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Design of temperature control system in rotary type cloth dryer to optimize drying time Ragani, Nabilla Sukama; Aisyah, Putri Yeni; Hija, Akhmad Ibnu; Ashiddiqi, Muhammad Roy; Pratama, I Putu Eka Widya
Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Vol 4 No 2 (2025): December
Publisher : Faculty of Vocational Studies - Research Center, DRPM ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213560.v4i2.9359

Abstract

Erratic climate change and limited drying space in apartments lead to an inefficient clothes drying process. Commercial clothes dryers are often sub-optimal in terms of drying duration and energy efficiency. Clothes dryer technology without dependence on solar energy has been widely circulated, but has disadvantages, such as long drying time and high price. This research develops a temperature control system on a prototype rotary-type clothes dryer to optimize drying time. The dimensions of the prototype are 0.65 cm x 0.70 cm x 90 cm, the power consumption of the cloth dryer is 598.4 watts, using a DHT22 sensor to control the temperature. The motor speed rotates at 730-790 rpm, with the fan rotating constantly, and the heater has temperature set points of 43°C (upper) and 45°C (lower). The system applies an on-off control method to achieve the desired temperature set point. The test results show that the temperature control system in the clothes dryer with the on-off method is successful with an error rate of 0.74% for a mass of 1 kg of clothes. This error rate meets the set standard of no more than 5%, indicating that the on-off control system works as expected.
Implementation Of Fuzzy Logic in The Dissolved Oxygen and pH Control System to Reduce the Risk of Death of Cyprinus Carpio Fish Setyabudi, Jinan Elvaretta Aqilah; Aisyah, Putri Yeni; Fitriyanah, Dwi Nur; Radhy, Ahmad; Pratama, I Putu Eka Widya; Wiratama, Maulana Andra
IPTEK The Journal of Engineering Vol. 11 No. 2 (2025)
Publisher : Pusat Publikasi Ilmiah, Institut Teknologi Sepuluh Nopember.

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Abstract

Cultivation of Cyprinus carpio, commonly known as the goldfish, in aquariums requires strict monitoring of water quality to maintain the fish's health and ensure its survival. Key parameters such as dissolved oxygen and pH greatly affect the aquatic environment, where imbalances can lead to stress or death. This study aims to design and implement a dissolved oxygen and pH control system using fuzzy logic as an alternative to traditional PID-based or rule-based systems commonly used in aquaculture. The proposed system automatically detects water conditions (LOW, NORMAL, HIGH) and activates appropriate control responses. It integrates an SEN0237 dissolved oxygen sensor, an E-201C pH sensor, aerators, dosing pumps, and an Arduino-based microcontroller. Sensor data is processed via fuzzy inference to operate actuators—either to increase oxygen levels or inject buffer solutions for pH normalization. Unlike previous studies that focus on single-parameter control or fixed-response systems, this system offers a dual-parameter adaptive control approach. Experimental validation shows that the system maintains pH at 6–7 and DO at 3–4 mg/L, with sensor accuracy exceeding 95%. Over 10 days, fish survival improved in the controlled aquarium (7/10) compared to the uncontrolled aquarium (5/10). The system demonstrates potential to reduce water quality fluctuations, offering hope for a more stable aquaculture environment. This work contributes to the application of fuzzy logic in small-scale innovative aquaculture systems, highlighting its potential advantages over conventional methods.