Rancang Bangun Kandang Rehabilitasi Hewan Peliharaan Berbasis Instrumentasi Pengukuran Dan Internet Of Things

Salsabila, Alfinda Aurell (2024) Rancang Bangun Kandang Rehabilitasi Hewan Peliharaan Berbasis Instrumentasi Pengukuran Dan Internet Of Things. Diploma thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemantauan kesehatan kucing wajib dilakukan oleh semua pemilik kucing, terutama ketika kucing mengalami gejala sakit ringan atau dalam masa rehabilitasi pasca pengobatan atau operasi, hal tersebut penting dilakukan agar kondisi dan kesehatan kucing dapat termonitor dengan baik. Hal lain yang perlu diperhatikan adalah memisahkan kucing yang sakit dengan kucing yang sehat. Hal tersebut dilakukan untuk mencegah penularan penyakit. Ketika kucing sedang sakit, biasanya hanya ditempatkan di kandang biasa. Namun, kandang biasa memiliki kelemahan, yaitu pemilik kucing tidak dapat memantau kondisi kucing secara optimal, terutama jika pemilik kucing tidak berada di rumah. Selain itu, kandang biasa bentuknya yang masih terbuka, sehingga memungkinkan interaksi kucing sehat dan kucing sakit. Interaksi ini dapat menimbulkan risiko penularan penyakit antar kucing. Oleh karena itu, dibuat inovasi berupa rancang bangun kandang rehabilitasi hewan peliharaan berbasis instrumen pengukuran dan internet of things (iot). Kandang ini memiliki fungsi utama untuk memantau kondisi kucing dalam pemantauan awal dan rehabilitasi pasca pengobatan atau operasi. Kandang ini dapat terhubung secara real-time melalui aplikasi android, agar pemilik dapat memonitor kondisi kucing dari jarak jauh. Desainnya yang tertutup dan transparan dapat mencegah penularan penyakit antar kucing dalam rumah. Fitur yang terdapat pada kandang ini meliputi sensor berat badan, suhu kandang, indikator makanan, indikator air minum, lampu uv, indikator kotak pasir, serta supply& exhaust fan sebagai sirkulasi udara dan lampu penghangat. Kandang ini menggunakan tiga jenis sensor yakni dua sensor single poin, dua sensor ultrasonik hc-sr04, dan sensor dht-22. Berdasarkan hasil validasi, sensor load cell 1 kg memiliki akurasi sebesar 97,15% dan error sebesar 2,85%, sedangkan sensor load cell 10 kg memiliki akurasi sebesar 97,40% dan error sebesar 2,6%. Sensor dht-22 memiliki akurasi sebesar 97,72% dan error sebesar 2,16%. Sensor ultrasonik air minum memiliki akurasi sebesar 97,7% dan error sebesar 2,3%, sedangkan sensor ultrasonik kotak pasir memiliki akurasi sebesar 98,5% dan error sebesar 1,5%.
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Monitoring the health of cats is mandatory for all cat owners, especially when the cat shows mild symptoms of illness or is in rehabilitation after treatment or surgery. This is important to ensure that the cat's condition and health are well monitored. Another thing to consider is separating sick cats from healthy cats to prevent the spread of disease. When a cat is sick, it is usually placed in a regular cage. However, regular cages have the drawback that cat owners cannot optimally monitor the cat's condition, especially if the owner is not at home. Additionally, regular cages are still open, allowing interaction between healthy and sick cats. This interaction can pose a risk of disease transmission between cats. Therefore, an innovation in the form of a Pet Rehabilitation Cage Based on Measurement Instruments and the Internet of Things (IoT) was created. The main function of this cage is to monitor the condition of cats during initial monitoring and rehabilitation after treatment or surgery. This cage can be connected in real-time through an Android application, allowing owners to monitor the cat's condition remotely. Its enclosed and transparent design prevents the transmission of diseases between cats in the house. Features of this cage include weight sensors, temperature sensors, food and water indicators, UV lamps, litter box indicators, as well as supply and exhaust fans for air circulation and heating lamps. The cage uses three types of sensors: two single-point sensors, two HC-SR04 ultrasonic sensors, and a DHT-22 sensor. Based on the validation results, 1 Kg load cell sensor has an accuracy of 97.15% and an error of 2.85%, while 10 Kg load cell sensor has an accuracy of 97.40% and an error of 2.6%. DHT-22 sensor has an accuracy of 97.72% and an error of 2.16%. Ultrasonic water sensor has an accuracy of 97.7% and an error of 2.3%, while ultrasonic litter box sensor has an accuracy of 98.5% and an error of 1.5%.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	Pemantauan Kesehatan Kucing, Kandang Rehabilitasi Hewan, IoT, Sensor, Inovasi Teknologi Hewan Peliharaan ======================================================== Cat Health Monitoring, Pet Rehabilitation Cage, IoT,Sensors, Pet Technology Innovation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Alfinda Aurell Salsabila
Date Deposited:	31 Jul 2024 13:01
Last Modified:	24 Sep 2024 06:07
URI:	http://repository.its.ac.id/id/eprint/111120

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