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  • The Role of Environmental Policy in Promoting Green Transportation Technologies

    The Role of Environmental Policy in Promoting Green Transportation Technologies

    Authors: Siphimvadee Suthakavatin ; Khodor Shatila ; Karine Aydinyan ; Raeni Dwi Santy

    DOI: 10.1051/bioconf/202414506013

    Abstract:

    This study explores the role of environmental policy in promoting the adoption of green transportation technologies, focusing on the effects of financial incentives, regulatory frameworks, and public investment in infrastructure across key Asian urban centres. The research highlights how technological innovation acts as a crucial mediator between policy measures and the adoption of sustainable transportation options such as electric vehicles (EVs) and hydrogen-powered vehicles. Using Structural Equation Modelling (SEM), the study examines the relationships between these factors, demonstrating that higher levels of financial incentives, supportive regulations, and strategic public investment lead to significant advancements in technological innovation, which in turn drives the adoption of green transportation technologies. The findings contribute to the broader understanding of sustainable urban mobility solutions and offer important insights for policymakers and industry stakeholders in regions experiencing rapid urbanization. The study also discusses the dual role of these policy drivers, both in directly influencing adoption and in fostering technological advancement. © The Authors, published by EDP Sciences.


    This article can be accessed at https://www.scopus.com/pages/publications/85216661038

  • Analysis of Solar Powered Public Street Lighting Design (PJUTS)

    Analysis of Solar Powered Public Street Lighting Design (PJUTS)

    Authors: Sutono S.; Chepi Nur Albar

    DOI: –

    Abstract:

    This research aimed to propose and demonstrate a Solar-Powered Public Street Lighting lamps concept as part of a Community Service (PKM) initiative conducted at the Halim Cluster Housing Complex in West Bandung Regency. The study employed an experimental method combined with product design. The findings revealed that the solar-powered Public Street Lighting (PJU) design offers an innovative and environmentally friendly solution to meet public lighting needs. The calculation and testing involved 5V/12W LED lights, 12V/50Wp solar panels, a 10A charge controller, and 12V/30Ah lithium batteries. The solar-powered street lighting system can operate for 12 hours, even under sunny and cloudy conditions. © 2025 Taylor’s University. All rights reserved.

    Author Keywords:

    Battery; Charge control; Complex; Housing; LED


    This article can be accessed at : https://www.scopus.com/pages/publications/85214486386

  • A Modular Intelligent System for Energy Saving Using Fuzzy Logic and Artificial Neural Network Based on the Concept of Internet of Things

    A Modular Intelligent System for Energy Saving Using Fuzzy Logic and Artificial Neural Network Based on the Concept of Internet of Things

    Authors: Fadhila Azzahra ; Rahma Wahdiniwaty

    DOI: 10.1063/5.0255654

    Abstract:

    The purpose of this research is to build an intelligent system of control and monitoring of electrical energy at home and to find out the amount of efficiency that can be achieved after implementing a control and monitoring system of daily electrical energy at home. The use of electrical at home is a waste of energy which of course is often not realized by the users. Even though, this is caused by the many uses of electronic devices at home that must be used and live continuously, for example: the use of lights, water heater, Air Conditioners (AC) and others. Although these devices can be set up and work automatically, automatic devices only rely on time and condition variables. To save energy more efficient, homes need to be equipped with intelligent systems that can be control and turn on electronic devices only when needed. The method that will be applied in this research is by combining fuzzy logic and the integration of Artificial Neural Network (ANN). Besides that, this system will be built using the concept of IoT (Internet of Things). The result of this research is produced an IoT device for intelligent Controlling and Monitoring of Electrical Energy with fuzzy logic and ANN methods. This current research is developing an ESP32-based smart device for the internet of things that can be used to monitor and control electrical energy using fuzzy logic and Artificial Neural Network (ANN) methods. However, current research has found that this device can improve energy consumption at home by 28-37%. © 2025 Author(s).

