Prediksi Jumlah Mahasiswa Baru Fti Usn Kolaka Menggunakan Metode Single Exponential Smoothing

The FTI student admission target every year is often not achieved. This happened because of the change in FTI's location, from USN Kolaka which was to Tanggetada. In addition, there are also other causes terms large number students who do graduate on time, causing an unbalanced ratio lecturers and students. will reduce assessment at time accreditation. Predictions made assist planning making decisions determine priorities for how many prospective be accepted each year. observational data used new 2013-2021 academic (9 periods) Information Systems study program 2018-2021 (4 Computer Science program. Data processing carried out using Single Exponential Smoothing Method MAPE (Mean Absolute Percent Error) accuracy testing. results testing this method that information systems predicted obtained 2022/2023 141 people, smallest value = 26.67% shows ability forecasting model quite good (Reasonable). Meanwhile, computer science program, prediction were 116 18.52%, indicates a ability.