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  • Forest Fire Detection System Using Wireless Sensor Network (WSN)

    Forest Fire Detection System Using Wireless Sensor Network (WSN)

    Author: Nurhayati S., Indriani S.L., Ansori R.M.R.

    DOI: 10.1063/5.0129221

    Abstract

    This research aims to develop a system that can detect forest fires so that it can prevent the fires from spreading and thus minimize its damage. Forests are natural resources that have great potential to be exploited and conserved, but threats and disturbances often occur that hinder conservation efforts. One of these threats and disturbances is forest fires. One of the impacts of these fires is the loss of biodiversity. Along with the rapid development of technology, by utilizing a Wireless Sensor Network (WSN), the location of forest fires can be detected. The parameters used for fire detection are temperature, humidity, and air quality. The system is built using two sensor nodes and one coordinate node using the XBee S2C radio frequency module to form a wirelessly connected network. All information in the form of temperature formation conditions, humidity, and coordination points to be sent to the server. This data can be viewed on a website via a server computer. The test results show that the monitoring system has been able to detect forest fires based on predetermined parameters. © 2023 Author(s).

    Keywords: forest fire detection system; Wireless sensor network; XBee

    This article can be accessed at https://www.scopus.com/pages/publications/85177571063

  • Progress in the Utilization of Water Hyacinth as Effective Biomass Material

    Progress in the Utilization of Water Hyacinth as Effective Biomass Material

    Author: Asep Bayu Dani Nandiyanto, Siti Nur Hofifah, Dwi Fitria Al Husaeni, Dwi Novia Al Husaeni, Meli Fiandini, Senny Luckyardi, Eddy Soeryanto Soegoto, Arif Darmawan, Muhammad Aziz

    DOI: 10.1007/s10668-023-03655-6

    Abstract

    Water hyacinth (Eichhornia crassipes) is considered a prospective free-floating aquatic plant potentially used to address current issues on food, energy, and the environment. It can grow quickly and easily in various tropical and subtropical environments as long as it has access to adequate light and water to support photosynthetic growth. Ecosystems are threatened by their invasive growth and remarkable capacity for adaptation. However, managing this plant can result in valuable products. This paper demonstrates particle technologies that might be used to utilize water hyacinths, including brake pads, fertilizer, bioenergy, animal feed, phytoremediation agents, bioplastics, and adsorbents. This study is accompanied by a discussion based on the conducted experiments and currently available literature, providing readers with a clearer understanding. Water hyacinth’s capacity to absorb macro- and micro-nutrients, nitrogen, and phosphorus makes it a good plant for phytoremediation. The prospect of producing cellulose makes it prospective as a biomass energy source and livestock feeding. Further, it can be transformed into high-cellulose content particles for applications in bioplastics, brake pads, and adsorbents. The current reports regarding education of water hyacinth to student also were added. Finally, issues and suggestions for future development related to the use of water hyacinths are discussed. This study is expected to provide comprehensive knowledge on how to turn invasive water hyacinth plants into valuable products. © The Author(s) 2023.

    Keywords: Aquatic plant; Ecosystem; Engineering; Environment; Particle technology; Water hyacinthThis article can be accessed at https://www.scopus.com/pages/publications/85171264623

  • The Role of Environmental Policy in Promoting Green Transportation Technologies

    The Role of Environmental Policy in Promoting Green Transportation Technologies

    Author: 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

  • Geospatial Intelligence Framework for BTS Infrastructure Planning toward Universal Internet Access Target in Indonesia

    Geospatial Intelligence Framework for BTS Infrastructure Planning toward Universal Internet Access Target in Indonesia

    Author: Anjar Dimara Sakti, I Gusti Ayu Andani, Anissa Dicky Putri, Muhammad Rizky Zakiar, Ismail Al Faruqi, Cokro Santoso, Rezzy Eko Caraka, Pitri Rohayani, Fabian Surya Pramudya, Arie Wahyu Wijayanto, Angga Setiyadi, Wervyani Shalannanda

