Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal Jurnal Informasi dan Teknologi International Journal of Education, Social Studies, And Management (IJESSM)
KUSNADY, DIDING
Unknown Affiliation
Computer Science & IT Education Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Effect of Burnout on Performance of Marketing Employees Anwar, Khoirul; Sutisna, Ade Jaya; Kusnady, Diding; Marthalia, Lia; Dera, Firman
International Journal Of Education, Social Studies, And Management (IJESSM) Vol. 4 No. 2 (2024): The International Journal of Education, Social Studies, and Management (IJESSM)
Publisher : LPPPIPublishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52121/ijessm.v4i2.380

Abstract

Human resources from time to time have always been interesting for researchers because they provide several benefits for companies, employees, and society. This indicates that the existence of human resources in a company has an important role in achieving goals. This research aims to analyze effect of burnout on performance of marketing employees. This research uses a causal research type with a quantitative approach. The population in the study were employees in the marketing field. Samples were taken randomly to answer the hypothesis of 30 respondents. The method of data analysis in this study used simple linear regression analysis. Based on the research results show that burnout has a positive and significant effect on performance of marketing employees.
Application of The Rapid Application Development Method to Develop a Decision Support System for Employee Performance Assessment in a State-Owned Electricity Company Fermica Iskandar, Merissa; Dharmawan, Donny; Kusnady, Diding; Sintesa, Nika; Arijanti, Susi
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.486

Abstract

This study aims to create a decision support system for employee performance evaluation that will help managers choose qualified applicants for advancement. In this study, observation, interviews, and literature review were employed as data collection techniques. RAD is the system development methodology that the author used in this study. Black box testing is used for testing. The following conclusions were drawn from the research's findings: first, it created a helpful decision support system that helped managers judge employee promotions by giving them more objectivity. This system helps managers make more accurate and equitable promotion decisions by offering rewards for evaluating employee performance. Second, this research contributes to the field by developing a decision support system visually representing employee performance metrics using graphs. Using the MFEP and MPE methods in the system provides a clear and easy-to-understand picture of employee performance. With graphs, managers can quickly and efficiently evaluate employee performance data, facilitating decision-making.
Co-Authors Arijanti, Susi Dera, Firman Donny Dharmawan Fermica Iskandar, Merissa Khoirul Anwar Marthalia, Lia Sintesa, Nika Sutisna, Ade Jaya