Zain, Fikri Akmal (2025) ANALISIS PERAMALAN PRODUKSI DI PERUSAHAAN CV. PEDULI PANGAN INDONESIA. Undergraduate thesis, UPN Veteran Jawa Timur.
Text (Cover)
20012010311.-Cover.pdf Download (821kB) |
|
Text (Bab I)
20012010311.- Bab I.pdf Download (206kB) |
|
Text (Bab II)
20012010311.- Bab II.pdf Restricted to Repository staff only until 16 January 2027. Download (209kB) |
|
Text (Bab III)
20012010311.- Bab III.pdf Restricted to Repository staff only until 16 January 2027. Download (110kB) |
|
Text (Bab IV)
20012010311.- Bab IV.pdf Restricted to Repository staff only until 16 January 2027. Download (1MB) |
|
Text (Bab V)
20012010311.- Bab V.pdf Download (79kB) |
|
Text (Daftar Pustaka)
20012010311.- Daftar Pustaka.pdf Download (134kB) |
|
Text (Lampiran)
20012010311,- Lampiran.pdf Restricted to Repository staff only Download (17kB) |
Abstract
With the development of the food industry and the high demand for pepper sachets, a great opportunity is open for CV. Peduli Pangan to fulfil the market needs. To meet this demand, proper production forecasting is needed to support decision making in the production process. Production forecasting is a decision-making process that is fundamental in many manufacturing and service industries. The purpose of this study is to forecast the amount of sachet pepper production in the next 12 periods in order to determine the optimal amount of production. Regression analysis was used in this study to determine the most suitable model based on the data obtained, as well as investigate the relationship between several variables that affect production. The results of the regression equation obtained show that the variables that affect the amount of production are the price of raw materials (HBB), failed products (PG), and labour (TK). The constant value of 11,147.126 indicates that if there is no influence from the variables of raw material prices, failed products, and labour, the initial production amount is 11,147.126. Assuming that other variables are ignored, if the variable price of raw materials (X1_HBB) is negative -0.15 and failed products (X2_PG) is negative -0.755, then production will decrease. Conversely, if the labour variable (X3_TK) is positive by 34.781, production will increase. This forecasting model is expected to help CV. Peduli Pangan in making decisions for more efficient and accurate production.
Item Type: | Thesis (Undergraduate) | ||||||||
---|---|---|---|---|---|---|---|---|---|
Contributors: |
|
||||||||
Subjects: | H Social Sciences > HB Economic Theory H Social Sciences > HC Economics H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HD Industries. Land use. Labor > HD30.27 Business Forecasting H Social Sciences > HD Industries. Land use. Labor > HD30.28 Strategic Planning |
||||||||
Divisions: | Faculty of Economic > Departement of Management | ||||||||
Depositing User: | Fikri Akaml zain | ||||||||
Date Deposited: | 16 Jan 2025 07:56 | ||||||||
Last Modified: | 16 Jan 2025 07:56 | ||||||||
URI: | https://repository.upnjatim.ac.id/id/eprint/33969 |
Actions (login required)
View Item |