Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal ELIT JOURNAL Electrotechnics And Information Technology ENTRIES
Muzakkir, Taufik
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Rancang Bangun Sistem Monitoring Tanaman Lidah Buaya Menggunakan ESP32 Berbasis IoT Hartanto, Hartanto; Hasan, Hasan; Muzakkir, Taufik; Yuwono Tharam , Medi; Ilyas, Mohd; Radwitya, Erick
Electrical Network Systems and Sources Vol 3 No 1 (2024)
Publisher : entries

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/entries.v3i1.1575

Abstract

Aloe vera grows at temperatures between 16-33°C. Growth is also strongly influenced by humidity. If the humidity of the environment is outside the limit, then the plant will be disrupted growth. For aloe vera plants, which are needed around 80%, the ideal soil humidity is 40%-60% and the ideal pH level for aloe vera plants is 4.5 - 7.0 optimum pH 5.5. The aloe vera plant monitoring system uses a DHT22 sensor, soil pH sensor, and Soil Moisture sensor connected to an ESP32 microcontroller. These sensors read temperature, air humidity, soil moisture, and soil pH. Based on the read values, the system regulates the fan, spotlight, and pH neutralizing pump as well as watering the soil automatically. The fan is turned on when the temperature exceeds 32 degrees Celsius, the floodlight when the air humidity exceeds 80%, and the pH pump activates when the soil pH is less than 4.5, the water pump also waters the soil when the soil moisture is less than 40%. Sensor data is displayed through the Blynk application and LCD making it easier to monitor aloe vera plants.
Rancang Bangun Prototype Solar Panel Cleaning Otomatis Berbasis Arduino Uno Ramadan, Bayu; Muzakkir, Taufik; Fadillah, Nurul
Jurnal ELIT Vol. 5 No. 2 (2024): Jurnal ELIT
Publisher : Jurusan Teknik Elektro Politeknik Negeri Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31573/elit.v5i2.872

Abstract

West Kalimantan Province has abundant renewable energy potential, especially solar energy generated through solar cells. Solar panels are the primary tools for converting sunlight into electricity, used for both household and public infrastructure purposes. This study designs an automatic cleaning system to overcome the challenges of manual cleaning, such as panel damage, work-related accidents, and spatial and distance limitations. The system uses wipers and water spraying, controlled by an Arduino Uno microcontroller equipped with an RTC DS3231 module. Test results show that the system can clean solar panels efficiently without the risk of damage or accidents. The voltage produced increased from 20.05V on dusty panels to 20.38V after cleaning with water and wipers, and reached 21.08V when the panels were clean and dry. This system has been proven to enhance the efficiency of solar panels.
Analisis Efisiensi Motor Induksi Tiga Phasa Rotor Sangkar Dengan Kondisi Pembebanan Yang Berbeda Rusman, Rusman; Suparno; Muzakkir, Taufik
Jurnal ELIT Vol. 7 No. 1 (2026): Jurnal ELIT
Publisher : Jurusan Teknik Elektro Politeknik Negeri Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Three-phase induction motors are AC electric motors widely used in both industry and household applications. Over time, these motors experience a decline in performance, including a reduction in torque and efficiency due to the deterioration of material resistance. One of the challenges in measuring the efficiency of induction motors during operation is the difficulty in measuring the motor's output parameters without disconnecting the motor from its load. This study aims to provide an alternative solution for measuring the efficiency of three-phase induction motors while they are in operation in industrial settings. The method used involves calculating the load as a percentage of the motor's rated output capacity, followed by current load estimation using the Line Current Measurement method. A digital power meter, LCD module for data display, and PLC as a control device were employed for monitoring. The study was conducted on a 1.1 kW three-phase induction motor, tested in the Electrical Engineering Laboratory at POLNEP. The results show that the developed measurement device can monitor the motor's parameters and display efficiency in real-time. The accuracy of the device is good within the load range of 65% to 76% of the rated capacity, but decreases at lower load levels. Comparison between the measured values and theoretical calculations indicates a low margin of error at specific load ranges, with the error increasing as the load decreases. The optimal load range for the motor is between 60% and 80% of its rated capacity.
Co-Authors hartanto hartanto Hasan Hasan Ilyas, Mohd Nurul fadillah, Nurul Radwitya, Erick Ramadan, Bayu Rusman Rusman Suparno Yuwono Tharam , Medi