SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KARYAWAN TERBAIK CARREFOUR MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)
Abstract: Carrefour is a
company engaged in the field of trade. Carrefour during this procedure uses
only the standard recommends employees per Division to include in the
determination of the best employees. The assessment is done to determine the
best employees of the company must comply with aspects such as mastery of
insight into carrefour, mastery of the insight into the activities of the
shops, the mastery of an insight into the management of the store, the ability
to respond to and answer questions. The company is sometimes difficult in
making a decision, especially if some of the existing employees have skills
that are not much different the existing problems on the determination of the
best employees. Therefore required a decision support system in the determination
of the best employees. This research method using Simple Additive Weighting
(SAW) are often also known the term weighted summation method. The concept of
the method is to find a weighted summation of the SAW of rating performance on
any alternative on all attributes. The method of matrix the normalization
process requires SAW decision (x) to a scale that can be compared with all the
alternative rating. Development of a system that used to use the waterfall. The
results of this research in the form of a system that will help employees admin
section in performing data processing employees, can automate the penginputan
employees and can provide solutions for the employee admin section.
Penulis: Atin Triwahyuni, M.
Reza Septiawan, Rizal
Kode Jurnal: jptinformatikadd150305
