Industrial and Domestic Waste Management

Irrigation Modernization Readiness in Environmental Quality Management Framework: Case Study of Range Irrigation, West Java

2025-12-31T07:06:29+00:00

The quality of irrigation projects in supporting sustainable development was achieved through modernization in aspects of technology, information, irrigation system management, and governance. This study aimed to develop a measurement model to evaluate irrigation modernization in supporting the quality of irrigation system management. The study was conducted in two stages. The first stage involved developing a measurement tool based on a literature review. The second stage involved testing the measurement tool to evaluate the modernization of irrigation network quality using a case study of the Rentang Irrigation Area in West Java. The evaluation was based on the preferences of staff from 14 construction service providers involved in the Rentang irrigation network improvement project. Data were analyzed using Confirmatory Factor Analysis (CFA) and multiple linear regression analysis. The results identified several important elements in the modernization of irrigation network quality, including the quality of water supply reliability, irrigation infrastructure, irrigation management systems, irrigation management institutions, and human resources. The modernization of irrigation network quality comprising improvements in water supply reliability, irrigation network reliability, irrigation management systems, irrigation management institutions, and human resources, had a positive effect on irrigation system performance. The findings provide implications for developing an irrigation modernization readiness model within a quality management framework.

Assessment of Microbial Contaminants and Antibiotic Susceptibility Patterns of Water Tank Samples from Selected Hostels in Ifite-Awka, Nigeria

2025-08-28T00:54:58+00:00

This research assessed the microbial qualities and antibiotic susceptibility of bacterial isolates from water tank samples collected from ten hostels in Ifite-Awka, Nigeria. The samples were cultured on nutrient agar and Sabouraud dextrose agar, and morphological, biochemical, as well as microscopic analyses were carried out. The bacterial isolates included Staphylococcus aureus, Escherichia coli, Salmonella typhi, Bacillus cereus, and Bacillus subtilis. The fungal isolates included Mucor spp., Aspergillus niger, and Penicillium spp. The colonies ranged from 84 to 234 CFU/ml. Across all species, Levofloxacin and Pefloxacin demonstrated the highest activity, indicating broad-spectrum effectiveness. The poorest results were observed with Rifampicin and Gentamicin, as most isolates exhibited complete resistance. The resistance of coliforms such as E. coli and Salmonella typhi to some β-lactams suggested a potential case of antibiotic misuse within the community. Bacillus cereus exhibited the broadest resistance profile. In the fungal analysis, Mucor spp. was the most common (40%), while Aspergillus niger and Penicillium spp. each accounted for 30%. The presence of coliforms in 45% of the samples indicated poor hygiene and placed people’s health in jeopardy. The lack of routine water tank sanitation and consistent bacterial monitoring in the Awka region was particularly concerning given the presence of pathogenic bacteria and toxin-producing fungi. This research highlighted the importance of strict hygiene practices together with efficient cleaning techniques for water tanks in order to reduce microbial contaminants and coliform bacteria.

Assessing Waste Management and Green Technology Adoption in Enhancing Sustainable Tourism at Jabal Arafah Mosque Batam Indonesia

2025-12-25T01:38:28+00:00

The rapid growth of religious tourism contributed to increased economic and social activities but also created environmental pressures, particularly related to increased waste volume and resource use in spiritually based tourist destinations. Jabal Arafah Mosque (MJA) in Batam City, as an icon of religious tourism, faced challenges in maintaining environmental sustainability due to the high intensity of visits. In contrast, empirical studies integrating waste management and the adoption of green technology within religious tourism were still limited. This study aimed to analyse the partial and simultaneous effects of waste management implementation and green technology adoption on sustainable tourism performance at MJA. The study used a quantitative, causal-associative design involving 50 respondents, including managers, operational officers, stakeholders, traders, and visitors. Data collection was carried out using a structured questionnaire, and the data were analysed using multiple linear regression in SPSS. The analysis results showed that the implementation of waste management (β = 0.562; p < 0.001) and the adoption of green technology (β = 0.368; p = 0.005) had positive and significant effects on sustainable tourism performance, with waste management as the dominant variable. The model explained 75.8% of the variation in sustainable tourism performance (R² = 0.758). These findings confirmed that strengthening a structured waste management system, supported by the implementation of green technology, was a key strategy for improving environmental sustainability and the quality of management of religious tourism destinations.

