Application design to help predict market demand using the waterfall method

Matrix: Jurnal Manajemen Teknologi dan Informatika

Ramen Antonov Purba¹ 

[1] Politeknik Unggul LP3M, Indonesia;

关键词: sales prediction;    linear regression;    waterfall;    black box;    mitsubishi cars;   

DOI  :  10.31940/matrix.v11i3.140-149

来源: DOAJ

【 摘 要 】

Covid-19 has not been defeated make the economy unstable. The government increases purchasing power with a stimulus. The government's stimulus for PPnBM 0% of cars is a breath of fresh air. Sales rate increases. Even so, the ups and downs keep happening. Sales are unstable. In one to three months, five cars can be sold. It could also take 3 to 6 months, only 1 unit. Must make a strategy to avoid overcrowding of units. Like PT. Suka Fajar Ltd Medan. Companies engaged in the sale of Mitsubishi cars. As operating costs increase, management limits the acceptance of car shipments. This policy has fatal consequences. When consumers want to buy a particular car unit, it is not available. Incidents like this happened more than five times. The company's image is not good. Researched to design and build applications that can make predictions—collaborated with the linear regression. To be directed and sequential, the waterfall is used. Ensuring the application is suitable for testing with the black box. Research leads to the conclusion that the application is designed and built according to what is needed.

【 授权许可】

Unknown