PROTOTYPE OF SPINNING PRODUCTION MONITORING SYSTEM WITH DJANGO REST-FRAMEWORK APPLICATION

• Main Author: Hananto, Agus
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/53295
• Institution: Institut Teknologi Bandung

Technology 4.0 in the textile industry, especially of yarn spinning production, have not been widely implemented, especially in process control and production control are still done conventionally. One way of controlling production is production achievements monitoring and machine operating conditions monitoring. Company owner or chief, in general to monitor production performance indirectly through daily production report which is recorded by the operator at the end of the shift. In addition too, there is no information media that can process production data into visual data (infographic) can be easy accessible and analyzed at the any time by the company owner or chief. This research was made prototype of production monitoring system, which provides information services about production data and machine operating conditions or status, which is displayed in graphical form (dashboard) and can be realtime easy accessed via localhost web browser network using a personal computer or smartphone. Prototype of the yarn spinning production monitoring system is designed on two main parts; (1) monitoring module device, which consists of; a data processing module, a sensor that records production data and machine condition or status, and a wireless connection using the MQTT protocol. (2) a monitoring system web developed using the django framework. Experiments are carried out directly in the yarn spinning industry. The experimental results showed, the yarn spinning production monitoring system is running well. With this system, information on production data and operating conditions or status each machine can be real time monitored, data result from monitoring are stored in a database, processed, and displayed in graphical form (dashboard) and can be realtime easy accessed via localhost web browser network using a personal computer or smartphone.