Simulation of enterprise accounting information system based on improved neural network and cloud computing platform

2021 ◽  
Author(s):  
Jing Li
Keyword(s):  
Neural Network ◽  
Cloud Computing ◽  
Information System ◽  
Accounting Information ◽  
Accounting Information System ◽  
Computing Platform ◽  
Cloud Computing Platform

Research of Cloud Computing in Management Information System

2013 ◽  
Vol 655-657 ◽  
pp. 1826-1829
Author(s):  
Zheng Xing Xiao
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Management Information System ◽  
Massive Data ◽  
Management Information ◽  
Computing Platform ◽  
Complex Functions ◽  
Cloud Computing Platform ◽  
Diverse Data

characteristics of current MIS System are massive data、diverse data and complex functions. This kind of System requires higher requirement to Storage and Computing. This paper proposes a way to resolve it by build cloud computing platform by making full use of large number of idle computers.

Neural network based cloud computing platform for bioinformatics

2013 ◽  
Author(s):  
Ataul Aziz Ikram ◽  
Salma Ibrahim ◽  
Muhammad Sardaraz ◽  
Muhammad Tahir ◽  
Hassan Bajwa ◽  
...  
Keyword(s):  
Neural Network ◽  
Cloud Computing ◽  
Computing Platform ◽  
Cloud Computing Platform

Applying Multiple Linear Regression and Neural Network to Predict Business Performance Using the Reliability of Accounting Information System

2018 ◽  
Vol 5 (2) ◽  
pp. 12-26 ◽  
Author(s):  
Ahmed H. Al-Dmour ◽  
Rand H. Al-Dmour
Keyword(s):  
Neural Network ◽  
Information System ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Business Performance ◽  
Service Sector ◽  
Predictive Accuracy ◽  
Accounting Information ◽  
Primary Data ◽  
Accounting Information System

This article aims to predict business performance using multiple linear regression and neural network. It compares the accuracy power of ANN and multiple linear regression (MLR) using the reliability of accounting information system as independent variables, and business performance as a dependent variable. It is based on primary data collected through a structured questionnaire from 162 out 202 of public listed companies in financial service sector in Jordan. The data were analysed using ANN and MLR. Testing results of the two methods ANN and MLR confirmed that the business performance indicators (financial, non-financial and combined) were significantly could be predicted by the reliability of AIS and they also revealed that in terms of predictive accuracy test, the ANN has a higher accuracy than regression analysis.

scholarly journals Tinjauan Sistem Informasi Akuntansi UMKM Berbasis Cloud

2016 ◽  
Vol 8 (2) ◽  
pp. 131-142
Author(s):  
Rahadian Prilahardo
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Accounting Information ◽  
Business Owners ◽  
Software As A Service ◽  
Decision Making Process ◽  
Accounting Information System ◽  
Comprehensive Review ◽  
Technology Revolution ◽  
Medium Businesses

The purpose of this study is to identify considerations of acquiring Cloud based Accounting Information System as Software as a Service (SaaS) towards small to medium businesses which has evolve alongside information technology revolution by comprehensively review basic concept of cloud computing and flexibility and agility values added by cloud computing onto conventional Accounting Information System thus may change the decision making process for small to medium business owners and management. This study provides comprehensive review of Cloud-based Accounting Information System and Non-cloud for small and medium business.    

THE INFLUENCE OF EDUCATIONAL LEVEL, WORK EXPERIENCE AND COMPREHENSION OF ACCOUNTING INFORMATION SYSTEM ON FINANCIAL REPORT QUALITY

2018 ◽  
Vol 4 (2) ◽  
pp. 33-42
Author(s):  
Fajar Adiyanto ◽  
Yuli Chomsatu Samrotun ◽  
Anita Wijayanti
Keyword(s):  
Information System ◽  
Data Analysis ◽  
Educational Level ◽  
Work Experience ◽  
Accounting Information ◽  
Primary Data ◽  
Multiple Series ◽  
Accounting Information System ◽  
Financial Report ◽  
Report Quality

This study is conducted to: 1) test and analyze the influence of educational level on financial report quality; 2) test and analyze the influence of work experience on financial report quality; 3) test and analyze the influence of accounting information system on financial report quality. This type of research i.e. research with quantitative data sources in this study is the primary data. Population in this study is all employees employed in district financial department in Surakarta with the sample amounted of 30 employees, where all population was taken as sample. The technique in this study use the question form. The data analysis in a linear regression multiple series program spss for windows version 17.0. From data analysis known that the variabel work experience (H2) and accounting information system comprehension (H3) have influence on financial report quality, and the educational level (H1) variable has no influence on financial report quality, with in the regression coefficient values show that showed a negative value i.e. t count-0.985 and significant value of 0.334

EFFECT OF TOP MANAGEMENT SUPPORT, SYSTEM QUALITY, AND INFORMATION QUALITY ON SATISFACTION ACCOUNTING INFORMATION SYSTEM USERS IN LEMBAGA PERKREDITAN DESA (LPD) IN UBUD DISTRICT

2019 ◽  
Vol 1 (1) ◽  
pp. 123-142
Author(s):  
Sang Ayu Putu Arie Indraswarawati ◽  
I Putu Deddy Samtika Putra ◽  
Ni Wayan Cahyani
Keyword(s):  
Information System ◽  
Support System ◽  
User Satisfaction ◽  
Information Quality ◽  
Accounting Information ◽  
Top Management ◽  
Management Support ◽  
System Quality ◽  
Accounting Information System ◽  
Top Management Support

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.

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