Darmanto, Marshall Alford Sebastian and Rusli, Leonard P. and Galinium, Maulahikmah (2022) SELF SERVICE KIOSK FOR COMMERCIAL LAUNDRY. Bachelor thesis, Swiss German University.
Text
MT_Marshall Darmanto_1.pdf Restricted to Repository staff only Download (372kB) |
|
Text
MT_Marshall Darmanto_2.pdf Restricted to Repository staff only Download (741kB) |
|
Text
MT_Marshall Darmanto_3.pdf Restricted to Repository staff only Download (5MB) |
|
Text
MT_Marshall Darmanto_4.pdf Restricted to Repository staff only Download (1MB) |
|
Text
MT_Marshall Darmanto_5.pdf Restricted to Repository staff only Download (475kB) |
|
Text
MT_Marshall Darmanto_REF.pdf Download (502kB) |
|
Text
MT_Marshall Darmanto_TOC.pdf Download (1MB) |
Abstract
In the era of Industry 4.0, a self-service kiosk has been developed to meet the demands of busy individuals seeking faster and simpler ways to complete their daily tasks. This system is built around the Raspberry Pi 4 as its core, utilizing LAN cable connectivity. Through a Python- based user interface called Pysimple GUI, customers can easily place their orders, which are then recorded in an SQLite 3 database. The implementation of this self-service kiosk not only reduces labor costs and improves financial efficiency for the owner but also addresses the inconveniences associated with traditional public washing machines in urban areas, such as complicated payment methods and the requirement for customers to provide their own detergent. To streamline the laundry process, the system includes a built-in detergent option for customers and integrates the Gopay payment system via Midtrans as payment gateway for enhanced convenience. Furthermore, this project involves rigorous testing of the durability, accuracy, and connection between the Raspberry Pi 4 and the washing machine, dryer, and detergent pump. The program will control the start-stop functionality of the machines based on programmed intervals. By providing a convenient, efficient, and modern solution for public laundry, the development of this system contributes to the advancement of Industry 4.0.
Item Type: | Thesis (Bachelor) |
---|---|
Subjects: | T Technology > T Technology (General) > T59.5 Automation |
Divisions: | Faculty of Engineering and Information Technology > Department of Mechatronics Engineering |
Depositing User: | Mr Arinton Sinaga |
Date Deposited: | 11 Dec 2024 07:40 |
Last Modified: | 11 Dec 2024 07:40 |
URI: | http://repository.sgu.ac.id/id/eprint/2718 |
Actions (login required)
View Item |