    DOI: 10.1016/j.jag.2024.104274

    Abstract

    Equitable internet coverage has emerged as a key global priority, which is essential for promoting inclusive and sustainable development. The Indonesian government aims to provide universal internet access by 2024, particularly in remote regions. This study introduces a novel machine-learning-based approach to identify the priority areas for deploying Base Transceiver Station (BTS) towers, which are crucial for achieving the internet access targets of the government. A BTS Network Priority Index was developed by integrating the internet demand estimates with a BTS suitability index derived from key predictors: proximity to fiber optic stations, physical–environmental suitability, and infrastructure–economic readiness. The model identified areas with high internet demand and high BTS suitability as the most critical for immediate development, covering 20 km2. Additionally, future BTS development should target areas with high demand but medium suitability (900 km2) and medium demand but high suitability (280 km2). To validate the methodology, the Random Forest model was employed, which achieved an area under the curve value of 0.7315, indicating strong predictive performance. For the BTS Deployment Suitability parameter, the median was 0.65, with the lower and upper quartiles at 0.44 and 0.85, respectively, confirming that most proposed locations are highly suitable for development. This systematic approach provides data-driven insights for the equitable distribution of BTS towers to ensure efficient internet infrastructure expansion across Indonesia. Furthermore, the study offers a framework that can be adapted by other countries aiming to improve their digital infrastructure and achieve comprehensive, equitable internet access. © 2024 The Author(s)

    Keywords: Internet accessibility; Machine learning; Remote sensing; Spatial assessment

    This article can be accessed at https://www.scopus.com/pages/publications/85209593186

  • Visual Assessment of Landscape Elements at Summarecon Park, Bandung

    Visual Assessment of Landscape Elements at Summarecon Park, Bandung

    Author: Dhini Dewiyanti, Seftiyandi Kurniawan, Tri Widianti Natalia, Nova Chandra Aditya

    DOI: 10.1063/5.0254657

    Abstract

    Residential complexes usually have various complete facilities to support the comfort of their residents. One of them is a green open space or park, which in addition to functioning for reforestation of the area, is also usually used for various kinds of community activities. Several new residential complexes currently feature many regional parks with aesthetic and elegant designs, which of course are the ideas of developers with the aim of improving the image of the area as one of the well-ordered and prestigious settlements. The applied landscape elements usually consist of softscape and hardscape elements. The purpose of this research is to evaluate the visual value of the softscape and hardscape elements. The research was explored through field observations of the physical aspects and activities carried out by park users, which was then carried out on an assessment of the indicators determined based on the literature study. The activity was carried out in the Summarecon Park residential area, Bandung. The results of the assessment provide an indication of: 1) visual assessment; 2) garden use. © 2025 Author(s)..

    This article can be accessed at https://www.scopus.com/pages/publications/85219175875

  • Emerging Trends in Technology: Insights across Machine Learning, Digitalization, and Industry Applications

    Emerging Trends in Technology: Insights across Machine Learning, Digitalization, and Industry Applications

    Author: Senny Luckyardi, Euis Neni Hayati, Amirullah Abduh, Rosmaladewi R., Nuria Haristiani

    Abstract

    This study aimed to explore and analyse the emerging trends in technology, focusing on the applications of machine learning, digital transformation, and blockchain across various industries, with an emphasis on addressing key challenges, fostering innovation, and promoting sustainable solutions in business, education, and environmental conservation. This study employed various methodologies such as literature reviews, systematic analyses, and case-based designs. Key findings highlighted the application of machine learning techniques to predict cryptocurrency market trends despite its volatile nature, the potential of WebGIS technology in advancing environmental conservation efforts, and the role of blockchain in enhancing e-commerce security. The discussions also explored how these technologies are driving greater business efficiency, promoting environmental sustainability, and revolutionizing educational methods. Notably, this study emphasized the significance of adopting emerging technologies to tackle contemporary challenges, improve digital accessibility, and optimize both organizational and societal outcomes. Lastly, this study provided a comprehensive perspective on how technological advancements are shaping progress and delivering solutions across diverse industries. © School of Engineering, Taylor’s University.

