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All Journal Indonesian Journal of Geography Jurnal Pengajaran MIPA Jurnal Bahan Alam Terbarukan CHEMICA Jurnal Teknik Kimia Jurnal technoscientia JURNAL PIJAR Teknosains: Media Informasi Sains dan Teknologi Jurnal Pengajaran Matematika dan Ilmu Pengetahuan Alam OPSI Jurnal Zeolit Indonesia CHEMPUBLISH JOURNAL IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) Indonesian Journal of Chemistry Jurnal Mineral, Energi dan Lingkungan Chemistry Indonesian Journal of Chemical Research Jurnal Jejaring Matematika dan Sains Molluca Journal of Chemistry Education (MJoCE) Jurnal Mineral, Energi dan Lingkungan JURNAL TEKNOLOGI TECHNOSCIENTIA International Journal of Renewable Energy Development
Sri Juari Santosa
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics

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Bibliometric Analysis of Research Trends on Utilisation of Low-Cost Sensor (LCS) and Internet of Things (IoT) for PM2.5 Air Pollution Monitoring Santoso, M.Sc, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
Jurnal Mineral, Energi dan Lingkungan Vol 8 No 2 (2024): Jurnal Mineral, Energi dan Lingkungan Volume 8, No. 2 Tahun 2024
Publisher : Universitas Pembangunan Nasional (UPN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jmel.v8i2.14769

Abstract

This investigation elucidates the inadequacies inherent in conventional air pollution monitoring methodologies, advocating for the implementation of Low-Cost Sensors (LCS) and the Internet of Things (IoT) as pioneering alternatives, specifically for the surveillance of Particulate Matter 2.5 (PM2.5). Through the execution of a bibliometric analysis, this research endeavors to assess the evolution of academic literature from 2014 to 2023, discerning principal trends, notable authors, leading nations, and prospective avenues for research. The originality of this study is manifested in its recognition of a marked escalation in this domain, particularly since 2019, alongside the burgeoning significance of LCS and IoT as economically feasible solutions for air quality governance. Scholars from emerging nations, such as Indonesia, are underscored as possessing distinctive prospects to engage in this proliferating field of inquiry, particularly in the realm of environmental management. Metadata was systematically amassed via Scopus utilizing pertinent keywords and subjected to analysis employing Biblioshiny and Vosviewer software, uncovering a pronounced increase in publications, notably in 2022. Distinguished authors include Alam F, Ali S, and Potgieter J. The results suggest that forthcoming research and practical implementations of LCS and IoT for PM2.5 monitoring possess substantial promise, presenting a fruitful pathway for tackling air quality issues on a global scale.
Low-Cost Sensor Based on Internet of Things for PM₂¸₅ Air Quality Monitoring Santoso, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
Indonesian Journal of Geography Vol 57, No 2 (2025): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.104159

Abstract

The issue of air pollution, particularly that of particulate matter (PM2.5), has recently garnered significant global attention. However, the implementation of effective air quality management is frequently impeded by a dearth of adequate monitoring and measurement equipment. In Yogyakarta City and its surrounding areas, monitoring ambient air concentration, particularly PM2.5, remains difficult due to the limitations of monitoring tools such as Air Quality Monitoring System (AQMS). These tools are costly to operate, which further worsens the challenges. Therefore, this research aimed to design Internet of Things (IoT)-based Low-Cost Sensor (LCS) as an economical and reliable alternative to PM2.5 monitoring tools. Research and Development method was used with Plomp development model, which included investigation, design, calibration, as well as implementation. The results showed that IoT-based LCS followed the SNI 9178: 2023 standard with precision (SD 0.659 µg/m³; CV 23.59%), bias (slope 0.94; intercept 0.65 µg/m³), linearity (R² = 0.9), and RMSE 1.43 µg/m³. Moreover, the regression relationship between IoT-based LCS and AQMS was shown by the equation Y = 0.8633X + 2.7604, signifying a strong correlation between the two tools. During the analysis, IoT-based LCS appeared to be a promising solution for air quality monitoring, offering both effectiveness and affordability, with real-time data relevant to environmental management.. The IoT-based LCS has been designed simply, meets the calibration standards of SNI 9178:2023, and can be applied in suburban areas.
Bibliometric Analysis of Research Trends on Utilisation of Low-Cost Sensor (LCS) and Internet of Things (IoT) for PM2.5 Air Pollution Monitoring Santoso, M.Sc, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
Jurnal Mineral, Energi dan Lingkungan Vol 8 No 2 (2024): Jurnal Mineral, Energi dan Lingkungan Volume 8, No. 2 Tahun 2024
Publisher : Universitas Pembangunan Nasional (UPN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jmel.v8i2.14769

