Automatic Pet Feeder Rotational Model Using MQTT and Mobile Application

Automatic pet feeding systems with dispenser models have limitations on the type of feed that is only accomodate dry food, while pets (cats) with a tendency consuming dry food are prone to disease in the urinary system. This research focuses on designing a rotational model automatic pet feeding system that can accommodate both dry food and wet food, also set the feeding time through mobile applications via MQTT by utilizing an ESP32 microcontroller connected to a 5V stepper motor, RTC and load cell sensor. The system has success rate about 90% on pet feeding automation, but the container upper fold has difference angel about 5.4o with the expected position (error rate 6%). Every weight sensor has the successive error rates are 1.41% (1st feed block), 1.91% (2nd feed block), and 0.68% (3rd feed block). The Android application takes only 1-1.5 seconds to displaye the latest feed weight data.

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Publication Details

Journal
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi)
Published
2024-11-28
DOI
https://doi.org/10.24843/jim.2024.v12.i02.p04
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21
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article

Automatic Pet Feeder Rotational Model Using MQTT and Mobile Application

I Made Agus Dwi Suarjaya, Kadek Suar Wibawa, Putu Gede Krisna Mahadiputra
1 citations
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi)
IoT-based Smart Home Systems
0.21
article

Automatic Pet Feeder Rotational Model Using MQTT and Mobile Application

I Made Agus Dwi Suarjaya, Kadek Suar Wibawa, Putu Gede Krisna Mahadiputra
article en
1 citations

Abstract

Automatic pet feeding systems with dispenser models have limitations on the type of feed that is only accomodate dry food, while pets (cats) with a tendency consuming dry food are prone to disease in the urinary system. This research focuses on designing a rotational model automatic pet feeding system that can accommodate both dry food and wet food, also set the feeding time through mobile applications via MQTT by utilizing an ESP32 microcontroller connected to a 5V stepper motor, RTC and load cell sensor. The system has success rate about 90% on pet feeding automation, but the container upper fold has difference angel about 5.4o with the expected position (error rate 6%). Every weight sensor has the successive error rates are 1.41% (1st feed block), 1.91% (2nd feed block), and 0.68% (3rd feed block). The Android application takes only 1-1.5 seconds to displaye the latest feed weight data.

Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi)Vol. 12(2)
Udayana University (ID)
Openalex Percentile: Top 44%
IoT-based Smart Home Systems
0.21
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