Unlocking the Barriers of Household Waste Recycling in Seremban, Malaysia

This preliminary study investigates the barriers inhibiting effective household waste recycling in Seremban, Malaysia. Data was gathered from 101 households using a structured Google Form questionnaire over two months. Seven barriers were identified, with limited access to recycling facilities, lack of awareness, and inconvenient collection schedules among the most prominent. Quantitative statistical methods were employed to analyze the data, revealing mean scores and skewness for each barrier. The results of this initial investigation will serve as a foundation for a more comprehensive study employing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to analyze complex interrelationships between barriers. Keywords: waste recycling; household; Seremban; Dematel eISSN: 2398-4287 © 2023. The Authors. Published for AMER and cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), and cE-Bs (Centre for Environment-Behaviour Studies), College of Built Environment, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/e-bpj.v8iSI15.506

Exploring Barriers to Adoption of Halal Certification among Restaurant Owners in Seremban, Malaysia

This preliminary study seeks to gain initial insights into the barriers encountered by restaurant owners in Seremban, Malaysia, regarding the adoption of halal certification. The research, which precedes a more comprehensive DEMATEL (Decision-Making Trial and Evaluation Laboratory) analysis, employs a quantitative approach and data collected through Google Forms from a limited sample of 26 restaurant owners. The findings highlight four primary barriers: cost, lack of awareness, procedural complexities, and insufficient government support. Notably, this study does not aim for exhaustive conclusions but serves as a foundational exploration, offering valuable perspectives for further investigation. The outcomes will be instrumental in advancing our understanding of halal certification adoption among restaurant proprietors in Seremban, ultimately facilitating more in-depth analyses and strategic solutions

Towards Sustainable City: A Covering Model for Recycling Facility Location-allocation in Nilai, Malaysia

Sustainable waste management is essential for any nation. To limit the amount of waste transported to landfills, it is critical to handle waste properly, notably by segregating recyclables from discarded waste. Waste separation at the source is critical to ensure that generated waste is not completely directed to landfill. The practice of waste separation would initiate the recycling process, which is able to reduce the amount of waste sent to the landfill. Recycling is critical to the achievement of two Sustainable Development Goals (SDGs), 11 and 12, for which Malaysian government has set the goal for recycling rates to reach 40% by 2025 in 2022, the rate has reached 33.17%. In Malaysia, recyclables are either collected on-site or sent to a designated facility. The separation at source activity is essential for developing recycling practices. Despite being the largest waste generator, public engagement, particularly at the household level, has remained low, most likely due to recycling facility availability and accessibility issues. Thus, improving public access to the facility would lead to increased recycling rates. In this study, a mixed integer linear programming model is proposed to locate recycling facilities in optimal locations that cover the most amount of waste generated by households. The capacity level is induced to ensure that the dropped-off recyclables are proportionate at the designated facility locations. Several experiments were conducted for validity purposes, and the proposed model was applied in a Malaysian urban area, namely Nilai. As a result, the proposed model was able to locate the optimal locations with the requisite capacity level while ensuring coverage for most Nilai households

Revolutionizing Multi-Criteria Decision Making with the Triangular Fuzzy Geometry Bonferroni Mean Operator (TFGBM)

This study investigates the Multi-Criteria Decision Making (MCDM) topic to address the complexities of decision processes involving ambiguous information. We introduce the Triangular Fuzzy Geometric Bonferroni Mean (TFGBM) operator, a novel aggregation technique inspired by the Geometric Bonferroni Mean(GBM)concept. This operator is intended to aggregate triangular fuzzy numbers within MCDM problems effectively. We thoroughly investigate the properties of TFGBM and its distinct forms to ensure its practicalutility. We introduce the Triangular Fuzzy Geometric Weighted Bonferroni Mean (TFGWBM) operator to accommodate situations where input factors have variable degrees of significance. Based on this foundation, we present a comprehensive framework fordecision-making involving multiple attributes in ambiguous triangular fuzzy environments. A relevant case study regarding selectingan optimal location for a Halal center demonstrates the efficacy and applicability of our methodology. We emphasize the tangibility and efficiency of the suggested methodology in improving decision-making processes by emphasizing this real-world application