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RANCANG BANGUN SISTEM PENDINGIN PANEL SURYA OTOMATIS UNTUK PENINGKATAN PEMANENAN ENERGI LISTRIK Kalandro, Guido Dias; Gumilang, Laksana Fajar; Sujanarko, Bambang; Muhammad Riza Darmawan; Setiabudi, Dodi; Moh. Erdianto Triputradi
Jurnal Arus Elektro Indonesia Vol. 11 No. 1 (2025)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v11i1.46455

Abstract

Potensi energi matahari sebagai sumber energi alternatif yang ramah lingkungan, khususnya dalam konteks penggunaan panel surya dan sistem pendingin otomatis. Eksperimen ini bertujuan merancang sistem otomatis pendingin panel surya dengan sirkulasi tertutup menggunakan Arduino Uno. Panel surya yang digunakan memiliki kapasitas 20WP berjenis polikristalin, dan sistem pendingin menggunakan pipa tembaga berdimensi 3/8 Inch dan panjang 6,11 meter dengan watercoolant sebagai pendinginnya. Hasil pengujian menunjukkan bahwa sistem pendingin berhasil menjaga suhu panel surya dalam rentang 33°C hingga 36°C, memberikan perbedaan 10°C hingga 20°C dengan panel surya tanpa pendingin pada intensitas cahaya yang sama. Panel surya berpendingin menunjukkan peningkatan tegangan, arus, dan daya, dengan rata-rata 1 Volt hingga 2 Volt, 0,1 ampere hingga 0,2 ampere, dan 1watt hingga 2 watt lebih tinggi. Efisiensi panel surya juga meningkat sekitar 1-3%. Penelitian ini memberikan kontribusi pada pemahaman tentang pemanfaatan energi matahari dan efektivitas sistem pendingin dalam meningkatkan efisiensi pemanenan energi listrik dari panel surya. Kata Kunci — Panel Surya, Sistem Pendingin Otomatis, Pipa Tembaga
Internet of Things-Based LoRa Air Quality Monitoring System in the University of Jember Hafifi, M Erick Lucky; Suko Sarwono, Catur; Cahyadi, Widya; Setiabudi, Dodi; Ceriana Eska, Andrita; Hadi, Widyono; Laagu, Muh. Asnoer
Jurnal Arus Elektro Indonesia Vol. 11 No. 1 (2025)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v11i1.53108

Abstract

In current environmental conditions, air quality is often underestimated even though it is crucial for the survival of living organisms. Good air quality that contains sufficient oxygen for breathing and photosynthesis, as well as stable carbon dioxide levels, is essential for humans, animals, and plants. Pollution factors such as motor vehicle exhaust, factory emissions, and waste burning can reduce air quality and thus have an indirect impact on the health of living beings. This research focuses on air pollution caused by carbon monoxide and carbon dioxide, using the Mamdani fuzzy method to determine uncertainty and vagueness values. An IoT system with two LoRa devices is used to monitor air quality, with data from sensors represented via MATLAB using fuzzy logic for more accurate results. LoRa device integration with Arduino and ESP32 can be used for accurate sensor reading and communication, ensuring proper data transmission between nodes and gateways for real-time monitoring and comparison of gas parameters at different locations. The reading results from the sensors and the monitoring results on the Blynk platform show identical values with 0% error from monitoring. For the percentage of ISPU values from simulation results in MATLAB compared to manual calculations, there is a difference of 1.12% when compared with the reading values from the sensors.
Penghitung Objek Karung di Konveyor Sabuk Berbasis Segmentasi dengan Teknik Thresholding Chaidir, Ali Rizal; Intyanto, Gramandha Wega; Setiabudi, Dodi; Wibowo, Dirgahayu Kusuma
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.