PERBANDINGAN IMPLEMENTASI METODE WEIGHTED MOVING AVERAGE DAN METODE SINGLE EXPONENTIAL SMOOTHING PADA PENENTUAN PERSEDIAAN OBAT

Authors

  • I Gede Bawa Aprilyanta Universitas Palangka Raya
  • Ariesta Lestari Universitas Palangka Raya
  • Sherly Christina Universitas Palangka Raya

DOI:

https://doi.org/10.33020/saintekom.v12i2.317

Keywords:

Single Exponential Smoothing, Waterfall, Weighted Moving Average

Abstract

Pharmacy is a business-oriented business which directly sells medicines to consumers. In ensuring that the drug supply is in accordance with market demand, the leadership of the Hasanah Palangka Raya Pharmacy usually estimates the drug supply for the future period based on sales reports and experience. For research purposes, it will provide a solution by developing Forecasting Applications by applying the Weighted Moving Average method with weights 2, 3, 4, 5, 6, 7, 8 and 9 periods and the Single Exponential Smoothing method with constant smoothing or (alpha), namely 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8 and 0.9. The results of the study resulted in the Weighted Moving Average method as the method that has the smallest Error value where from the 4 drugs that were used for forecasting, 3 drugs showed the Weighted Moving Average method as the best method which has the smallest Mean Absolute Deviation value and the smallest Mean Absolute Percentage Error value compared to Single Exponential Smoothing.

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Author Biography

I Gede Bawa Aprilyanta, Universitas Palangka Raya

Universitas Palangka Raya

References

Fathansyah. 2015. Basis data. Informatika, Bandung.

Heizer, Jay dan Barry Render. 2015 Manajemen Operasi, Salemba Empat, Jakarta.

Hendriani, T., Muh.Yamin & Dewi, A. P. 2016. ‘Sistem Peramalan Persediaan Obat Dengan Metode Weight Moving Average dan Reorder Point’. semanTIK, pp. 207-214.

Kepmenkes RI No. 1027/MENKES/SK/IX/2004, Tentang Standar Pelayanan Farmasi di Apotek. Depkes RI, Jakarta.

Mardiansyah, Edi. Dwi Cahyono & Ratna Nur Tiara Shanty. 2016. ‘Sistem Informasi Pengendali Persediaan Barang Menggunakan Metode Triple Exponential Smoothing untuk Peramalan Penjualan (Studi Kasus: Luna Pet Shop)’. Jurnal INFORM, vol.1, no. 2, pp.76-87.

Ristono, Agus. 2013. Manajemen Persediaan, Graha Ilmu, Yogyakarta.

Sommerville, Ian. 2011. Software Engineering, (9th ed), Pearson Education, Boston Massachusetts.

Yudaruddin, Rizky. 2019. Forecasting untuk Kegiatan Ekonomi dan Bisnis, Pustaka Horizon, Samarinda.

Yulianto A. S., Rosa, Shalahuddin, M. 2013. Rekayasa perangkat lunak terstruktur dan berorientasi objek. Informatika, Bandung.

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Published

30-09-2022

How to Cite

Aprilyanta, I Gede Bawa, Ariesta Lestari, and Sherly Christina. 2022. “PERBANDINGAN IMPLEMENTASI METODE WEIGHTED MOVING AVERAGE DAN METODE SINGLE EXPONENTIAL SMOOTHING PADA PENENTUAN PERSEDIAAN OBAT”. Jurnal Saintekom : Sains, Teknologi, Komputer Dan Manajemen 12 (2):137-45. https://doi.org/10.33020/saintekom.v12i2.317.