Publications by authors named "Fajar Nurrohman Haryadi"

Time of Use (ToU) is one of the types of dynamic pricing strategies at which a pricing scheme employs a variable rate rather than a fixed one causing electricity tariffs over a particular consumption period to rise once in high consumer demand at peak times and to fall once the demand is low at off-peak times. Owing to the important factor of perceiving customers' response to the successful implementation of the ToU tariff scheme, this study examines the household electricity customers' response in Indonesia - especially residents of Java Island and Bali Island - to future implementation of this dynamic pricing strategy in utility energy tariff quality and reliability. Data on the behavior of the PLN customers need to be thoroughly gathered and then analyzed quantitatively for well-informed decisions on a set of variable rates based on peak/off-peak times of the day and the season to establish in a board of directors' room.

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Article Synopsis
  • Indonesia's State Electricity Company (PLN) is modernizing its business processes to improve efficiency and service quality in response to complex customer expectations in the digital economy.
  • To better understand customer feedback, PLN is utilizing Natural Language Processing (NLP) methods, specifically Latent Dirichlet Allocation (LDA), to analyze large volumes of social media data and identify prevalent topics.
  • The study also adapts the e-ServQual and e-RecServQual methodologies to propose personalized solutions for identified challenges, enabling PLN to implement data-driven decision-making and promote sustainability.
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