Fuzzy Logic and IoT Implementation for Optimizing and Monitoring AC and Lighting

https://doi.org/10.5614/joki.2025.17.1.2

Authors

  • Isa Rachman Jurusan Teknik Kelistrikan Kapal, Politeknik Perkapalan Negeri Surabaya, 60111, Surabaya, Indonesia
  • Noorman Rinanto Jurusan Teknik Kelistrikan Kapal, Politeknik Perkapalan Negeri Surabaya, 60111, Surabaya, Indonesia
  • Agus Khumaidi Jurusan Teknik Kelistrikan Kapal, Politeknik Perkapalan Negeri Surabaya, 60111, Surabaya, Indonesia
  • Mohammad Arigo Al. Hafid Jurusan Teknik Kelistrikan Kapal, Politeknik Perkapalan Negeri Surabaya, 60111, Surabaya, Indonesia
  • Sofi Berliana Rizky Jurusan Teknik Kelistrikan Kapal, Politeknik Perkapalan Negeri Surabaya, 60111, Surabaya, Indonesia
  • Zainu Rafsanjani Jurusan Teknik Kelistrikan Kapal, Politeknik Perkapalan Negeri Surabaya, 60111, Surabaya, Indonesia

Keywords:

electricity, lamp, AC, fuzzy logic , IoT

Abstract

Generally, the operation of lights and Air Conditioners (AC) in a room is still done manually and is not adjusted to actual needs or conditions. This can cause a waste of electrical energy, which increases electricity costs. This research aims to design a room light and temperature control system to optimize the operation of lights and air conditioners in accordance with SNI 6197:2011 concerning lighting standards and SNI T-14-1993-037 concerning thermal standards. The operation of the lamp is based on three light conditions, namely, dark, medium, and bright. The operation of the AC with three membership sets of temperature, namely, down, medium, and up, is the result of processing the Sugeno fuzzy logic method based on three membership sets of room temperature, namely, cold, normal, and hot, and also based on three membership sets of the number of people, namely, few, medium, and many. This system consists of an SHT20 temperature sensor, TSL2561 light sensor, HC-SR501 motion sensor, E3JK-S4M2 photoelectric sensor, and PZEM-004T electrical sensor as well as ESP32 microcontroller as the controller of TL light actuator and air conditioners actuator. The results of testing for two days at the PPNS Robotics and Artificial Intelligence Laboratory show that the designed system can reduce the use of electrical energy by 14.2 kWh, equivalent to Rp.7.512,44,- from 32.5 kWh, equivalent to Rp.33,950,- to 18.3 kWh, equivalent to Rp.26,438,-.

References

A. A. A. Setya, “Efisiensi energi listrik dalam upaya meningkatkan power quality dan penghematan energi listrik di gedung Universitas Ciputra (UC) Apartment Surabaya,” Teknol. Elektro, vol. 6, no. 3, 2017. [Online]. Available: https://ejournal.unesa.ac.id/index.php/jurnal-teknik-elektro/article%20/view/20972

P. Kartini, “Analisis statistik konsumsi energi listrik pada bangunan gedung yayasan Widya Dharma Pontianak,” Elkha, vol. 9, no. 2, p. 45, 2019. https://doi.org/10.26418/elkha.v9i2.25136

R. Syahputra, “Transmisi dan Distribusi Tenaga Listrik,” LP3M UMY, Yogyakarta, pp. 249–256, 2016. [Online]. Available: https://elektro.umy.ac.id/wp-content/uploads/2023/04/Ramadoni-Syahputra__Transmisi-dan-Distribusi-Tenaga-Listrik-diktat-2.pdf

Y. D. Aryandhi and W. Talakua, “Penerapan inferensi fuzzy untuk pengendali suhu ruangan secara otomatis pada Air Conditioner (AC),” Pros. FMIPA Univ. Pattimura, pp. 177–184, 2013. [Online]. Available: https://ejournal.unpatti.ac.id/ppr_iteminfo_lnk.php?id=518

N. Haniifah, Suhanto, and S. Hariyadi, “Simulasi kontrol monitoring lampu dan AC dengan Building Automation System (BAS) berbasis Internet of Things (IoT) di Asrama Alpha,” Approach J. Teknol. Penerbangan, vol. 4, no. 2, pp. 127–136, 2020. https://doi.org/10.46491/snitp.v4i1.758

S. R. Yahya et al., "Metode Fuzzy Logic," in Metode SPK Favorit di Masa Depan : Teori dan Contoh, pp. 11 - 28, 2023. [Online]. Available: https://www.researchgate.net/publication/370984161_METODE_SPK_FAVORIT_DI_MASA_DEPAN_Teori_dan_Contoh

