Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal LLT Journal: A Journal on Language and Language Teaching Indonesian Journal of Science, Technology, and Humanities
Islam, Musfikul
Unknown Affiliation
Religion Arts Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PROBLEMS REGARDING CLT IMPLEMENTATION AT HIGHER SECONDARY LEVEL: A CASE STUDY IN BOTH URBAN AND RURAL AREAS IN BANGLADESH.   Islam, Musfikul
LLT Journal: A Journal on Language and Language Teaching Vol 24, No 2 (2021): October 2021
Publisher : English Education Study Programme of Sanata Dharma University, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/llt.v24i2.3266

Abstract

This article tries to find out the explanations behind the implementation of CLT approach in the higher secondary level and attempts to produce a real data of CLT implementation in both rural and urban areas in Bangladesh. It also looks at the factors that make this teaching approach difficult to implement. This study examined both teachers’ and students’ perceptions, opinions, and perspectives of the English language at the higher secondary level. To achieve the objectives of the study, a mixed-method approach has been undertaken to conduct the methodology of the study where a range of methods such as Questionnaire, Interview and Classroom Observation Checklist have been used. The outcomes reveal various types of obstacles which are: a huge number of students in CLT classroom, small size of classroom, insufficiency of modern materials. It also disclosed that maximum students are not able to understand the English lecture in the classroom, teachers are not trained to maintain the classroom by following CLT method and some of the trained teachers are refused to apply CLT approach as well. Based on the findings, this study tries to propose some processes for reversing the current situation that is happening at present within the educational system in Bangladesh.
Leveraging Artificial Intelligence and Data Science for Enhancing Occupational Safety: A Multidisciplinary Approach to Risk Prediction and Hazard Mitigation in the Workplace Islam, Musfikul; Gospel Effiong Isangadighi; Obahor, Gabriel
Indonesian Journal of Science, Technology and Humanities Vol. 3 No. 1 (2025): IJSTECH - June 2025
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/ijstech.v3i1.1297

Abstract

 In the mining business of Kogi State, the safety system has been weak, thus exposing the workforce to severe occupational hazards. In this research, Artificial intelligence (AI) was used to forecast work-related harms and aid in advance safety planning. Researchers compared data gathered from 1,200 miners and environmental sensors (PM2.5, CO, noise, temperature, and vibration) with institutional accident records from five years (2019-2024) using supervised models, including Random Forest, Support Vector Machine (SVM), Artificial Neural Network (ANN), and Decision Tree. Random Forest reached the highest accuracy of 91.3%, precision of 0.92, recall of 0.87, F1-score of 0.89, and AUC-ROC of 0.94. Important predictors included exposure to PM2.5 (0.118), use of PPE (0.105), noise (0.098), job role (0.093), and levels of CO (0.089). Excessive hazard levels: PM2.5: 109ug/m+ (WHO standard: 25ug/m3), noise: 89.2dB (OSHA standard: 85dB). There was the greatest risk to afternoon shifts and underground drillers. It is the first validated AI-based model of mining safety in Nigeria, which allows for making the risk forecast in real-time. The research suggests the mandatory environmental surveillance, the adoption of AI systems, and predictive analytics in occupational safety policy at the sub-Saharan Africa level.
Co-Authors Gospel Effiong Isangadighi Obahor, Gabriel