Design Sistem Kendali Temperature Otomatis dan Fitur “Baby Monitoring” dengan IoT pada Inkubator Bayi Grashof Type G – 62

Nofriyadi, Nofriyadi (2019) Design Sistem Kendali Temperature Otomatis dan Fitur “Baby Monitoring” dengan IoT pada Inkubator Bayi Grashof Type G – 62. Undergraduate thesis, Universitas Internasional Batam.

[img] Text
s-1521012-abstract-en.pdf

Download (625kB)
[img] Text
s-1521012-abstract-id.pdf

Download (622kB)
[img] Text
s-1521012-bibliography.pdf

Download (789kB)
[img] Text
s-1521012-chapter1.pdf

Download (885kB)
[img] Text
s-1521012-chapter2.pdf

Download (955kB)
[img] Text
s-1521012-chapter5.pdf

Download (639kB)
[img] Text
s-1521012-cover-id.pdf

Download (36kB)

Abstract

Riset ini ditujukan untuk mendesain sistem kontrol otomatis pada inkubator bayi Grashof type G-62. Dengan menggunakan Logika Fuzzy, berat bayi dan kelembaban kabin diset sebagai input. Dalam fungsi waktu, parameter-parameter yang dikontrol selama pengoperasian inkubator bayi tersebut adalah berat, detak jantung, suhu badan, kelembaban dan suhu kabin. Semua nilai parameter ini kemudian ditransmisikan secara real time melalui fitur Internet of Thing (IoT) yang disematkan pada sistem. Metode Filter Kalman diaplikasikan untuk mengurangi error pada pembacaan sensor berat load cell. Sistem kontrol berhasil menginterpretasikan secara akurat kombinasi input berupa data berat bayi dan kelembaban kabin untuk kemudian menyesuaikan suhu kabin yang ideal bagi bayi ********************************************************************** This work is aimed to design an automatic control system on the Grashof baby incubator Type G – 62. With use of fuzzy logic, the weight of the baby and cabin humidity are set to be the inputs. Over time, parameters controlled during the operation of this baby incubator are the weight, heart beat, body temperature, humidity and cabin temperature. These all parameters then are transmitted real time through Internet of Thing (IoT) feature embedded on the system. Kalman Filter Method is applied to reduce error generated from the load cell reading. The control system successfully interpreted accurately the input combination of baby weight and cabin humidity before adjusting suitable cabin temperature to comfort the baby

Item Type: Thesis (Undergraduate)
Additional Information: Similarity: 18
Uncontrolled Keywords: Baby incubator, Fuzzy Logic, IoT, A6 mini GSM.
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: School of Industrial Technology > Electrical Engineering
SWORD Depositor: Admin Repository Universitas Internasional Batam
Depositing User: Admin Repository Universitas Internasional Batam
Date Deposited: 17 Oct 2019 10:40
Last Modified: 17 Oct 2019 10:40
URI: http://repository.uib.ac.id/id/eprint/1551

Actions (login required)

View Item View Item