Decision Support System on Computer Maintenance Management System Using Association Rule and Fisher Exact Test One Side P-Value

[...]many technician make decision without analysed previous problem from history data, so it has low accuracy when apply in another problem.Because when same problems arise could be the result have different symptom and root cause from previous problem. [...]the need for tools to make decision making that useful for technician to associate symptom and root cause, so that recomended of solution have high accuracy and impact performance of technicians to handle some problem in daily activity. [7], [8] One of way to get information quickly, precisely and accurately that need some methode has good use in statistic and dynamic to reference warehouse data to predict informasion in the future. Because that this research involve statistic methode and warehouse data to take action when get best solution in part of CMMS modul. In research [10] found some problem in that data has maximum dependent, so need test with another method. [...]that data ineligible for pearson chi-squareas confirmed in previous sentence.Cause of the research problem [10], frequencies some datathat has same symptom and root cause smaller than frequencies data that has different symptom and root cause.By this analysis, it is necessary to change correlation method so that problem has expected count 0 or less than 5 from 2x2 table could use for correlation. The rule could be important but only occurs very infrequently. [...]researcher has confirmed if low value of support does not have a rule eliminated, and it tenable as rule by using of test correlation to prove association between that variable [9] confirmed if there appears some problem in association rule, when determined minimun support are too high then many rare items not found and recomended use low minimum support to get it.