Abstract

This investigation elucidates the inadequacies inherent in conventional air pollution monitoring methodologies, advocating for the implementation of Low-Cost Sensors (LCS) and the Internet of Things (IoT) as pioneering alternatives, specifically for the surveillance of Particulate Matter 2.5 (PM2.5). Through the execution of a bibliometric analysis, this research endeavors to assess the evolution of academic literature from 2014 to 2023, discerning principal trends, notable authors, leading nations, and prospective avenues for research. The originality of this study is manifested in its recognition of a marked escalation in this domain, particularly since 2019, alongside the burgeoning significance of LCS and IoT as economically feasible solutions for air quality governance. Scholars from emerging nations, such as Indonesia, are underscored as possessing distinctive prospects to engage in this proliferating field of inquiry, particularly in the realm of environmental management. Metadata was systematically amassed via Scopus utilizing pertinent keywords and subjected to analysis employing Biblioshiny and Vosviewer software, uncovering a pronounced increase in publications, notably in 2022. Distinguished authors include Alam F, Ali S, and Potgieter J. The results suggest that forthcoming research and practical implementations of LCS and IoT for PM2.5 monitoring possess substantial promise, presenting a fruitful pathway for tackling air quality issues on a global scale.
Dynamic modeling in environmental planning: A global synthesis of research addressing urban air quality Santoso, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15177

Abstract

This research constitutes bibliometric analysis about the utilization of System Dynamics (SD) in mitigating air pollution. This project aims to investigate the use of system dynamics models in simulating and assessing urban transportation regulations, industrial emissions, and the incorporation of cleaner technology. The applied methodology encompasses a synthesis of current studies and the execution of bibliometric analysis to discern trends, prominent academics, and the most impactful papers in this domain. An exhaustive analysis of the current literature uncovered several significant findings. Investments in public transportation, the introduction of fuel taxes, and the advancement and deployment of sophisticated car technologies are recognized as essential solutions for mitigating air pollution. Case studies from places such Greater Cairo, Kuwait, Tehran, and Mexico City illustrate the efficacy of SD in forecasting long-term environmental consequences and facilitating adaptive policy.This research primarily contributes to the visualisation of the intellectual framework of the research domain, the identification of keyword clusters, and the elucidation of links between topics that may have previously lacked obvious mapping.  This research addresses a methodological deficiency by clearly illustrating how the combination of quantitative bibliometric analysis and systematic review can enhance comprehension of the developmental dynamics within a scientific subject.
Co-Authors - Jumaeri Abdillah, Guliston Agung Abadi Kiswandono Ahmad Nasir Pulungan Akhmad Syoufian Andung Bayu Sekaranom Bambang Rusdiarso Christina Tefa, Yoan Nikita Dewi Agustiningsih, Dewi Dian Hudawan Santoso Dwi Siswanta Dwi Siswanta Eddy Heraldy Eko Sri Kunarti Fitri Khoerunnisa Girsang, Ermi Hasnowo, Lutfi Aditya Hatmanto, Adhi Dwi Herdiansyah Herdiansyah Hilmi Hamidi Indriana Kartini Jumina Jumina Juniva Laila Sihombing, Juniva Laila Karna Wijaya Kustomo, Kustomo La Harimu Lingga Binagara Maya Rahmayanti Mudasir Mudasir Mustofa Mustofa Nurul Hidayat Aprilita Nurul Ismillayli Nuryono Nuryono Pambudi, Fajar Inggit Paweni, Astuti Pusaka, Semerdanta Puspitaningrum, Indah Rahmat Basuki Rahmayanti, Maya Sabirin Matsjeh Santoso, M.Sc, Dian Hudawan Sehol, Muhamad Sri Sunarsih Susy Yunita Prabawati Sutarno Sutarno Sutarno Sutarno Takashi Hayashita Uripto Trisno Santoso