Elisa Yolanda Siahaan, . (2021) PERAMALAN DAN PENGENDALIAN PERSEDIAAN PRODUK SLIMMING HONEY DENGAN METODE JARINGAN SARAF TIRUAN BACKPROPAGATION DAN LOT SIZING DINAMIS. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
Abstrak.pdf Download (11kB) |
|
Text
Awal.pdf Download (1MB) |
|
Text
Bab 1.pdf Download (322kB) |
|
Text
Bab 2.pdf Restricted to Repository UPNVJ Only Download (496kB) |
|
Text
Bab 3.pdf Restricted to Repository staff only Download (146kB) |
|
Text
Bab 4.pdf Restricted to Repository UPNVJ Only Download (2MB) |
|
Text
Bab 5.pdf Download (1MB) |
|
Text
Daftar Pustaka.pdf Download (333kB) |
|
Text
Daftar Riwayat Hidup.pdf Restricted to Repository UPNVJ Only Download (93kB) |
|
Text
Lampiran.pdf Download (410kB) |
|
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (1MB) |
Abstract
PT. SRA is a direct selling company that sells natural products that in its sales have problems of shortage or oversupply plus limited warehouse capacity owned. The study aims to control inventory using the lot sizing silver meal method and wagner within to maximize the use of slimming honey inventory costs. The processing begins by predicting the need for slimming honey in January-April 2021 using artificial neural network (JST) method with Matlab software and algorithm used is backpropagation. In search of the best architecture obtained is to use 55 variables on the input layer, 1 hidden layer with 15 neurons and 1 output layer. The network has the smallest MSE value of 0.0001 with a regeression value of 0.9946. The forecast result per period (6 days) during January-April 2021 is 139 , 104, 70, 72, 76, 81, 144, 199, 151, 165, 867, 840, 681, 761, 470, 185, 136, 501, 112 and 498 bottles. Then the calculation of safety stock to avoid overstocking and obtained the results of 167 bottles per day. Furthermore, a comparison between the calculation of lot sizing silver meal method with wagner within and obtained wagner within as the most optimal inventory control method with an economical inventory cost of Rp 3,768,883 with 13 orders.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.panggil: 1710312049] [Pembimbing: Siti Rohana Nasution] [Penguji 1; Halim Mahfud] [Penguji 2: Donny Montreano] |
| Uncontrolled Keywords: | Artificial Neural Networks, Backpropagation, Inventory Control, Silver meal Algorithm, Wagner within Algorithm |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HG Finance L Education > LB Theory and practice of education |
| Divisions: | Fakultas Teknik > Program Studi Teknik Industri (S1) |
| Depositing User: | Elisa Yolanda Siahaan |
| Date Deposited: | 22 Sep 2021 04:26 |
| Last Modified: | 26 Oct 2021 06:33 |
| URI: | http://repository.upnvj.ac.id/id/eprint/11439 |
Actions (login required)
 |
View Item |