MONEJAVELIN SARAY 01 Kategori 4 periode:

L2-36

c. MONEJAVELIN

40.000 80.000 120.000 160.000 200.000 240.000 280.000 1 2 3 4 D e m a nd Periode MONEJAVELIN Demand Rata-rata Gambar L2.11 Data Permintaan Produk MONEJAVELIN  Double Moving Average DMA Tabel L2.44 Perhitungan Double Moving Average M=2 Produk MONEJAVELIN Permintaan MA 2 MA 2x2 Ramalan Permintaan dt dt St St Nilai Ft+m = at+btm 1 273.977 2 29.850 151.913,143 3 14.924,800 83.418,971 -53.569,371 -136.988,343 0,000 4 0,000 7.462,400 -7.462,400 -14.924,800 -190.557,714 -190.558 5 -22.387,200 -22.388 6 -37.312,000 -37.312 7 -52.236,800 -52.237 8 -67.161,600 -67.162 Nilai at Nilai bt Periode t Pembulatan dt L2-37  Regression Analysis Pola Siklis Tabel L2.45 Hasil Peramalan Regression Analysis Pola Siklis Produk MONEJAVELIN t dt sin90t cos90t dt Pembulatan dt 1 273.977 1,000 0,000 121.619,352 121.620 2 29.850 0,000 -1,000 90.881,371 90.882 3 -1,000 0,000 30.293,790 30.294 4 0,000 1,000 61.031,771 61.032 5 1,000 0,000 121.619,352 121.620 6 0,000 -1,000 90.881,371 90.882 7 -1,000 0,000 30.293,790 30.294 8 0,000 1,000 61.031,771 61.032 N = 4 periodesiklus Tabel L2.46 Mean Absolute Error MAEMean Absolute Deviation MAD Produk MONEJAVELIN dt |dt-dt| dt |dt-dt| 1 273.977 121.620 152.357 2 29.850 90.882 61.032 3 30.294 30.294 4 -190.558 190.558 61.032 61.032 5 -22.388 121.620 6 -37.312 90.882 7 -52.237 30.294 8 -67.162 61.032 MAE 190.558,000 76.178,771 t dt DMA M=2 Pola Siklis Metode Berdasarkan metode ukuran kesalahan peramalanerror MAE, hasil peramalan untuk produk MONEJAVELIN menggunakan metode peramalan pola siklis karena memiliki nilai error yang terkecil, yaitu 76.178,771. L2-38

d. SARAY 01

Gambar L3.12 Data Permintaan Produk SARAY 01  Double Moving Average DMA Tabel L2.47 Perhitungan Double Moving Average M=2 Produk SARAY 01 Permintaan MA 2 MA 2x2 Ramalan Permintaan dt dt St St Nilai Ft+m = at+btm 1 2 63.360 31.680,000 3 88.000 75.680,000 53.680,000 97.680,000 44.000,000 0,000 4 44.000,000 59.840,000 28.160,000 -31.680,000 141.680,000 141.680 5 -3.520,000 -3.520 6 -35.200,000 -35.200 7 -66.880,000 -66.880 8 -98.560,000 -98.560 Nilai at Nilai bt Periode t Pembulatan dt 20,000 40,000 60,000 80,000 100,000 1 2 3 4 D e ma n d Periode SARAI 01 Demand Rata-rata L2-39  Regression Analysis Pola Siklis Tabel L2.48 Hasil Peramalan Regression Analysis Pola Siklis Produk SARAY 01 t dt sin90t cos90t dt Pembulatan dt 1 1,000 0,000 23.173,333 23.174 2 63.360 0,000 -1,000 69.520,000 69.520 3 88.000 -1,000 0,000 52.506,667 52.507 4 0,000 1,000 6.160,000 6.160 5 1,000 0,000 23.173,333 23.174 6 0,000 -1,000 69.520,000 69.520 7 -1,000 0,000 52.506,667 52.507 8 0,000 1,000 6.160,000 6.160 N = 4 periodesiklus Tabel L2.49 Mean Absolute Error MAEMean Absolute Deviation MAD Produk SARAY 01 dt |dt-dt| dt |dt-dt| 1 23.174 23.174 2 63.360 69.520 6.160 3 88.000 52.507 35.493 4 141.680 141.680 6.160 6.160 5 -3.520 23.174 6 -35.200 69.520 7 -66.880 52.507 8 -98.560 6.160 MAE 141.680,000 17.746,750 t dt DMA M=2 Pola Siklis Metode Berdasarkan metode ukuran kesalahan peramalanerror MAE, hasil peramalan untuk produk SARAY 01 menggunakan metode peramalan pola siklis karena memiliki nilai error yang terkecil, yaitu 17.746,750. L2-40

e. VALENTINO 24