Case-Based Reasoning Method Implementation for Well Water Feasibility Recommendation System with Nearest Neighbor Algorithm

Water is the most important natural resource used by humans to meet the needs of life. And water is one of the media that can be used by pathogenic microorganisms as a place to breed and also as a temporary residence before moving to humans so tolluted water can cause health problems. The community must be able to know the requirements for drinking water, especially the use of well water that will be used suitable for consumption by the body. In addition, the quality of water in clean water supply facilities, namely well water that does not meet the requirements is also a problem that needs attention and is often found in the community. The aim of this research is to apply the case based reasoning method in the recommendation system for the feasibility of well water using the nearest neighbor algorithm. Measurement of the feasibility of well water uses physical parameters consisting of 6 attributes, namely (1) turbidity, (2) color, (3) dissolved solids, (4) temperature, (5) taste and (6) smell. In testing the system on 5 aspects of usability testing based on the results of questionnaires to 20 respondents, namely the auxiliary aspect gave a value of 71%, the interface aspect gave a value of 80%, the navigation aspect was 84%, the pedagogical aspect was 78% and the robustness aspect was 78%. With a total average of 78% overall test results which identify the well water recommendation system suitable for use by users.