Peramalan Penjualan Produk Teralis Besi Menggunakan Metode ARIMA: Studi Kasus Bengkel Las Bale Karya Sales Forecasting of Iron Grills Using ARIMA Method: A Case Study of Bale Karya Welding Workshop
Article Sidebar
Page Numbers:
464-471
Digital Object Identifier:
10.58578/arzusin.v4i3.2965
Viewed : 114 times
Downloaded : 61 times
Please do not hesitate to contact us if you would like to obtain more information about the submission process or if you have further questions.
Authors:
Indra Purnama1, M. Shane Waafi2, Rikho Ardiyan Dwicahyo3, Ari Zaqi Al-Faritsy4 
Copyright :
Authors retain copyright and grant the journal right of first publication.
Main Article Content
Abstract
Bengkel Las Bale Karya is one of the small and medium-sized enterprises (SMEs) that produces various types of iron crafts such as seesaws, swings, staircase railings, balcony railings, spiral staircases, iron doors, grilles, fence doors, and others. This research focuses on the production of iron grille products. The research method employed in this study is the ARIMA method for forecasting over the next 12 periods. The results of this study aim to optimize iron grille production to prevent product stockpiling, ensure material availability, and enhance workplace safety.
Downloads
Article Details
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
Anggraeni, K. (2011). Peramalan Volume Penjualan Mipcinta 50 WP di PT. Petrokimia Kayaku Gresik. Surabaya : Institut Teknologi Sepuluh Nopember
Arif. (2010). Penerapan metode ARIMA dalam memprediksi temperatur udara. Retrieved November 12, 2011, from http://arifzenki.wordpress.com/2008 /08/29/penerapan-metode-arima-dalam memprediksi-temperature-udara.
Bowerman, B. L., & O’Connell, R. T. (1993). Forecasting and Time Series. California : Duxbury Press. Cryer, J. D., & Chan, K. (2008). Time Series Analysis With Application in R Second Edition. New York: Springer Science Bussines Media.
Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (2015). Time Series Analysis: Forecasting and Control. John Wiley & Sons.
Chatfield, C. (2019). The Analysis of Time Series: An Introduction. Chapman and Hall/CRC.
Enders, W. (2014). Applied Econometric Time Series. John Wiley & Sons.
Hanke, J.E. & Wichern D.W. (2009). Business Forcasting (9th edition). New Jersey: Pearson Prentice-Hall, Inc.
Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: Principles and Practice. OTexts.
Makridakis, S., & Wheelwright, S. C. (2018). Forecasting: Methods and Applications. John Wiley & Sons.
Reksohadiprodjo, R. (1995). Business Forecasting. Yogyakarta: Edisi Keempat, Penerbit BPFE-Yogyakarta. Sumayang, L. 2003). Dasar-Dasar Manajemen Produksi dan Operasi. Jakarta: Salemba Empat.
Supranto, J. M A . (2000). Metode Peramalan Kuantitatif Untuk Perencanaan Ekonomi dan Bisnis. Jakarta: Cetakan Kedua, Penerbit Rineka Cipta.