Mangrove health tester: Arduino-based mangrove health detection innovation as the first step in mitigating the tsunami disaster in Palu City, Central Sulawesi

• Main Authors: Wulandani, Rafiqa, Septiawati, Dian, Syahrudin, Khofifah Indah Pratiwi, Iqbal, Moh
• Format: Conference Proceeding
• Language: English
• Subjects: Diameters; Innovations; Luminous intensity; Random sampling; Salinity
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0133458

Mangrove has an important role in the ecosystem. However, the existence of the mangrove ecosystem is experiencing disruption, which affects the existence of mangroves. It is important to know the health of mangroves to determine further conservation steps. The research method by purposive random sampling to choose tree of mangrove and measure environmental factor like water salinity, pH levels and RGB values of leafs using the innovation of the mangrove health tester tool that take into account the size including large stem diameter, tree height, and the light intensity. The species of mangrove will be taken to measurement in Rhyzophora sp. We take 5 location of mangrove ecosystem as our sample, for first location R=22.40 G=20.48 B=19.98 salinity=27.7‰ pH=7.16, second location R=17.52 G=15.95 B=16.15 salinity=29.71 pH=7.35, third figurelocation R=18.60 G=17 B=17.03 salinity=29.40‰ pH=7.93, fourth location R=21.33 G=19.17 B=19.02 salinity=28.75‰ pH=8.04, fifth location R=25.48 G=23.25 B=21.56 salinity=0‰ pH=8.04. Therefore, the salinity and pH levels effects the RGB levels of Mangrove leaves as shown in 5th location. The results of measurements of salinity, pH levels and RGB values of leaves linked as a result of generalizing analysis of healthy mangroves.