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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Sisfotek Global
Andi Emil Multazam
Universitas Al Asyariah Mandar
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering

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Image Processing Technology for Motif Recognition Mandar Silk Fabric Android Based Andi Emil Multazam; Akhmad Qashlim; UL Khairat
Indonesian Journal of Artificial Intelligence and Data Mining Vol 4, No 2 (2021): September 2021
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v4i2.14470

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.
Image Processing Technology in Book Metadata Extraction System Using Optical Character Recognition (OCR) Andi Emil Multazam; Akhmad Qashlim; Muhammad Sarjan
JURNAL SISFOTEK GLOBAL Vol 13, No 1 (2023): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v13i1.865

Abstract

Extracting book metadata by retyping the identity of the book, such as the author's name, book title, publisher, and several other identities, is a routine that is carried out repeatedly at the Polewali Mandar district library, this activity takes much of time, using several staff and it turns out that this activity has much potential for input errors. Errors in extracting book metadata will result in errors in the book repository system database, resulting in difficulty finding and using books or book data information. This problem can be solved by creating a book metadata extraction system using image processing technology and OCR. This study aims to design a scanner technology to extract book metadata. Accuracy is carried out in 2 stages, the first validation of image extraction results using the ROC method and the second validation by directly matching the result of extracting the book's metadata with the actual book. The results of this study indicate that the system has worked with an accuracy of 98.78% with an average detection time of 1.49 seconds and has succeeded in presenting the extraction results on the website page. Thus the metadata extraction system with the OCR method can be applied to libraries to input book data.
Co-Authors Akhmad Qashlim Muhammad Sarjan Ul Khairat