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All Journal Jurnal Otomasi Kontrol dan Instrumentasi Journal of Applied Smart Electrical Network and System (JASENS)
Rizky, Sofi Berliana
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Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Implementasi L ogika Fuzzy dan IoT untuk Pemantauan dan Optimalisasi Pengoperasian Lampu dan Pendingin Udara Rachman, Isa; Rinanto, Noorman; Khumaidi, Agus; Hafid, Mohammad Arigo Al.; Rizky, Sofi Berliana; Rafsanjani, Zainu
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 1 (2025): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2025.17.1.2

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,-.
Implementasi Logika Fuzzy dalam Perancangan Sistem Kontrol Kecepatan Motor Chain Conveyor Rizky, Sofi Berliana; Rachman, Isa; Ii Munadhif
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/j93p5q70

Abstract

Dalam sistem produksi industri, chain conveyor merupakan komponen penting untuk memindahkan material secara efisien. Namun, variasi beban secara dinamis dapat menyebabkan gangguan pada kinerja motor penggerak, seperti peningkatan arus dan suhu yang berisiko menyebabkan kerusakan. Penelitian ini bertujuan merancang sistem kontrol kecepatan motor chain conveyor berbasis logika fuzzy dengan metode Sugeno untuk mengatasi permasalahan tersebut. Sistem mengandalkan input dari sensor Load Cell (berat material), PT100 (suhu motor), dan PZEM-004T (arus listrik) yang diproses menggunakan aturan fuzzy. Keluaran sistem berupa sinyal kontrol untuk mengatur kecepatan motor melalui inverter. Perancangan dilakukan dengan integrasi sensor, ESP32, serta aktuator seperti relay dan motor servo, dengan pengaturan sinyal PWM yang dikonversi menjadi tegangan analog. Simulasi sistem menggunakan software Matlab menunjukkan bahwa logika fuzzy Sugeno mampu menentukan set point kecepatan motor secara akurat berdasarkan input aktual. Pada pengujian dengan berat material 900 gram, suhu motor 37,4°C, dan arus listrik 2,29 A, sistem berhasil menghasilkan frekuensi motor sebesar 25 Hz yang sesuai dengan perhitungan manual. Hasil ini menunjukkan bahwa metode fuzzy efektif dalam menyesuaikan kecepatan motor secara adaptif, serta meminimalisasi risiko overload pada motor dalam kondisi operasional yang berubah-ubah.
Co-Authors Agus Khumaidi Hafid, Mohammad Arigo Al. Ii Munadhif Rafsanjani, Zainu Rinanto, Noorman