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Accounting and Smart System: Functional Evaluation of ISO/IEC 25010:2011 Quality Model (a Case Study)
Author(s) -
Haryasena Panduwiyasa,
Muhardi Saputra,
Zulfa Azzahra,
A R Aniko
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1092/1/012065
Subject(s) - standardization , quality (philosophy) , accounting information system , process management , computer science , database transaction , agile software development , business process , business , process (computing) , accounting , database , marketing , software engineering , work in process , philosophy , epistemology , operating system
Agile, flexible, and adaptable are important elements in the era of industrial 4.0, and vastly become new objectives by all entrepreneurs in developing their business information systems. As the most productive market in the global economy, Small and Medium Enterprises (SME) plays a vital role in developing countries. An ideal SME must have a standardized in the planning system and have an optimal quality of data model to run the business process and its operation. In the accounting system, all transaction data must be integrated to become a source of data for further processes such as recording sales or purchases, financial reporting, and generating invoices. The absence of technology and automated system in the accounting processes of SMEs, frequently waste both time, assets, and resources to be finished. Open-source ERP system implementation is often to be the initial step for SMEs to create a smart system that automating the business processes and operation’s needs. However, accurate parameters are needed to achieve an optimal system and data quality. The objective of this study is to evaluate the functional suitability level of smart ERP in the SME sector based on ISO 25010: 2011 standardization, and to produce good quality systems, as a result of the success of smart ERP systems implementation in automating business processes and integrating data across departments.

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