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Green Engineering: Journal of Engineering and Applied Science

GreenEngineering
Website

Published by International Forum of Researchers and Lecturers

ISSN : 30636841 EISSN : 30636833 DOI : 10.70062

Core Subject : Agriculture, Engineering,

Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering

(Green Engineering: Journal of Engineering and Applied Science) [e-ISSN : 3063-6833, p-ISSN : 3063-6841] is an open access Journal published by the IFREL ( Forum of Researchers and Lecturers). Green Engineering accepts manuscripts based on empirical research results, new scientific literature review, and comments/ criticism of scientific papers published by Green Engineering. This journal is a means of publication and a place to share research and development work in the field of Engineering and Applied Science. Articles published in Green Engineering are processed fully online. Submitted articles will go through peer review by a qualified international Reviewers. Complete information for article submission and other instructions are available in each issue. Green Engineering publishes 4 (four) issues a year in January, April, July and October, however articles that have been declared accepted will be queued in the In-Press issue before published in the determined time.

Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)

Articles 47 Documents

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Sustainable Precision Agriculture Irrigation System Using Edge Computing and Renewable Energy Integration for Water Conservation and Climate Adaptation Agus Wantoro; Ferly Ardhy; Fahlul Rizki; Ahmad Budi Trisnawan; Yulaikha Mar’atullatifah; Rachmat Setiabudi
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 2 (2025): April : Green Engineering: International Journal of Engineering and Applied Sci
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i2.288

The integration of solar powered IoT irrigation systems in precision agriculture offers a sustainable solution to address water scarcity and enhance crop productivity. By leveraging real time data from soil sensors, weather APIs, and machine learning algorithms, these systems optimize irrigation schedules and improve water use efficiency. This research explores the potential of integrating renewable energy sources, such as solar power, with edge computing in smart irrigation systems to promote sustainable agricultural practices. The study aims to evaluate the performance of the proposed system in terms of water savings, crop yield, energy efficiency, and adaptability to varying climate conditions. Literature Review: Previous studies highlight the importance of smart irrigation systems in reducing water waste and improving crop yield through real time monitoring and automated decision making. However, existing systems often lack the integration of renewable energy and edge computing, which are critical for ensuring sustainability and operational efficiency in rural agricultural settings. The combination of renewable energy with IoT devices offers a promising solution to reduce energy costs and carbon emissions, while edge computing enhances real time data processing, ensuring prompt and accurate irrigation adjustments. Materials and Method: The proposed system integrates solar powered IoT devices, soil moisture sensors, weather data APIs, and edge computing devices to manage irrigation. Machine learning algorithms and evapotranspiration models are used to predict irrigation needs and optimize scheduling based on real time data. The system's performance is evaluated through metrics such as water savings percentage, crop yield improvements, and energy consumption, with a comparative analysis against traditional irrigation methods. Results and Discussion: The results indicate that the system successfully reduces water usage by 30% to 40%, increases crop yield by 25%, and operates with energy autonomy, powered entirely by solar energy. The system's adaptability to varying climate conditions ensures optimal crop growth, even under environmental stresses. The integration of renewable energy and edge computing significantly enhances the sustainability and efficiency of irrigation systems.

AI driven Circular Waste to Energy Conversion System Using Smart Thermal Monitoring and Emission Optimization for Sustainable Urban Infrastructure Kiki Ahmad Baihaqi; Krisna Widi Nugraha; Rian Ardianto; Rosyid Ridlo Al-Hakim; Riza Phahlevi Marwanto; Erick Fernando
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 2 (2025): April : Green Engineering: International Journal of Engineering and Applied Sci
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i2.289

This study explores the integration of Artificial Intelligence (AI) with thermal optimization in Waste-to-Energy (WtE) systems to enhance both energy recovery and emission control. Introduction: The growing need for sustainable urban waste management has highlighted the importance of optimizing WtE systems. AI technologies, including machine learning and deep learning, have shown potential in improving the efficiency of WtE processes, especially in reducing emissions and enhancing energy recovery. Literature Review: Previous research indicates that AI has been successfully applied to various WtE technologies such as pyrolysis, gasification, and incineration, yet the integration of AI specifically for thermal optimization remains underexplored. Most studies focus on predictive models for emission reduction rather than real time thermal optimization. Materials and Method: The study proposes the development of an AI-driven framework that integrates real time data collection from IoT sensors, predictive modeling, and real time control algorithms. The system optimizes key parameters such as combustion temperature and fuel flow to enhance energy recovery and minimize emissions. The method includes data collection from operational WtE plants, followed by model development using machine learning algorithms. Results and Discussion: Initial simulations and pilot testing showed significant improvements in energy efficiency and emission reduction. AI-driven systems outperformed conventional WtE systems by optimizing operational parameters in real time. The study identifies gaps in AI integration for thermal optimization and suggests future research directions, including the integration of AI with smart grids and carbon credit systems for more sustainable WtE operations.

