Article Per Year (5 Year)
p-Index From 2021 - 2026
0.659
P-Index
This Author published in this journals
All Journal Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Keteknikan dan Sains (JUTEKS) CARADDE: Jurnal Pengabdian Kepada Masyarakat Journal Peqguruang: Conference Series Jurnal Sisfotek Global JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat
Akhmad Qashlim
universitas al asyariah mandar
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
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 Abdul Asis Aco Dahrul Alwi Qadri Andi Emil Multazam Andriani Andriani Andriani Andriani Basri Basri Jumain Jumain Mamat Mamat Mawardi Marwan Muhajir Muhajir Muhammad Assidiq Muhammad Sarjan Muslimin Muslimin Padli Padli Piansar Piansar Rosmawati Tamin St. Khadija Syarli Ul Khairat