Peramalan Supply Bahan Baku Menggunakan Metode Regresi Linier dan Exponential Smoothing

Authors

  • Nardha Salsavira Institut Teknologi Adhi Tama Surabaya
  • Evi Yuliawati Institut Teknologi Adhi Tama Surabaya

DOI:

https://doi.org/10.29407/noe.v6i2.20371

Keywords:

Forecasting, Linear Regression, ExponentialSmoothing

Abstract

Production process that happened in manufacturing industry will never be seperated from production planning and scheduling. This was closely related to sustainablity of company. Uncertainty of production targets or the amount of supply that must be obtained often becomes an issues in some companies. It can be solved with production planning and control as the first step that can be taken to make production process balanced with market. This research aims to facilitate production management in scheduling operations by forecasting erratic supply. Forecasting can be done with linear regression and exponential smoothing use POM QM as software assistance. Based on calculation result, exponential smoothing was an optimal method used for forecasting than linear regression. It can be concluded from the lowest result of the error rate test. Error rate test was done with MAD (Mean Absolute Deviation), MSE (Mean Square Error) and MAPE (Mean Absolute Percentage Error)

References

A. Lusiana and P. Yuliarty, “PENERAPAN METODE PERAMALAN (FORECASTING) PADA PERMINTAAN ATAP di PT X,” Ind. Inov. J. Tek. Ind., vol. 10, no. 1, pp. 11–20, 2020, doi: 10.36040/industri.v10i1.2530.
A. M. Al’afi, W. Widiart, D. Kurniasari, and M. Usman, “Peramalan Data Time Series Seasonal Menggunakan Metode Analisis Spektral,” J. Siger Mat., vol. 1, no. 1, pp. 10–15, 2020, doi: 10.23960/jsm.v1i1.2484.
A. R. T. P. Christi and E. Yuliawati, “Analisis Perencanaan Dan Pengendalian Material Biaya Persediaan,” Semin. Nas. Sains dan Teknol. Terap. VI, pp. 485–492, 2018.
D. A. Pratama, S. Hidayati, E. Suroso, and D. Sartika, “Analisis Peramalan Permintaan dan Pengendalian Persediaan Bahan Baku Pembantu pada Industri Gula (Studi Kasus PT. XYZ Lampung Utara),” J. Penelit. Pertan. Terap., vol. 20, no. 2, pp. 148–160, 2020, doi: 10.25181/jppt.v20i2.1636.
D. K. Sofyan, Perencanaan dan Pengendalian Produksi, Pertama. Yogyakarta: Graha Ilmu, 2013.
F. Ahmad, “Penentuan Metode Peramalan Pada Produksi Part New Granada Bowl ST Di PT. X,” J. Integr. Sist. Ind., vol. 7, no. 1, pp. 31–39, 2020.
F. Sutisna and Hendy, “Analisis Perbandingan Tingkat Kesalahan Metode Peramalan Sebagai Upaya Perencanaan Pengelolaan Persediaan yang Optimal pada PT Duta Indah Sejahtera,” J. Bina Manaj., vol. 8, no. 1, pp. 46–47, 2019.
G. N. Ayuni and D. Fitrianah, “Penerapan metode Regresi Linear untuk prediksi penjualan properti pada PT XYZ,” J. Telemat., vol. 14, no. 2, pp. 79–86, 2019, [Online]. Available: https://journal.ithb.ac.id/telematika/article/view/321.
L. Budiman and S. Sukirman, “Studi Penggunaan Batu Kapur Kalipucang sebagai Substitusi Sebagian Agregat Halus Beton Aspal Jenis AC-BC (Hal. 45-55),” RekaRacana J. Tek. Sipil, vol. 4, no. 1, p. 45, 2018, doi: 10.26760/rekaracana.v4i1.45.
M. B. Soeltanong and C. Sasongko, “Perencanaan Produksi dan Pengendalian Persediaan pada Perusahaan Manufaktur,” J. Ris. Akunt. Perpajak., vol. 8, no. 01, pp. 14–27, 2021, doi: 10.35838/jrap.2021.008.01.02.
S. Sudiman, “Rancang Ulang Sistem Produksi Dengan Pendekatan Just in Time Untuk Meningkatkan Efisiensi Di Lantai Produk,” JITMI (Jurnal Ilm. Tek. dan Manaj. …, vol. 3, no. 2, 2020, [Online]. Available: http://www.openjournal.unpam.ac.id/index.php/JITM/article/view/7938.

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Published

2023-10-26

How to Cite

Salsavira, N., & Yuliawati, E. (2023). Peramalan Supply Bahan Baku Menggunakan Metode Regresi Linier dan Exponential Smoothing . Nusantara of Engineering (NOE), 6(2), 183–189. https://doi.org/10.29407/noe.v6i2.20371

Issue

Vol. 6 No. 2 (2023): Volume 6 No 2 Tahun 2023

Section

Artikel

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