Prasdika Widas Sena, Widya Setiafindari, Fikri Dwiyanto

The Visualization of the Batik Cloth Stamping Machine Using Augmented Reality at the Yogyakarta City Crafts and Batik Center

Introduction

The visualization of the batik cloth stamping machine using augmented reality at the yogyakarta city crafts and batik center. Visualize batik stamping machines using Augmented Reality at Yogyakarta's Crafts & Batik Center. Evaluate 3D designs, reduce costs, and boost production targets.

Abstract

The batik stamp machine is one of the machines used by the Center for Crafts and Batik to make batik cloth. This machine has been automated using PLC (Programmable Logic Controler) which makes machine can be controlled by computer. The batik products produced are 15 page/month. From the results of the production carried out, it has not met the production target which is targeted to reach 50 page/month, so there is a need for innovation in the machine which will increase production. The redesign of this stamp machine using technology Augmented Reality namely visualizing a 3D image to be object 3D so that it can evaluate the object to be made before it reaches the development machine stage so as to reduce costs. The process that must be carried out is to make a drawing of a batik stamp machine including: machine size, and machine specifications, make a license on Vuvoria Engine to making markers on software unity. The method used in the development of Augmented Reality is single marker method i.e. one image marker can only display single objects, so the method cannot display multi object. From the results of making Technology Augmented Reality is a redesign carried out on the stamping machine for batik at the Center for Crafts and Batik is a rare step that can be done to increase the productivity of making batik so that it meets the production targets expected by the Center for Crafts and Batik. So it is necessary to visualize the machine with AR technology so that it becomes an evaluation material for batik cloth stamping machines and reduces the cost of the development of machines which in the future will be able to increase batik production.

Review

This paper presents an interesting and highly relevant application of Augmented Reality (AR) to address a pressing production challenge within the traditional batik industry. The core problem identified, namely the significant shortfall in batik cloth production (15 pages/month vs. a target of 50 pages/month) at the Yogyakarta City Crafts and Batik Center, provides a strong practical motivation for the research. The proposed solution, utilizing AR technology to visualize and evaluate a redesigned 3D batik stamping machine before physical development, offers a promising pathway for cost reduction and an ultimately faster iteration cycle, leading to improved productivity. The initiative to integrate cutting-edge AR technology into the context of traditional craft production is commendable and represents a novel approach to industrial innovation. The abstract effectively highlights the potential for early design evaluation to mitigate development costs, which is a clear benefit of such visualization techniques. However, some aspects warrant further clarity. The abstract's phrasing "visualizing a 3D image to be object 3D" is somewhat imprecise and could be refined. More critically, while AR is presented as a tool for machine redesign and evaluation, the direct causal link and specific mechanisms by which this AR-enabled redesign directly contributes to the substantial targeted production increase (from 15 to 50 pages/month) could be elaborated with greater precision beyond just "reducing costs." Furthermore, the stated limitation of the "single marker method" (only displaying single objects) raises questions about its sufficiency for comprehensively visualizing and evaluating the potentially multi-component complexity of an entire stamping machine. In summary, this work introduces a fascinating and potentially high-impact concept for leveraging AR in a traditional manufacturing setting. To maximize its contribution, the full paper would benefit from a more detailed exposition of the AR development methodology, clear examples of how the AR visualization facilitates specific design evaluations, and a more robust argument explicitly connecting these evaluations to the expected increase in batik production. Addressing the practical implications and workarounds for the "single marker method" limitation in the context of complex machine visualization would also strengthen the study. If these details are thoroughly addressed, this research has the potential to offer significant practical insights and a compelling case for AR adoption in diverse industrial contexts.

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