Jurnal Nasional Komputasi dan Teknologi Informasi
Vol 4, No 1 (2021): Februari 2021

Implementasi Logika Fuzzy dalam Memprediksi Tingkat Kelulusan Tes Seleksi CPNS dengan Menggunakan Metode Tsukamoto

Romantika Tambunan (STMIK Pelita Nusantara, Medan Indonesia)
Murni Marbun (STMIK Pelita Nusantara, Medan Indonesia)

Article Info

Publish Date
24 Feb 2021

Abstract

Applicants who take part in the selection of Candidates for Civil Servant Candidates (CPNS) must pass through the steps that must be taken which can determine the graduation rate. The criteria for predicting the passing of the CPNS selection test are used by the Basic Competency Selection (SKD) which consists of a Personal Characteristic Test (TKP), General Intelligence Test (TIU), National Insight Test (TWK), Competency Selection Section (SKB) which consists of a computer assisted test (CAT) and interviews, and the number of quotas received. This research is the implementation of Fuzzy Tsukamoto Logic in Predicting the Passing Rate of the CPNS Selection Test. The system for predicting the passing of the CPNS selection test was built using the Web-based PHP programming language. Data management using MySQL database. The overall defuzzyfication (Z) result in the system predicts the passing rate of CPNS = 61.950223979 = 62.

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Journal Info
Jurnal Nasional Komputasi dan Teknologi Informasi
Website

Abbrev

jnkti

Publisher

Universitas Serambi Mekkah Aceh

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Description

Jurnal Nasional Komputasi dan Teknologi Informasi adalah jurnal nasional yang diterbitkan oleh Program Studi Teknik Komputer Universitas Serambi Mekkah tahun 2018 dan telah Terakreditasi SINTA 5. Jurnal ini terbit sebanyak enam edisi dalam satu tahun yaitu setiap bulan Februari, April, Juni, ...