Preprint has been submitted for publication in journal
Preprint / Version 1

Masonry Concrete Sales Forecasting Using ARIMA and SARIMA Methods for Production Planning


Peramalan Penjualan Beton Masonry Menggunakan Metode ARIMA Dan SARIMA Untuk Perencanaan Produksi

##article.authors##

DOI:

https://doi.org/10.21070/ups.4383

Keywords:

Forecasting, Arima, Sarima, Productions Planning

Abstract

PT. Varia Usaha Beton which produces various kinds of concrete products such as ready-mix concrete, precast concrete, masonry concrete, crushed stone, construction services and equipment rental services. . Demand continues to fluctuate, thus affecting the readiness and availability of product stock, so it is necessary to make forecasts. So, what are the results of forecasting sales of masonry concrete products if the ARIMA method is used. And what is the accuracy of the forecasting results from the ARIMA method. Will it produce a lower error value compared to other methods such as SARIMA. The purpose of this research is to predict the number of sales requests for masonry concrete to anticipate fluctuating product demand, obtain information regarding the number of sales that need to be provided in the following year from two forecasting methods, determine the accuracy of forecasting results from both methods, including ARIMA and SARIMA.

Downloads

Download data is not yet available.

References

Suseno and S. Wibowo, “Penerapan Metode ARIMA dan SARIMA Pada Peralaman Penjualan Telur Ayam Pada PT Agromix Lestari Group,” JTMIT, vol. 2, no. 1, pp. 33–40, 2023.

dona ayu Rezaldi and Sugiman, “Peramalan Metode ARIMA Data Saham PT . Telekomunikasi Indonesia,” PRISMA, vol. 4, no. 1, pp. 611–620, 2021.

T. Baroto, PERENCANAAN DAN PENGENDAIAN PRODUKSI. 2002.

Sulistyono and W. Sulistiyowati, “Peramalan Produksi dengan Metode Regresi Linier Berganda,” Prozima, vol. 1, no. 2, pp. 82–89, 2017, doi: 10.21070/prozima.v1i2.1350.

R. Awaluddin, R. Fauzi, and D. Harjadi, “GUNA MENGOPTIMALKAN PENJUALAN ( Studi Kasus Pada Konveksi Astaprint Kabupaten Majalengka ) Dengan Arti :,” Bisnisman, vol. 3, no. 1, pp. 12–18, 2021.

N. Hudaningsih, S. F. Utami, and W. A. A. Jabbar, “PERBANDINGAN PERAMALAN PENJUALAN PRODUK AKNIL PT . SUNTHI SEPURIMENGGUANAKAN METODE SINGLE MOVING AVERAGE DAN SINGLE EXPONENTIAL SMOOTING,” JINTEKS, vol. 2, no. 1, pp. 15–22, 2020.

S. Nurlela, A. Fanani, and Hani Khaulasari, “Harga Minyak Mentah WTI Menggunakan Metode Fuzzy Time Series Markov Chain,” J. Fourier, vol. 12, no. 1, pp. 10–19, 2023, doi: 10.14421/fourier.2023.121.10-19.

R. K. Singh et al., “Prediction of the COVID-19 pandemic for the top 15 affected countries: Advanced autoregressive integrated moving average (ARIMA) model,” JMIR Public Heal. Surveill., vol. 6, no. 2, pp. 1–10, 2020, doi: 10.2196/19115.

A. P. Wibawa, A. Qonita, F. A. Dwiyanto, and Haviluddin, “Perbandingan Metode Prediksi pada Bidang Bisnis dan Keuangan,” Pros. Semin. Ilmu Komput. dan Teknol. Inf., vol. 3, no. 1, pp. 129–133, 2018.

A. R. Wahyuningtyas, W. P. Pratiwi, and T. W. Utami, “Jurnal Litbang Edusaintech (JLE),” J. Litbang …, vol. 3, no. 1, pp. 135–140, 2021, [Online]. Available: http://cbt2olympicad6.unimus.ac.id/index.php/jle/article/download/55/57

K. Nurfadila and Ilham Aksan, “Aplikasi Metode Arima Box-Jenkins Untuk Meramalkan Penggunaan Harian Data Seluler,” J. Math. Theory Appl., vol. 2, no. 1, pp. 5–10, 2020, doi: 10.31605/jomta.v2i1.749.

M. Buchori and T. Sukmono, “Peramalan Produksi Menggunakan Metode Autoregressive Integrated Moving Average,” Prozima, vol. 2, no. 1, pp. 27–33, 2018.

Y. S. Siregar, M. Darwis, R. Baroroh, and W. Andriyani, “Peningkatan Minat Belajar Peserta Didik dengan Menggunakan Media Pembelajaran yang Menarik pada Masa Pandemi Covid 19 di SD Swasta HKBP 1 Padang Sidempuan,” J. Ilm. Kampus Mengajar, vol. 2, no. 1, pp. 69–75, 2022, doi: 10.56972/jikm.v2i1.33.

C. Cunaya and C. Apriyansyah, “Analisis Perkembangan Sosial Emosional Anak Usia 5-6 Tahun Melalui Asesment Wawancara di TK Cahaya Bintang,” J. Cemerlang PAUD, vol. 1, no. 1, pp. 1–9, 2022, [Online]. Available: https://cemerlang-paud-pancasakti.ac.id/index.php/cemerlang/article/view/1/1

F. Apriliza, A. Oktavyani, and D. Al Kaazhim, “Perbandingan Metode Linear Regression dan Exponential Smoothing Dalam Peramalan Penerimaan Mahasiswa Baru,” JURIKOM, vol. 9, no. 3, pp. 726–732, 2022, doi: 10.30865/jurikom.v9i3.4300.

S. Nurman, M. Nusrang, and Sudarmin, “Analysis of Rice Production Forecast in Maros District Using the Box-Jenkins Method with the ARIMA Model,” JMAS, vol. 2, no. 1, pp. 36–48, 2022.

M. S. Pradana, D. Rahmalia, and E. D. A. Prahastini, “Peramalan Nilai Tukar Petani Kabupaten Lamongan dengan Arima,” J. Mat., vol. 10, no. 2, pp. 91–104, 2020, doi: 10.24843/JMAT.2020.v10.i02.p126.

I. Tahyudin, R. Wahyudi, and H. Nambo, “SARIMA-LSTM COMBINATION FOR COVID-19,” IIUM Eng. J., vol. 23, no. 2, pp. 171–182, 2022.

Posted

2024-04-01