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All Journal Elektron Jurnal Ilmiah ALINIER: Journal of Artificial Intelligence & Applications Jurnal Rekayasa elektrika Emitor: Jurnal Teknik Elektro
Ardik Wijayanto
Politeknik Elektronika Negeri Surabaya
Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Rancang Bangun Bak Mandi Bayi Otomatis Menggunakan Logika Fuzzy Ardhana, Aliya Mitha; Wijayanto, Ardik; Rosalinda, Hanny Megawati; Gusti, Agrippina Waya Rahmaning
Elektron : Jurnal Ilmiah Volume 16 Nomor 1 Tahun 2024
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.0.0.455

Abstract

The temperature and the depth of water should be monitored during the process of bathing a baby. The acceptable temperature range for a baby's skin is very narrow, yet caregivers often pour water based on subjective estimation. Moreover, there are frequent cases of drowning during baby-bathing processes. This research aims to develop an automatic baby bathtub to facilitate safety and efficiency, by giving appropriate values of temperature and depth. The method used to control the temperature using fuzzy logic with two inputs: water temperature and depth. Meanwhile, the depth is controlled by a servo motor connected to a valve. Using fuzzy logic, Pulse-Width Modulation (PWM) signals—connected to the water heater, can be controlled so that the water reaches the desired temperature. Simulation implementation results show a similarity value of 99.72%, indicating the device accurately reads the temperature and the depth. Tests in real conditions show that the system functions well, with an average time of 2.99 minutes to increase the temperature by 2°C and 4.8 minutes for the valve to adjust the water depth.
Prototipe Sistem Pengkondisian Sirkulasi Udara Pada Lapangan Futsal Mini Dengan Metode Fuzzy Logic Uyun Amalia, Rahma; Wijayanto, Ardik; Rusminto, Tjatur Widodo
ALINIER: Journal of Artificial Intelligence & Applications Vol. 4 No. 1 (2023): ALINIER Journal of Artificial Intelligence & Applications
Publisher : Program Studi Teknik Elektro S1 ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/alinier.v4i1.6043

Abstract

The implementation of the New Normal is carried out in all aspects of community activities, to keep the body healthy it is necessary to do regular exercise. Futsal is one of the sports that is currently trending and is carried out in a sports hall, so that the futsal field building also needs to reach a new normal. In order to maintain the function of the futsal field as a healthy place, a system is needed to maintain air circulation in the futsal field. Air circulation in the futsal field needs to be controlled in order to maintain the air temperature at a certain temperature and minimize the impact of the spread of the covid19 virus by limiting the number of people in the futsal field building. The system built to realize this is by implementing air circulation control using fuzzy logic with temperature parameters and counting the number of people on the futsal field. The sensors used in this study are DHT22 which functions to measure temperature and IR (InfraRed) sensors which function as a counter for the number of people. The ESP32 module is used for sending data collected from sensor readings via the wifi network to android via the blynk application. The results of the research that has been done is that the Fuzzy control can work well, because it can maintain a temperature of no more than 31.97oC, whereas if you don't use the temperature control it will read 32.84oC and will continue to increase
Nutrition Temperature and TDS Control System with Fuzzy Logic on Pak Choy Hydroponics (Brassica rapa subsp. chinensis) Sanaba, Utari; Rokhana, Rika; Setiawardhana, Setiawardhana; Wijayanto, Ardik
Jurnal Rekayasa Elektrika Vol 20, No 3 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i3.34322

Abstract

Hydroponics is a method of cultivation that does not use soil as a medium, allowing it to be applied in limited spaces such as urban households. One of the vegetable plants that can be grown using hydroponics is pak choy (Brassica rapa subsp. chinensis). To produce healthy pak choy plants that can efficiently absorb nutrients in a hydroponic system, several factors need to be considered, such as the level of Total Dissolved Solids (TDS) in the nutrient solution, nutrient solution temperature, and air humidity in the hydroponic environment. The ideal nutrient solution temperature for hydroponic plants falls within the range of 25-27C. In this system, a monitoring and control system will be designed to optimize the growth of pak choy plants in a Deep Flow Technique (DFT) hydroponic system. In this system, the nutrient solution temperature will be controlled with a set point of 25C using an on/off control for a peltier device. To maintain the TDS level at a set point of 1200 ppm in the nutrient solution, fuzzy logic control will be employed, generating timer-based control signals for the nutrient pump A, nutrient pump B, and water pump. The monitoring system will be displayed on an Internet of Things (IoT) dashboard platform, such as ThingSpeak.
An Adaptive Automatic Braking System for Enhanced Road Safety : English Pratama, Wildan; Cahya Happyanto, Dedid; Wijayanto, Ardik; Alrijadjis, Alrijadjis; Madyono, Madyono
Emitor: Jurnal Teknik Elektro Vol 25, No 3: November 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i3.11378

Abstract

The fuzzy logic-based automatic braking system was developed to improve driving safety by reducing reliance on the driver's attention. The system integrates a LiDAR sensor for distance, a magnetic speed sensor for speed, and an ESP32 microcontroller as the main control. The advantage of this system lies in its ability to process data from various parameters adaptively and quickly using the rules of fuzzy logic. Communication between modules is supported by the CANBUS protocol to ensure fast and accurate data exchange. Tests show that the LiDAR proximity sensor has high accuracy with an average error of less than 1%. The speed sensor shows a consistent relationship between the frequency of the inverter and the speed of the car, with an average error of 7.1% on the deceleration. The fuzzy system successfully replicates MATLAB output with relatively few errors, and a more stable Duty Cycle setting than without fuzzy. This proves that the system is adaptive and responsive in a wide range of operational conditions.
Co-Authors Alrijadjis, Alrijadjis Ardhana, Aliya Mitha Cahya Happyanto, Dedid Gusti, Agrippina Waya Rahmaning Madyono, Madyono Pratama, Wildan Rokhana, Rika Rosalinda, Hanny Megawati Rusminto Tjatur Widodo Sanaba, Utari Setiawardhana, Setiawardhana Uyun Amalia, Rahma