Rancang Bangun Pemantau Suhu dan Kelembapan di Kota Depok dengan Metode Fuzzy Logic Berbasis Arduino

Authors

DOI:

https://doi.org/10.35870/jtik.v8i1.1449

Keywords:

UHI, Ardiuno UNO, Fuzzy Logic, DHT11

Abstract

In the current era, development occurs very rapidly. Global warming is something that has just been heard a few years ago. This has an impact on human life, especially in urban areas. UHI is part of the temperature rise phenomenon that occurs in urban areas and is caused by isolated locations (different conditions) that have higher surface or air temperatures than the surrounding areas in measurements using an Arduino device. UHI has a negative impact because it causes changes in air quality and affects human health, energy use, and climate change. This research aims to build a temperature and humidity measurement system that analyzes UHI. The research parameters used were temperature and humidity. This research uses the fuzzy logic method. This study has an absolute error value of ± 1 oC.

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Author Biographies

  • Wildan Ikbar Pratama, Nasional University

    Fakultas Teknologi Komunikasi dan Informasi, Universitas Nasional, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia

  • Andrianingsih, Nasional University

    Fakultas Teknologi Komunikasi dan Informasi, Universitas Nasional, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia

References

Rajasekar, U. and Weng, Q., 2009. Urban Heat Island monitoring and analysis using a non-parametric model: A case study of Indianapolis. ISPRS Journal of Photogrammetry and Remote Sensing, 64(1), pp.86-96. DOI: https://doi.org/10.1016/j.isprsjprs.2008.05.002.

Salam, A. and Salam, A., 2020. Internet of Things for environmental sustainability and climate change. Internet of Things for sustainable community development: Wireless communications, sensing, and systems, pp.33-69. DOI: https://doi.org/10.1007/978-3-030-35291-2_2.

Stenhouse, N., Maibach, E., Cobb, S., Ban, R., Bleistein, A., Croft, P., Bierly, E., Seitter, K., Rasmussen, G. and Leiserowitz, A., 2014. Meteorologists' views about global warming: A survey of American Meteorological Society professional members. Bulletin of the American Meteorological Society, 95(7), pp.1029-1040. DOI: https://doi.org/10.1175/BAMS-D-13-00091.1.

Tan, L. and Wang, N., 2010, August. Future internet: The Internet of Things. In 2010 3rd international conference on advanced computer theory and engineering (ICACTE) (Vol. 5, pp. V5-376). IEEE. DOI: https://doi.org/10.1109/ICACTE.2010.5579543.

Niari, R., Asyik, B. and Zulkarnain, Z., 2013. Faktor-faktor Pendorong dan Penarik yang Menyebabkan Penduduk Suku Banten Bermigrasi (Skripsi, Lampung University).

Astati, A., 2015. Prosiding Seminar Nasional Mikrobiologi Kesehatan dan Lingkungan. Prosiding Seminar Nasional Mikrobiologi Kesehatan dan Lingkungan.

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Published

2024-01-01

Issue

Section

Computer & Communication Science

How to Cite

Pratama, W. I., & Andrianingsih. (2024). Rancang Bangun Pemantau Suhu dan Kelembapan di Kota Depok dengan Metode Fuzzy Logic Berbasis Arduino. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 8(1), 210-217. https://doi.org/10.35870/jtik.v8i1.1449

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