Tobacco Science and Technology
Tobacco Science and Technology is a peer reviewed journal since 2013 up to now. The journal is monthly publishing journal.The main scope of Tobacco Science and Technology) is Agricultural engineering/Agricultural science, Biological Engineering/ Biological science, bio-chemistry, chemistry, public health, pharmaceutical science and so on. Our journal welcome original papers from everywhere in the world.
Volume 58 , Issue 04
20 Nov 2025SUBMISSION DEADLINE
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Volume - 58 , Issue 04
30 Nov 2025PUBLISH ON
AIM AND SCOPES
Tobacco Science and Technology
Agricultural engineering
Agricultural science
Biological Engineering
Biological science
bio-chemistry
chemistry
public health
pharmaceutical science
All Published Jurnal
Tobacco Science and Technology
Assumptions for Structural Equation Modeling (SEM), Analysis of Data Distribution Normality, and Model Fit Evaluation
Structural Equation Modeling (SEM) is a prominent research methodology widely employed in various fields. Before diving into data analysis, it is essential to outline the core principles, criteria, assumptions, and concepts of SEM. In this study, SEM is utilized to assess assumptions related to normality, missing data, and the measurement of sampling errors. Confirmatory Factor Analysis (CFA) is a key step in evaluating the model's fit with the data. CFA begins with a hypothesized model that specifies the expected number of latent factors, and the indicator variables associated with each facto
A Review of Malaysia’s Private Healthcare-Strategic Digital Marketing Analysis
This case study analyzes the digital marketing strategies of Sunway Healthcare Group (SHG), a leading private healthcare provider in Malaysia. Founded in 1999 with its flagship hospital in Sunway City Kuala Lumpur, SHG has grown to include multiple facilities nationwide and serves patients from over 170 countries. The study highlights SHG’s effective use of digital platforms: Facebook and Instagram for targeted ads, interactive content, and patient testimonials; Twitter for real-time updates and health tips; LinkedIn for professional insights and company achievements; and TikTok for engaging
Smart Solutions: Transforming Pest Control with AI for Urban Growth, Health, and Sustainability in Agriculture
The pest control market is experiencing rapid growth, driven by increasing urbanization, heightened health concerns, and a growing emphasis on hygiene practices. As cities expand and populations rise, the demand for effective pest control solutions continues to surge, with projections indicating the market will reach USD 38.6 billion by 2030, growing at a compound annual growth rate (CAGR) of 5.2%. The review systematically examines the current trends, challenges, and opportunities within the pest control industry, with a particular focus on advancements like Integrated Pest Management (IPM) a
Boosting Musang King Durian's Global Growth: The Power of Sustainability and AI Innovation
The durian industry in Malaysia, as a major global producer and exporter of the "King of Fruits," plays a crucial role in local and international agriculture. However, it faces challenges from climate change and the need for sustainable agricultural practices to remain competitive. The review investigates how sustainable farming practices and technological innovations, such as AI and genetic advancements, can help mitigate the impacts of climate change and enhance productivity within the durian sector. It examines the role of these innovations in crop yield improvement, disease management, and
Revolutionizing Waste Management with AI: Innovations, Strategies, and Future Directions for a Sustainable Circular Economy
The integration of artificial intelligence (AI) in waste management is revolutionizing the sector, enhancing sustainability and operational efficiency across various domains, such as municipal, industrial, and wastewater treatment. Despite AI's potential, challenges such as outdated infrastructure, manual labor reliance, and the lack of integration with complementary technologies like IoT and blockchain impede its widespread adoption. The review aims to explore the role of AI in optimizing waste collection, sorting, and resource recovery, focusing on technologies like machine learning, predict