Indonesia is an archipelago. Consequently, the majorities are working around the sea such as a fisherman. While the number of activities at sea are increasing more accident occurred are rising. This research presents marine weather prediction system using Hybrid Methods TS-ANFIS (Adaptive Neuro Fuzzy Inference System-Time Series) in order to anticipate bad weather and reduce risk. This method use both ocean current and wave height at Java Sea particularly on Gresik in order to forecast ocean current velocity and wave height. Input variables used in this paper are data at (t), an hour before (t-1), and two hours before (t-2) and obtained next hour, next 6 hours, next 12 hours, and next day prediction as output. The results indicate that ocean current speed attain 16.97327 cm/s; 13.22302 cm/s; 10.21107 cm/s; 14.09871 cm/s with mean error is about 0.12993; 1.5758; 1.3182; 0.82613 while wave height reach 0.45554 m; 0.48286 m; 0.46395 m; 0.54571 m with mean error is about 0.0012247; 0.018619; 0.046584; 0.060206. Therefore, it was safe to sailing on 1 st January 2016.
In the academic environment there are various problems, one of problem is scheduling of courses at the university level. These problems are affected by the allocation of time (Conformity of SKS with each course), the availability of classrooms, and many study program. In the study preparation lecture schedules in this time, the parameters used, among others: second semester students in each Study Program, Number of Study Program, availability of classrooms, Lectures, number of credits a day of each study program at the Faculty of Science and Technology. This research is aimed as an alternative in formulating scheduling system when the faculty there is an imbalance between the lecture hall, many Study Program, and the number of credits taken each Study Program. Based on the analysis of Graph Coloring and Edge Coloring at case of scheduling Study Program Faculty of Science and Technology State Islamic University Sunan Ampel Surabaya, which has 6 Programs and 5 lecture room with three simulated combinations of input data, obtained scheduling unchanged (consistent) and results scheduling does not overlap / collision, both in the lecture room, and the time of the lecture.
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