Jurnal Riset Teknologi Pencegahan Pencemaran Industri

Assessment of Solar Orientation and Shading Devices in Reducing Cooling Loads in Educational Buildings

Sarina Julien Binti — 2025-11-28

This study assesses the effectiveness of solar orientation and shading devices in reducing cooling loads in educational buildings through a qualitative literature review approach. As educational facilities are significant energy consumers, especially in hot climates, optimizing building orientation and integrating passive shading strategies are crucial for enhancing energy efficiency and thermal comfort. The literature indicates that building orientation significantly influences solar heat gain, with north-facing orientations generally resulting in lower internal temperatures and reduced cooling demands compared to east or west-facing layouts. Shading devices, including fixed external shades and optimized window-to-wall ratios, further mitigate direct solar radiation, contributing to notable reductions in annual energy consumption. Studies reviewed demonstrate that the combination of optimal orientation and well-designed shading can decrease cooling loads by 11% to 23%, and overall energy use by up to 44%. However, the effectiveness of shading devices depends on their design, placement, and integration with other passive strategies. While fixed shading reduces solar gains, occasional glare and insufficient daylight distribution may persist, indicating the need for a holistic design approach. The findings underscore the importance of integrating solar orientation and shading devices in the early design phase of educational buildings to achieve sustainable, energy-efficient, and comfortable learning environments. This research provides valuable insights for architects, planners, and policymakers seeking to implement best practices in sustainable school design, particularly in regions with high cooling demands.

Optimization of Biofiltration Techniques for Reducing Heavy Metal Contamination in Urban Wastewater

Retno Susetyaningsih — 2025-11-11

This study focuses on optimizing biofiltration techniques to mitigate heavy metal contamination in urban wastewater. The increasing presence of heavy metals in wastewater, particularly in urban environments, poses a significant threat to both human health and ecosystem stability. Biofiltration, a natural remediation process utilizing living organisms, has gained attention as an effective method for removing heavy metals from contaminated water. The research combines experimental analysis with a comprehensive literature review to evaluate and enhance the performance of various biofiltration systems. By examining the influence of different variables, such as plant species, soil composition, flow rate, and pollutant concentration, on the efficiency of heavy metal removal, this study provides a broad perspective on the potential applications of biofiltration. Experimental analysis of biofilter setups demonstrated that specific plant-microbe interactions and substrate types significantly enhance the absorption and accumulation of toxic metals. The literature review further supports these findings by summarizing past studies and providing insights into existing biofiltration techniques, their effectiveness, and limitations. The study's findings indicate that optimized biofiltration can serve as a sustainable and cost-effective solution for urban wastewater management. By providing a detailed understanding of how biofilters can be adapted and scaled for urban applications, the research contributes to the development of environmentally friendly wastewater treatment technologies. The results underscore the importance of integrating biofiltration systems into urban water management strategies for improving water quality and reducing environmental pollution.

Analysis of Water Losses in the Jimat Irrigation Area, Wonosobo Regency

Nasyiin Faqih — 2025-12-01

This study aims to analyze the actual irrigation water losses in the Jimat Irrigation Area, identify the factors causing irrigation water losses, and determine effective strategies to reduce water losses in the area. One of the important irrigation areas in this region is the Jimat Irrigation Area, which supplies water to 110 hectares of agricultural land. However, the effectiveness of water distribution is often hampered by significant water losses. The research methods used are descriptive evaluative and quantitative descriptive analysis. The descriptive evaluative method describes a study that evaluates the actual conditions of the study object. Meanwhile, the quantitative descriptive analysis method aims to accurately describe the characteristics of the study object.Based on the analysis and calculations, the Jimat Irrigation Area requires an actual irrigation water supply of 0.812 m³/second to serve its four tertiary canals, with the highest allocation going to Tertiary Channel 2 (0.465 m³/second) and the lowest to Tertiary Channel 4 (0.084 m³/second). However, only 54% of the initial discharge of the primary canal (1.702 m³/second at the Upstream Intake) actually reaches the agricultural land. A total of 46% of the water (0.686 m³/second) is lost along the primary network, with seepage accounting for 99.94% of the water loss, particularly in critical sections such as Primary Channel V, which lost 59% of its discharge. Meanwhile, the contribution of evaporation is minimal (0.06%) due to the limited water surface area and low daily evaporation rate (2.76 mm/day).

Optimizing Transmission Line Operation and Maintenance for Better Stability of Power Systems in Rural Areas

Yurika Yurika — 2025-11-08

The efficient operation and maintenance of transmission lines play a critical role in ensuring the stability of power systems, particularly in rural areas where infrastructure challenges and limited resources are prevalent. This study explores strategies for optimizing transmission line operations and maintenance to improve the overall stability and reliability of power supply in rural regions. Given the unique challenges posed by geographical remoteness, harsh environmental conditions, and financial constraints, it is essential to develop tailored approaches that enhance the performance of transmission lines while minimizing downtime and operational costs. The research employs a combination of advanced monitoring systems, predictive maintenance techniques, and localized repair strategies to address these challenges. Through data analysis and case studies from rural power systems, the study identifies key factors influencing the reliability of transmission lines, including environmental impact, maintenance scheduling, and infrastructure resilience. The findings suggest that the integration of smart grid technologies and condition-based monitoring can significantly reduce power interruptions, enhance fault detection capabilities, and optimize resource allocation for maintenance activities. Moreover, the study proposes a set of best practices for rural transmission line management, focusing on cost-effective solutions without compromising system stability. This research contributes to the development of sustainable power systems in rural areas, ensuring that power reliability is enhanced, operational costs are minimized, and long-term stability is achieved.