    Author Keywords:

    Artificial Neural Network; Energy Saving; Fuzzy Logic; Internet of Things


    This article can be accessed at https://www.scopus.com/pages/publications/85219185646

  • Contributing Factors to Greenhouse Gas Emissions in Agriculture for Supporting Sustainable Development Goals (SDGs): Insights from a Systematic Literature Review Completed by Computational Bibliometric Analysis

    Contributing Factors to Greenhouse Gas Emissions in Agriculture for Supporting Sustainable Development Goals (SDGs): Insights from a Systematic Literature Review Completed by Computational Bibliometric Analysis

    Authors: Herman S. Soegoto ; Muhammad Aria Rajasa Pohan ; Senny Luckyardi ; Sri  Supatmi ; Eri Amasawa ; Santi Phithakkitnukoon ; Zainal Arifin Hasibuan

    DOI: 10.17509/ajse.v5i2.83667

    Abstract:

    Agricultural production contributes significantly to greenhouse gas (GHG) emissions and global climate change. This study conducts a systematic literature review to examine the evolution and drivers of agricultural GHG emissions. We analyzed Web of Science, Scopus, and Google Scholar data using bibliometric and thematic methods. Our analysis identified emission sources such as energy use, soil management, fertilizer application, and livestock management. It also discussed mitigation measures such as sustainable practices, precision agriculture, and renewable energy. The findings showed that crop cultivation, livestock activities, and land-use change remained key sources of emissions. Technological innovations and policy-driven strategies are reshaping the research landscape. This study provides a framework for understanding agricultural GHG emissions and supporting interventions to reduce the sector’s carbon footprint as well as Sustainable Development Goals (SDGs). © 2025 Kantor Jurnal dan Publikasi UPI.

    Author Keywords:

    Agricultural production; Emission sources; Greenhouse gas emissions; Mitigation strategies; Sustainable development goals (SDGs); Sustainable practices; Systematic literature review

    This article can be accessed at https://www.scopus.com/pages/publications/105006917187

  • Hazard Identification, Risk Assessment, and Determining Control (HIRADC)for Workplace Safety in Manufacturing Industry: A Risk-Control Framework Compelete with Bibliometric Literature Review Analysis to Support Sustainable Development Goals (SDGs)

    Hazard Identification, Risk Assessment, and Determining Control (HIRADC)for Workplace Safety in Manufacturing Industry: A Risk-Control Framework Compelete with Bibliometric Literature Review Analysis to Support Sustainable Development Goals (SDGs)

    Authors: Henny H. ; Agus Heri Setya Budi ; Muhammad Andriyansyah ; Muhammad Rizzki Ar Rozzak ; Maretno Marcelina Baru ; Alias Masek

    DOI: –

    Abstract:

    This study implements the Hazard Identification, Risk Assessment, and Determining Control (HIRADC) method to evaluate and mitigate occupational risks in the manufacturing construction sector. A bibliometric analysis reveals a growing yet insufficient number of studies applying structured risk control frameworks like HIRADC in industrial settings, particularly in developing countries. Using a descriptive approach, data were collected through field observations, interviews, and document analysis. Seven hazards were identified, resulting in five low-risk and two moderate-risk classifications using a probability–severity matrix. Control measures were implemented following ISO 45001:2018 standards, including engineering controls, administrative actions, and personal protective equipment (PPE). The results demonstrate that HIRADC enhances workplace safety awareness and reduces risk levels. This study contributes a practical safety framework for manufacturing environments while reinforcing the relevance of SDG-aligned and bibliometrically justified research in occupational health. © 2025 Bumi Publikasi Nusantara.