Integrated Framework for Decentralized Renewable Energy and Wastewater Treatment Plant Coupling to Achieve Sustainable Circular Nexus in Urban Communities Beny Riswanto; Rahmadi Agus; Sofiansyah Fadli
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 3 (2024): July : Green Engineering: International Journal of Engineering and Applied Scie
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i3.278

Urban sustainability presents considerable challenges, especially in the management of energy and wastewater treatment systems. Rapid urbanization intensifies the demand for water and energy, leading to increased pressure on existing infrastructure and resources. Wastewater management is essential for urban water sustainability, as untreated wastewater poses significant environmental and health risks. Moreover, wastewater treatment processes are energy-intensive, complicating the balance between environmental goals and energy consumption. To address these challenges, integrating decentralized renewable energy systems, such as solar, biogas, and wind, with wastewater treatment plants (WWTPs) offers a promising solution. This integration can reduce reliance on centralized power grids, enhance energy self-sufficiency, and promote sustainability. The application of Circular Economy principles, which emphasize resource recovery and system decentralization, is key to this integration. However, technological, economic, and regulatory barriers exist, limiting widespread adoption. This study explores the feasibility of coupling renewable energy with WWTPs, focusing on energy flow simulations, environmental impacts, and economic evaluations. The results indicate that integrating renewable energy can significantly reduce greenhouse gas emissions, lower operational costs, and improve the resilience of urban water systems, making it a viable option for sustainable urban development.

Implementation of Community-Scale Bio-Solar Hybrid Renewable Energy Systems with Energy Storage to Enhance Microgrid Stability and Local Sustainability Budi Artono; Jusra Tampubolon
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 4 (2024): October: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i4.279

The increasing demand for sustainable and reliable energy solutions in remote and off-grid communities has led to the exploration of hybrid bio-solar renewable energy systems. This paper examines the implementation of a hybrid bio-solar system with energy storage to improve microgrid stability and support local sustainability. By combining biomass and solar power with energy storage, the system provides a reliable, clean, and cost-effective energy supply, addressing intermittency and enhancing grid resilience. The research covers system design, power flow simulation, voltage and frequency stability, and both economic and environmental analyses to assess system effectiveness. The results show that the hybrid bio-solar system significantly improves energy reliability, reduces carbon emissions, and offers a more stable energy supply compared to diesel or grid-based systems. The system's scale and configuration are crucial in optimizing cost-effectiveness, with larger systems yielding better long-term benefits. Local community involvement is key to managing and maintaining the system, ensuring its sustainability. Compared to other renewable energy hybrids like wind-solar or solar-diesel, the bio-solar system offers superior reliability and cost-efficiency, especially where biomass is abundant. The paper concludes with recommendations for scaling these systems and emphasizes the importance of supportive policies for accelerating sustainable energy transitions.

Measurement of Sound Absorption Coefficient (SAC) and Transmission Loss (TL) in Cement-Bonded Particleboard Made from Coconut Coir Rohny Setiawan Maail; Lydia Riekie Parera
Green Engineering: International Journal of Engineering and Applied Science Vol. 2 No. 4 (2025): October: Green Engineering: International Journal of Engineering and Applied Sc
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v2i4.293

This study aims to analyze the acoustic characteristics of coconut-fiber-based Cement-Bonded Particleboard (CBPB) through measurements of the Sound Absorption Coefficient (SAC, α) and Transmission Loss (TL). CBPB samples were fabricated with thickness variations of 12, 16, and 20 mm and tested using an impedance tube in accordance with ISO 10534-2:1998 for SAC and ASTM E90-09 (2016) for TL measurements. The study examined the effect of panel thickness on sound absorption and transmission loss across a frequency range of 125–4000 Hz. The results showed that the α value increased with both frequency and panel thickness, reaching a maximum of 0.78 at frequencies of 2500–3150 Hz for the 20 mm panel. The TL measurements indicated that the highest transmission loss reached 42 dB at a frequency of 4000 Hz. These findings suggest that thicker CBPB panels provide better acoustic performance, both in absorbing sound and reducing transmission. Overall, coconut-fiber-based CBPB demonstrates strong potential as an eco-friendly structural acoustic material suitable for applications in sustainable building design, interior partitions, and noise control solutions.

