Implementasi Algoritma Fuzzy C-Means Pada Sistem Seleksi Proposal Penelitian: Studi Kasus LP2M UIN Sunan Gunung Djati Bandung

Aulia, Nasta (2017) Implementasi Algoritma Fuzzy C-Means Pada Sistem Seleksi Proposal Penelitian: Studi Kasus LP2M UIN Sunan Gunung Djati Bandung. Diploma thesis, UIN Sunan Gunung Djati Bandung.

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Abstract

Process of selecting proposal research in LP2M UIN Sunan Gunung Djati Bandung is still done manually. To support resolve the issue then the required method in the accuracy and speed of decision making feasibility proposal research. With Fuzzy C-Means Algorithm, then the results of the selection of proposals will be grouped into research on these three categories are viable, considered and rejected. Based on the testing system and manual testing using 50 samples of data that Fuzzy C-Means algorithm has an accuracy rate 90% of the work on the selection of proposal research system.

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