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An analysis of Point of Sales (POS) information systems in SMESswith the black box testing and PIECES method

Andarwati, Mardiana, Amrullah, Fikri, Thamrin, Elfirahmi and Muslikh, Ahmad Rofiqul ORCID: https://orcid.org/0009-0000-2457-6803 (2020) An analysis of Point of Sales (POS) information systems in SMESswith the black box testing and PIECES method. IOSR JOurnal of Business and Management (IOSR-JBM), 22 (9). pp. 20-25. ISSN p-ISSN: 2319-7668 ; e-2278-487X

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Abstract

Background: The role of SMEs is crusial in economic growth. To help them running their business, they need to use information system. The research objective was to test the functional level of the Point of Sales (POS) information system and to analyze the effectiveness of the POS information system. Materials and Methods: The research method tested the functional level of the system using the black box testing method and testing using the equivalent partitioning. The analysis of the effectiveness of the POS information system use the PIECES method. The analysis process was carried out by distributing questionnaires to 183 respondents about the effectiveness of the POS information system using six variables and testing the validity.
Results: The results of functional test research using the black box testing method are very satisfying because the test cases that have been tested show that there is no interface that is functionally invalid or error. The results of measuring the effectiveness of the POS information system using the PIECES method on the aspects of performance, information, economy, control, efficiency, and service are effective.
Conclusion:POS information system is in line with SMEs needs because it provides faster services in obtaining transaction receipts and sales report.

Item Type: Article
Additional Information: Mardiana Andarwati NIDN : 0716037601 ; Ahmad Rofikul Muslikh NIDN: 0724038903
Uncontrolled Keywords: Information system, Point of Sales, SMEs, Black Box Testing, PIECES
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Teknologi Informasi > S1 Sistem Informasi
Depositing User: Surya Dannie
Date Deposited: 16 Jun 2023 02:57
Last Modified: 13 Mar 2024 04:38
URI: https://eprints.unmer.ac.id/id/eprint/3429

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