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  • An Augmented Reality-Based Lipstick Color Recommendation System Model to Help Prevent COVID-19 Spreadness

    An Augmented Reality-Based Lipstick Color Recommendation System Model to Help Prevent COVID-19 Spreadness

    Authors: Agustia R.D. ; Bryllyantri A.

    DOI: 10.1063/5.0128549

    Abstract:

    The aim of this research is to provide lipstick color recommendations based on the analogous color theory. The recommended lipstick color is based on the user’s skin tone color, where the skin color that is taken is the skin of lip color. Facial landmark detection will be used as a method to detect the position of the user’s lips where the recommended lipstick color results can be seen in the form of augmented reality. To find out what lipstick products are used as the basis for lipstick color recommendations, questionnaires were distributed using random sampling to 100 female respondents, and data was sorted to obtain the three products that were most widely used by female respondents in Indonesia. Based on the results of the questionnaire the products most widely used by respondents are Wardah, Makeover, and Emina products. The results of the research is lipstick color recommendation system model based on the user’s skin tone color using augmented reality facial landmark detection method. Based on performance testing, detection can be carried out well with the criteria that the face is facing the camera with a tilt position of 0 °-45 °, the optimal distance between the camera and the face is 20-80 cm, and with optimal lighting using 40W incandescent lamp or 8 W-23W fluorescent lamp. During the COVID-19 pandemic, using lipstick product samples at the same time will increase the risk of contracting COVID-19 so the lipstick color recommendation system will be an alternative to help prevent COVID-19 spreads. © 2023 Author(s).

    Author Keywords:

    Augmented reality; lipstick color recommendation system


    This article can be accessed at https://www.scopus.com/pages/publications/85177603924

  • Optimized PID Control for Enhanced Electric Power Steering System Performance

    Optimized PID Control for Enhanced Electric Power Steering System Performance

    Authors: Rodi Hartono ; Hyun Rok Cha ; Kyoo Jae Shin

    DOI: 10.1109/INCITEST64888.2024.11121507

    Abstract:

    This research investigates the application of a proportional-integral-derivative (PID) controller for controlling an electric power steering (EPS) system equipped with a brushless direct current (BLDC) motor. EPS is an advanced automotive technology to assists drivers by reducing the physical effort needed to steer a vehicle and enabling precise computer-controlled steering in autonomous vehicles. EPS systems offer significant benefits over traditional hydraulic systems, including improved energy efficiency and steering precision. While EPS systems can present challenges due to their nonlinear characteristics, this study focuses on their linear range where the PID controller’s simplicity and effectiveness are beneficial. By optimizing PID parameters, the controller achieved precise tracking, fast transient response, and minimal steady-state error. Performance evaluation using a ± 10° angle target showed a rise time of 0.155 seconds, a settling time of 0.307 seconds, and an overshoot of 3.6% for a +10° target, and a rise time of 0.155 seconds, a settling time of 0.310 seconds, and an overshoot of 3.3% for a -10 target. These results show the PID controller’s capability to deliver consistent and accurate control in the EPS system, particularly when operating within its linear range. © 2024 IEEE.

    Author Keywords:

    electric power steering; linear operating range; nonlinear characteristics; PID controller; steering precision


    This article can be accessed at https://www.scopus.com/pages/publications/105015855979

  • Implementation of Microhydro Power Plants in Remote and Undeveloped Areas

    Implementation of Microhydro Power Plants in Remote and Undeveloped Areas

    Authors: Herry Saputra ; Alfi Nurakbar ; Hendri Praminiarto ; Agus Mulyadi ; Dedi S. Soegoto

    DOI: –

    Abstract:

    Electric energy is a vital element for the Indonesian community. However, in frontier, underdeveloped, and remote areas, access to electricity is uneven. An appropriate solution is necessary to overcome these supply limitations. This research aims to construct a micro hydro power plant utilizing existing river flows. The research employed descriptive analysis with a qualitative approach, while the equipment’s performance analysis used the fuzzy time series method. Findings indicate that micro hydro technology can generate up to 40 kW using four generators, relying on a minimum river flow rate of 60 litters per second. This system can meet the needs of 72 households with a lifespan of up to 15 years. The core concept was to use river flow to drive turbines, generating electrical power. Consequently, the government can minimize electricity development costs from major urban centres. Ultimately, micro hydro power generation technology serves as a solution for frontier, remote, and underdeveloped areas, providing access to electricity and illumination, and supporting the community’s living requirements. © 2024 Taylor’s University. All rights reserved.

    Author Keywords:

    Electric energy; Fuzzy time series; Micro hydro power plant

    This article can be accessed at https://www.scopus.com/pages/publications/85184612265

  • 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