Weather forecast in an area is unpredictable. This is due to the fact that human factors cannot predict it. The weather forecast is by applying data mining using the algorithm Naive Bayes, K-nearest Neighbor (K-NN), and C.45. Bayesian Classification is a statistical classification method that is useful for the process of determining the probability of a class membership. KNN Algorithm is a classification algorithm based on the similarity between one data and another data. C4.5 algorithms is an easy-to-use classification method interpreted. The best level of accuracy between the three algorithms can be determined by comparison. Comparison of algorithm aims to get the algorithm that is considered accurate, precision, recall and f-measure to make a prediction of a problem. the results of the comparison of the k-Nearest Neighbor, Naïve Bayes and C4.5 classification algorithms used in weather prediction case studies stating that the KNN classification algorithm is a classification algorithm that has the highest accuracy with k = 7 and fold = 5 in predicting the weather compared to Naïve Bayes classification algorithm with fold = 3 and C.45 which reached 71.58% followed by C.45 with fold = 20 having an accuracy of 69.83%. and finally Naïve Bayes 68.77%.
So far in Islamic marriage done by ta'aruf process which is the initial process of introduction in marriage. Therefore, the election system of Islamic couple is chosen to make it easier for couples to get the best partner for themselves. This system aims to provide partner recommendations with multiple options. Measurement in matchmaking using Fuzzy-Analytical Hierarchy Process (Fuzzy-AHP) and Weighted Sum Model (WSM) method because the basic concept of F-AHP method is a method used to know the action performed by comparison between several factors and some alternatives. FAHP is used in criteria weighting and WSM is used in sub criteria weighting. The results of weighting of each alternative in accordance with many criteria established, namely religion, property, heredity, physical, education, organization, marital status, expertise, and rank. The study compared the use of FAHP and WSM methods compared with AHP and WSM methods. And the result is Using AHP, found that Religion has the highest priority that is 0.4073 while using FAHP has the highest priority that is religion, organization, expertise, status, and rank with weight 0.172848. As for the results of alternative rankings, the use of fuzzy-AHP method is closer to the recommendation given by AHP.
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