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Rancang Bangun Generator A xial F lux Tiga Fasa dengan Magnet Permanen Neodymium (NdFeB) Rotor dan Stator Ganda untuk Pengisian Baterai 12 Volt Utami, Ayu Lista; Hadi, Widyono; Chaidir, Ali Rizal
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 9, No 2 (2023): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v9n2.84-98

Abstract

Kenaikan kebutuhan energi listrik seiring dengan kenaikan jumlah penduduk di Indonesia. Untuk mengurangi lonjakan biaya listrik diperlukan pengembangan generator agar menghasilkan listrik yang optimal dan lebih ekonomis. Penelitian ini bertujuan melakukan perancangan generator menggunakan magnet permanen neodymium (NdFeB) untuk proses pengisian baterai 12 volt dengan tipe generator axial flux rotor ganda dan stator ganda. Target tegangan pada penelitian ini lebih dari 12 volt. Hasil perancangan yang dilakukan menggunakan kawat email 0.5 mm menghasilkan jumlah kumparan 12 kumparan dengan 1000 lilitan setiap kumparan dan magnet 16 kutup dengan ukuran magnet 30x2 mm. Pengujian tanpa beban saat 2000 rpm menghasilkan tegangan sebesar 15,67 Volt AC atau 21,21 Volt DC dan saat 2765 rpm menghasilkan tegangan sebesar 22,03 Volt AC atau 29,32 Volt DC. Pengujian ketika berbeban pada kecepatan 2000 rpm menghasilkan 14,3 Volt AC atau 17,8 Volt DC dengan arus 0,01155A dan pada kecepatan 2765 rpm menghasilkan 19,12 Volt AC atau 24,29 Volt DC dengan arus 0,01593A. Proses pengisian baterai pada kecepatan 2000 rpm membutuhkan waktu 525 menit dan pada 2765 rpm membutuhkan waktu 270 menit. Hasil penelitian tersebut membuktikan bahwa semakin besar kecepatan putar generator maka tegangan dan arus yang dihasilkan akan semakin besar serta berbanding lurus dengan waktu pengisian baterai yang semakin cepat dan frekuensi kerapatan gelombang yang semakin besar. Bentuk gelombang sinusoidal yang dihasilkan saat tanpa beban terpotong ketika terjadi pengujian dengan beban. The increase in demand for electrical energy is in line with the increase in population in Indonesia. To reduce the surge in electricity costs, generator development is needed to produce optimal and more economical electricity. This research aims to design a generator using neodymium permanent magnets (NdFeB) for the 12 volt battery charging process with axial flux generator type double rotor and double stator. The target voltage in this study is more than 12 volts. The results of the design carried out using 0.5 mm enameled wire resulted in a coil count of 12 coils with 1000 turns of each coil and 16 cap magnets with a magnet size of 30x2 mm. Testing without load when rotating speed at 2000 rpm produces a voltage of 15.67 Volts AC or 21.21 Volts DC and when 2765 rpm produces a voltage of 22.03 Volts AC or 29.32 Volts DC. Testing when loaded at 2000 rpm produces 14.3 Volts AC or 17.8 Volts DC with a current of 0.01155A and at 2765 rpm produces 19.12 Volts AC or 24.29 Volts DC with a current of 0.01593A. The battery charging process at 2000 rpm takes 525 minutes and at 2765 rpm takes 270 minutes. The results prove that the greater the rotational speed of the generator, the greater the voltage and current produced and directly proportional to the faster battery charging time and the greater wave density frequency. The sinusoidal waveform produced when no load is truncated when testing occurs with a load.
Incubator for Joper Day Old Chicks with Cohen-Coon PID Controller Chaidir, Ali Rizal; Widjonarko; Bukhori Muslim
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 3: November 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n3.1236.2025

Abstract

Joper (Jowo Super) chicken parents are generally unable to incubate eggs or provide adequate care for their offspring, making the use of a specialized incubator essential from the hatching phase to Day-Old Chick (DOC) rearing. One of the primary factors contributing to DOC mortality is improper temperature adjustment in the heating system. To ensure optimal early-age development, Joper DOC requires a stable thermal environment within the range of 32°C to 35°C, depending on the growth stage. This study aims to develop an incubator capable of maintaining a constant temperature of 32 °C using Cohen-Coon PID (C-C PID) control while also regulating humidity levels. The proposed incubator integrates an axial fan and an L298N driver, with the temperature and humidity sensors calibrated prior to use. The calibration results show measurement errors of 0.59% for temperature and 5.02% for humidity, indicating high reliability. The application of C-C PID control demonstrates strong performance, characterized by a short rise time (approximately 225 seconds), an acceptable settling time (around 510 seconds), minimal overshoot (1.56%), and a steady-state error approaching 0%. During a 30-minute evaluation period, the system successfully maintained a stable temperature at the 32 °C set point and controlled humidity at below 50% automatically. Furthermore, the incubator design proved effective in practical use, achieving a 0% mortality rate for Joper DOC.
Design of 2x1 Microstrip Antenna Array Single Band with Proximity Coupling for Enhanced CCTV Performance Setiabudi, Dodi; Agustina, Citra; Syaifullah, Muh. Arif; Sarwono, Catur Suko; Herdiyanto, Dedy Wahyu; Chaidir, Ali Rizal; Laagu, Muh Asnoer
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 1, February 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i1.2303