    Author Keywords:

    Bibliometric analysis; Hazard; Manufacturing; Material; Risk; Safety

    This article can be accessed at https://www.scopus.com/pages/publications/105014123293

  • Development of Web Platform: A Digital Solution for School Bullying Prevention and Intervention

    Development of Web Platform: A Digital Solution for School Bullying Prevention and Intervention

    Author: Vicky Dwi Wicaksono, Nurul Murtadho, Imron Arifin, Eddy Sutadji, Zaenal Abidin, Eddy Soeryanto Soegoto, Amadhila Elina Penehafo

    DOI: –

    Abstract

    This study designed and developed the Berlabu web platform as an interactive digital tool for preventing and addressing bullying in schools. Using the Design-Based Research (DBR) method, the study followed four stages: analysis, design, development, and evaluation. Expert validation from educational technology practitioners, psychologists, and educators resulted in an average score of 3.63, placing the platform in the “very good” category. Trials with elementary school students showed that the platform was easy to use, receiving a 3.6 rating in the “very good” category. Interactive features such as Ask AI and educational videos enhanced students’ understanding, while the Report ID feature provided a sense of security in reporting bullying. This is because Berlabu integrates a user-friendly interface, engaging educational tools, and a secure, anonymous reporting system, making it an effective digital solution for bullying prevention and intervention. The platform positively impacts schools by raising students’ awareness of bullying, creating a safe space for reporting incidents, and supporting character education through counselling and digital learning. © School of Engineering, Taylor’s University.

    Keywords: Berlabu web platform; Bullying intervention; Bullying prevention; Digital education; School

    This article can be accessed at https://www.scopus.com/pages/publications/105002331406

  • Integrating Corporate Social Responsibility with Stakeholder Role in Small and Medium Enterprise (SME) Projects: The Case of PT Chevron Geothermal Indonesia

    Integrating Corporate Social Responsibility with Stakeholder Role in Small and Medium Enterprise (SME) Projects: The Case of PT Chevron Geothermal Indonesia

    Author: Desayu Eka Surya, Wan Amizah Wan Mahmud

    DOI: 10.17576/JKMJC-2025-4101-18

    Abstract

    This study explores the integration of Corporate Social Responsibility (CSR) and Stakeholder Theory in PT Chevron Geothermal Indonesia’s (PT CGI) small and medium enterprise (SME) projects in Desa Samarang and Desa Pasirwangi Garut, Java Island, Indonesia. CSR has become a strategic tool for businesses to promote economic empowerment, environmental sustainability, and social well-being. This study aims to examine how PT CGI’s Super Chicken, Banana Plantation, and Mushroom Cultivation initiatives align with stakeholder interests, ensuring sustainable development. Grounded in Stakeholder Theory, which posits that businesses should address the interests of multiple stakeholders, this research employs a qualitative case study approach, collecting data through semi-structured interviews, document analysis, and direct observations. Sixteen key informants, including PT CGI representatives, local government officials, and SME beneficiaries, participated in the study, conducted between January and July 2016. Findings reveal that stakeholder engagement is critical to CSR success. The Super Chicken project enhanced food security and local income, the Banana Plantation initiative improved agricultural sustainability, and the Mushroom Cultivation project provided economic opportunities, particularly for women and marginalized groups. These initiatives illustrate the purpose of CSR in community-driven development, the value creation achieved through economic growth and skill development, and the interdependence between businesses and communities. The study concludes that CSR is most effective when implemented through stakeholder-driven models, fostering long-term self-sufficiency and shared value creation. This research contributes to CSR and Stakeholder Theory literature by providing insights into how corporations can drive sustainable development through collaborative, purpose-led CSR strategies. © 2025, Penerbit Universiti Kebangsaan Malaysia. All rights reserved.

    Keywords: Corporate social responsibility; PT Chevron Geothermal Indonesia; Small and Medium Enterprise (SME); stakeholder theory; sustainable development

    This article can be accessed at https://www.scopus.com/pages/publications/105003189150

  • Security Enhancement and Performance Assessment in Blockchain-based Smallholder Palm Oil Supply Chain

    Security Enhancement and Performance Assessment in Blockchain-based Smallholder Palm Oil Supply Chain

    Author: Afrianto I., Djatna T., Arkeman Y., Hermadi I.

