Analysis of Hangtag Inventory Control Using the Forecasting and Min-Max Stock Methods at PT X
DOI:
https://doi.org/10.33197/jlscc.v5i1.3704Keywords:
Forecasting, Min-Max Stock, Inventory, StockoutAbstract
Hangtag inventory is an important component in the product packaging process at PT X. The problem faced by the company is the occurrence of hangtag stockouts due to the lack of accurate inventory planning, which hampers the product delivery process. This study aims to analyze hangtag demand patterns, determine the forecasting method with the best level of accuracy, and apply the Min-Max Stock method to optimize inventory control. The study uses a quantitative approach with historical data on hangtag demand for the period January 2024–March 2026 obtained through observation, interviews, documentation, and company data. The forecasting methods used include Single Moving Average (SMA), Single Exponential Smoothing (SES), and Weighted Moving Average (WMA). Forecasting accuracy is evaluated using MAD, MSE, and MAPE. The results show that the hangtag demand pattern is horizontal (stationary). The Weighted Moving Average (WMA) method for period 3 produces the smallest error rate with a MAPE value of 17.403%, so it is chosen as the basis for implementing the Min-Max Stock method. The calculation yielded a safety stock of 285.86 units, a minimum stock of 1,158 units, a maximum stock of 2,031 units, and a reorder point (ROP) of 873 units. Implementing this method can help companies optimize inventory control and minimize the risk of stockouts and overstocks.
References
Ahmad, F. (2020). Penentuan Metode Peramalan Pada Produksi Part New Granada Bowl ST di PT X. JISI: Jurnal Integrasi Sistem Industri, 7(1), 31–39. https://doi.org/10.24853/jisi.7.1.31-39
Arisandi, M. I., & Hamzah, M. (2025). Strategi Desain Kemasan dan Label Sebagai Upaya Peningkatan Daya Jual Produk. Journal of Innovative and Creativity (Joecy), 5(2), 13215–13220. https://doi.org/10.31004/joecy.v5i2.2054
Fachrurrazi, S. (2019). Peramalan Penjualan Obat menggunakan Metode Single Exponential Smoothing Pada Toko Obat Bintang Geurugok. TECHSI - Jurnal Teknik Informatika, 7(1), 19–30. https://doi.org/10.29103/techsi.v7i1.178
Gisty, G. (2025, December 1). Pertumbuhan Industri tekstil, Indonesia 2025. PT. CITRA CENDEKIA INDONESIA. https://cci-indonesia.com/pertumbuhan-industri-tekstil-indonesia-2025/
Heizer, J., & Render, B. (2022). Manajemen Operasi (Manajemen Keberlangsungan dan Rantai Pasokan (14th Edition). Salemba Empat.
Indrajit, R. E., & Djokopranoto, R. (2003). Manajemen persediaan. PT Grasindo. https://elibrary.bsi.ac.id/readbook/204251/manajemen-persediaan
Khairunnisa, A. S., & Prihadianto, B. D. (2023). Perhitungan Pengendalian Persediaan Fast Moving Spare Part Dengan Metode Min-Max Stock. Infotekmesin, 14(2), 384–389. https://doi.org/10.35970/infotekmesin.v14i2.1933
Octaviani, J. D., & Fitriani, R. (2022). Analisis Pengendalian Persedian Bahan Baku Menggunakan Metode Min-Max Stock Pada PT. XYZ. Jurnal Teknik Industri: Jurnal Hasil Penelitian Dan Karya Ilmiah Dalam Bidang Teknik Industri, 8(2), 231–235. https://doi.org/10.24014/jti.v8i2.19722
Tamtama, N. N., & Riantisari, R. (2024). Analisis Peramalan Permintaan Melalui Metode Moving Average, Weighted Moving Average dan Exponential Smoothing (Studi Kasus Pada Exist Auto Detailing). Primanomics : Jurnal Ekonomi & Bisnis, 22(1), 109–120. https://doi.org/10.31253/pe.v22i1.2685
Unsulangi, H. I., Jan, A. H., & Tumewu, F. J. (2019). Analisis Economic Order Quantity (EOQ) Pengendalian Persediaan Bahan Baku Kopi Pada PT. Fortuna Inti Alam. Jurnal EMBA : Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 7(1). https://doi.org/10.35794/emba.v7i1.22263
Yudaruddin, R. (2019). Forecasting untuk Kegiatan Ekonomi & Bisnis. RV Pustaka Horizon.
