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All Journal Bulletin of Electrical Engineering and Informatics Lentera Negeri
Nur Dalila Abdullah
Politeknik Muadzam Shah
Humanities Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Analysis of texture features for wood defect classification Nur Dalila Abdullah; Ummi Raba'ah Hashim; Sabrina Ahmad; Lizawati Salahuddin
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.861 KB) | DOI: 10.11591/eei.v9i1.1553

Abstract

Selecting important features in classifying wood defects remains a challenging issue to the automated visual inspection domain. This study aims to address the extraction and analysis of features based on statistical texture on images of wood defects. A series of procedures including feature extraction using the Grey Level Dependence Matrix (GLDM) and feature analysis were executed in order to investigate the appropriate displacement and quantisation parameters that could significantly classify wood defects. Samples were taken from the KembangSemangkuk (KSK), Meranti and Merbau wood species. Findings from visual analysis and classification accuracy measures suggest that the feature set with the displacement parameter, d=2, and quantisation level, q=128, shows the highest classification accuracy. However, to achieve less computational cost, the feature set with quantisation level, q=32, shows acceptable performance in terms of classification accuracy.
The study of information accessibility levels in obtaining industrial training placements among PMS students Fazilah Ismail; Nur Dalila Abdullah; Mohd Shahfudin Mohd Hatta
Lentera Negeri Vol. 5 No. 2 (2024): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/991290

Abstract

This study focuses on the feedback of Muadzam Shah Polytechnic students on the level of information accessibility to obtain industrial training places. Industrial Training (LI) is the process by which students are placed in an organization to complete hands-on training under the guidance of a designated industrial supervisor. This placement can take place domestically or overseas, depending on the student's field, and it must be completed within a time frame specified by the institution that grants the Certificate, Diploma, or Degree. A systematic random sample consisting of 149 Muadzam Shah Polytechnic final semester students and students receiving industrial training was employed in this study. The Muadzam Shah Polytechnic Industrial Training Unit cooperated in the development of the questionnaire, which was then used as a tool to be given online to a random sample of students. The analysis of the study was conducted using SPSS version 29 software, which found that centralized information mediums for students are crucial in ensuring the efficiency of the industrial training placement application process, as well as reducing the percentage of students who fail to secure training placements within the institution's specified timeframe.
Co-Authors Fazilah Ismail Lizawati Salahuddin Mohd Shahfudin Mohd Hatta Sabrina Ahmad Ummi Raba'ah Hashim