TY - JOUR
T1 - Integrated Point of Sales and Snack Vending Machine based on Internet of Things for Self Service Scale Micro Enterprises
AU - Dijaya, R.
AU - Suprayitno, E. A.
AU - Wicaksono, A.
N1 - Publisher Copyright:
© 2019 IOP Publishing Ltd. All rights reserved.
PY - 2019/8/30
Y1 - 2019/8/30
N2 - Sales management is a key function which helps small and medium size enterprises (SMEs) in monitoring and tracking stock and co-ordinate transaction processing. Point of Sales developed to support sales management for scale micro enterprises. While self-service applications from banking, to travel, to foodservice, to ticketing, to hotels are booming, many have forgotten that the original self-service applications were in the vending industry. Selfservice has evolved into an operational mode that no longer should be viewed as merely a device-based channel for selling snacks and beverages. The aim of this research integrates point of sales and vending machine based on internet of Things (IoT) for self-service scale micro enterprise. Applications that record while sending data from multiple sensors. Data that records sensors sent through the IoT module to the server, then the server will save the data in a server database. Periodically new data will be visualized in the system through server application is a service. Real-time sales recapitulation system through a vending machine IoT for 24 hours. After being developed and implemented 24 hours machine will embedded by Internet of Thing (IoT) module. Through this all operational forms of the system are good in the form of stock, recapitulation of sales made by the vending machine and the latest conditions vending machines will be sent to the server so that users can monitor them at any time system. In addition to the profit-taking report, items can be recorded by the system. Owner outlets can remotely controlling vending machines via mobile phones because they are connected to server API (Application Package Interface) to the server application.
AB - Sales management is a key function which helps small and medium size enterprises (SMEs) in monitoring and tracking stock and co-ordinate transaction processing. Point of Sales developed to support sales management for scale micro enterprises. While self-service applications from banking, to travel, to foodservice, to ticketing, to hotels are booming, many have forgotten that the original self-service applications were in the vending industry. Selfservice has evolved into an operational mode that no longer should be viewed as merely a device-based channel for selling snacks and beverages. The aim of this research integrates point of sales and vending machine based on internet of Things (IoT) for self-service scale micro enterprise. Applications that record while sending data from multiple sensors. Data that records sensors sent through the IoT module to the server, then the server will save the data in a server database. Periodically new data will be visualized in the system through server application is a service. Real-time sales recapitulation system through a vending machine IoT for 24 hours. After being developed and implemented 24 hours machine will embedded by Internet of Thing (IoT) module. Through this all operational forms of the system are good in the form of stock, recapitulation of sales made by the vending machine and the latest conditions vending machines will be sent to the server so that users can monitor them at any time system. In addition to the profit-taking report, items can be recorded by the system. Owner outlets can remotely controlling vending machines via mobile phones because they are connected to server API (Application Package Interface) to the server application.
UR - http://www.scopus.com/inward/record.url?scp=85072080582&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1179/1/012098
DO - 10.1088/1742-6596/1179/1/012098
M3 - Conference article
AN - SCOPUS:85072080582
SN - 1742-6588
VL - 1179
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012098
T2 - 1st International Conference on Computer, Science, Engineering and Technology, ICComSET 2018
Y2 - 27 November 2018 through 28 November 2018
ER -