Admin Website UNIKOM

Tag: UNIKOM Bandung Campus

  • 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

  • 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

  • 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

    Author: 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.

    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

  • Design and Build a Water Quality Measurement System with Multi Depths Using the RS-485 Protocol Based on Android Smartphone

    Design and Build a Water Quality Measurement System with Multi Depths Using the RS-485 Protocol Based on Android Smartphone

    Author: Anadita Rizti Oktavia; Jana Utama

    DOI: 10.1063/5.0176606

    Abstract :

    The management of water resources, especially lake or reservoir ecosystems, must be considered. What is currently happening is that the measurement of water quality in aquaculture is usually measured only on the surface of the water, because it will not always be above the water surface, so it is necessary to design a sensor system that can measure air conditions at various certain depths. System design sensors for physical and chemical air quality at multiple depths, where the sensors used are temperature sensors and pH sensors. To measure the depth of this system utilizes a pulley system which is inserted a rotary encoder. Where from the length of the rope being pulled/stretched it can be determined how many meters the depth is measured. In addition, the data obtained will be sent via the RS-485 protocol and saved to the Data Logger and this system is also equipped with a measurement location. All information will be accessible using an Android Smartphone using a local server via Bluetooth in the application that has been provided. The test results of the device consisting of a temperature sensor have an error of 1%, a pH sensor of 3.1%, and depth measurements using a rotary encoder have an error of 0.77%. Direct testing was carried out at 3 different locations and it was found that the difference in air depth affects the temperature and pH of the air where the deeper the air, the lower the temperature. Changes in the pH value to the depth of the air also have an effect because when you get a lot of heat intensity from sunlight, the surface temperature will increase, so the solubility of carbon dioxide will decrease so that the pH will also increase and the air is alkaline. © 2023 Author(s).This article can be accessed at https://www.scopus.com/pages/publications/85177584618

  • Computer Science Research in Indonesia to Create Sustainable Infrastructure for United Nations Sustainable Development Goals

    Computer Science Research in Indonesia to Create Sustainable Infrastructure for United Nations Sustainable Development Goals

    Authors: Eddy Soeryanto Soegoto, Brandon Nathanael Meliala, Senny Luckyardi, Bobi Kurniawan

    Abstract

    This study explored the role of computer science in advancing sustainable infrastructure in Indonesia, aligning with the United Nations Sustainable Development Goals (SDGs). As the country grapples with rapid urbanization, environmental challenges, and disaster resilience, emerging technologies such as Artificial Intelligence (AI), big data, the Internet of Things (IoT), and blockchain present innovative solutions. This research examined the studies using the Systematic Literature Review (SLR) from the past five years that focus on the application of computer science in sustainable infrastructure development in Indonesia. The study highlights contributions that align with the UN SDGs through a structured process of identifying, evaluating, and synthesizing relevant findings. Key findings reveal the potential of AI-powered smart grids, IoT-based environmental monitoring, and predictive analytics for disaster management. However, challenges such as infrastructure disparities, cybersecurity risks, and regulatory gaps remain significant barriers to adoption. The study emphasizes the need for more significant investment, stronger policies, and cross-sector collaboration to accelerate technology integration. By merging computer science with sustainability strategies, Indonesia can enhance infrastructure resilience, drive economic growth, and strengthen environmental protection. This research provides policy recommendations and insights for future studies, advocating a technology-driven approach to sustainable development. © School of Engineering, Taylor’s University.

    Author keywords

    Artificial intelligence (AI); Computer research; Digital infrastructure; Internet of things; Sustainable development goals

    This article can be accessed at https://www.scopus.com/pages/publications/105001481965