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All Journal Bulletin of Information Technology (BIT) In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)
Hendrik, Dede
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Arts Computer Science & IT Economics, Econometrics & Finance Other

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Metode Penyusunan Media Promosi Digital Hendrik, Dede
In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Vol 23 No 1 (2024): In Search
Publisher : LPPM UNIBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/insearch.v23i1.943

Abstract

The development of information technology is currently felt to be running very fast and has a major influence on all aspects of life, one of the main factors accompanying this development is the internet, which is a large network of interconnections between computers throughout the world through telephone lines, satellites and other telecommunications media. The transmission of information between continents is no longer in a matter of minutes, even at any time someone can access the internet without limits
Evaluasi Kinerja Pegawai Berbasis Teknologi: Implementasi Sistem Pendukung Keputusan dengan Metode Profile Matching Suhada, Karya; Hendrik, Dede; Andriyana, Andriyana; Isnandar, Evi; Yanitasari, Yessy
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i2.2019

Abstract

Employee performance evaluation is an important process to improve work efficiency and effectiveness in government agencies. At the Simpang Empat District Office, the performance evaluation process is still carried out manually, which is often time consuming and prone to subjectivity. This research aims to develop a Decision Support System (DSS) based on the Profile Matching method to assist the employee performance evaluation process. This research uses the Profile Matching method, where the ideal performance profile is used as a reference for assessing individual performance. Employee performance data is collected through work assessments, interviews and direct observation. The SPK system developed is designed to automate the evaluation process by comparing employee performance profiles with ideal performance profiles. This system succeeded in reducing evaluation time by up to 50% and increasing assessment accuracy compared to manual methods. Employees with substandard performance can be identified quickly, allowing for timely intervention.
Co-Authors Andriyana, Andriyana Isnandar, Evi Suhada, Karya Yessy Yanitasari