M. Octaria and M. Irwan Padli Nasution, “Peluang dan tantangan penerapan Internet of Things (IoT) dalam sistem informasi manajemen,” J. Sist. Inf. dan Ilmu Komput., vol. 2, no. 2, pp. 87–93, 2024. https://doi.org/10.59581/jusiik-widyakarya.v2i2.3559

I. M. M. Parwita, “Sistem monitoring kondisi AC untuk menentukan waktu servis menggunakan algoritma K-Nearest Neighbor,” J. Sist. dan Inform., vol. 18, no. 2, pp. 148–158, 2024. https://doi.org/10.30864/jsi.v18i2.610

A. Puspabhuana and P. Y. D. Arliyanto. "Rancang Bangun Purwarupa Aplikasi Kendali Lampu Rumah (Smart Home) Berbasis Iot dan Android yang Terkoneksi dengan Firebase." Jurnal Inkofar, vol. 5, no. 2, 2021. https://doi.org/10.46846/jurnalinkofar.v5i2.203

R. Madhani, P. Zalmi, and G. Erlianti, “Pengaruh intensitas pencahayaan terhadap kenyamanan visual pemustaka di Perpustakaan Universitas Metamedia,” NIAN TANA Sikk., no. 6, 2024. https://doi.org/10.59603/niantanasikka.v2i6.560

Badan Standardisasi Nasional, “Konservasi Energi pada Sistem Pencahayaan,” Standar Nas. Indones., pp. 1–38, 2020. [Online]. Available: https://akses-sni.bsn.go.id/dokumen/2020/SNI%206197-2020/

I. K. Mardika and D. Sagala, “Kenyamanan termal dalam ruang pertemuan umum ditinjau dari aspek sirkulasi udara: studi kasus handep hapakat kabupaten pulang pisau”, J. Perspekt. Arsit., vol. 18, no. 1, pp. 31–41, Jun, 2023. https://doi.org/10.36873/jpa.v18i1.10811

A. H. M. Priyadi and W. Nurjayanti, “Evaluasi Pencahayaan Alami dan Kenyamanan Termal,” Semin. Ilm. Arsit., vol. 5, no. 2, 2024. [Online]. Available: https://proceedings.ums.ac.id/siar/article/view/4237

S. Amalia, “Pemodelan Sistem Pengontrolan Suhu Ruangan Berbasis Logika Fuzzy Mamdani,” J. Tek. ITP, vol. 10, no. 1, 2021. https://doi.org/10.21063/JTE.2021.31331006

M. B. Ginting, N. Sinuhaji, and I. M. B. Tarigan, “Sistem Kontrol dan Monitoring AC dengan Menggunakan Metode Fuzzy Mamdani Berbasis IoT”, Journal of Information System Research (JOSH), vol. 6, no. 1, pp. 371-385, Oct, 2024. https://doi.org/10.47065/josh.v6i1.5944

N. A. Santoso and W. Setiawati, “Penerapan Metode Logika Fuzzy dalam Menentukan Harga Gabah pada Petani,” REMIK Ris. dan E-Jurnal Manaj. Inform. Komput., vol. 7, no. 3, pp. 1355–1366, 2023. [Online]. Available: https://www.jurnal.polgan.ac.id/index.php/remik/article/view/12694

M. Irfan, L. P. Ayuningtias, J. Jumadi, “Analisa perbandingan logic fuzzy Metode Tsukamoto, Sugeno, dan Mamdani (Studi kasus : prediksi jumlah pendaftar mahasiswa baru Fakultas Sains dan Teknologi Universitas Islam Negeri Sunan Gunung Djati Bandung),” J. Tek. Inform., vol. 10, no. 1, pp. 9–16, 2017. http://dx.doi.org/10.15408/jti.v10i1.6810

Published

2025-04-30

How to Cite

[1]
I. Rachman, N. . Rinanto, A. Khumaidi, M. A. A. . Hafid, S. B. . Rizky, and Z. . Rafsanjani, “Fuzzy Logic and IoT Implementation for Optimizing and Monitoring AC and Lighting”, JOKI, vol. 17, no. 1, Apr. 2025.

Issue

Vol. 17 No. 1 (2025): Jurnal Otomasi Kontrol dan Instrumentasi

Section

Articles
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Copyright (c) 2025 Isa Rachman, Noorman Rinanto, Agus Khumaidi, Mohammad Arigo Al. Hafid, Sofi Berliana Rizky, Zainu Rafsanjani

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