STRATEGI KOMUNIKASI HUMAS BMKG KOTA PADANG DALAM MITIGASI BENCANA DI KELURAHAN PURUS KECAMATAN PADANG BARAT

Padang city as a disaster-prone area requires an effective communication strategy to build public awareness of Disaster Mitigation. This study aims to describe the communication strategy of Public Relations BMKG Padang in disseminating meteorological information for extreme disaster mitigation in West Padang District. The research method used is descriptive qualitative with purposive sampling technique. The research informants consisted of eight people who were divided into the main informants from the internal BMKG Padang (BMKG Station Chief, Head of Public Relations, Senior Meteorological Staff, Disaster Communications Officers, and Weather Prediction analysts) and supporting informants from the Purus Village Community (Lurah Purus, community leaders/RT heads, and fishermen residents). Data collection techniques are done through observation, in-depth interviews, and documentation. Data analysis using Miles and Huberman models that include data reduction, data presentation, and conclusion. This study uses Risk Communication Theory as a theoretical basis to analyze the effectiveness of communication strategies in the context of disaster mitigation disaster mitigation communication strategies implemented by BMKG in Purus Village, Padang city, with a focus on community-based early warning systems. Through an adaptive and participatory approach, BMKG successfully combines live communication, the use of digital technology, and collaboration with local community leaders to effectively disseminate weather information. The active involvement of the community, including senior fishermen and informal figures, as well as the delivery of information that is simplified and adapted to the rhythm of local life, are key to the success of this system. The results show that a strong community information network and a deep understanding of local culture contribute to increased public awareness and response to severe weather risks.