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Implementation of Fuzzy Logic in Detecting Air Temperature Based on Microcontroller

Authors

  • Siti Sarah Harahap Program Studi Informatika, Universitas Satya Terra Bhinneka, Indonesia
  • Windi Saputri Simamora Program Studi Informatika, Universitas Satya Terra Bhinneka, Indonesia
  • Ryan Rinaldi Hadistio Program Studi Informatika, Universitas Satya Terra Bhinneka, Indonesia

DOI:

10.47709/brilliance.v3i2.3023

Keywords:

Fuzzy Logic, Microcontroller, Temperature

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Abstract

The environment, technology, and many facets of daily living are all significantly impacted by temperature conditions. Knowing environmental health, agriculture, industry, electrical technology, weather and natural disasters, transportation, and even scientific research are just a few of the many reasons why temperature conditions are crucial. Fuzzy algorithms are used to more flexibly process temperature data while creating a temperature detector employing fuzzy logic. We can base our conclusions on a wider range of criteria than merely right or wrong thanks to fuzzy logic. A temperature sensor, microprocessor, and display (such an LCD or LED screen) are some basic electronic components that can be used to create a temperature detector.

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References

Atma, U., Yogyakarta, J., Industri, F. T., Studi, P., & Informatika, T. (n.d.). Implementasi Metode Logika Fuzzy dalam Pembangunan Sistem Optimalisasi Lampu Lalu Lintas .

Bidar, M., Sadaoui, S., Mouhoub, M., & Bidar, M. (2017). Improving firefly algorithm performance using fuzzy logic. 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, 2017-Janua, 2111–2116. https://doi.org/10.1109/SMC.2017.8122931

Fuzzifikasi, J., Tujuan, A., & Bahan, B. A. (2016). JOBSHEET SISTEM CERDAS REASONING 2.

Harahap, S. S. (2019). Alat pemandu jalan untuk penyandang tunanetra menggunakan logika fuzzy berbasis mikrokontroler.

Infotama, J. M., Tetap, D., Ilmu, F., Universitas, K., & Bengkulu, D. (2013). METODE LOGIKA FUZZY TSUKAMOTO DALAM SISTEM PENGAMBILAN. 9(1).

Koroglu, Y., & Wotawa, F. (2019). Fully automated compiler testing of a reasoning engine via mutated grammar fuzzing. Proceedings - 2019 IEEE/ACM 14th International Workshop on Automation of Software Test, AST 2019, 28–34. https://doi.org/10.1109/AST.2019.00010

Lee, M. (2018). Dynamic Path Planning Based on an Improved Ant Colony Optimization with Genetic Algorithm. 2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP), 1–2.

Rahakbauw, D. L. (2015). PENERAPAN LOGIKA FUZZY METODE SUGENO BERDASARKAN DATA PERSEDIAAN DAN JUMLAH PERMINTAAN ( STUDI KASUS?: PABRIK ROTI SARINDA AMBON ) APPLICATION OF FUZZY LOGIC METHOD SUGENO TO DETERMINE THE TOTAL PRODUCTION OF BREAD ,. 9, 121–134.

Suhada, S., & Helmi, H. (2019). Aplikasi Mikrokontroler Atmega8535 Pada Robot Cerdas Pengangkut Tempat Sampah (Box) Menggunakan Sensor Warna Tcs3200. Jurnal Media Informatika Budidarma, 3(4), 293. https://doi.org/10.30865/mib.v3i4.1251

Tombeng, M., Tedjo, C. A., Lembat, N. A., Studi, P., Informatika, T., Klabat, U., Level, W., & Switch, F. S. (2018). Implementasi Sistem Pengontrolan Tower Air Universitas Klabat Menggunakan Mikrokontroler Implementation of Water Tower System Control of Universitas Klabat Using Microcontroller. Cogito Smart Journal, 04(01), 60–71.

Tonni Limbong, Muttaqin, Akbar Iskandar, Agus Perdana Windarto, Dr. Janner Simarmata, S.T., M.Kom, Mesran, Oris Krianto Sulaiman, M.Kom, Dodi Siregar, Dicky Nofriansyah, Dr. Darmawan Napitupulu, S.T., M.Kom, Anjar Wanto, M. K. (2020). Sistem Pendukung Keputusan: Metode & Implementasi (A. Rikki (ed.); Cetakan 1,). Yayasan Kita Menulis. https://books.google.co.id/books?id=t5PYDwAAQBAJ&printsec=copyright&hl=id&source=gbs_pub_info_r#v=onepage&q&f=false

Utara, U. S., Utara, U. S., & Utara, U. S. (2018). Pengembangan Smart Security Sistem Pada Kenderaan Bermotor Berbasis Mikrokontroller dan Android Menggunakan Logika Fuzzy.

Yurindra, Y., & Linda, L. (2018). Aplikasi Pemandu Menggunakan Sensor Ultrasonik Pada Tongkat Tuna Netra Berbasis Mikrokontroler Nano AT Mega 8. Jurnal Sisfokom (Sistem Informasi Dan Komputer), 4(1), 41. https://doi.org/10.32736/sisfokom.v4i1.202

Zulita, L. N. (2016). PERANCANGAN MUROTTAL OTOMATIS MENGGUNAKAN MIKROKONTROLLER ARDUINO MEGA 2560. 12(1), 89–98.

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ARTICLE Published HISTORY

Submitted Date: 2023-10-24
Accepted Date: 2023-10-24
Published Date: 2023-11-03

How to Cite

Harahap, S. S., Simamora, W. S., & Hadistio, R. R. (2023). Implementation of Fuzzy Logic in Detecting Air Temperature Based on Microcontroller. Brilliance: Research of Artificial Intelligence, 3(2), 155-161. https://doi.org/10.47709/brilliance.v3i2.3023

Issue

Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023

Section

Articles

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Copyright (c) 2023 Siti Sarah Harahap, Windi Saputri Simamora, Ryan Rinaldi Hadistio

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.