Machine Learning Prediksi Karakter Pengguna Hastag Bahasa Generasi Milenial di Sosial media

Penulis

  • Jhonson Manurung, STMIK Pelita Nusantara,  Indonesia
  • Hiskia Monel Cibro, STMIK Pelita Nusantara,  Indonesia

DOI:

https://doi.org/10.34013/saintek.v1i2.30

Kata Kunci:

Sales of Goods, PHP, MySQL

Abstrak

The spare parts that are currently running are less efficient because during the process of selling and recording the spare
parts that require a long time, the management of the unbalanced company that is taking place in Cipta Mandiri Jaya is one of the
companies that sell car parts. The existence of a debate, then we need an information system that can help smooth operational processes.
The purpose of designing this system is to provide the required report information quickly for CV. Cipta Mandiri Jaya. Information
systems for sales of goods are designed using the PHP programming language and MySQL as the database. The application that can
reduce and minimize the problem of counting, makes it easier to make purchases, sales and purchase transactions more effectively and
efficiently and is supported by a high level of data security

Unduhan

Data unduhan belum tersedia.

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Diterbitkan

2020-03-20

Cara Mengutip

Manurung, J., & Cibro, H. M. (2020). Machine Learning Prediksi Karakter Pengguna Hastag Bahasa Generasi Milenial di Sosial media. Jurnal Sains Dan Teknologi, 1(2), 1-4. https://doi.org/10.34013/saintek.v1i2.30