PENERAPAN DECISION SUPPORT SYSTEM DYNAMIC MENGGUNAKAN SIMPLE ADDICTIVE WEIGHTING DALAM PENENTUAN PEGAWAI TERBAIK | Zendy

Tanti Rismawati | Zendy; Muhammad Aji Pangestu | Zendy; Agung Teguh Wibowo Almais | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

PENERAPAN DECISION SUPPORT SYSTEM DYNAMIC MENGGUNAKAN SIMPLE ADDICTIVE WEIGHTING DALAM PENENTUAN PEGAWAI TERBAIK

Author(s) -

Tanti Rismawati,

Muhammad Aji Pangestu,

Agung Teguh Wibowo Almais

Publication year - 2020

Publication title -

jurnal ilmiah informatika

Language(s) - English

Resource type - Journals

eISSN - 2549-7480

pISSN - 2549-6301

DOI - 10.35316/jimi.v5i1.547

Subject(s) - weighting , confusion matrix , computer science , data warehouse , test data , simple (philosophy) , data mining , decision support system , confusion , test (biology) , artificial intelligence , machine learning , software engineering , medicine , psychology , paleontology , philosophy , epistemology , biology , psychoanalysis , radiology

Lots of applications or programs that are very useful to simplify human work. This includes applications that are made within a company. A company needs an intelligent system or an agent that controls the company's system. In a company has employees who work. This research will discuss the Dynamic Decision Support System in determining the best employees using one of the web-based Multi-Criteria Decision Making methods, which is Simple Additive Weighting (SAW). By using 2 types of data namely pattern data and test data. The data inputted were 15 data consisting of 10 test data and 5 pattern data. Then a confusion matrix can be obtained in the form of an accuracy value of 25%, a precision of 100%, a recall of 14%, and an F Measure of 24.5%.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research