Designing a Finished Goods Warehouse Management System to Reduce Paper Waste Using the Framework for the Application of System Thinking: A Case Study at PT XYZ

2025-12-25T01:38:30+00:00

Digital transformation in Indonesia's manufacturing sector has accelerated the adoption of warehouse management systems, with the automated warehouse market projected to grow from USD 25.6 billion in 2025 to USD 54.3 billion in 2031. Traditional paper-based warehouse operations created inefficiencies, environmental degradation, and operational challenges, including poor traceability, coordination gaps, and significant paper waste. This research aimed to design a comprehensive Finished Goods Warehouse Management System integrated with Outgoing Quality Control (OQC) functionality to address operational challenges at PT. XYZ, including limited human resources, inconsistent inspection duration, inadequate location tracking, and excessive paper consumption of approximately 200 sheets per month. The study employed a qualitative case study approach using the Framework for the Application of System Thinking (FAST) methodology, encompassing Scope Definition, Problem Analysis, Requirements Analysis, and Logical Design phases. The PIECES framework was used to evaluate system feasibility across Performance, Information, Economics, Control, Efficiency, and Service dimensions. Data collection involved observation, semi-structured interviews with warehouse administrators, quality control staff, OQC personnel, and production planning and inventory control (PPIC) staff, along with document review. The research produced comprehensive system models, including use case diagrams, activity diagrams, sequence diagrams, Entity Relationship Diagrams, Data Flow Diagrams, and user interface prototypes. The designed system integrated real-time status updates, automatic blocking mechanisms, barcode scanning technology, digital inspection forms with AQL-based auto-calculation, and complete traceability throughout the supply chain.The integrated WMS design provided practical solutions for improving operational efficiency, eliminating paper waste, ensuring product quality through mandatory quality control integration, and supporting sustainable manufacturing practices in the plastic injection molding industry.

Digital Lifestyle and Food Waste Behavior: The Role of Camera Eats First in Cafes and Restaurants in Batam City, Indonesia

2025-11-13T05:27:31+00:00

Camera eat first referred to the habit of photographing food before consumption for sharing on social media. This phenomenon drove shifts in consumer behavior, potentially leading to increased food waste. The objective of this study was to analyze the influence of attitude, emotion, and perceived behavioral control on food waste behavior, with camera eat first included as a mediating variable. A quantitative approach was employed, involving a sample of 340 respondents who were visitors to cafés and restaurants in the Harbour Bay area of Batam. Data were collected using a five-point Likert scale questionnaire and analyzed through Structural Equation Modeling–Partial Least Squares (SEM-PLS) using SmartPLS software, as well as Fuzzy-Set Qualitative Comparative Analysis (fsQCA). The findings revealed that emotions and perceived behavioral control exerted a positive and significant effect on food waste behavior, whereas attitude and camera eat first did not show significant influence. Furthermore, camera eat first was not confirmed as a mediator in the relationships among the studied variables. Complementary results from fsQCA highlighted that the combination of attitude, emotion, and perceived behavioral control constituted the most consistent configuration in explaining food waste behavior. Overall, the study concluded that food waste behavior was more strongly shaped by internal psychological factors than by digital lifestyle trends. Consequently, strategies to reduce food waste should prioritize strengthening self-control, enhancing emotional awareness, and promoting responsible consumption practices, while also accounting for the dynamics of social media engagement in contemporary society.

Optimization of Manufacturing-Remanufacturing Model in Circular Supply Chain Considering Warehouse Capacity Constraints by Using Chinese Pangolin Optimizer Algorithm

2025-11-13T05:27:32+00:00

This research developed an optimization model within a circular supply chain framework incorporating factors such as carbon emissions, social sustainability, and warehouse capacity limitations. The model adopted a modified Economic Order Quantity (EOQ) approach, with a comprehensive cost assessment that included production cost, remanufacturing cost, storage cost, disposal cost, and penalty cost for emissions, all formulated within a Mixed Integer Nonlinear Programming (MINLP) structure. To address the complex nonlinear problem, the metaheuristic Chinese Pangolin Optimizer (CPO) algorithm was applied, as it effectively balanced solution exploration and exploitation. The simulation results indicated the optimal combination of production lot size, remanufacturing, and the share of reusable goods, achieving the minimum total system cost. The sensitivity analysis showed the significant influence of production and remanufacturing costs, emissions, and the rate of product returns on system efficiency. Overall, this research demonstrated more credible, cost-efficient, and sustainable inventory control approaches in a circular supply chain by considering warehouse constraints and applying the CPO.

