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All Journal Jurnal TEMAPELA Integrated Lab Journal
Mochammad Darwis
Politeknik Elektronika Negeri Surabaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Education Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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The design of thermal imaging camera for observing thermal map during electrical installation practical Mochammad Darwis
Jurnal Teknologi dan Manajemen Pengelolaan Laboratorium Vol 3 No 2 (2020): Jurnal Teknologi Dan Manajemen Pengelolaan Laboratorium (Temapela)
Publisher : Labor Dasar dan Sentral Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/temapela.3.2.51-59.2020

Abstract

Many cases of fire due to electrical short circuit facilities or inadequate electrical maintenance, require technology in the field of preventive maintenance. Educational materials and knowledge regarding the prevention and handling of damage and the dangers resulting from abnormal heat, must be taught in the practice class, in particular the electrical installation practice. The use of photo infrared thermography to analyze the distribution of excess heat (overheating) at the cable connection points and the constituent electrical components is a new necessity. The still expensive thermal camera led to an inexpensive prototype but still had the same result. The infrared camera prototype was made from the M5Stack microcontroller module and the AMG8833 infrared thermal sensor. The camera was used to check the heat patterns that occured in electrical and mechanical equipment during the operation. The temperature data recorded from the AMG8833 sensor were in the form of an array of data measuring 8x8 pixels which then were proceeded using an interpolation technique to get an even bigger size, 64x64 pixels. The temperature data were presented in a form of certain colors which represented the measured temperature. The prototype results were compared with the standard HT-02 thermal camera resulting in 0.001% of error.
Rancang Bangun Pencatat Suhu Tanpa Kartu Memori Menggunakan Platform Micropython di Laboratorium Ilmu Pengetahuan Alam Mochammad Darwis
Integrated Lab Journal Vol. 10 No. 01 (2022)
Publisher : UIN Sunan Kalijaga Yogyakarta

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Abstract

This research is a continuation of the use of the micropython platform on the 32-bit ESP32 microcontroller. A temperature recorder that is compact, small in size and can store data for a certain period of time is needed in the science laboratory of SMP Negeri 1 Surabaya. Micropython can simplify hardware by eliminating memory hardware such as memory ICs or SD cards. The temperature data is stored in a file structure created in the micropython platform. The data is stored in the form of a text file so that it can be downloaded to a computer for graphing and analysis. The temperature sensor used is the DS18b20 type with a one-wire system. The one-wire system allows several sensors to be installed in parallel using only one data cable connected to the microcontroller. Temperature data collection was carried out for 26 minutes for every 3 seconds. The internal memory capacity that is used to store temperature data is 4 kilo bytes and the total memory space is 2 Mega bytes. The recorded data can be used for graphing and analysis.
Uji Pembacaan Kode QR Menggunakan Modul Praktikum Pemrosesan Citra dengan Platform OpenMV Mochammad Darwis
Integrated Lab Journal Vol. 10 No. 02 (2022): Integrated Lab Journal
Publisher : UIN Sunan Kalijaga Yogyakarta

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Abstract

Penggunaan kode QR semakin meluas di berbagai segi kehidupan. Modul praktikum pemrosesan citra yang menggunakan kamera sebagai sensor masukkannya, diharapkan dapat membaca informasi yang ada di dalam kode tersebut. Informasi yang didapatkan dapat digunakan untuk keperluan yang diinginkan. Pada sebuah robot yang dilengkapi dengan modul pemrosesan citra dengan kemampuan membaca sebuah kode QR pada sebuah ruangan akan dapat memberikan informasi aksi robot selanjutnya dalam menemukan posisi ruangan yang diinginkan. Penelitian ini menggunakan modul pemrosesan citra berbasis mikrokontroller STM32H750 dengan platform OpenMV yang menggunakan bahasa Micropython. Kemampuan algoritma pembacaan kode QR akan dibandingkan dengan aplikasi ponsel yang khusus digunakan untuk membaca kode QR. Hasil yang didapatkan adalah algoritma pembacaan kode QR yang dibuat 47,05 persen dapat mengenali kombinasi kode QR yang sudah dibuat. Rata-rata kecepatan pengenalannya sebesar 23,33 fps.
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