Spatio-Temporal Salt Ponds in Madura Island in 2009-2019 for Managing Sustainable Coastal Environments

Abstract

The salt pond ecosystem has a very important ecological function, especially for the coastal region of Madura. One of the ecological functions of the salt pond is supporting the economy of the community. The purposes of this study are: (1) To determine changes in salt ponds in Madura Island in the last 10 years (2009-2019) based on remote sensing data and Geographic Information System; (2) To make a simulation of structuring the Salt Pond area on Madura Island in the management of a sustainable coastal environment. This type of research is a descriptive-analytic survey method using remote sensing data and Geographic Information System. The object of the study is the Tambak Garam (salt pond) area in Madura Island focusing on Sampang Regency, Pamekasan Regency, and Sumenep Regency. Data collection techniques carried out by observation, interviews, and documentation. Changes in Salt Ponds data analysis were carried out using remote sensing data extraction method with true-color image input and NDVI. The results show that the area of salt ponds decreased from year to year in the district of Sampang, Pamekasan, and Sumenep. Management intensification using more modern technology is done to increase production in the declining salt pond areas. Salt production runs optimally if it is carried out in coastal areas with sloping morphology and soil that is not porous in the form of clay soil, which does not absorb seawater. Sloping morphology was chosen to support the entry of seawater into salt pond plots that use tidal power.

Spatio-temporal NDVI changes of mangrove forest in West Bangkalan using high resolution imagery

“…The study's preliminary findings suggest that salt ponds have replaced mangrove land as the primary land use. It is well known that certain studies have revealed a shift in land cover towards salt pond areas in a number of places, particularly on Madura Island or East Java [17,18]. Many coastal areas have a drop in NDVI.…”

Classification of Salt Quality Based on the Content of Several Elements in the Salt Using Machine Learning

“…Based on previous research, the researchers were intrigued to examine the implementation of various different algorithms to construct a classification system for salt quality. The data used in this study consists of salt data obtained from the Sumenep Regency, which is the largest salt-producing region on Madura Island [12].…”