OPTIMIZATION MODEL OF FORMER COAL MINE LAND AS A PLANTING MEDIA: MULTISYMBIOTIC INTERACTION STUDY OF MICROORGANISMS, PLANTS AND ENVIRONMENT

The East Kalimantan region of Indonesia has a large ex-coal mining area, even though this area has the potential to be used as productive land. The research aims to develop an optimization model for coal mining land to be used as a planting medium by first examining the factors that influence plant growth and productivity so that this optimization model can function well. Furthermore, the hypothetical model was developed based on theoretical and empirical studies which were tested using GSCA. Empirical data collection was carried out using a Randomized Completely Block Design with 10 replications and one treatment factor combining mycorrhiza, phosphate-solubilizing bacteria, and nitrogen-fixing bacteria. The parameters measured are soil physical properties, soil chemical properties, soil biological properties, and environmental conditions (climate) which influence the growth and productivity of test soybean plants grown on former coal mine land. Next, the empirical data will be tested using path analysis to determine the factors that significantly influence plant growth and productivity. The results of the Goodness of Fit Overall Model test show that the GFI has met the cut-off value, so the GSCA model in this study is included in a category that is suitable and suitable for use. From the empirical data that a model for optimizing coal mining soils has been produced through the use of multi-symbiotic organisms by combining effective organisms: mycorrhizae - phosphate solubilizing bacteria - rhizobium bacteria tested on legumes including the physical, chemical, biological, and climatic parameters that affect the model.