by MSMEs in Banyumas Regency
BT  - Proceedings of the 6th Mechanical Engineering, Science and Technology International conference (MEST 2022)
PB  - Atlantis Press
SP  - 24
EP  - 35
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-134-0_4
DO  - 10.2991/978-94-6463-134-0_4
ID  - Winati2023
ER  -