Design and Testing of an Android-Based Point of Sale Application for Operational Digitalization at Kedai Lumpia Super MSME Using Black Box Testing and User Acceptance Testing

Abstract

Manual transaction recording and stock management at Kedai Lumpia Super MSME may lead to data errors and operational inefficiency. This study aims to design and test an Android-based Point of Sale application tailored to the operational needs of Kedai Lumpia Super MSME. This study applies a case study and software engineering approach using the Iterative Waterfall development model. System requirements were collected through observation, interviews, transaction document analysis, and a literature review. Testing was conducted using Black Box Testing to assess the conformity of system functions and User Acceptance Testing to validate feature acceptance by the MSME owner as the main stakeholder. The Black Box Testing results showed that all 20 scenarios ran as expected, consisting of 16 passed scenarios and 4 passed scenarios with notes. The UAT results showed that all 15 statements were accepted by the MSME owner. This study contributes a digital solution for managing transactions, daily stock, receipts, transaction history, recapitulation, and sales statistics in a culinary MSME. However, the results of this study are limited to one MSME object and acceptance validation by the owner as the main stakeholder.