Analysis of the use of Analytics Platform for the Commercial Value of Mud crab Production using Non-parametric Model

There are several procedures presently involving how to handle the grow-out culture method in mud crab propagation. Unfortunately, due to the lack of administration in the decision-making process, low productivity in mud crab farming remains uncontrollable. The commercial value of crabs have been sacrificed through market pricing and defining quality of crabs, most especially the S. Serrata which is invincible in price and quality. The Mud crab Analytics Platform (MAP) is a state-of-the-art innovative technology that supports the decision-making process involving the use of machine learning algorithms to calculate the units of analytics. Through the MAP, the data transformed into information to gain new knowledge until forming wisdom to decision-making. The paradigm of the mud crab analytics platform execution and control process standard (MAPExeCPS) is a guide on how the platform works following the phases; data collection, data modeling, data analytics, visualization, and decision-making. To assess the commercial value of mud crab through the use of MAP, the survey questionnaires are distributed to the respondents (N=110) and the research report is created using quantitative information. The results of statistical analyses were calculated such as measuring reliability, descriptive statistics, normality test, and non-parametric test which gave precise findings for the investigation. Therefore, it proved that satisfaction upon using the analytics platform was measured and the decision-makers are more likely satisfied with their works for managing mud crab farming to increase the commercial value of their product.