Analysis of factors that influence household customer's decision in using electricity at peak time and its correlation towards saving electricity (a case study at PT. PLN Jakarta Raya & Tangerang distribution)
The focus of this research is to understand the drivers of customer decisions in using electricity at peak-load hours (between 17.00 to 22.00 wib) and their behaviors towards electricity conservation in indonesian household. The underlying rationale is to influence a reduction in energy consumption by stimulating energy saving behaviors, thereby reducing the impact of energy use on the environment. How do cultural factors, social factors, personal factors, psychological factors, and pln services influence customer decision in using electricity at peak load hours? How is the correlation between the decisions in using electricity during peak load hours with the household customer?çös behavior towards saving electricity? How do pro-social intensions, motivations, access to information, and knowledge influence customer behavior in saving electricity? How is the correlation between customer awareness of consequences, aspiration of responsibility, personal norms towards their pro-social intensions in saving electricity? What interventions or involvements are most likely to affect households?çö saving electricity behavior? From the classification of household segments, which class is the most involved in saving electricity? All of the above questions will be the part of the research purpose to find out the answers. The research is finding that all factors (personal, social, pln services, psychological, and cultural) are positively influence customer decision in using electricity at peak load hours. There is a correlation between the decisions in using electricity during peak load hours with the household customer?çös behavior towards saving electricity. All factors (pro-social intensions, knowledge, motivation, and access to information) are significantly influence customer behavior in saving electricity. There is strong correlation between customer awareness of consequences, aspiration of responsibility, personal norms towards their pro-social intensions in saving electricity. The intervention or involvement most likely to affect households?çö saving electricity behavior is by increasing their motivation, knowledge, and access to information about saving electricity programs. And the last, from the classification of household segments, class r1:2.200va is the most involved in saving electricity.
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