Abstract.
Usaha Gigih Enterprise is a small industrial company that produce many type of chips. Technological advancement towards Industrial Revolution 4.0 provides an idea to help this company grow its business using modern technology. Usaha Gigih Enterprise manages its business manually like most other small businesses. Basically, this company runs a crisp business for supplying to buyers. The process involved in this business is the sale of crisp and record the inventory of crisp.
Due to the fact that this business process is being run manually, it is difficult for the company to run the data recording process. Businesses need to record every stock inventory that has been produced and also record the sales and orders from customers. The company is difficult to estimate the amount in producing each product for each month. Product revenue estimates are the main thing in the company to avoid excessive production and ensure the supply is always sufficient in meeting customers' needs. To overcome the problems faced, there are techniques that can be implemented to assist the company's business operations. The methods and techniques that can be used to solve the problem are by using time series modeling that is data with a pattern or trend. There are two stages in time series modelling that is Univariate Forecasting for one variable and Multivariate Forecasting for many variables. This project will use Univariate Forecasting because it will forecast one variable from trend alone in forecasting techniques. It will predict the amount of production that must be produced by the company with the appropriate quantity and be able to avoid excess or deficiency in production. |
About me. |
Project Team
Hafizz Nasruddin
|
Abd Rasid
|
Wan Suryani
Project Supervisor
|
Usaha Gigih
Enterprise
|
Introduction.Crisp refer to a kind of snack that is cut thin and fried until crisp. Crisp are made from various materials and named according to the type of material used to produce the crisp. Most crisp companies are located in the village area and business processes have been conducted traditionally or manually. Usaha Gigih Enterprise is a small industrial company that produces many types of crisp. Technological advancement towards Industrial Revolution 4.0 provides an idea to help this company grow its business using modern technology.
|
Objective
|
DesignTo design a process flow, structure of user interface and database from the Crisp Stock Forecast System (CSFoS).
|
DevelopTo develop a system that can manage the user order and forecast stock of crisp.
|
TestTo test the capabilities of the Crisp Stock Forecast System (CSFoS) and generate the report to the user.
|
|
Problem Statement
|
Management of crisp order system
|
|
Difficulties in estimates production of crisp
|
|
Method Applied
Least Square Method
Common method of constructing straight line equation through data points to obtain the best fitting line. Equation of straight line Y = a+bt
|
Result
Conclusions
Crisp Stock Forecast System (CSFoS) Using Least Square Method is developed to help Company to make a prediction on the upcoming stock production. In addition, it also helps customer to make an online crisp order. This system has been achieved the objectives and all scopes had been fulfilled.
The achievement of this project is :
|