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All Journal JIKO (Jurnal Informatika dan Komputer) Jurnal Riset Rekayasa Sipil JURNAL GEOGRAFI Geografi dan Pengajarannya Jurnal Kajian Ilmiah Jurnal Computer Science and Information Technology (CoSciTech) Multidiscience: Journal of Multidisciplinary Science
Evy Kusumaningrum
Institut Teknologi Yogyakarta
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Medicine & Pharmacology Physics Social Sciences

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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

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Analisis kualitas udara menggunakan internet of things di pintu perlintasan kereta api Kusumaningrum, Evy; Hermawan, Heru Bagus; Sumarsono; Hariyadi, Dedy
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6219

Abstract

The limited number of air quality sensors causes the presentation of Air Quality Index information to be not optimal. In principle, the installation of Air Quality Index sensors can provide input in air quality control and monitoring policies in an area. However, some places that have the potential to become local tourism or gathering places such as around the railroad crossing area do not have air quality sensors installed. Wind speed when trains pass can cause dust to scatter. Therefore, it is necessary to conduct further studies related to air quality around railroad crossings. Therefore, this research proposes to analyze and monitor air quality around railroad crossings in the Special Region of Yogyakarta based on the Internet of Things. In this study, the installed sensors functioned to monitor air quality at 3 locations that have different characteristics so that the data generated is also different. Based on the PM25 sensor, the air quality is categorized as Good 50% and Moderate 50%, while the PM10 sensor is categorized as Good 80% and Moderate 30%. The Internet of Things sensor built in this study is still not integrated in its recording between wind speed and air quality.
Implementasi Healthy Building Berbasis Internet of Things pada Taman Kanak-kanak Al Baraakah, RA Kreatif Kusumaningrum, Evy; Sumarsono, Sumarsono; Setiawan, Chanief Budi; Hariyadi, Dedy
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i3.8093

Abstract

The limited availability of air quality sensors leads to potential exposure to pollution that poses health risks. Monitoring of crucial clean air indicators, such as ISPU standards and emission requirements, as well as management of important aspects of healthy buildings such as ventilation, temperature, humidity, and security, are also inadequate. As a solution, this article proposes the development of an Internet of Things (IoT)-based smart school that utilizes advanced sensor technology to monitor and manage the condition of the educational environment in accordance with the healthy building foundation proposed by the Harvard T.H. Chan School of Public Health. With the integration of Tuya-based sensors and the use of HomeAssistant platform for automation, the implementation of this system in educational institutions such as TK Al Baraakah, RA Kreatif successfully created a healthier environment. As a result, better building conditions are achieved through real-time monitoring of vital parameters, forming a structured approach to creating safer and more comfortable schools for students and faculty. Monitoring and management can be shown on the Dashboard of the HomeAssistant platform.
Co-Authors Asnawi, Choerun Barep Setiyadi Chanief Budi Setiawan Choerun Asnawi Dedy Hariyadi Fazlurrahman Fazlurrahman Hermawan, Heru Bagus Jumiati Jumiati Lily Handayani Masduqi, Edy Nurokhman, Nurokhman Nurul Chotimah restu faizah Retno Susetyaningsih Rizky Andika Sumarsono Sumarsono Sumarsono Sumarsono