THE MONITORING SYSTEM OF INDOOR AIR QUALITY BASED ON INTERNET OF THINGS
The indoor air quality monitoring system is needed to find out good air condition. Good air condition can be seen from two (2) factors, namely dust, and temperature. Dust in a room can affect health if it exceeds the threshold of 0.15 mg/m3, and the temperature of 35oC has been determined by SK MENK...
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| Language: | English |
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Universitas Negeri Jakarta
2020-08-01
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| Series: | Spektra: Jurnal Fisika dan Aplikasinya |
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| Online Access: | https://journal.unj.ac.id/unj/index.php/spektra/article/view/16313 |
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| author | Agung Pangestu Muhammad Yusro Wisnu Djatmiko Ariep Jaenul |
| author_facet | Agung Pangestu Muhammad Yusro Wisnu Djatmiko Ariep Jaenul |
| author_sort | Agung Pangestu |
| collection | DOAJ |
| description | The indoor air quality monitoring system is needed to find out good air condition. Good air condition can be seen from two (2) factors, namely dust, and temperature. Dust in a room can affect health if it exceeds the threshold of 0.15 mg/m3, and the temperature of 35oC has been determined by SK MENKLH No.02/MENKLH/I/1998. Related to that, we need a system that can determine the temperature and dust conditions in a room. The aim of this research is creating an indoor air quality monitoring system based on the Internet of Things (IoT). This research uses engineering methods, which include planning, design, testing, and system implementation. In this system, when the dust level is more than 0.15 mg/m3 the LED indicator 1 and the active sprayer tell and neutralize the dust content in the air and when the intensity of the temperature is more than 35oC the LED indicator 2 and the active sprayer tell and neutralize the temperature intensity at the room. When both values exceed the set threshold, the LED indicators 1, LED 2, buzzer, the sprayer will be active simultaneously to notify and neutralize the air and temperature in the room. The test results show this system can work well with the percentage of errors in the testing of 12% for dust sensors and 1.6% for temperature sensors. |
| format | Article |
| id | doaj-art-7f1581d40cce461db889e8f0a5701a92 |
| institution | Kabale University |
| issn | 2541-3384 2541-3392 |
| language | English |
| publishDate | 2020-08-01 |
| publisher | Universitas Negeri Jakarta |
| record_format | Article |
| series | Spektra: Jurnal Fisika dan Aplikasinya |
| spelling | doaj-art-7f1581d40cce461db889e8f0a5701a922025-08-20T03:35:40ZengUniversitas Negeri JakartaSpektra: Jurnal Fisika dan Aplikasinya2541-33842541-33922020-08-015214115210.21009/SPEKTRA.052.0612083THE MONITORING SYSTEM OF INDOOR AIR QUALITY BASED ON INTERNET OF THINGSAgung Pangestu0Muhammad Yusro1Wisnu Djatmiko2Ariep Jaenul3Faculty of Engineering, Universitas Negeri Jakarta, 13220, East Jakarta, Jakarta, Indonesia Faculty of Engineering, Universitas Negeri Jakarta, 13220, East Jakarta, Jakarta, IndonesiaFaculty of Engineering, Universitas Negeri Jakarta, 13220, East Jakarta, Jakarta, IndonesiaDepartment of Electrical Engineering, Faculty of Engineering and Computer Science, Institut Teknologi dan Kesehatan Jakarta, 17411, Bekasi, Jawa Barat, IndonesiaThe indoor air quality monitoring system is needed to find out good air condition. Good air condition can be seen from two (2) factors, namely dust, and temperature. Dust in a room can affect health if it exceeds the threshold of 0.15 mg/m3, and the temperature of 35oC has been determined by SK MENKLH No.02/MENKLH/I/1998. Related to that, we need a system that can determine the temperature and dust conditions in a room. The aim of this research is creating an indoor air quality monitoring system based on the Internet of Things (IoT). This research uses engineering methods, which include planning, design, testing, and system implementation. In this system, when the dust level is more than 0.15 mg/m3 the LED indicator 1 and the active sprayer tell and neutralize the dust content in the air and when the intensity of the temperature is more than 35oC the LED indicator 2 and the active sprayer tell and neutralize the temperature intensity at the room. When both values exceed the set threshold, the LED indicators 1, LED 2, buzzer, the sprayer will be active simultaneously to notify and neutralize the air and temperature in the room. The test results show this system can work well with the percentage of errors in the testing of 12% for dust sensors and 1.6% for temperature sensors.https://journal.unj.ac.id/unj/index.php/spektra/article/view/16313indoor air qualitydusttemperatureiot |
| spellingShingle | Agung Pangestu Muhammad Yusro Wisnu Djatmiko Ariep Jaenul THE MONITORING SYSTEM OF INDOOR AIR QUALITY BASED ON INTERNET OF THINGS Spektra: Jurnal Fisika dan Aplikasinya indoor air quality dust temperature iot |
| title | THE MONITORING SYSTEM OF INDOOR AIR QUALITY BASED ON INTERNET OF THINGS |
| title_full | THE MONITORING SYSTEM OF INDOOR AIR QUALITY BASED ON INTERNET OF THINGS |
| title_fullStr | THE MONITORING SYSTEM OF INDOOR AIR QUALITY BASED ON INTERNET OF THINGS |
| title_full_unstemmed | THE MONITORING SYSTEM OF INDOOR AIR QUALITY BASED ON INTERNET OF THINGS |
| title_short | THE MONITORING SYSTEM OF INDOOR AIR QUALITY BASED ON INTERNET OF THINGS |
| title_sort | monitoring system of indoor air quality based on internet of things |
| topic | indoor air quality dust temperature iot |
| url | https://journal.unj.ac.id/unj/index.php/spektra/article/view/16313 |
| work_keys_str_mv | AT agungpangestu themonitoringsystemofindoorairqualitybasedoninternetofthings AT muhammadyusro themonitoringsystemofindoorairqualitybasedoninternetofthings AT wisnudjatmiko themonitoringsystemofindoorairqualitybasedoninternetofthings AT ariepjaenul themonitoringsystemofindoorairqualitybasedoninternetofthings AT agungpangestu monitoringsystemofindoorairqualitybasedoninternetofthings AT muhammadyusro monitoringsystemofindoorairqualitybasedoninternetofthings AT wisnudjatmiko monitoringsystemofindoorairqualitybasedoninternetofthings AT ariepjaenul monitoringsystemofindoorairqualitybasedoninternetofthings |