Development of a Rooftop PV Acceptance Model Among the Public in Indonesia and Employees of PT PLN (Persero)

Authors

  • Tubagus Riady PT. PLN (Persero) UID Jawa Barat
  • Ari Widyanti Faculty of Industrial Technology, Institut Teknologi Bandung
  • Aji Lesmana PT. PLN (Persero) UID Jawa Barat
  • Alamsyah Anwar PT. PLN (Persero) UID Jawa Barat

Keywords:

Acceptance, PV rooftop, Renewable Energy

Abstract

 The adoption of photovoltaic (PV) technology is vital for sustainable energy solutions, particularly in Indonesia's electricity sector. This study investigates the acceptance of rooftop PV systems among the general public and employees of PT PLN (Persero) using the Theory of Planned Behavior (TPB) framework. Data from 366 respondents (179 public, 187 employees) were analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). Key findings reveal that the public’s adoption intention is significantly influenced by Subjective Norm (β = 0.212, p < 0.05) and Attitude (β = 0.463, p < 0.001), with economic incentives (β = 0.279, p < 0.001) and perceived benefits (β = 0.266, p < 0.001) playing a major role. Conversely, employees’ adoption intention is predominantly driven by Attitude (β = 0.689, p < 0.001), influenced by environmental benefits (β = 0.311, p < 0.001) and perceived incentives (β = 0.323, p < 0.001). The structural model explains 57.3% and 69.5% of the variance in adoption intention for public and employee groups, respectively. This study contributes to understanding adoption drivers and provides actionable recommendations for PT PLN, including targeted communication strategies, infrastructure enhancements, and cultural alignment initiatives to promote rooftop PV adoption.

Downloads

Download data is not yet available.

Author Biographies

Aji Lesmana, PT. PLN (Persero) UID Jawa Barat

Senior Manager Distribusi PLN UID Jawa Barat

Alamsyah Anwar, PT. PLN (Persero) UID Jawa Barat

Manager UP3 Gunung Putri

References

Sumarsono, N., Wahyuni, S., & Sudhartio, L. A paradigm shift of energy sources: Critical review on competitive dynamics of solar PV industry in Indonesia. Renewable Energy Focus, 41, 236–245, (2022).

Huijts, N. M. A., Molin, E. J. E., & Steg, L. Psychological factors influencing sustainable energy technology acceptance: A review-based comprehensive framework. Renewable and Sustainable Energy Reviews, 16(1), 525–531, (2012).

Setiawan, A. D., & Singh, R. Responsible Innovation in Practice: The Adoption of Solar PV in Telecom Towers in Indonesia. In Springer eBooks (pp. 225–243), (2015).

Vibrans, L., Schulte, E., Morrissey, K., Bruckner, T., & Scheller, F. Same same, but different: Explaining heterogeneity among potential photovoltaic adopters in Germany using milieu segmentation. Energy Research and Social Science, 103(October 2022), 103212, (2023).

Wu, J., Wang, S., Meng, Z., & Zhang, R., Public acceptance of residential photovoltaic installation: A case study in China. Heliyon, 9(10), e20891, (2023).

Alsulami, A., Fairbrass, J., Botelho, T., & Assadinia, S. (2024). Technological Forecasting & Social Change Renewable energy and innovation in Saudi Arabia : An exploration of factors affecting consumers ’ intention to adopt Solar PV. Technological Forecasting & Social Change, 204(May), 123430. https://doi.org/10.1016/j.techfore.2024.123430.

Wolske, K. S., Stern, P. C., & Dietz, T. (2017). Explaining interest in adopting residential solar photovoltaic systems in the United States: Toward an integration of behavioral theories. Energy Research and Social Science, 25, 134–151. https://doi.org/10.1016/j.erss.2016.12.023.

Alam, S. S., Masukujjaman, M., Lin, C. Y., Omar, N. A., Na, M., & Othman, A. S. (2022). Factors Affecting Photo Voltaic Solar Energy Usage Intention in Rural Households in Bangladesh: A Structural Equation Modelling Approach. Environmental and Climate Technologies, 26(1), 276–293. https://doi.org/10.2478/rtuect-2022-0021.

Okuyama, A., Yoo, S., Kumagai, J., Keeley, A. R., & Managi, S. (2022). Questioning the Sun: Unexpected emissions implications from residential solar photovoltaic systems. Resources, Conservation and Recycling, 176(April 2021), 105924. https://doi.org/10.1016/j.resconrec.2021.105924.

Vu, T. D., Nguyen, H. V., & Nguyen, T. M. N. (2023). Extend theory of planned behaviour model to explain rooftop solar energy adoption in emerging market. Moderating mechanism of personal innovativeness. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100078. https://doi.org/10.1016/j.joitmc.2023.100078.

Agarwal, R., Bhadauria, A., Swami, S., & Rajwnashi, R. (2023). Factors influence or inhibit the purchase intention towards rooftop solar: Using structural equation modeling and importance performance map analysis approach. Journal of Cleaner Production, 410(February), 137109. https://doi.org/10.1016/j.jclepro.2023.137109.

Hasheem, M. J., Wang, S., Ye, N., Farooq, M. Z., & Shahid, H. M. (2022). Factors influencing purchase intention of solar photovoltaic technology: An extended perspective of technology readiness index and theory of planned behaviour. Cleaner and Responsible Consumption, 7(September), 100079. https://doi.org/10.1016/j.clrc.2022.100079.

Murtiningrum, A. D., Darmawan, A., & Wong, H. (2022). The adoption of electric motorcycles: A survey of public perception in Indonesia. Journal of Cleaner Production, 379(P2), 134737. https://doi.org/10.1016/j.jclepro.2022.134737.

Ajzen, I. The Theory of Planned Behaviour. Organ. Behav. Hum. Decis. Process, 1991.

Sun, Y., Wang, S., 2019. Understanding consumers’ intentions to purchase green products in the social media marketing context. Asia Pac. J. Market. Logist. 32 (4).

Hasheem, M. J., Wang, S., Ye, N., Farooq, M. Z., & Shahid, H. M. (2022). Factors influencing purchase intention of solar photovoltaic technology: An extended perspective of technology readiness index and theory of planned behaviour. Cleaner and Responsible Consumption, 7(September).

Irfan, M., Elavarasan, R. M., Hao, Y., Feng, M., & Sailan, D. (2021). An assessment of consumers’ willingness to utilize solar energy in China: End-users’ perspective. Journal of Cleaner Production, 292, 126008.

Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E., 2013. Multivariate Data Analysis. Pearson, Upper Saddle River, NJ.

Downloads

Published

2025-01-20

How to Cite

Riady, T., Widyanti, A., Lesmana, A., & Anwar, A. (2025). Development of a Rooftop PV Acceptance Model Among the Public in Indonesia and Employees of PT PLN (Persero). ITB Graduate School Conference, 4(1). Retrieved from https://gcs.itb.ac.id/proceeding-igsc/index.php/igsc/article/view/298

Issue

Section

Articles