Implementasi Metode WMA, SMA, dan DES Dalam menentukan Jumlah Stok
DOI:
https://doi.org/10.51903/elkom.v15i2.743Keywords:
Forecast, WMA, SMA, DES, MSEAbstract
Pusattinta.com Store is engaged in selling printer ink. The problem faced is difficult to determine the amount of stock to meet customer needs and not cause accumulation of goods for a long time. With the above problems, a forecasting application was made using the Java programming language with the WMA, SMA, and DES methods. The WMA method is assigned a different weight for each available past historical data, SMA is a value smoothing forecasting method by taking a group of observed values and looking for the average, DES processes smoothing twice. Where each data is given a weight symbol. The magnitude of is 0 to 1. From the 3 methods, it is known that the average MSE of each method is WMA : 102,898.57, SMA : 89,579,446 and DES : 87,156,989. The method with the smallest MSE average is the most appropriate method to use.
References
[2] Anisya, A., & Wandyra, Y. Rekayasa Perangkat Lunak Pengendalian Inventori Menggunakan Metode Sma (Single Moving Average) Berbasis Ajax (Asynchronous Javascript And Xml)(Studi Kasus: Ptp Nusantara Vi (Persero) Unit Usaha Kayu Aro). Jurnal TeknoIf ISSN 2338-2724, 4(2). 2016.
[3] Gofur, A. A. Sistem Peramalan Untuk Pengadaan Material Unit Injection di PT. XYZ. Komputa: Jurnal Ilmiah Komputer dan Informatika, 2(2). 2015.
[4] Saputra, A. Pengembangan Sistem Pendukung Keputusan Peramalan Persediaan Barang Menggunakan Metode Weighted Moving Average. Seminar Nasional Teknologi Informasi, Bisnis, dan Desain. Palembang: STMIK/POLTEK PalcomTech. 2016.
[5] Raphella, S. A., Nathan, S. G., & Chitra, G. Inventory Management-A Case Study. International Journal of Emerging Research in Management &Technology ISSN, 2278- 9359. 2014.
[6] Nasution, A.H., dan Prasetyawan ,y. Perencanaan & Pengendalian Produksi. Edisi Pertama. Graha Ilmu, Yogyakarta. 2008.
[7] Hayuningtyas, Ratih Yulia. Laporan Akhir Penelitian Mandiri. Jakarta: STMIK Nusa Mandiri Jakarta. 2017.
[8] Margi, K., & Pendawa, S. Analisa Dan Penerapan Metode Single Exponential Smoothing Untuk Prediksi Penjualan Pada Periode Tertentu (Studi Kasus: Pt. Media Cemara Kreasi). Prosiding SNATIF, 2. 2015.
