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Applied Environmental Science
Published by Institute for Advanced Science, Social, and Sustainable Future
ISSN : -     EISSN : 30250412     DOI : -
Core Subject : Education, Social,
Environmental Science Other
Applied Environmental Science (AES) adalah jurnal ilmiah yang didedikasikan untuk mendukung diskusi dan inovasi di bidang ilmu lingkungan, termasuk praktik dan studi kasus yang bertujuan untuk mewujudkan keberlanjutan lingkungan. AES berkomitmen untuk mempublikasikan jurnal yang tidak hanya kuat secara substansial akademis atau teori namun juga menghasilkan jurnal berisi rekomendasi kebijakan yang aplikatif.
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Ilmu Lingkungan (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 2: (January) 2026" : 5 Documents clear
Dynamics of surface water resource management towards fulfilling agricultural irrigation Sani, Inuwa Sani; Taqyuddin; Naabba, Aliyu Hassan
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2036

Abstract

Background: The dynamics of surface water resources and their influence on agriculture irrigation in Kano State, Nigeria, 2015-2025, are displayed in this research. This study aims to examine the influence of surface water availability changes on irrigation potential in semi-arid catchment. With looming uncertainty concerning water scarcity, particularly in Northern Nigeria, spatial-temporal dynamics of the surface water are critical to sustainable agriculture planning. Current studies have used satellite-based indices to monitor changes in water bodies and emphasized that such changes must be associated with climatic factors and land use patterns for irrigation development decision-making. Methods: Remote sensing data, including Normalized Difference Water Index (NDWI) from Landsat and Sentinel data, and rainfall data from the CHIRPS dataset, were used for the study. Spatiotemporal modeling methodology was used that included NDWI trend analysis, NDWI–rainfall relation, overlay with cover of cultivated land, and zonal statistics at the Local Government Area (LGA) level. Findings: Findings show that there is general surface wetness expansion in the southern and central regions of Kano State owing to enhanced irrigation activities, heightened water holding capacity, and possible aquifer recharge. Conclusion: The study concludes that water resource management in Kano must be specially crafted to overcome localized climatic stress conditions and spatial hydrological imbalance to facilitate sustainable irrigation under semi-arid conditions.Ground-truth verification is however absent, which limits the accuracy of surface wetness estimates, and future incorporation of field-based hydrological observations is recommended. The findings present actionable advice for policymakers on improving irrigation strategy formulation and adaptive water management in semi-arid climates. Novelty/Originality of this article: This research integrates satellite-based NDWI for the first time with rain anomaly and land use overlays to determine water body dynamics and their agricultural implications at sub-regional scales.
Smart biogas: An independent energy system based on organic waste integrated with IoT Asminar; Djohar, Abdul; Rifaldi, Syahran; Rifki; Raswadi, Muhammad Adam; Sadewa, Arya
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2375

Abstract

Background: Indonesia faces substantial challenges in waste management, as most organic waste remains untreated. A similar situation occurs in Kendari City, which generates approximately 253 tons of waste per day, the majority of which consists of organic materials. This condition reflects the untapped potential of renewable energy derived from organic waste, thereby necessitating the development of an effective system to address these issues comprehensively. Methods: This study employed a descriptive research method with a case study approach. The data analyzed encompassed the volume and composition of organic waste in Kendari City. The findings served as the foundation for designing a Smart Biogas system integrated with the Internet of Things (IoT). The system incorporates sensors to monitor temperature, pressure, and methane concentration in real time and is connected to an application that enables remote monitoring and control. Findings: The study revealed that the potential biogas production from organic waste in Kendari City could reach approximately 5,650 m³ per day. This volume demonstrates significant potential to meet a portion of the local energy demand. By adopting a communal-based system design, the utilization of biogas can be optimized, particularly to support energy needs at the sub-district level. Conclusion: The results indicate that the implementation of the Smart Biogas system can not only reduce the volume of organic waste but also provide a sustainable energy independence solution. Novelty/Originality of this article: The novelty of this research lies in the development of a Smart Biogas system integrated with IoT technology, specifically designed for communal-scale applications. The system enables real-time monitoring of the fermentation process through temperature, pressure, and methane sensors, with remote access facilitated by an integrated application. This approach ensures that organic waste is not only effectively managed but also converted into renewable energy, thereby supporting local energy independence.
Circular economy opportunities for inorganic waste management: An applied analysis based on recycling center data Ariyanti, Agni Lili; Fakhirah, Aisyah; Alfareza, Akbar Putra; Surdianto, Arif Nur; Solikhah, Feivie Wihdya; Suleman, Yulia Azizah; Laksono, Gangsar Edi; Purwono
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2193

