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Deteksi Penyakit Brown Eye Spot pada Daun Kopi Menggunakan Metode Euclidean Distance dan Hough Transform Ike Fibriani; Widjonarko; Catur Suko Sarwono; Firecky Dwika
Jurnal JEETech Vol. 1 No. 1 (2020): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jeetech.v1i2.120

Abstract

Pengolahan citra digital memiliki manfaat yang bisa digunakan dalam lingkup yang beragam, salah satunya dalam lingkungan perkebunan kopi. Dengan memanfaatkan pengolahan citra, citra daun yang didapat dalam perkebunan kopi, bisa diketahui jenis kopi beserta penyakit yang diderita. Untuk mengetahui jenis daun akan menggunakan metode euclidean distance, dimana daun yang digunakan sebagai objek penelitian merupakan daun kopi robusta dan daun kopi arabika. Untuk penyakit pada daun kopi terdapat berbagai macam, namun penyakit yang digunakan sebagai objek penelitian hanyalah penyakit brown eye spot. Pendeteksian penyakit dilakukan menggunakan metode hough transform, dikarenakan metode ini dapat digunakan untuk mendeteksi lingkaran yang merupakan gejala dari penyakit brown eye spot. Tujuan dalam penelitian ini yaitu untuk menganalisa keefektifan dari metode yang digunakan, yang pertama yaitu tingkat akurasi euclidean distance untuk mendeteksi daun uji coba antara daun kopi arabika dan daun kopi robusta. Metode yang kedua menganalisa tingkat keefektifan tingkat akurasi dalam pendeteksian penyakit brown eye spot pada daun uji coba menggunakan hough transform. Uji coba dilakukan terhadap 7 daun kopi arabika dan 4 daun kopi robusta menggunakan Matlab R2017a, dimana hasil tidak terjadi kekeliruan terhadap pendeteksian terhadap daun uji coba, ketujuh daun kopi arabika dikenali sebagai daun kopi arabika, dan keempat daun kopi robusta dikenali sebagai daun kopi robusta. Pada metode kedua untuk pendeteksian penyakit brown eye spot pada daun uji coba didapatkan keakurasian pada daun arabika sebesar 55% dan untuk daun kopi robusta sebesar 50%.
Sistem Monitoring Charger Baterai VRLA Menggunakan Switch Mode Power Supply Berbasis Internet Of Things Muhammad Alfarizqi; Widjonarko; Triwahju Hardianto
SinarFe7 Vol. 7 No. 1 (2025): SinarFe7-7 2025
Publisher : FORTEI Regional VII Jawa Timur

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

Abstract

The VRLA battery charging process using a Switch Mode Power Supply (SMPS) in this test plays a very active role in maintaining battery reliability. In the SMPS there are CC and CV that regulate a stable current at 1.8 Amperes and a voltage at 14.1 volts. Charging is integrated with the IoT system by utilizing Arduino mega communication with esp32 which is connected to the application for monitoring and controlling the cut-off relay. The esp32 Rx is connected to the Arduino mega tx and the esp32 tx is connected to the Arduino rx which makes both communicate two-way. Charging an 18Ah battery takes place for 2 hours and 16 minutes with an initial voltage of 13.44 volts, a stable current of 1.787 amperes, and a duty cycle of 21.24% in CC mode, while CV mode starts at a voltage of 14.1 volts with a current slowly decreasing to 0.3 amperes and approaching the automatic or manual cut-off relay switching mode to continue charging the 2nd battery, namely 5Ah. The 5Ah battery charging process is faster due to its smaller capacity and higher initial voltage compared to 18Ah, so the charging time is only 45 minutes. In this study, the cut-off relay switching and monitoring system works very well with a small error of 0.55% and a fast switching time of 1.3 seconds.
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.