Abstract

The increasing demand for reliable wireless communication in modern surveillance systems, particularly Closed-Circuit Television (CCTV), requires the development of antennas with high efficiency, wide bandwidth, and stable signal performance. To meet these requirements, this study presents the design and analysis of a 2×1 microstrip array antenna with rectangular patches that use proximity coupling, optimized for operation in the 2.4 GHz ISM band. The antenna was designed and simulated using CST Studio Suite to evaluate its electromagnetic characteristics, while measurements using a Vector Network Analyzer (VNA) were performed to validate the performance of the manufactured prototype. Simulation results show that the antenna achieves a reflection loss of −24.62 dB, a standing wave ratio (VSWR) of 1.12, and a frequency bandwidth of 159 MHz, indicating good impedance matching and wide operational capability. Meanwhile, measurement results showed a reflection loss of −12.59 dB, a VSWR of 1.15, and a frequency bandwidth of 86 MHz. Both simulation and measurement results showed directional radiation patterns, ensuring efficient energy radiation and better signal focus for monitoring coverage. The designed antenna also shows a measured gain of 9.25 dBi, exceeding the simulated gain of 6.99 dBi, confirming improved performance. The difference between simulation and measurement is mainly due to variations in substrate thickness, material tolerance, and environmental factors during testing. Overall, the proximal coupling approach has proven effective in improving coupling efficiency without adding design complexity. This antenna is well-suited for reliable and efficient data transmission in CCTV applications. Furthermore, the findings contribute significantly to advancements in antenna technology, particularly in the domains of wireless communication, IoT, and smart city-based surveillance systems.
Penghitung Objek Karung di Konveyor Sabuk Berbasis Segmentasi dengan Teknik Thresholding Ali Rizal Chaidir; Gramandha Wega Intyanto; Dodi Setiabudi; Dirgahayu Kusuma Wibowo
JURNAL INFOTEL Vol 17 No 3 (2025): August
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i3.1228

Abstract

Automation technology provides better outcomes from the perspective of time efficiency, material usage, and reducing error rates in a process. Sensors and visual sensing are components or methods frequently used in industrial automation systems. Visual sensing methods can replace simple tasks typically performed by an operator's vision in the industry, such as counting specific objects. Object counting algorithms are adapted to the type of object being counted; for example, counting fish objects and counting sack objects on a conveyor belt require different algorithms. Operators who are tired or unfocused can cause errors in counting objects like sacks on a conveyor belt, leading to financial losses. The main component used in this automatic counting system is a webcam. Each image frame is captured and processed in a computer to obtain parameters used as the basis for counting sack objects. The counting results are displayed on a monitor to facilitate the operator's view of the output. The method used is segmentation with a thresholding technique, which allows the separation of sack objects from the conveyor. The application of the segmentation method produces accurate counts; a total of 21 sack objects on the conveyor belt were counted without errors using this method. The use of filters did not affect the counting results, while the area size did. An area size of 50x50 provided the most accurate counting results and the best FPS (Frames Per Second) compared to other area sizes. This technique can ensure that the calculation process does not cause errors that result in losses.
Classification of Oranges Based on Their Quality Using the YOLOv5 Algorithm muldayani, wahyu; Ali Rizal Chaidir; Sumardi; Dodi Setiabudi; Aabid Nabhaan
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16255

Abstract

Indonesia, as an agrarian country, has a wide variety of horticultural commodities, one of which is mandarin orange (Citrus reticulata). Post-harvest handling, particularly the sorting process based on fruit ripeness and defects, plays an important role in maintaining product quality and market value. However, manual sorting is considered inefficient because it is repetitive, highly dependent on operator subjectivity, and prone to inconsistency. Several studies report those manual methods can result in classification error rates exceeding 20% and longer processing times compared to computer vision-based systems. This study develops an automatic citrus fruit quality classification system using the YOLOv5 algorithm. The dataset consists of 703 citrus fruit images captured directly using a webcam under varying lighting intensities and color conditions, and is divided into 80% training data and 20% testing data. The classification is performed into three quality categories: ripe, unripe (green), and rotten oranges, based on the visual characteristics of the fruit peel. Experimental results show that a training configuration with 300 epochs, a batch size of 40, and warm white bright lighting conditions achieves the best performance. Real-time testing on 15 citrus fruits yields an average accuracy of 78.2%, indicating the potential of the proposed system as an initial sorting aid, despite limitations related to lighting conditions and the amount of test data.