Mobile Application System For Point of Sales in Coffee Sales at Langit Coffee Space

The coffee shop industry in Indonesia is experiencing rapid growth, leading to intense competition among businesses. Langit Coffee Space faces challenges in managing stock and financial reporting, which are still handled manually, resulting in frequent errors and difficulties in storing and retrieving increasing amounts of data. This study aims to develop a mobile-based Point of Sale (POS) application tailored for Langit Coffee Space to improve operational efficiency. Using the Extreme Programming methodology, the application integrates features for real-time stock management, digital ordering, automated financial reporting, and support for multiple payment methods, including digital payments. Testing results indicate that the application successfully reduced stock recording errors by 30% and shortened the time required to prepare financial reports by up to 50%, significantly enhancing efficiency. Compared to other solutions, this application provides flexibility for future feature enhancements, such as loyalty programs, which may not be available in general POS applications.

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Publication Details

Journal
INOVTEK Polbeng - Seri Informatika
Published
2024-10-24
DOI
https://doi.org/10.35314/tb6adx44
Citations
1
Primary Topic
QR Code Applications and Technologies
Type
article
Field-Weighted Citation Impact
0.78
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article

Mobile Application System For Point of Sales in Coffee Sales at Langit Coffee Space

Yuhanis Abdul Aziz
1 citations
INOVTEK Polbeng - Seri Informatika
QR Code Applications and Technologies
0.78
article

Mobile Application System For Point of Sales in Coffee Sales at Langit Coffee Space

Yuhanis Abdul Aziz
article en
1 citations

Abstract

The coffee shop industry in Indonesia is experiencing rapid growth, leading to intense competition among businesses. Langit Coffee Space faces challenges in managing stock and financial reporting, which are still handled manually, resulting in frequent errors and difficulties in storing and retrieving increasing amounts of data. This study aims to develop a mobile-based Point of Sale (POS) application tailored for Langit Coffee Space to improve operational efficiency. Using the Extreme Programming methodology, the application integrates features for real-time stock management, digital ordering, automated financial reporting, and support for multiple payment methods, including digital payments. Testing results indicate that the application successfully reduced stock recording errors by 30% and shortened the time required to prepare financial reports by up to 50%, significantly enhancing efficiency. Compared to other solutions, this application provides flexibility for future feature enhancements, such as loyalty programs, which may not be available in general POS applications.

INOVTEK Polbeng - Seri InformatikaVol. 9(2)
Universitas Islam Negeri Sumatera Utara (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
QR Code Applications and Technologies
0.78
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Mobile Application System For Point of Sales in Coffee Sales at Langit Coffee Space — Yuhanis Abdul Aziz · INOVTEK Polbeng - Seri Informatika (2024) | TGRS Research Map | TGRS