    Keywords: Artificial intelligence; Bibliometric; Digitalization; Industry application; Machine learning

    This article can be accessed at https://www.scopus.com/pages/publications/85219044486

  • Geographic Information System (GIS) Application to Identify the Distribution of Tourist Attractions and Supporting Facilities Related to the Sustainable Development Goals (SDGs)

    Geographic Information System (GIS) Application to Identify the Distribution of Tourist Attractions and Supporting Facilities Related to the Sustainable Development Goals (SDGs)

    Author: Lia Warlina, Afredi A.

    Abstract

    The purpose of this research is to examine the distribution patterns of tourism attractions, hotels, and restaurants, and to explore their implications for achieving the Sustainable Development Goals (SDGs) in Lembang District. To analyze these distributions, a quantitative approach was applied using nearest neighbor analysis and Geographic Information System (GIS) techniques. A total of 38 tourism attractions were identified, including 17 natural attractions, 17 artificial attractions, and four cultural attractions; all exhibiting dispersed distribution patterns. There are 32 hotels with random distribution patterns and 178 restaurants that are clustered. Natural attractions are characterized by hilly terrain, forests, valleys, and rivers, which result in physical separation between some sites. In contrast, artificial and cultural attractions tend to be concentrated in more accessible areas, particularly along main routes. Notably, villages such as Cikahuripan, Cikidang, Mekarwangi, Suntenjaya, Wangunharja, and Wangunsari contain tourism attractions but lack adequate supporting facilities, including hotels and restaurants. The spatial allocation of tourism attractions, accommodations, and restaurants significantly influences the achievement of the SDGs. Tourism contributes to 14 of the 17 SDGs, especially SDG 8 (promoting economic opportunities), SDG 1 (reducing poverty), and SDG 5 (advancing gender equality). © 2026 Tim Pengembang Jurnal UPI.

    Keywords: GIS; Nearest neighbor analysis; SDGs; Tourism attraction

    This article can be accessed at https://www.scopus.com/pages/publications/105015322980

  • CALL FOR PAPERS – WACA CIPTA RUANG (WCR) Journal 2026

    CALL FOR PAPERS – WACA CIPTA RUANG (WCR) Journal 2026

    📌 DIRECTORATE OF JOURNALS AND SCIENTIFIC PUBLICATIONS

    📢📄 CALL FOR PAPERS – 2026 WACA CIPTA RUANG (WCR) Journal 📘 Volume 12 Issue 1

    WCR Journal invites academics, researchers, practitioners, and students to contribute their scholarly works in the fields of design, architecture, art, and the built environment.

    🎯 Focus & Scope: ✔️ Interior Design ✔️ Art & Culture ✔️ Interior & Architecture ✔️ The Built Environment (Limited to Space and Product Processing)

    📝 Submit your article via: 🔗 https://ojs.unikom.ac.id/index.php/waciptaruang

    📧 Email: wacaciptaruang@email.unikom.ac.id

    📚 ISSN: 📌 P-ISSN: 2301-6507 📌 E-ISSN: 2656-1824

    📞 Contact Person: Febry Maharlika – 0812 2610 0654

    ✍️ Let’s share ideas, research, and innovative works to advance the fields of design and spatial studies through reputable scholarly publication.

  • The Impact of Infrastructure Construction on Air Quality

    The Impact of Infrastructure Construction on Air Quality

    Brandon Nathanael M., Firzanah Iffah S., Halena Fauziah Z., Kinanti Fathaya R., Hasna Hamidah, Irfan Dwiguna Sumitra

    DOI: –

    Abstract

    In numerous major urban centres, there is a frequent occurrence of infrastructure development in response to the demands of a growing population. These kinds of operations request significant infrastructure investments. However, it is imperative to acknowledge that construction projects generate greenhouse gas emissions, which, in turn, exert a notable influence on pollution levels. This research project seeks to determine the extent to which infrastructure development affects air quality. To achieve this objective, we collected samples measuring carbon dioxide (CO2) and carbon monoxide (CO) levels at various locations within the study area. The research was conducted at three distinct time intervals: morning, afternoon, and evening. The findings of this investigation revealed disparities in CO2 and CO concentrations across these time periods. This research serves as a pivotal benchmark for quantifying the volume of pollution stemming from infrastructure construction activities and its consequential effects on the overall air quality. © School of Engineering, Taylor’s University.