    DOI: 10.5829/ije.2025.38.03c.07

    Abstract

    Ensuring robust security systems is critical, particularly for smallholder palm oil supply chains. This study aims to enhance the security and efficiency of blockchain-based supply chains for smallholder palm oil by exploring the integration of certificate authorities, multi-channel schemes, and smart contract integration. This article focuses on the implementation of security systems in blockchain-based supply chains for smallholder palm oil using Certificate Authority (CA), Multi-Channel Scheme (MCS), and Smart Contract Integration (SCI). The methods used included problem identification, data collection and analysis, privacy and security model development, prototype development, system privacy and security evaluation, and system performance measurement. The results show that implementing these security systems can significantly improve security, efficiency, data integrity, authentication, and trust in palm oil supply chains. Performance measurement is used to evaluate transactions and the implementation of security mechanisms implemented in the system by measuring throughput, send rate, latency, and resource utility. Our research addresses security, efficiency, and performance in blockchain-based smallholder palm oil supply chains by introducing certificate authorities, a multi-channel scheme for data segregation, and a novel smart contract framework, and evaluating their combined impact on system performance metrics. The research provided insights into ongoing efforts to secure and optimize smallholder palm oil supply chains and offered insights into these technologies’ practical applications and benefits. These findings provided valuable recommendations for the adoption and integration of these technologies in the palm oil industry to improve supply chain security, transparency, trust, traceability, and efficiency. © 2025 The author(s).

    Keywords: Blockchain-based Smallholder Palm Oil; Certificate Authorities; Multi-channel Schemes; Performance Assessment; Security Enhancement; Smart Contract Integration; Supply Chain

    This article can be accessed at https://www.scopus.com/pages/publications/85208609592

  • Chili Plant Monitoring System Using Yolo Object Detection Technology

    Chili Plant Monitoring System Using Yolo Object Detection Technology

    Author: Harun Sujadi, Budiman B., Dony Susandi, Elba Ghiffari Fitriasina, Trustorini Handayani

    Abstract

    Traditional farming in chili cultivation often needs help in monitoring plant conditions efficiently. Farmers generally use manual methods to identify pests and determine soil nutrient requirements, which are often inaccurate and time-consuming. This study aimed to improve the efficiency and productivity of chili cultivation by implementing smart farming technology using the YOLO (You Only Look Once) algorithm for real-time leaf pest detection. The method used is system development, which includes data collection, model training, and system performance evaluation. The test results showed that YOLO technology can identify pests with reasonably high accuracy, allowing farmers to take quick and precise action. The implementation of smart farming is expected to increase productivity, reduce losses due to pests, and support sustainable agricultural practices. The main contribution of this study was the development of a YOLO-based monitoring system that can support the efficiency of chili farming in Indonesia. © School of Engineering, Taylor’s University.

    Keywords: Agriculture; Chile plants; Research and development; Smart farming; YOLO

    This article can be accessed at https://www.scopus.com/pages/publications/105002405701

  • Enhancing Agricultural Cybersecurity: Leveraging Deep Learning and Large Language Models For Smart Farming Protection

    Enhancing Agricultural Cybersecurity: Leveraging Deep Learning and Large Language Models For Smart Farming Protection

    Author: Hewa Majeed Zangana, Senny Luckyardi, Firas Mahmood Mustafa, Shuai Li

    DOI: 10.4018/979-8-3373-3296-3.ch010

    Abstract

    The rapid digital transformation of agriculture through smart farming technologies has introduced newcybersecurity challenges that threaten the integrity, confidentiality, and availability of critical agricultural data and systems. As precision agriculture, Internet of Things (IoT)-enabled sensors, and automated decision-making become integral to modern farming, the risks associated with cyber threats-such as data breaches, ransomware attacks, and supply chain vulnerabilities-continue to escalate. Unlike traditional security measures, AI-driven solutions, includingdeep learning and Large Language Models (LLMs), offer real-time threat detection, adaptive defense mechanisms, and enhanced risk assessment capabilities. This chapter explores the application of these technologies in securing agricultural networks, from intrusion detection to automated incident response. It also presents case studies of AI-driven cybersecurity solutions implemented in agricultural environments. © 2025 by IGI Global Scientific Publishing.

    Keywords: Agricultural robots; Artificial life; Computer viruses

    This article can be accessed at https://www.scopus.com/pages/publications/105004786381