ANALISIS PERAMALAN PERMINTAAN PRODUKSI SEPATU DI PT. XYZ DENGAN METODE STRAIGHT LINE

Main Article Content

Resti Waliyani
Tresa Alicia
Tiaradia Ihsan

Abstract

The footwear sector in Indonesia, being an essential part of the economy, encounters challenges like demand fluctuations, evolving fashion trends, and fierce competition. XYZ, a shoe manufacturer based in Cibaduyut, Bandung, emphasizes quality and innovation, crafting approximately 50,000 pairs of footwear each month. The manufacturing process involves cutting, stitching, assembling, and finishing, necessitating specialized expertise. The organization is dedicated to adopting contemporary and sustainable technologies, such as waste management and utilizing environmentally friendly materials. Precise production planning is essential to guarantee that product availability meets market demand, helping to prevent the dangers of excessive inventory or shortages. The straight-line approach, while uncomplicated, is useful for predicting production patterns using past data. This research examines the use of this technique in predicting shoe production at a firm, with the goal of obtaining a precise insight into the necessary production quantity for the future. The findings of this study are anticipated to aid management in decision-making related to production capacity, inventory control, and cost-effectiveness, allowing the company to adapt to market needs and reduce risks and losses linked to production.

Article Details

How to Cite
Waliyani, R., Alicia, T., & Ihsan, T. (2025). ANALISIS PERAMALAN PERMINTAAN PRODUKSI SEPATU DI PT. XYZ DENGAN METODE STRAIGHT LINE. Kohesi: Jurnal Sains Dan Teknologi, 6(10), 91–100. https://doi.org/10.3785/kohesi.v6i10.10522
Section
Articles

References

Baidowi, M. I., & Buniarto, E. A. (2020). ANALISIS RAMALAN PENJUALAN MENGGUNAKAN METODE TIME SERIES DALAM MENENTUKAN JUMLAH PRODUKSI M . Imam Baidowi Edwin Agus Buniarto Abstrak. Jurnal Ekononomi Manajemen, 1(1), 33–41.

Fajarita, L., & Hati, E. N. (2018). Penerapan Forecasting Stright Line Method Dalam Pengadaan Stok Barang Mendatang. Prosiding SINTAK 2018, 310–317.

Ferdian, R., Anwar, A., Ihsan, T., Studi, P., Industri, T., Teknik, F., & Bandung, U. W. (2023). IMPLEMENTASI PERAMALAN PRODUKSI DI PT X DENGAN dengan dilakukannya peramalan . Peramalan merupakan proses memperkirakan kebutuhan Tabel 1 Klasifikasi Metode Peramalan Metode Pola Data Horizon Waktu Nonseasonal Pendek ke S-Curve - Trend Semua data Menengah. 4(3), 1680–1687.

Ihsan, T., & Astari, A. N. (2023). Peramalan Persediaan Obat Flu Dan Batuk Merek Snf Untuk Tahun 2024 Di Gudang Pt Bcd Menggunakan Metode Dekomposisi. Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika Dan Statistika, 4(3), 1719–1726. https://doi.org/10.46306/lb.v4i3.511

Mulyani, S., Hayati, D., & Sari, A. N. (2021). Analisis Metode Peramalan (Forecasting) Penjualan Sepeda Motor Honda Dalam Menyusun Anggara Penjualan Pada PT Trio Motor Martadinata Banjarmasin. Jurnal Ekonomi Dan Bisnis, 14(1), 178–189.

Sianturi, G., Henny, H., Sumaryatno, D. A., & Hakim, D. A. (2023). Pengembangan Kualitas Produk dan Strategi Pemasaran Bagi UMKM Sepatu Di Kota Bandung. Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming, 6(3), 778–784. https://doi.org/10.30591/japhb.v6i3.4577