Komparasi Metode Peramalan Grey dan Grey-Markov untuk mengetahui Peramalan PNBP di Universitas Udayana

  • I Dewa Nyoman Anom Manuaba Universitas Udayana
  • Ida Bagus Gede Manuaba Universitas Udayana
  • Made Sudarma Universitas Udayana

Abstract

Forecasting is the process of estimating a future value using data from the past or data from the present as a reference. Forecasting is a critical component of an organization's short- and long-term planning as a reference for management decision making. Identifying the data pattern in the time series data utilized is a crucial step in identifying the best forecasting approach for the data pattern. The Gray Prediction Model is a forecasting technique that can be used with partial data or a little amount of data. The Grey-Markov forecasting approach may be used to make very accurate forecasts using Udayana University education acceptance data, which is limited, with only five historical data and data patterns classed as horizontal data patterns with modest fluctuations.

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Published
2022-07-09
How to Cite
MANUABA, I Dewa Nyoman Anom; MANUABA, Ida Bagus Gede; SUDARMA, Made. Komparasi Metode Peramalan Grey dan Grey-Markov untuk mengetahui Peramalan PNBP di Universitas Udayana. Majalah Ilmiah Teknologi Elektro, [S.l.], v. 21, n. 1, p. 83 - 88, july 2022. ISSN 2503-2372. Available at: <https://ojs.unud.ac.id/index.php/jte/article/view/81422>. Date accessed: 30 sep. 2022. doi: https://doi.org/10.24843/MITE.2022.v21i01.P12.