Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Paradigma
. Apriyanto
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
KAJIAN PENERIMAAN SISTEM PENDATAAN ULANG PESERTA PROGRAM PENSIUN : STUDI KASUS PADA DANA PENSIUN PLN . Apriyanto
Paradigma Vol 18, No 1 (2016): Periode Maret
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (953.797 KB) | DOI: 10.31294/p.v18i1.869

Abstract

The data collection PLN retirees routinely performed each year in the PLN Pension Fund. The data collection was done in order to obtain data that can be true. Until now, the management of DPPLN assumes that Data Collection System that they use are effective to obtain data fast, correct and up to date. Management also assume that the data collection system can be well received by users of the system. This study adopts the UTAUT model developed by Venkates et al (2003). The data sample used 150 data taken from the questionnaire. The purpose of the study to determine the factors that influence the acceptance of use retirees data collection system and also look at the moderating effects of gender, and age in the acceptance of the system. Methods of data processing using Structural Equation Modeling (SEM) with AMOS 18.0 software. The study describes the endogenous variable user behavior (UB) is influenced by performance expectancy (PE) occurs as much as 5.8%. While other factors, namely the effort expectancy (EE), Social Influence (SI), and facilitating conditions (FC) as much as 94.2% had no effect on the study.
Co-Authors