Image Processing Technology for Motif Recognition Mandar Silk Fabric Android Based

Authors

DOI:

https://doi.org/10.24014/ijaidm.v4i2.14470

Keywords:

Image Processing, Mandar Silk Fadric, Andorid Based Application

Abstract

People use traditional equipment to produce silk fabrics for generations. Various motifs have been created and along with their development, sarong motifs are increasingly diverse and almost similar to one another. To be able to distinguish objectively, a technological approach will be used. An Image Processing technology that can identify the motifs and patterns of each silk fabric, this technology will be implemented so that it is used to help identify the names of each silk fabric motif or pattern, in addition, this technology will contribute and become a new way of preserving culture and customs. The bounding box technique is used to identify the motif pattern, then the Receiver Operating Character (ROC) method is used for the accuracy of the detection results. Research data in the form of 13 samples of sarong motifs will be collected and inventoried to create a training data table, after that, the user interface design of the application system will be built based on Android so that it is easy to use anytime. To ensure the consistency of the detection results, the system calibration is carried out with lighting techniques and identification distances. The results show that the precision value is 100% and the accuracy is 50%. However, we note that the recall value is only 60%. This shows that this system can only detect a small amount of saqbe sarong and there are still many sarongs that cannot be detected.

Author Biographies

  • Andi Emil Multazam, Al Asyariah Mandar University
    Andi Emil Multazam, Obtained an M.Kom (Master of Computer) degree in the Computer Systems Study Program, STIMIK Handayani Makassar, Focusing on Research on Computer Systems and the Internet of Things (IoT). One of the previous studies includes the Vaname Shrimp Pond Water Quality Monitoring System (2019) Currently working full time as a lecturer and researcher at the Faculty of Computer Science, Al Asyariah Mandar University
  • Akhmad Qashlim, Al Asyariah Mandar University
    Akhmad Qashlim, Obtained an M.Kom (Master in Computer) degree at the Information Systems Masters Study Program, Diponegoro University, Semarang, Research focus on image processing and information systems, Research in the last three years, namely Smartphone Technology Applications for Milkfish Image Segmentation Using OpenCV Library (2020 ), A Website Framework to Support the Distribution of Milkfish in The Fishing Industry (2019), Estimation of milkfish physical weighting as fishery industry support system using image processing technology (2018). In addition to the Chairman of APTIKOM Prov. West Sulawesi, currently working full-time as a lecturer and researcher at the Faculty of Computer Science, Al Asyariah Mandar University.
  • UL Khairat, Al Asyariah Mandar University

    UL Khairat Obtained an M.Kom (Master of Computer) degree in the Computer Systems Study Program, STIMIK Handayani Makassar, Focusing on Research on Computer Systems, Image Processing and Internet of Things (IoT). Several previous studies Decision Support Systems for Determining Quality Coffee Beans Using the Analytical Hierarchy Process Method (2021), Hospital Information System Integration for Health Facilities and Referral Services (2021) Currently working full time as a lecturer and researcher at the Faculty of Computer Science, Al Asyariah Mandar University.

     

References

N. H. Maulida, B. Hidayat, and S. Sa’idah, “Recognition Sasirangan Fabric Base On Texture With Gabor Filter, Template Matching And Decision Tree Classification,” in e-Proceeding of Engineering, 2019, pp. 927–934.

M. Budiman Mahmud, “Aplikasi Betawi Akses: Model Strategi Pelestarian Budaya Betawi di Era Teknologi Informasi dan Komunikasi Masa Kini,” Jurnal Sosial Humaniora Terapan, vol. 2, no. 2. 2020, doi: 10.7454/jsht.v2i2.88.

A. R. Dayat and Liza Angriani, “Perancangan Aplikasi Pengenalan Kebudayaan Khas Papua Berbasis Augmented Reality,” JISKa, vol. 5, no. 1, pp. 42–55, 2020.

S. F. Tumewu, D. H. Setiabud, and I. Sugiarto, “Klasifikasi Motif Batik menggunakan metode Deep Convolutional Neural Network dengan Data Augmentation,” Jurnal Infra, vol. 8, no. 2. pp. 189–194, 2020.

V. Leksey Iosifovich, “Information Technologies in Culture and Education: Image Processing Issues,” Mod. Appl. Sci., vol. 9, no. 5, pp. 314–422, 2015, doi: http://dx.doi.org/10.5539/mas.v9n5p314.

Nidhi, “Image Processing and Object Detection,” vol. 1, no. 9. International Journal of Applied Research (IJAR), Haryana, India, pp. 396–399, 2015, [Online]. Available: www.allresearchjournal.com.

R. W. Anggi Wahyu Triprasetyo, Danar Putra Pamungkas, “Aplikasi Pengenalan Pola Batik Trenggalek Menggunakan Deteksi Tepi Sobel Dan Algoritma K-,” Aplikasi Pengenalan Pola Batik Trenggalek Menggunakan Deteksi Tepi Sobel Dan Algoritma K- MeanS, vol. 2, no. 2. pp. 25–32, 2018.

J. W. Yodha and A. W. Kurniawan, “Pengenalan Motif Batik Menggunakan Deteksi Tepi Canny Dan K-Nearest Neighbor,” Techno.COM, vol. 13, no. 4, November. pp. 251–262, 2014.

V. E. Dökümcüoğlu and Mete Yilmaz, “Assessmentof Cell Counting Method Based on Image Processing fora Microalga Culture.pdf,” Mediterr. Fish. Aquac. Res., vol. 3, no. 2, pp. 75–81, 2020.

A. Qashlim, Basri, Haeruddin, I. Nurtanio, A. Ahmad Ilham, and A. Ilham, “Estimation of milkfish physical weighting as fishery industry support system using image processing technology,” in Journal of Physics: Conference Series, Jun. 2019, vol. 1175, no. 1, doi: 10.1088/1742-6596/1175/1/012029.

A. Wijayono and V. G. V. Putra, “Implementation Of Digital Image Processing And Computation Technology On Measurement And Testing Of Various Knit Fabric Parameters.” 2018, [Online]. Available: http://arxiv.org/abs/1810.06422.

S. Bahrum and Dalif Anwar, Tenunan Tradisional Sutra Mandar Di Sulawesi Barat, 1st ed. Direktorat Jenderal Nilai Budaya, Seni dan Film, 2009.

S. Yahya, “Mandar, Bentuk Dan Makna Motif Hias Sarung Sutra Mandar di Kecamatan Tinambung Kabupaten Polewali,” Universitas Negeri Makassar.

Downloads

Published

2022-02-16

Issue

Vol. 4 No. 2 (2021): September 2021

Section

Articles