The ZOG/VINSON Technology Demonstration Project: CV Shipboard Management Support System Specifications

1986 ◽  
Author(s):  
Jack A. Jeffers
2019 ◽  
Vol 1 (1) ◽  
pp. 123-142
Author(s):  
Sang Ayu Putu Arie Indraswarawati ◽  
I Putu Deddy Samtika Putra ◽  
Ni Wayan Cahyani

The use of Accounting Information System (AIS) is very helpful in accommodating all the information needed to make an accurate decision. Indicators in determining the good and bad performance of an information system can be seen through AIS user satisfaction and usage. The purpose of this study was to determine the effect of top management support, system quality and information quality on AIS user satisfaction. The sample selection method used was purposive sampling. The research sample was 147 people consisting of administrators, loan officers and savings at 29 Lembaga Perkreditan Desa (LPD) in Ubud Subdistrict. The data in this study is primary data which is the answer from the questionnaire. The regression results show that all variables have a significance of 0,000. It shows that top management support, system quality and information quality have positive influences on Accounting Information System user satisfaction.


2015 ◽  
Vol 6 (1) ◽  
pp. 12-19
Author(s):  
Angellia Debora Suryawan ◽  
Marlene Martani ◽  
Mahenda Metta Surya

Human resources are an important asset in the entire company operations activity. A human resources management support system should be provided to improve performance in  accordance with the company target. The purpose of this study is to design a model of operational and human resource management support systems that can integrate employee performance data, simplify management of employee data, and generate reports in the form of Key Performance Indicator (KPI) and Binusian Level. Methodology used in this study is using literature study, design, and test a model to make operational and human resource management information system. Index Terms - human resources, operational support system, Key Performance Indicator (KPI)  


2012 ◽  
Vol 18 (4) ◽  
pp. 414-435 ◽  
Author(s):  
Hooshang M. Beheshti ◽  
Dale Grgurich ◽  
Faye W. Gilbert

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