TREND SEMI AVERAGE AND LEAST SQUARE IN FORECASTING YAMAHA MOTORCYCLE SALES

  • Ines Saraswati Machfiroh Accountancy Study Program Politeknik Negeri Tanah Laut
  • Widiya Astuti Alam Sur Accountancy Study Program Politeknik Negeri Tanah Laut
  • Robby Tri Pangestu Accountancy Study Program Politeknik Negeri Tanah Laut
DOI: https://doi.org/10.30598/barekengvol16iss1pp341-352
Keywords: Semi Average, Least Square, MAPE

Abstract

This study compared the Semi Average and Least Square methods to determine the sales trend of Yamaha motorcycles in obtaining the best method for predicting motorcycle sales at CV Surya Prima Pelaihari. Mean Absolute Percentage Error (MAPE) was used to determine the accuracy of the Semi Average and Least Square methods in predicting the sales of CV Surya Prima Pelaihari motorbikes. Semi Average method was based on the MAPE value of 43.96%. The Least Square method has a MAPE value of 31.89%. The comparison of MAPE values shows that the Least Square method provides better predicting results because of the lower MAPE value. Therefore, the Least Square method was used to predict sales at CV Surya Prima Pelaihari. A more accurate output can be obtained than the Semi Average method.

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References

A. Iswoyo, “Penerapan Sistem Akuntansi Penjualan Motor Dan Pengaruhnya Terhadap Penerimaan Kas Pada Cv . Ramayana Putra Motor Gresik,” [“Application of Motorcycle Sales Accounting System and Its Effect on Cash Receipts in Cv Ramayana Putra Motor Gresik,”] J. NeO-Bis, vol. 7, no. 2, pp. 103–118, 2013.

E. Al Wildhy and M. Andirfa, “Pengaruh Biaya Promosi Terhadap Volume Penjualan Pada Pt. Ima Montaz Sejahtera Lhokseumawe,” [“The Effect of Promotional Costs on Sales Volume at Pt. Ima Montaz Sejahtera Lhokseumawe,”] J. Akunt. and Developer., vol. 4, no. 1, pp. 11–18, 2018.

DP Pamungkas, “Implementasi Metode Least Square Untuk Prediksi Penjualan Tahu Pong,” [“Implementation of the Least Square Method for Predicting Sales of Tofu Pong,”] J. Ilm. NERO, vol. 2, no. 2, pp. 75–81, 2016.

A. Venno and Syamsudin, “Analisis Trend Kinerja Keuangan Perbankan Syariah Tahun 2015 Sampai Dengan 2017,” [“Trend Analysis of Islamic Banking Financial Performance from 2015 to 2017,”] J. Bisnis and Manaj. Islam, vol. 4, no. 1, pp. 21–34, 2016.

RB Septiawan and EZ Astuti, “COMPARATIVE HALF AVERAGE AND LIGHTEST SQUARE METHOD FOR FORECASTING COMPANY INCOME IN BLU UPTD TERMINAL MANGANG SEMARANG,” Techno.COM, vol. 15, no. 2, pp. 132–139, 2016.

M. Ruslan, “Prediksi Jumlah Penduduk Provinsi Kalimantan Selatan Menggunakan Metode Semi Average,” [“Population Prediction of South Kalimantan Province Using the Semi Average Method,”] IJSE – Indonesia. J. Softw. eng., vol. 2, no. 1, pp. 2461–690, 2016.

T. Waluyo, A. Hermawan, and AP Wibowo, “PREDIKSI PENJUALAN SEPEDA MOTOR HONDA MENGGUNAKAN JARINGAN Abstraksi Pendahuluan Tinjauan Pustaka Penelitian terdahulu Metode Penelitian Jaringan Syaraf Tiruan,”[ “PREDICTION OF HONDA MOTORCYCLE SALES USING NETWORKS Introduction Abstraction Review of Previous Research Research Methods Artificial Neural Networks,”] Joism J. Inf. syst. Manag., vol. 1, no. 1, pp. 31–35, 2019.

RA WALANGADI and IS Kumala, “Prediksi Penjualan Motor Dengan Menggunakan Metode Least Square,”[ “Motorcycle Sales Prediction Using the Least Square Method,”] J. Nas. cosPhi, vol. 3, no. 2, pp. 42–45, 2019.

IGAPI Sidhiantari, “Analisis Perancangan Aplikasi Peramalan Barang Dadang Sederhana dengan Metode Semi Average Method,” [“Analysis of Simple Dadang Goods Forecasting Application Design using Semi Average Method,”] J. Tek. Electrical and Computing., vol. 9, no. 3, pp. 205–212, 2020.

MA Maricar, “Analisa Perbandingan Nilai Akurasi Moving Average Dan Exponential Smoothing Untuk Sistem Peramalan Pendapatan Pada Perusahaan XYZ,” [“Comparative Analysis of Moving Average Accuracy and Exponential Smoothing Values for Income Forecasting Systems at Company XYZ,”] J. Sist. and Information., vol. 13, no. 2, pp. 36–45, 2019.

Sudaryono, Metodologi Penelitian [Research Methodology]. Depok: PT RAJAGRAFINDO PERSADA, 2018.

G. Deodata, “Analisis Peramalan ( Forecasting ) Pendapatan Hotel Merbau Menggunakan Metode Semi Avarage Dan Metode Least Square,” [“Forecasting Analysis of Merbau Hotel Revenue Using the Semi Avarage Method and the Least Square Method,”] J. Din., vol. 2, no. 12, pp. 53–58, 2018.

Mardewi, S. Syarif, and Agussalim, “IMPLEMENTATION OF ESTIMATION OF CLOVE SEED EARNINGS USING TREND MOMENT AND SEMI METHODS,” J. IT, vol. 10, no. 1, pp. 37–45, 2019.

Suharyadi, Statistika untuk Ekonomi dan Keuangan Modern. [Statistics for Modern Economics and Finance]. Jakarta, 2015.

TW Epps, Quantitative Finance Its Development, Mathematical Foundations and Current Scope. United States of America: John Wiley & Sons, 2009.

Published
2022-03-21
How to Cite
[1]
I. Machfiroh, W. Alam Sur, and R. Pangestu, “TREND SEMI AVERAGE AND LEAST SQUARE IN FORECASTING YAMAHA MOTORCYCLE SALES”, BAREKENG: J. Math. & App., vol. 16, no. 1, pp. 343-354, Mar. 2022.
Issue
Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

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