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All Journal Moneter : Jurnal Akuntansi dan Keuangan JURNAL ILMIAH M-PROGRESS Journal Of Management Science (JMAS) Jurnal Pendidikan dan Konseling CERMIN: Jurnal Penelitian Emanasi Jurnal Ilmu Keislaman dan Sosial Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Ekonomi dan Manajemen Journal of Industrial Engineering & Management Research (JIEMAR) Profitabilitas Jurnal Pengabdian Kreatif Cemerlang Indonesia
Bisri Bisri
Universitas Bina Sarana Informatika
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Social Sciences Other

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Journal : Akrab Juara : Jurnal Ilmu-ilmu Sosial

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FORECASTING ANALYSIS OF NEW STUDENTS ACCEPTANCE USING TIME SERIES FORECASTING METHOD Suhardi Suhardi; Tri Widyastuti; Bisri Bisri; Wahyudi Prabowo
Jurnal Akrab Juara Vol 4 No 5 (2019)
Publisher : Yayasan Akrab Pekanbaru

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Abstract

New students admission (PMB) is a routine activities for education institution. Therefore, it was necessary for the institution to be aware of the mechanism of PMB to produce competent and qualified prospective students. Forecasting of PMB needed to predict the number of students and to prepare the institution infrastucture facilities to welcome the new freshmen. The research discussed the determination of forecasting number of Universitas Bina Sarana Informatika PSDKU Karawang students by using time series forecasting with three different method: moving everage, exponential smoothing and trend analysis. It also compare Mean Absolute Presentage Error (MAPE) calculated by QM for Windows. The result of the research showed that trend analysis was the most effective method which had 41.84 MAD, 2324.28 MAD, 4.99 % of MAPE and 557 students for next forecasting. The conclussion from data analysis processing showed that Universitas Bina Sarana Informatika should provide all of infrastructure facilities for the teaching and learning process with the number of 557 students in 2020.
Co-Authors Abd. Rasyid Syamsuri Ahmad Taufik Dian Berliansyah Putra Ervina Janis Herlin Widasiswi Setianingrum Herlin Widasiwi Herlin Widasiwi Setianingrum Mohammad Aris Safrezi Fitra Safrezi Fitra Suhardi Suhardi Suhardi Suminten Suminten Tri Widyastuti Tri Widyastuti Tri Widyastuti Uun Untinawati Wahyudi Prabowo