"FINAL ASSIGNMENT ANALISIS PENJUALAN KAMBING DI HARI RAYA" BIG DATA AND DATA ANALYTICS
BACKGROUND
Every business requires some form of investment and enough customer to whom its can be sold on a consistent basis in order to make a profit. Kambing adalah salah satu binatang yang memiliki salah satu peran dalam penjualan hewan ternak saat hari raya tiba. Oleh karena itu saya melakukan data mining dimana data mining is an interesting pattern extraction from large amounts of data. A pattern is said to be interesting if the pattern is not trivial, implicit, unknown, and useful.
PURPOSE AND METHOD
1. To know how to the actions to be taken by knowing the margin selling of kambing.
1. We using the classification method for processing the sales data from the past years to make a decisions and forecast the customer needs in the future.
DECISION TREE
ANALYSIS
From the results of 2016 above,the total of sales is 74 goat. Mostly consumers like to buy Limousin from type A because the sales on 2016 reach 40% from the all of type, and it become the high class type of goat. The second position is Brahma with around 26%, Brahma is Type B, it also can be classified for the middle class.
From data sales of 2017 is increasing from 2016, in this year the company reach the sales 94 goat. The highest sales of this year it takes 33% of the sales, it classified to the Type C. For the second positions is Brahma, it takes 23% of sales, it classified Type B.
RESULT
Orange to process the raw data of sales from the past two years, and then we can classified which kind of the goat that mostly needed, and the company can know and forecast for the future.
From the 2016 to 2017 we can see in 2016 the mostly sales is from Type A and Type B from 75 goats from all sales. In 2017 mostly sales is from Type B and Type C, but the highest is from Type C, and the sales of this years is 94 goats from all the sales.
Every business requires some form of investment and enough customer to whom its can be sold on a consistent basis in order to make a profit. Kambing adalah salah satu binatang yang memiliki salah satu peran dalam penjualan hewan ternak saat hari raya tiba. Oleh karena itu saya melakukan data mining dimana data mining is an interesting pattern extraction from large amounts of data. A pattern is said to be interesting if the pattern is not trivial, implicit, unknown, and useful.
PURPOSE AND METHOD
1. To know how to the actions to be taken by knowing the margin selling of kambing.
1. We using the classification method for processing the sales data from the past years to make a decisions and forecast the customer needs in the future.
DECISION TREE
From the results of 2016 above,the total of sales is 74 goat. Mostly consumers like to buy Limousin from type A because the sales on 2016 reach 40% from the all of type, and it become the high class type of goat. The second position is Brahma with around 26%, Brahma is Type B, it also can be classified for the middle class.
From data sales of 2017 is increasing from 2016, in this year the company reach the sales 94 goat. The highest sales of this year it takes 33% of the sales, it classified to the Type C. For the second positions is Brahma, it takes 23% of sales, it classified Type B.
RESULT
Orange to process the raw data of sales from the past two years, and then we can classified which kind of the goat that mostly needed, and the company can know and forecast for the future.
From the 2016 to 2017 we can see in 2016 the mostly sales is from Type A and Type B from 75 goats from all sales. In 2017 mostly sales is from Type B and Type C, but the highest is from Type C, and the sales of this years is 94 goats from all the sales.
SOLUTION
From decision above,
we can conclude that the sales from 2016 to 2017 is increasing. But the most
favorite bought by the customers is for 2016 is Type A and B, and 2017 is Type
B and C.
company can forecast
that the company should know about the economical conditions of the next years,
and can make a decisions for what type of goats that should be have more stock
to prepare for the customer needs.
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