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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Public Health Science (IJPHS) International Journal Administration, Business & Organization Budi Luhur Journal of Strategic and Global Studies
Abdul Saboor
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Health Professions Social Sciences Other

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Measuring Efficiency of Hospitals by DEA: An Empirical Evidence from Pakistan Syed Aziz Rasool; Abdul Saboor; Muhammad Raashid
International Journal of Public Health Science (IJPHS) Vol 3, No 2: June 2014
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (178.512 KB) | DOI: 10.11591/ijphs.v3i2.4684

Abstract

ABSTRACT There has been increasing focus on efficiency measurement in health sector around the world. This empirical study aims at measuring efficiency level of non-profit private organization by using Data Envelopment Analysis (DEA) in the health sector of Pakistan. DEA is non-parametric linear programming based approach for homogeneous decision making units. Layton Rehmatullah Benevolent Trust (non-profit private organization) will be subject matter for investigational analysis constituting over 16 sub-units spreading across the country. Secondary data of number of patient beds, specialists and nurses in all the 16 branches of LRBT hospitals will be used applying quantitative specification tool, both scale and technical efficiency levels in an environment where multiple of inputs and outputs are in place, will be used for final evaluation. The outcomes so expected will help policy makers to formulate effective plans and programs in order to enhance the efficiency of health measures conducted by non- profit private organizations. 
Multi-granularity tooth analysis via YOLO-based object detection models for effective tooth detection and classification AbuSalim, Samah; Zakaria, Nordin; Maqsood, Aarish; Saboor, Abdul; Kwang Hooi, Yew; Mokhtar, Norehan; Jadid Abdulkadir, Said
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp2081-2092

Abstract

Effective and intelligent methods to classify medical images, especially in dentistry, can assist in building automated intra-oral healthcare systems. Accurate detection and classification of teeth is the first step in this direction. However, the same class of teeth exhibits significant variations in surface appearance. Moreover, the complex geometrical structure poses challenges in learning discriminative features among the tooth classes. Due to these complex features, tooth classification is one of the challenging research domains in deep learning. To address the aforementioned issues, the presented study proposes discriminative local feature extraction at different granular levels using you only look once (YOLO) models. However, this necessitates a granular intra-oral image dataset. To facilitate this requirement, a dataset at three granular levels (two, four, and seven teeth classes) is developed. YOLOv5, YOLOv6, and YOLOv7 models were trained using 2,790 images. The results indicate superior performance of YOLOv6 for two-class classification achieving a mean average precision (mAP) value of 94%. However, as the granularity level is increased, the performance of YOLO models decreases. For, four and seven-class classification problems, the highest mAP value of 87% and 79% was achieved by YOLOv5 respectively. The results indicate that different levels of granularity play an important role in tooth detection and classification.
The Impact of Digitalization on Manufacturing Firms’ Competitiveness, Environmental Sustainability, and Social Inclusiveness Abbasi, Rashid Shabir; Saboor, Abdul; Azhar, Auns; Khan, Sajid
International Journal Administration, Business & Organization Vol 5 No 5 (2024): IJABO
Publisher : Asosiasi Ahli Administrasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61242/ijabo.24.427

