Analisis Penjualan Baju Seragam Sekolah di Konveksi Hanifah Collection

  • Ahmad Fazarudin Universitas Serang Raya
  • Ahmad Nalhadi Universitas Serang Raya
  • Gerry Anugrah Dwiputra Universitas Serang Raya
https://doi.org/10.30656/intech.v3i2.880
Abstract views: 624 , PDF downloads: 1093
Keywords: Exponential Smoothing, Moving Average, Triple Exponential Smoothing

Abstract

Hanifah Collection is a company engaged in the convection of school uniforms. The fluctuating number of requests each month creates its problems in determining the amount of production. This study aims to find a method that matches the data pattern as the basis for determining the amount of output in the next period. The technique used in this study is the forecasting method of Moving Average, Exponential Smoothing and Triple Exponential Smoothing with parameter level errors of each way using MAD, MSE, and MAPE. From the results of this study, there is a moving average method with the most appropriate method in determining demand forecasting in the next period with a value of MAD of 172.22, MSE of 46624.34 and MAPE 46624.34.

Downloads

Download data is not yet available.

References

Djie, I. S. J. (2013). Analisis Peramalan Penjualan dan Penggunaan Metode Linear Programming dan Decision Tree Guna Mengoptimalkan Keuntungan pada PT Primajaya Pantes Garment. The Winners, 14(2), 113–119.

Jana, P. (2016). Aplikasi Triple Exponential Smoothing Untuk Forecasting Jumlah Penduduk Miskin. Jurnal Derivat, 3(2), 76–81.

Makridakis, S., Wheelwright, S. C., & McGee, V. E. (1999). Metode dan aplikasi peramalan. Jakarta: Erlangga.

Marsetiani, M. (2014). Model Optimasi Penentuan Kombinasi Produk Menggunakan Metode Linear Programming pada Perusahaan Bidang Fashion. The Winners, 15(1), 1–7.

Muqtadiroh, F. A., Syofiani, A. R., & Ramadhani, T. S. (2015). Analisis Peramalan Penjualan Semen Non-Curah (ZAK) PT Semen Indonesia (Persero) Tbk Pada Area Jawa Timur. In Seminar Nasional Teknologi Informasi dan Komunikasi (pp. 308–310).

Nasution, A. H. (2006). Manajemen industri. Yogyakarta: Penerbit Andi.

Render, B., & Heizer, J. (2005). Manajemen Operasi. Jakarta: Salemba Empat.

Sanny, L., & Sarjono, H. (2013). Peramalan Jumlah Siswa/I Sekolah Menengah Atas Swasta Menggunakan Enam Metode Forecasting. In Forum Ilmiah (Vol. 10, pp. 198–208).

Supriyadi, S., & Riskiyadi, R. (2016). Penjadwalan Produksi IKS-Filler Pada Proses Ground Calcium Carbonate Menggunakan Metode MPS Di Perusahaan Kertas. Jurnal Ilmiah SINERGI, 20(2), 157–164.

Wibowo, I. (2010). Analisis Peramalan Penjualan Rokok Golden Pada PT. Djitoe Indonesian Tobacco Coy Surakarta, Skripsi, Universitas Sebelas Maret.

PlumX Metrics

Published
2017-12-28
How to Cite
Fazarudin, A., Nalhadi, A., & Dwiputra, G. A. (2017). Analisis Penjualan Baju Seragam Sekolah di Konveksi Hanifah Collection. Jurnal INTECH Teknik Industri Universitas Serang Raya, 3(2), 61-66. https://doi.org/10.30656/intech.v3i2.880
Issue
Vol. 3 No. 2 (2017)
Section
Articles