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All Journal Jurnal Ilmu Komputer dan Informasi Jupiter Jurnal Buana Informatika Jurnal Informatika dan Teknik Elektro Terapan Register: Jurnal Ilmiah Teknologi Sistem Informasi SemanTIK : Teknik Informasi Jurnal Teknologi Sistem Informasi dan Aplikasi Community Development Journal: Jurnal Pengabdian Masyarakat Community Empowerment Jurnal Sains Teknologi dan Sistem Informasi
Yuwanda Purnamasari Pasrun
Universitas Sembilanbelas November Kolaka
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Public Health Social Sciences

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Journal : Jurnal Sains Teknologi dan Sistem Informasi

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Prediksi Jumlah Mahasiswa Baru Fti Usn Kolaka Menggunakan Metode Single Exponential Smoothing Aliniy Aliniy; Yuwanda Purnamasari Pasrun; Andi Tenri Sumpala
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 3 No. 1 (2023): April 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v3i1.1573

Abstract

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 in Kolaka to USN Kolaka which was in Tanggetada. In addition, there are also other causes in terms of the large number of students who do not graduate on time, causing an unbalanced ratio of lecturers and students. This will reduce the assessment at the time of accreditation. Predictions are made to assist FTI in planning and making decisions to determine priorities for how many prospective students will be accepted each year. The observational data used are data on the number of new FTI students for the 2013-2021 academic year (9 periods) for the Information Systems study program and the 2018-2021 academic year (4 periods) for the Computer Science study program. Data processing is carried out using the Single Exponential Smoothing Method and MAPE (Mean Absolute Percent Error) accuracy testing. The results of testing this method are that for the information systems study program the predicted results obtained in the 2022/2023 academic year are 141 people, and the smallest value of MAPE = 26.67% which shows the ability of the forecasting model to be quite good (Reasonable). Meanwhile, for the computer science study program, the prediction results obtained in the 2022/2023 academic year were 116 people, and the smallest value of MAPE = 18.52%, which indicates a good forecasting model ability.
Co-Authors Aliniy Aliniy Amaliya Nurani Basyarah Andi Tenri Sumpala Chastine Fatichah Djafar Djafar Fathur Rahman Rustan Haryati Haryati Ilayani, Ilayani Indar Ismail Jamaluddin Jayanti Yusmah Sari Jumadil Nangi, Jumadil La Ode Hasnuddin S. Sagala La Sudarman Mardiawati Mardiawati Muh Iskandar Z. A Muh. Ihsan Sarita Muhammad Syaiful Muliyadi Muliyadi Mutmainnah Muchtar Nanik Suciati Nasarudin Nasarudin Natalis Ransi Nisa Miftachurohmah Noorhasanah Z Nur Fajriah Muchlis Nurfitria Ningsi Phradiansah Phradiansah Rahmat Karim Rasmiati Rasyid Rizal Adi Saputra Sarimuddin, Sarimuddin Suharsono Bantun Sutardi Sutardi