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Descriptive qualitative analysis reveals effective problem-solving strategies in coral reef transplantation, suggesting approaches for similar future projects.
The PAMAN TOPA (Pandanan Marine Techno Park) programme, a collaboration between PT PLN IP UBP Jeranjang, POKMASWAS Pandanan, and BPSPL Denpasar, successfully addressed coral reef transplantation failures caused by unsuitable media unable to withstand ocean waves and seawater corrosion. Using a quadruple-loop learning framework and descriptive qualitative methods, this study found that success stemmed from deep learning during problem-solving: learning from past failures, understanding problem characteristics, and considering relevant external factors. These insights shaped effective actions, including using FABA as a mixing agent for Block Macs media. Strong leadership, good coordination, and active participation further contributed to the outcome. The programme’s long, in-depth process offers valuable lessons and a replicable model for tackling similar challenges in the future.
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Muhammad et al. (2025) studied this question.
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