Augmented reality smart batik (AR-SaBa) application for helping batik marketing

Dissatisfaction among consumers due to limitations in batik product marketing within MSMEs has been identified as a critical issue. To address this, an innovative approach to batik shopping was developed through the Augmented Reality (AR-SaBa) mobile application. Concerns related to product quality, brand image, and trust—particularly when products fail to meet consumer expectations—were targeted. The objective of the study was the design of an Augmented Reality application utilizing marker detection via Unity 3D on the Android platform. This application was designed to enhance online product listings, enabling consumers to explore batik products in greater detail prior to purchase. Consumers are provided with the ability to view batik garments on a 3D model tailored to selected motifs and designs. The effectiveness of this solution was demonstrated, with the application performing successfully across various mobile devices. Validation of the AR-SaBa application, conducted by 18 evaluators including AR developers, fashion lecturers, batik MSME owners, and loyal consumers, revealed performance ratings ranging from 4.00 to 4.61 across criteria such as performance, usefulness, learnability, accuracy, suitability, engagement, novelty, relevance, feedback, and flexibility and control. An overall acceptance rating of 88.22% was achieved, placing the AR-SaBa application in the high-acceptance category.

Authors

Institutions

Publication Details

Journal
Multidisciplinary Science Journal
Published
2025-06-27
DOI
https://doi.org/10.31893/multiscience.2025613
Citations
3
Primary Topic
Blockchain Technology in Education and Learning
Type
article
Field-Weighted Citation Impact
9.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Augmented reality smart batik (AR-SaBa) application for helping batik marketing

Tita Rosalina, T Triyanto, Muhammad Nurtanto, Mustofa Abi Hamid et al.
3 citations
Multidisciplinary Science Journal
Blockchain Technology in Education and Learning
9.74
article

Augmented reality smart batik (AR-SaBa) application for helping batik marketing

Tita Rosalina, T Triyanto, Muhammad Nurtanto, Mustofa Abi Hamid, Nur Kholifah, Farid Mutohhari, Rossi Evita, Ihwana As’ad, Widiya Avianti, Ayu Intan Sari
article en
3 citations

Abstract

Dissatisfaction among consumers due to limitations in batik product marketing within MSMEs has been identified as a critical issue. To address this, an innovative approach to batik shopping was developed through the Augmented Reality (AR-SaBa) mobile application. Concerns related to product quality, brand image, and trust—particularly when products fail to meet consumer expectations—were targeted. The objective of the study was the design of an Augmented Reality application utilizing marker detection via Unity 3D on the Android platform. This application was designed to enhance online product listings, enabling consumers to explore batik products in greater detail prior to purchase. Consumers are provided with the ability to view batik garments on a 3D model tailored to selected motifs and designs. The effectiveness of this solution was demonstrated, with the application performing successfully across various mobile devices. Validation of the AR-SaBa application, conducted by 18 evaluators including AR developers, fashion lecturers, batik MSME owners, and loyal consumers, revealed performance ratings ranging from 4.00 to 4.61 across criteria such as performance, usefulness, learnability, accuracy, suitability, engagement, novelty, relevance, feedback, and flexibility and control. An overall acceptance rating of 88.22% was achieved, placing the AR-SaBa application in the high-acceptance category.

Multidisciplinary Science JournalVol. 7(12)
Sebelas Maret University (ID), Yogyakarta State University (ID), Sultan Ageng Tirtayasa University (ID), State University of Jakarta (ID), Universitas Muslim Indonesia (ID), Universitas Winaya Mukti (ID), Universitas Ratu Samban (ID), University of Sarjanawiyata Tamansiswa (ID)
Openalex Percentile: Top 2%
Blockchain Technology in Education and Learning
9.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.