WEATHER DATA GOES DIGITAL: EDUKASI IoT DAN MONITORING CUACA REAL-TIME MELALUI AUTOMATIC WEATHER STATION

Authors

  • Diana Hertanti Universitas Pamulang
  • Zulmansyah Universitas Pamulang
  • Andi Universitas Pamulang
  • Asep Irwan Maulana Universitas Pamulang
  • Dimas Chandra Adinata Universitas Pamulang
  • Tonny Satria Kesuma Wijay Universitas Pamulang
  • Nurrahmat Jatmiko Universitas Pamulang

Abstract

The rapid development of Internet of Things (IoT) technology creates opportunities to present environmental information in a measurable and near-real-time form. This community service activity aimed to strengthen the understanding of students at MAN 18 Jakarta Timur regarding weather parameters, Automatic Weather Station (AWS), IoT, and real-time weather monitoring. The activity was conducted on 5 October 2026 from 09.00 to 12.00 WIB and involved students from grades X and XI. The implementation used an educational and participatory approach through interactive presentation, AWS demonstration, real-time monitoring demonstration, question-and-answer sessions, discussion, and direct interaction with participants. The material covered basic weather concepts, rainfall, AWS sensors, the flow of sensor data acquisition and communication, dashboard-based monitoring, and the use of official weather information. The implementation results, based on field observation and participant interaction, showed active participation during the presentation and discussion sessions. Students raised questions about IoT operation, weather observation instruments, data transmission, and the use of monitoring data. The activity also provided a contextual learning experience by connecting information technology with weather observation. The activity indicates that contextual demonstrations of AWS and real-time weather data can serve as an accessible medium for introducing IoT and environmental data literacy to secondary school students. Further activities can strengthen the program through quantitative pre-test and post-test analysis and project-based IoT learning.

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Published

2026-10-15

Issue

Section

Articles