Abstract

Background: Waste is no longer regarded solely as refuse but also as a potential resource in the circular economy, particularly through recycling center (hereinafter referred to as pusat daur ulang-PDU) mechanisms. This study aims to analyze the circular economic potential of inorganic solid waste based on actual selling price data from PDUs in Purbalingga, Central Java, Indonesia. Previous studies have highlighted the importance of waste separation and local PDUs in promoting community-based waste management, yet few have quantified the circular economic value of specific inorganic waste types. Methods: This research employs a descriptive quantitative approach using secondary data collected from government institutions and local PDUs. Analytical methods include compositional waste analysis and basic statistical comparisons (T-Test) across years and waste types (polyethylene terephthalate-PET, scrap papers, and cans). Findings: PET accounted for an average of 18.53% of total waste between 2021 and 2024, far higher than paper (8.96%) and cans (0.66%). Statistical analysis confirmed significant differences between PET and the other two types (p < 0.05, Cohen’s d > 3). Scenario modeling showed that if 14.8% of the population participated by contributing 3 kg of PET per household, approximately 460 tons/day could be recovered, generating meaningful household income and reducing landfill burden. Conclusion: The study concludes that supporting PDUs and encouraging less than 20% household participation in PET separation could substantially reduce waste volumes while strengthening household income streams. Novelty/Originality of this article: The integration of compositional waste data and local price structures provides a data-driven valuation of inorganic household waste, offering practical guidance for policy and local planning in sustainable circular economy strategies.
GEOMINING-ALERT: Smart monitoring of acid mine drainage based on colorimetric strip integrated mobile-app for participatory mapping towards SDGs 2030 Dayan, Hizkil Achmad
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2374

Abstract

Background: Acid Mine Drainage (AMD) remains one of the most severe and persistent environmental issues in post-mining landscapes, leading to acidic runoff and heavy-metal contamination that endanger aquatic ecosystems and human health. Previous studies highlight the limited accessibility of conventional monitoring tools due to their high cost and dependency on laboratory infrastructure. Therefore, this study aims to develop a participatory, low-cost monitoring framework called GEOMINING-ALERT, which integrates colorimetric strip technology and mobile-based applications for real-time AMD detection and reporting. Methods: This study employed a descriptive qualitative design-based research approach consisting of four stages: literature synthesis on AMD chemistry and participatory monitoring, prototype design of a colorimetric strip and mobile interface, integration of both components into a cloud-based dashboard, and comparative validation against existing monitoring frameworks. Data were obtained from peer-reviewed journals, technical reports, and secondary environmental databases, and analyzed using comparative synthesis to identify methodological and technological gaps. Findings: The GEOMINING-ALERT system demonstrated comparable precision to laboratory analyses, with less than 5% relative error and a 60% reduction in data reporting latency. The participatory framework increased community engagement, transparency, and environmental literacy while enhancing inter-institutional collaboration under the Penta-Helix model. Conclusion: GEOMINING-ALERT effectively bridges scientific monitoring and citizen participation, establishing a scalable early-warning system for AMD management. Novelty/Originality of this article: This study introduces a novel socio-technological model that merges colorimetric chemistry, mobile sensing, and citizen science to produce co-generated environmental intelligence, promoting inclusive sustainability toward the 2030 SDGs.
BLUEPOD: Multi-layer fiber biosorbent innovation for microplastics based on Aspergillus oryzae laccase enzyme combined with activated carbon Disfianto, Fajar; Natasya, Berlian; Shofiah, Siti
Applied Environmental Science Vol. 3 No. 2: (January) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i2.2026.2425

Abstract

Background: Microplastic pollution in coastal waters poses a serious threat to marine ecosystem sustainability and human health due to its persistence and widespread distribution. Since microplastics degrade very slowly under natural conditions, innovative and environmentally friendly mitigation strategies are urgently required. This study introduces BLUEPOD (Buoyant Layered Underwater Ecofilter Pod), an active biosorbent system designed as a floating module composed of a multilayer fibrous matrix integrated with laccase enzyme derived from Aspergillus oryzae and activated carbon. Methods: The activated carbon functions as a high-surface-area adsorbent for capturing microplastic particles, while the immobilized laccase promotes oxidative modification of polymer surfaces, enhancing degradation and reducing persistence. The performance of BLUEPOD was evaluated under controlled laboratory-scale experimental conditions, including static batch tests and continuous-flow tank experiments, using defined concentrations of synthetic microplastics (<5 mm). Removal efficiency was assessed over a 48-hour operational period. Findings: The results demonstrated that BLUEPOD achieved more than 80% microplastic removal efficiency, indicating a strong synergistic effect between adsorption and enzymatic oxidation mechanisms. These findings highlight the potential of BLUEPOD as a lab-scale validated biosorbent system with promising applicability for coastal water treatment, riverine environments, and aquaculture discharge management. Conclusion: With further optimization and field-scale validation, BLUEPOD may serve as a sustainable and scalable solution for mitigating microplastic pollution in Indonesia’s coastal regions and other similarly impacted marine environments. Novelty/Originality of this article: The novelty of this study lies in developing BLUEPOD, a floating multilayer fiber biosorbent integrating Aspergillus oryzae laccase and activated carbon, combining adsorption and enzymatic oxidation for effective microplastic removal.

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