Length Weight Relationship and Condition Factor of Yellowstripe Scad Selaroides leptolepis in Banda Sea Waters, Morowali Ahmad Musyali; Indri Afriani Yasin; Talha Dangkua; Dewi Shinta Achmad; Arfan Tilome
Green Engineering: International Journal of Engineering and Applied Science Vol. 3 No. 3 (2026): Juli : Green Engineering: International Journal of Engineering and Applied Scie
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v3i3.298

Yellowstripe scad (Selaroides leptolepis) is an economically important small pelagic fish that supports coastal livelihoods and local food supply in Morowali, Central Sulawesi. Increasing fishing pressure in Banda Sea waters requires location-specific biological information to guide sustainable management. This study analyzed length-frequency distribution, length-weight relationship, growth pattern, and condition factor of yellowstripe scad landed in Bete-Bete Village, Bahodopi District, Morowali Regency. Sampling was conducted from March to May 2026 using 450 individuals obtained from local fishers, with approximately 150 fish sampled each month. Total length ranged from 138 to 203 mm, and catches were dominated by the 171–190 mm size range, especially the 178–183 mm and 184–190 mm classes. Length-weight relationships showed strong positive associations, with coefficients of determination ranging from 79.88% to 94.79%. Growth was generally isometric across sex and month, except for male fish in March, which showed negative allometric growth. Condition factor values were mostly above 1.0 and generally ranged from approximately 1.0 to 1.4, indicating good physiological condition and sufficient habitat support. The findings indicate that yellowstripe scad in Banda Sea waters around Morowali remain in relatively healthy biological condition. However, precautionary management is still required through minimum catch-size regulation, improved gear selectivity, and routine landing-site monitoring.

Blue Shark Bycatch and Conservation Gaps in Indonesian and Eastern Indian Ocean Fisheries: A Systematic Review of Spatial Risk, Fisheries Pressure, and Management Evidence Dewi Shinta Achmad
Green Engineering: International Journal of Engineering and Applied Science Vol. 3 No. 3 (2026): Juli : Green Engineering: International Journal of Engineering and Applied Scie
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v3i3.301

Blue sharks (Prionace glauca) are among the most frequently encountered pelagic sharks in oceanic fisheries, yet their conservation risk remains unevenly understood in Indonesian and eastern Indian Ocean waters. This systematic literature review synthesizes evidence on spatial risk, fisheries pressure, bycatch exposure, biological vulnerability, and conservation gaps relevant to blue shark management. Following a systematic search and thematic extraction strategy, the review organized peer-reviewed studies into four evidence domains: spatial distribution and habitat suitability; longline fisheries interaction and bycatch exposure; biological vulnerability, mortality, and population-level risk; and conservation measures, monitoring, and governance gaps. The synthesis shows that blue shark risk is not reducible to species presence or catch frequency. Instead, risk emerges from dynamic overlap between environmentally structured habitat, pelagic longline effort, demographic vulnerability, uncertain post-release survival, and weak species-specific monitoring. Evidence from Indian Ocean and Indo-Western Pacific studies indicates important seasonal and demographic variation, but Indonesia-specific data remain limited. This gap constrains stock assessment, spatial planning, and evaluation of bycatch mitigation. Conservation measures are further weakened where static protected areas, incomplete observer coverage, and trade monitoring are not integrated with regional fisheries governance. The review concludes that blue shark conservation in Indonesian and eastern Indian Ocean fisheries requires a risk-based framework linking habitat modelling, CPUE standardization, observer and electronic monitoring, post-release mortality studies, gear mitigation, and transboundary management under regional fisheries organizations.

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Abdul Karim

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Jalan Watunganten 1 No 1-6, Batursari, Mranggen, Kab. Demak, Provinsi Jawa Tengah, 59567

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Kab. demak,

Jawa tengah

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Abdul Karim

Contact Email indexsasi@apji.org

Phone +6282135809779

Journal Mail Official info@ifrel.org

Editorial Address Jalan Watunganten 1 No 1-6, Batursari, Mranggen, Kab. Demak, Provinsi Jawa Tengah, 59567

Location Kab. demak, Jawa tengah INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Abdul Karim

Contact Email
indexsasi@apji.org

Phone
+6282135809779

Journal Mail Official
info@ifrel.org

Editorial Address
Jalan Watunganten 1 No 1-6, Batursari, Mranggen, Kab. Demak, Provinsi Jawa Tengah, 59567

Location
Kab. demak,

Jawa tengah

INDONESIA