Track: Technology Management

Abstract

The development of renewable energy has provided Indonesia with an opportunity to tap into its solar energy potential, which amounts to a staggering 207 GW. This opportunity is further driven by the increasing demand for electricity, the aging and inefficient fossil fuel power plants, the declining costs of solar panel installations, and the ease of their deployment. However, customers often encounter challenges in selecting the appropriate solar panels. These challenges stem from various factors, including the lack of easily accessible product information, the multitude of alternatives with diverse parameters in solar panel selection, and the absence of brand-specific recommendations for implementing solar panel types. Consequently, customers face difficulties in making informed decisions, potentially hindering the acceleration and optimization of solar panel expansion plans while also increasing the risk of investment errors. Solar panels come in various types based on their brands, and each brand possesses distinct advantages and disadvantages, making it difficult to determine the most optimal choice for implementation. Therefore, a selection process is necessary to identify the most suitable solar panel type based on brand, utilizing the Multi-Criteria Decision Making (MCDM) method known as Fuzzy AHP-TOPSIS. This method will evaluate nine alternative monocrystalline solar panel types, each with a power rating of 540 watts peak, sourced from different brands. The evaluation will be based on validated criteria established through expert assessments. By implementing this method, customers will be empowered with a systematic approach and better recommendations for selecting solar panel products.