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Rosalendro Eddy Nugroho
Maryana Resodiharjo


This research aims to analyze inventory management by optimizing the forecasting method at PT XYZ Indonesia. The research approach that  used was descriptive research with the aim of explaining and describing the object of research by qualitative and quantitative data. Qualitative data defined a description from the activities of a company which was carried out by managing inventory. Quantitative data in form of sales data, inventory data, quantity data of the arrival of goods in the company. The research was conducted in the Storage System department using data for 30 months from January 2014 to June 2016. From the ABC analysis data conducted by the company, A category was taken as many as 10 items (stock keeping units). The results of research using the three types of forecasting methods, it is known that on the article level the smallest MAD value was for D product with linear regression forecasting method. The smallest MAPE value was for C product with simple moving average forecasting method. On the level of aggregate products, the smallest MAD and MAPE values were exponential smoothing forecasting, thus the exponential smoothing forecasting method is a method to predicts the smallest and most accurate aggregate for product deviation.

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Eddy Nugroho, R., & Resodiharjo, M. (2021). INVENTORY MANAGEMENT ANALYSIS BY OPTIMIZING THE FORCASTING METHODS (CASE STUDY AT PT XYZ INDONESIA). Dinasti International Journal of Management Science, 2(3), 435-455.


Arwani R, Ahmad. 2011. Highly Effective Inventory Management. PPM Manajemen. Jakarta.
Bower, Patrick. (2013). Forecasting New Product in Consumer Goods. Journal of Business Forecasting, Winter 2012-2013.
Chopra, Sunil dan Peter Meindl. (2016). Supply chain management. Strategy, Planning & Operation. Sixth Edition. Pearson Education Limited. England.
Heriansyah, E. dan Sarwani Hasibuan. (2018). Implementasi Metode Peramalan Pada Permintaan Bracket Side Stand K59A. Jurnal PASTI Volume XII No.2.
Iksan, N., Yogi P. Putra dan Erika D. Udayanti. (2018). Regresi Linier Untuk Prediksi Permintaan Sparepart Sepeda Motor. Information Technology Engineering Journals Vol. 03(02).
Jacobs, F. Robert & Richard B. Chase (2016). Manajemen Operasi dan Rantai Pasokan. Operations and Supply Chain Management. Edisi 14. Salemba Empat- McGraw-Hill Education. Jakarta.
Kartika, Luh G. S., Ratna K. W. dan Melati P. W. (2014). Komparasi Metode Multiple Regression dan Regresi Sederhana Untuk Peramalan Volume Penjualan. Eksplora Informatika Vol. 4(1).
Krajcovic, M., & Plinta, D. (2012). Comprehensive approach to the inventory control system improvement. Management and Production Engineering Review,3(3), 34-44.
Maricar, M. Azmar. (2019). Analisa Perbandingan Nilai Akurasi Moving Average dan Exponential Smoothing untuk Sistem Peramalan Pendapatan pada Perusahaan XYZ. Jurnal Sistem dan Informatika Vol.13(2).
Martono, R. (2015). Manajemen Logistik Terintegrasi. PPM Manajemen, Jakarta.
Mekel, C., Samuel P.D. Anantadjaya, dan Laura Lahindah, (2014). Stock Out Analysis: An Empirical Study on Forecasting, Re-Order Point and Safety Stock Level at PT Combiphar, Indonesia. Review of Integrative Business & Economics Research Vol 3(1)
Muller, Max. (2011). Essentials of Inventory Management. Second Edition. AMACOM American Management Association. USA.
Piasecki, David J. (2009). Inventory Management Explained: A focus on Forecasting. Lot Sizing, Safety Stock, and Ordering Systems. OPS Publishing. USA.
Prasetyo, Danny. (2017). “Analisis Peramalan Penjualan Produk Tinplate pada PT Latinusa Tbk”. Tesis. Program Magister Manajemen. Program Pascasarjana. Universitas Mercu Buana. Jakarta.
Simatupang, Agustina. (2011). “Analisis Perencanaan dan Pengendalian Obat Dalam Daftar Obat Standar(DOS) di Instalasi Farmasi Rumah Sakit Ibu dan Anak Hermina Bekasi”. Tesis. Magister Administrasi Rumah Sakit, Universitas Indonesia. Depok.
Willems, S. P. (2011). How Inventory Optimization Opens Pathways to. Supply Chain Management Review.
Workman, J., & Scheidler, N. (2009). Safety stock: Everybody wants to use, nobody wants to own. The Journal of Business Forecasting, 28(3), 4.
Yanti, Ni Putu. L. P., I.A. Mahatma Tuningrat, dan A.A.P. A. Suryana Wiranatha. (2016). Analisis Peramalan Penjualan Produk Kecap Pada Perusahaan Kecap Manalagi Denpasar Bali. Jurnal Rekayasa dan Manajemen Agroindustri, Volume 4 (1).