Vol. 11 No. 1 (2026): INFRASTRUCTURE AND ENVIRONMENTAL PRODUCTS

Published: 03/08/2026

Articles

Optimization of Substrate Variations in Free Water Surface Constructed Wetlands For Pollutant Removal in The Penjemuran River, Sukarami District
Puteri Kusuma Wardhani Universitas Sriwijaya Indonesia , Nyimas Septi Rika Putri Universitas Sriwijaya Indonesia , Tamara Nurilah Safitri Universitas Sriwijaya
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Penjemuran River is polluted by leachate from the Sukawinatan Landfill, causing a decline in water quality that affects local communities. The river is an important water source for daily activities, especially fisheries, but contamination threatens aquatic life and disrupts livelihoods that rely on it. This study investigated the effect of substrate variations on the efficiency of Free Water Surface (FWS) constructed wetland for pollutants removal. A laboratory scale experiment was conducted using a 60 cm - 30 cm - 50 cm reactor filled with pre-filtered water from the Penjemuran River. The system was tested with three substrates: sand and gravel, biochar, and zeolite, with Wrightia religiosa (water jasmine) as the vegetation. The hydraulic residence time (HRT) was set at 24 hours. The results showed that the biochar was the most effective in removing ammonia (83.2%), while zeolite had the highest removal efficiency for COD by 81.9% and TSS by 75%. Meanwhile, sand and gravel performed best in reducing BOD by 89.4%. The pH remained stable between 6 and 8, meeting Class II water quality standards under Government Regulation 22 of 2021. Based on these findings, a field-scale was designed using a combination of biochar and zeolite to optimize treatment performance. A cost estimate was also calculated to support implementation in the field. This research provides an innovative and sustainable approach to improving water quality, helping to restore aquatic ecosystems and support fisheries.

Pages: 1-9

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Precision Bathymetric Survey for Marine Infrastructure: A Case Study of Bullnose Jetty, Lagos, Nigeria
Alfred Sunday Alademomi Department of Surveying and Geoinformatics, Faculty of Engineering, University of Lagos, P.M.B. 12003, Akoka, Lagos State, Nigeria Nigeria , Joseph Olayemi Odumosu Department of Geomatics, Faculty of Environmental Sciences, University of Benin, P.M.B. 1154, Edo State, Nigeria. Nigeria , Stephen Olushola Oladosu University of Benin, Benin City, Nigeria Nigeria
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The bathymetric survey conducted at Bullnose Jetty, Apapa, Lagos, was an essential preparatory step for ongoing piling and repair activities. This study focused on evaluating seabed conditions along the quay-line to ensure safe engineering practices. Key objectives included the determination of seabed depth relative to average water levels, probing of proposed pile points (A-38_new, A-39_new, A-40_new) for clearance from debris, and identifying the location of a broken pile (A-39). The survey employed advanced equipment, including the South Echo-sounder and GNSS receiver, following systematic methodologies such as vertical accuracy checks, sounding route planning, and echo-sounding operations and videography. Depth measurements were calculated using acoustic signal travel times, with corrections for tidal variations and instrument lag. The 0.1 m grid interval used provided high-resolution data acquisition for the precise mapping of underwater conditions. Findings confirmed the absence of obstructive debris at proposed pile locations and identified the exact position of the broken pile to prevent any interference with repair works. This study showed and recommend the importance of detailed underwater assessments in maintaining marine infrastructure.

Pages: 10-21

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Systematic Literature Review: Development of Autonomous Agricultural Machinery Systems in Wetland Farming
Aditya Alphanori Sriwijaya University Indonesia , Tamaria Panggabean Sriwijaya University Indonesia , Amin Rejo Sriwijaya University Indonesia
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Wetland agriculture is vital for global food security but faces unique challenges that hinder conventional mechanization. This study employs a systematic literature review and bibliometric analysis to map the research landscape of autonomous agricultural machinery (ALSINTAN) for wetlands. Following the PRISMA protocol, 195 documents were initially identified, from which 55 relevant articles were analyzed from 2015–2025. Results identified five key research clusters: IoT and real-time monitoring, robotic and autonomous vehicles, artificial intelligence, digital twins, and economics and sustainability, with an annual publication growth of 18.7%. A critical finding reveals that only 22% of autonomous ALSINTAN research specifically addresses wetland contexts, indicating a significant bias toward dryland applications. Major gaps include unreliable sensor and algorithm performance under extreme wetland conditions and a lack of socio-economic adoption studies. The study concludes that a more balanced approach, integrating advanced technical innovation with in-depth socio-economic research, is urgently needed. This is conceptualized in the proposed Wetland-Specific Autonomous Farming System (WSAFS) framework to develop resilient and inclusive autonomous farming systems for wetlands.

Pages: 22-30

DOI: https://doi.org/10.22135/sje.2026.11.1.22-30

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Vol. 11 No. 1 (2026): INFRASTRUCTURE AND ENVIRONMENTAL PRODUCTS

Articles

Optimization of Substrate Variations in Free Water Surface Constructed Wetlands For Pollutant Removal in The Penjemuran River, Sukarami District

Precision Bathymetric Survey for Marine Infrastructure: A Case Study of Bullnose Jetty, Lagos, Nigeria

Systematic Literature Review: Development of Autonomous Agricultural Machinery Systems in Wetland Farming

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