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Smart Bird Cage Based on STM32 for Turtledove Bird Using Solar Panel Hakim, Oktafian Sultan; Rifadil, Mochammad Machmud; Putra, Putu Agus Mahadi
Interdisciplinary Social Studies Vol. 1 No. 3 (2021): Reguler Issue
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v1i3.43

Abstract

Background: One type of bird that is widely bred and maintained is the turtledove. At turtledove breeding, bird cage maintenance is still done manually for cage lighting, feeding and drinking. Manual maintenance of the cage will make it difficult for farmers who have a fairly busy schedule or often leave the house. Aim: For that reason, the authors decided to make a Smart Bird Cage. Method: In this study, the authors used STM32F4 Discovery and ESP8266 as control centers via smartphones. The sensors that will be used are the temperature sensor and the Light Dependent Sensor (LDR). The outputs are 5 volt dc motor, 5V dc pump motor, buzzer and exhaust fan using on/off control with internet of things (IoT). While the control system for heating the cage uses the PWM control method on the AC module control for the brightness level of incandescent lamps. Findings: The results of this study are the temperature in the bird cage is controlled with a heating lamp that turns on when the temperature is below 30 oC and with the IoT system used by farmers, they do not have to worry about managing bird cage consumption when outside the city.
Design of an EBNN-PID based adaptive charge controller for variable DC charging applications Rifadil, Mochammad Machmud; Putra, Putu Agus Mahadi; Muklis, Amalia
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2634-2644

Abstract

This paper presents an adaptive charging system for lithium-ion batteries using an Elman backpropagation neural network (EBNN) integrated with a PID controller and a ZETA converter. The system dynamically identifies the battery type and adjusts the charging voltage accordingly. The EBNN model was trained using 1441 samples of initial current and voltage data, achieving a mean squared error (MSE) of 7.64×10⁻¹⁴. A ZETA converter enables both step-up and step-down voltage regulation, while the PID controller ensures stability toward the predicted setpoint. Simulations in Simulink were conducted on four lithium-ion battery types with setpoints of 4.4 V, 8.8 V, 14.4 V, and 21.6 V. The results show that the PID-regulated output voltage closely matches the target with a maximum deviation of ±0.05V and an average voltage error of 0.1725%. The system achieves fast response times between 0.015 and 0.033 seconds. Extended testing through 24 randomized trials confirmed consistent identification and regulation across varying battery types. These findings validate the proposed EBNN-PID-based charging system as a highly accurate, flexible, and efficient solution for managing lithium-ion battery charging in real-time embedded applications.
Design of a Rice Drying System Prototype Based on PLC Simatic S7-1200 Mochammad Machmud Rifadil; Suryono; Ferry Astika Saputra; Achmad Akhdanizar Rafli
Jurnal Serambi Engineering Vol. 11 No. 1 (2026): Januari 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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

Abstract

Rice drying in Indonesia generally still uses conventional methods by utilizing sunlight. However, weather changes often become obstacles, hampering the drying process. This research designed an automatic rice dryer based on PLC that uses PLN electricity as a power source and a heater as the heating element. The system is equipped with a sensor to monitor the moisture content of the rice so that the heater automatically turns off when the rice is dry. A DC motor is used as a drive to move the rice during the drying process. PLC programming is carried out using TIA Portal software with ladder diagram language. Based on testing for 33 minutes, the drying temperature increased from 30.7°C to 33.29°C, while the moisture content of the rice decreased from 21.20% to 13.54%, and the rice weight decreased from 1000g to 919g. These results indicate that the PLC-based drying system can control the rice drying process in a stable and effective manner. This tool is expected to be widely implemented on an agricultural scale to improve rice quality efficiently and reduce dependence on unpredictable weather conditions.
Alat Pendeteksi Gangguan Dini Berbasis Suhu Pada Marshalling Kiosk Di Gardu Induk Menggunakan Media Informasi SMS Putu Agus Mahadi Putra; Moch. Reza Naufal Ifandar; Kadek Amerta Yasa; I Made Purbhawa; Farid Dwi Murdianto Murdianto; Andhik Ampuh Yunanto; Luki Septya Mahendra; Mochammad Machmud Rifadil
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p02

Abstract

Pada Gardu Induk terdapat Marshalling Kiosk yang berfungsi sebagai kontrol peralatan di Gardu Induk apabila dispatcher dan kontrol lokal gagal melakukan manuver, karena pada panel ini terdapat banyak sambungan serta komponen yang digunakan sebagai kontrol berpotensi terjadi overheat pada panel karena disipasi panas ataupun sistem pendingin rusak dimana berdasarkan IEC 61439 batas ambient temperatur yang diizinkan ialah 40°C, dan dapat terjadi gangguan lain berupa api yang dapat diakibatkan High Resistance Connection (HRC) karena sambungan longgar, gangguan – gangguan tersebut dapat menggangu saat manuver peralatan. Saat ini PT PLN belum memiliki alat yang mampu mendeteksi adanya gangguan pada panel Marshalling Kiosk oleh sebab itu pada penelitian ini dibuat alat yang mampu mendeteksi adanya gangguan berupa suhu menggunakan LM35, api menggunakan sensor api 5 channel, dan asap menggunakan sensor MQ2 pada Marshalling Kiosk dengan media informasi SMS dan lampu indikator sebagai penunjuk jenis gangguan serta buzzer sebagai alarm.