Abstract

Manufacturing is a crucial driver of economic growth, contributing approximately 17% to global GDP. This research investigates the impact of digitalization on manufacturing firms' competitiveness, environmental sustainability, and social inclusiveness, using Canon Inc.’s operations globally as a case study. Existing literature underscores the transformative potential of digital economics in the manufacturing industry; however, a comprehensive exploration of its impact on sustainability remains to be explored in detail. Employing a mixed-methods approach and Systems Theory as a theoretical framework, data was gathered from Canon's sustainability reports, financial statements, and online sources, focusing on the years 1997 to 2018. The study analyzes the implementation of digital technologies and their effects on profitability and sustainability outcomes. The research results indicate positive results with sustainable firms able to beat the competition in the long-run, as demonstrated by Canon’s revenue of approximately $36 billion in 2018 alongside significant reductions in CO2 emissions by 435,000 tonnes and a reduction in raw material usage by 314,000 tonnes. Additionally, Canon’s social initiatives, such as the Miraisha Programme, underscore its commitment to inclusivity. This study highlights the multifaceted benefits of integrating digital technologies in manufacturing, offering insights for firms aiming to balance profitability with sustainability.
Promotion Strategies for Social Marketing for Utilization in the Creation of Health Promotion Awareness Programs: Case Study of Nottinghamshire, United Kingdom Saboor, Abdul; Taj, Imtiaz; Abbasi, Rashid Shabir; Rehman, Abdul
International Journal Administration, Business & Organization Vol 5 No 5 (2024): IJABO
Publisher : Asosiasi Ahli Administrasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61242/ijabo.24.434

Abstract

The worksite health promotion program addresses empirical research to bring decreased healthcare cost of the organization and improve overall flexibility of employees in following a healthy lifestyle. Thus, the interventions have to be planned and marketed in such a way that the detrimental impact generated because of an unfit labor force can be avoided. This study seeks to find out to what extent program coordinators will consider the social marketing promotional strategies in organizations in Nottinghamshire, United Kingdom. The data is collected from the 60 program controllers using the structured study. These findings thus showed that at least one of the four social media marketing techniques used (publicity, sales promotion, public relations, and advertising) was used by these program coordinators. Further, it is found that most of those coordinators of the program were not given training with social media marketing promotional strategies. However, usage of promotional strategy in the two different types of business has no noticeable gap. The result has though therefore suggested that facilitated training program to the program coordinators is necessary so that meaningful results can be achieved.
The Sustainable Waste Management Using Blockchain Technology in Asean Nations; Case Study of Indonesia Saboor, Abdul
Budi Luhur Journal of Strategic & Global Studies Vol. 2 No. 2 (2024): July
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/jsgs.v2i2.35

Abstract

Abstrak: Artikel ini membahas ruang lingkup dan keterbatasan pengelolaan limbah yang ada di negara-negara ASEAN, seperti tempat pembuangan sampah yang meluap dan infrastruktur yang lemah. Ini membahas teknologi blockchain untuk membantu meningkatkan transparansi, efisiensi, dan akuntabilitas. Artikel ini akan menyelidiki inefisiensi pengelolaan limbah, hambatan investasi, dan peran pendidikan publik dalam mengubah sikap ini. Informasi dalam artikel ini didasarkan pada analisis data sekunder, serta laporan statistik dan dokumen yang diperoleh dari berbagai sumber dokumen yang relevan. Artikel ini merekomendasikan kebijakan mengenai tata kelola limbah diterapkan menggunakan blockchain, kampanye kesadaran publik dan program percontohan untuk menguji kemanjurannya dalam mengubah pengelolaan limbah menjadi kegiatan yang layak untuk memenuhi SDGs.   Abstract: This article discusses the scope and limitations of waste management in ASEAN countries, such as overflowing landfills and weak infrastructure. It discusses blockchain technology to help improve transparency, efficiency, and accountability. This article will investigate the inefficiency of waste management, investment barriers, and the role of public education in changing these attitudes. The information in this article is based on secondary data analysis, statistical reports, and documents obtained from various relevant document sources. Finally, it would suggest that a policy regarding waste governance be implemented using blockchain, public awareness campaigns and pilot programs for testing its efficacy in transforming waste management into a viable activity to meet SDGs.
Co-Authors Abbasi, Rashid Shabir AbuSalim, Samah Azhar, Auns Jadid Abdulkadir, Said Kwang Hooi, Yew Maqsood, Aarish Mokhtar, Norehan Muhammad Raashid Rehman, Abdul Sajid Khan, Sajid Syed Aziz Rasool Taj, Imtiaz Zakaria, Nordin