A Sustainable Sugarcane Bagasse Biochar–Bentonite Composite for Peroxide Value Reduction in Used Cooking Oil

2025-12-25T01:38:27+00:00

Used cooking oil underwent thermal and oxidative degradation due to repeated heating, resulting in increased peroxide levels and producing rancid odors, discoloration, and potential toxicity. In this study, the initial peroxide value of the used cooking oil was 56.42 meq O₂/kg, indicating significant oxidative degradation. The study evaluated the ability of activated sugarcane bagasse-bentonite (ASBB) and non-activated (SBB) composites to reduce peroxide values. Characterization was performed using SEM-EDX and FTIR, while adsorption efficiency was tested by varying the adsorbent dose (2–10 g) and treatment time (0–180 minutes). Peroxide reduction was analyzed using iodometric titration. The results showed that ASBB was more effective, with 10 g of ASBB and 180 minutes of treatment reducing the peroxide value by up to 82.3–84.5%.

Multi-Actor Governance of Waste-to-Energy: A Case Study of the Putri Cempo Waste-to-Energy Power Plant in Surakarta City

2025-12-31T07:06:30+00:00

This research examined the dynamics of governance in waste management through a case study of the Putri Cempo waste-to-energy (WTE) power plant. The growing volume of global waste has driven the need for multi-level governance to advance WTE technology. The application of WTE technology became part of the national commitment to climate change mitigation outlined in the Nationally Determined Contribution (NDC) framework. The development of WTE also contributed to the attainment of several Sustainable Development Goals (SDGs), notably SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action), by providing renewable energy and reducing greenhouse gas emissions. The main focus was to analyse how multi-actor governance was implemented in WTE management practices at the local level, as well as the challenges that arose in ensuring operational sustainability. Employing a descriptive qualitative approach, this study adopted a multi-actor and institutional governance perspective and applied Biermann’s Five A’s concept, architecture, agency, adaptiveness, accountability, and allocation, as the analytical framework for mapping the governance situation of the Putri Cempo WTE facility. The findings indicated that despite regulatory support, including Presidential Regulation No. 35 of 2018 and Indonesia’s enhanced NDC targets, the implementation of the Putri Cempo WTE still faced technical challenges, particularly high moisture content specifications and inadequate waste sorting, which disrupted the gasification process. In addition, the surrounding community reported environmental problems. Increasing technical capacity, developing an effective waste-sorting system, and ensuring more transparent environmental monitoring by managers and supervisors were needed to support the long-term sustainability of waste-to-energy power plant operations.

A Multi-Stakeholder Collaboration Model in Sustainable Agricultural Waste Management: A Case Study Supporting Organic Farming in Bali

2025-12-03T00:49:20+00:00

Agricultural waste management in Bali faced complex challenges due to various obstacles in the transition to sustainable organic agriculture. This research focused on collaborative models among stakeholders involved in agricultural waste management. The aim of this research was to explore collaborative models for stakeholders in agricultural waste management that aligned with the journey towards organic farming. This research used a qualitative descriptive method, including a literature review and field observations to identify challenges and opportunities. The results indicated that the Sustainable Organic Circle Model could improve waste management efficiency, reduce greenhouse gas emissions, and enhance soil fertility. The issue of agricultural waste in Bali (rice straw, horticultural waste, livestock waste) was the most critical, but at the same time, it had great potential for sustainability, particularly through composting, animal feed, and biogas production. Current practices were still dominated by crop residue burning due to a lack of knowledge, facilities, and financial constraints. The Integrated Farming System Program and collaboration among stakeholders (including government, NGOs, and academics) were ongoing, but still faced challenges such as limited farmer knowledge and unintegrated policies.

Analysis of the Impact of Skywalker Drone Battery Waste Management on the Environment Using Linear Programming Method

2025-08-04T07:42:33+00:00

The disposal of lithium-based drone batteries presents a significant environmental challenge due to the presence of heavy metals and hazardous substances. Effective management strategies are essential to reduce pollution and mitigate operational risks associated with improper handling. This study proposes an optimal waste management strategy for Skywalker drone batteries using a Linear Programming (LP) approach. The model incorporates three waste management options: recycling, temporary storage, and final disposal. It also accounts for facility capacity limitations, environmental regulations, and cost constraints. The simulation results demonstrate that the LP model provides an optimal waste allocation scheme. Compared to conventional waste management methods, the LP-based strategy reduces environmental impact and achieves higher cost efficiency. The findings highlight the effectiveness of LP modeling as a decision-support tool for waste management planning. The study recommends the adoption of an LP-based integrated management framework to support future environmental and operational decisions in drone technology.