Eko Kholid Affandi, Diana Rahmawati, Miftachul Ulum, Koko Joni, Dian Neipa Purnamasari, Muttaqin Hardiwansyah

Rancang Bangun Sistem Kontrol Suhu Dan Kelembapan Kandang Hamster Berbasis IoT (Internet Of Things)

Introduction

Rancang bangun sistem kontrol suhu dan kelembapan kandang hamster berbasis iot (internet of things). Rancang bangun sistem IoT untuk kendali suhu & kelembapan kandang hamster otomatis. Mencegah penyakit dengan metode Hybrid PID-ANN, memungkinkan monitoring & kontrol real-time.

Abstract

Hamsters are generally healthy creatures and can live about two years or more. They need a comfortable cage with a temperature of 17oC to 23oC and for humidity is 40 RH% to 70 RH% which sometimes these things are neglected by hamster owners. If the temperature and humidity are not appropriate it can cause disease in hamsters even to the death of hamsters.  So a tool is needed to stabilize temperature and humidity. In this system using the method (Hybrid Proportional Integral Derivative - Artifical Neural Network (PID-ANN) where the method is a combination of PID and ANN methods as a determinant of PID parameters, namely Proportional Constants, Integral Constants and Derivative Constants automatically with the help of ANN tuning. as temperature and humidity stabilizers. The inputs in this method are temperature and humidity obtained from the DHT22 sensor. While the output in this study is in the form of analog values for dimmer control controlling lux on incandescent lamps and humidifiers. This system is also based on the internet of things so that it can be monitored and controlled in real time. So that it can be used anywhere and anytime

Review

This paper presents a highly relevant and practical solution to a common challenge faced by hamster owners: maintaining optimal environmental conditions. The identified problem of temperature (17-23°C) and humidity (40-70% RH) neglect leading to hamster health issues is clearly articulated, providing a strong motivation for the developed system. The integration of Internet of Things (IoT) technology for real-time monitoring and control offers significant convenience and enhances the accessibility of pet care, allowing owners to manage their hamster's environment from anywhere and at any time. This addresses a real-world need with a modern technological approach. A significant strength of the proposed system lies in its sophisticated control methodology, utilizing a Hybrid Proportional Integral Derivative - Artificial Neural Network (PID-ANN) approach. This combination leverages the robustness of PID control with the adaptive and self-tuning capabilities of ANN to automatically optimize PID parameters, promising more precise and stable temperature and humidity regulation compared to traditional methods. The abstract clearly outlines the system's inputs (DHT22 sensor for temperature and humidity) and outputs (analog values for dimmer-controlled incandescent lamps for heating and humidifiers for humidity control), providing a good overview of the practical implementation and the chosen components. While the abstract provides a compelling overview, the full paper would benefit from further elaboration on a few points to fully appreciate the system's novelty and performance. Specifically, it would be valuable to understand the explicit advantages of the PID-ANN hybrid over a standalone PID controller in this specific application, perhaps in terms of faster response, better disturbance rejection, or handling non-linearities in the hamster cage environment. Furthermore, details regarding the ANN architecture, training data, and the specific metrics used to evaluate the system's performance (e.g., stability, accuracy, response time, energy efficiency) would strengthen the contributions. The mention of "lux on incandescent lamps" for temperature control implies a heating function, which should be explicitly clarified to avoid ambiguity, ensuring it's understood as heat regulation rather than light intensity control for illumination.

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