    Keywords: Construction; Infrastructure; Pollution

    This article can be accessed at https://www.scopus.com/pages/publications/85204738020

  • Management Study Program of FEB UNIKOM Holds a Google Workspace-Based AI Workshop: Encouraging Adaptive and Competitive Graduates

    Management Study Program of FEB UNIKOM Holds a Google Workspace-Based AI Workshop: Encouraging Adaptive and Competitive Graduates

    BANDUNG, UNIKOM – The Management Study Program of the Faculty of Economics and Business (FEB) of Universitas Komputer Indonesia (UNIKOM) remains committed to providing learning relevant to technological developments. This commitment was realized through the Google Workspace Workshop themed “AI For Students: Skills You Need to Thrive in the AI Era” which was held on Saturday, January 24, 2026, at the Miracle Auditorium on the 4th floor of UNIKOM Campus I.

    Attended by 7th semester Management Study Program students, the workshop aimed to equip students with strategic skills in facing the era of artificial intelligence (AI), particularly in the context of academia and the professional world.

    The Head of the Management Study Program, Assoc. Prof. Dr. Raeni Dwi Santy, S.E., M.SI, CIMA., outlined the latest vision and mission of the Management Study Program, where the AI and Google Workspace workshop is a concrete implementation of the program’s vision and mission focused on strengthening economic and business competencies based on artificial intelligence and digital technology. “Google Workspace Day was held to optimize the utilization of UNIKOM’s collaboration with Google in supporting academic activities and the development of students’ digital competencies. With an emphasis on economic and business development based on artificial intelligence and digital technology,” she said. Furthermore, Assoc. Prof. Dr. Raeny emphasized that mastery of AI and digital literacy are important competencies that students must have in order to be able to utilize technology in data analysis, scientific writing, and decision making, so that graduates are ready to compete and adapt to the demands of the world of work in the digital era.

    The workshop directly supports the study program’s vision to become a center for the development of economic and business knowledge and practices that are adaptive to digital transformation and have a global perspective. The use of AI in academic activities reflects the institution’s commitment to responding to the dynamics of the professional world and industry, which increasingly demands mastery of smart technology.

    Meanwhile, the Dean of FEB UNIKOM, Prof. Dr. Siti Kurnia Rahayu, S.E. M.Ak., Ak, CA., in her opening remarks, fully supported the faculty and study program in strengthening technological and AI literacy in the academic environment. Prof. Siti Kurnia also stated that AI is expected to be used ethically to help students complete assignments, work on large projects, and improve learning effectiveness, particularly in the context of academic activities such as community service programs and digital competency development. “Through the Google Workspace workshop, FEB UNIKOM encourages the strengthening of the digital workforce among the academic community as part of the implementation of the institution’s vision, and appreciates the initiative of the Management Study Program, which is expected to be replicated by other study programs,” she concluded. 

    The activity then continued with a presentation session from the main speaker, Ahmad Fikri Zulfikar. In his presentation, he raised the topic “Gemini in Higher Education: AI Era Skill,” which discussed the use of AI technology, particularly Gemini in the Google Workspace ecosystem, as a tool to support learning, collaboration, and increase student productivity in higher education.

    On this occasion, participants were invited to understand how AI can be used ethically and effectively to support academic writing, data analysis, time management, as well as idea development and decision making. The enthusiasm of the participants was evident, especially during the discussion and Q&A session, which opened up a dialogue on the opportunities and challenges of using AI in education.

    Through this workshop, the Management Study Program provided students with a conceptual understanding of AI technology, and it is expected that students will be able to master practical skills relevant to industry needs. This activity is also part of UNIKOM’s efforts to produce graduates who are adaptive, innovative, and ready to compete in the era of artificial intelligence-based digital transformation.