Publications by authors named "Indra A Aditya"

Article Synopsis
  • Indonesia has introduced new renewable energy tariffs to boost its energy transition, particularly focusing on biomass power plants (BPPs) but there's a lack of academic research on this topic.
  • The study evaluates BPPs' potential in helping meet Indonesia's renewable energy goals through financial and emission analyses, showing that initial tariffs lead to positive financial results while expansion tariffs require high capacity factors to be viable.
  • The findings suggest that incorporating average generation costs into tariff formulas is essential for ensuring economic sustainability and promoting the adoption of renewable energy, benefiting both the state-owned PLN and independent power producers (IPPs).
View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

Indonesia, a key player in the global energy transition, faces surging electricity demand and ambitious renewable energy goals. In response, the government introduced a new regulation about renewable energy tariffs, including tariffs for photovoltaic (PV). However, there remains a gap in the academic literature regarding PV power plant feasibility studies under these tariffs.

View Article and Find Full Text PDF
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.
View Article and Find Full Text PDF