Analisis Peramalan Permintaan Produk Indomie Di PT Indofood CBP Sukses Makmur TBK Divisi Noodle

Setiadi, Aprilianto (2019) Analisis Peramalan Permintaan Produk Indomie Di PT Indofood CBP Sukses Makmur TBK Divisi Noodle. Working Paper. Universitas Katolik Musi Charitas. (Submitted)

[img] Text (Cover)
KP-TI-2019-1612007-cover.pdf
Download (142kB)
[img] Text (Abstract)
KP-TI-2019-1612007-abstract.pdf
Download (245kB)
[img] Text (Tableofcontent)
KP-TI-2019-1612007-tableofcontent.pdf
Download (56kB)
[img] Text (Chapter1)
KP-TI-2019-1612007-chapter1.pdf
Download (216kB)
[img] Text (Chapter2)
KP-TI-2019-1612007-chapter2.pdf
Restricted to Registered users only
Download (383kB)
[img] Text (Chapter3)
KP-TI-2019-1612007-chapter3.pdf
Restricted to Registered users only
Download (79kB)
[img] Text (Chapter4)
KP-TI-2019-1612007-chapter4.pdf
Restricted to Registered users only
Download (161kB)
[img] Text (Chapter5)
KP-TI-2019-1612007-chapter5.pdf
Restricted to Registered users only
Download (907kB)
[img] Text (Conclusion)
KP-TI-2019-1612007-conclusion.pdf
Download (166kB)
[img] Text (Reference)
KP-TI-2019-1612007-reference.pdf
Download (49kB)
[img] Text (Attachment)
KP-TI-2019-1612007-attachment.pdf
Restricted to Registered users only
Download (1MB)
[img] Text (Complete)
KP-TI-2019-1612007-complete.pdf
Restricted to Repository staff only
Download (3MB)

Abstract

PT Indofood CBP Sukses Makmur Tbk Division Noodle, there are many kinds of instant noodle products produced by one of them is Indomie. Indomie products are divided into many types of indomie products. The process of producing Indomie products is seen from the number of requests received. Demand for period 1 was 3,828,200 packs. From the results of production it can be seen that the production does not meet the number of requests requested. Therefore, forecasting is needed to determine the best forecast for the production of industrial products in order to meet demand. With this forecasting using the Moving Average method, Weighted Moving Average, and Autoregressive Integrated Moving Average to see the comparison of Mean Square Error, Mean Absolute Deviation, Mean Forecast Error, and Mean Absolute Percentage Error the smallest. The Moving Average method is obtained with MAD results of 250.336 and MAPE of 8% which is the smallest of MA and ARIMA, the results of moving average forecasting for period 2 are 3887133 packs, period 3 are 3857800 packs, period 4 are 3734400 packs, period 5 3646800 and period 51 as many as 3045173 packs. Then forecasting with the Moving Average method that is used to plan the future production process.

Item Type: Monograph (Working Paper)
Additional Information: Kerja Praktik Lengkap dapat dibaca pada Komputer Katalog di Ruang Sirkulasi Perpustakaan UKMC Kampus Bangau.
Uncontrolled Keywords: Moving Average Method, MAD, MAPE, Demand Forecast.
Subjects: Q Science > Q Science (General)
Divisions: Report on Practical Work > Industrial Engineering Study Program
Depositing User: Perpustakaan Unika Musi Charitas
Date Deposited: 15 Jul 2019 02:05
Last Modified: 25 Sep 2020 01:29
URI: http://eprints.ukmc.ac.id/id/eprint/2884

Actions (login required)

View Item View Item
Musi Charitas Catholic University Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.