Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)

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Semi-Automatic Dyeing Tool for Palembang Typical Natural Fibre Jumputan Batik Fabric Based on Internet of Things

Authors
Sholihin Sholihin1, *, Adewasti Adewasti1, Eka Susanti1, Siswandi Siswandi1, C. G. M. Ridho1, C. Venous1
1Department of Polytechnic Sriwijaya, Srijaya Negera Street, Bukit Besar, Palembang, Indonesia
*Corresponding author. Email: sholihin@polsri.ac.id
Corresponding Author
Sholihin Sholihin
Available Online 27 February 2024.
DOI
10.2991/978-94-6463-386-3_4How to use a DOI?
Keywords
Artificial Intelligence; MIT Application; NodeMcu; Sensor and Transducer; Internet of Thing
Abstract

The development of cloth at this time is creating various types of fabric products. Of the various decorative fabrics that have been made for daily needs using machine tools, one of the tools used is a tool for making printed fabrics. One example of printed fabric is tie dyed fabric or jumputan fabric which is often found in the market. The process of tie-dyed or jumputan fabrics has now undergone many changes. The technique and manufacture are no longer complicated and time-consuming. As technology advances, production is now more practical and fast, so that production results can be increased. To make this happen, this study proposes an Internet of Things-based jumputan batik dyeing tool that can work automatically in the mixing section with an intelligent control system. That is using the NodeMCU ESP32 microcontroller which is controlled through the Batik_Jumputan application on Android which was developed with the MIT App Invertor. The results of connection testing that has been done, it is obtained that the average length of time it takes for Wi-Fi to connect is 02.05 seconds with the description that the connection is connected, it can be said that this tool has a fast response.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
Series
Advances in Engineering Research
Publication Date
27 February 2024
ISBN
10.2991/978-94-6463-386-3_4
ISSN
2352-5401
DOI
10.2991/978-94-6463-386-3_4How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Sholihin Sholihin
AU  - Adewasti Adewasti
AU  - Eka Susanti
AU  - Siswandi Siswandi
AU  - C. G. M. Ridho
AU  - C. Venous
PY  - 2024
DA  - 2024/02/27
TI  - Semi-Automatic Dyeing Tool for Palembang Typical Natural Fibre Jumputan Batik Fabric Based on Internet of Things
BT  - Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
PB  - Atlantis Press
SP  - 23
EP  - 31
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-386-3_4
DO  - 10.2991/978-94-6463-386-3_4
ID  - Sholihin2024
ER  -