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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan ELKHA : Jurnal Teknik Elektro Journal of Information System Infotronik : Jurnal Teknologi Informasi dan Elektronika Infotekmesin Jurnal E-Komtek Jurnal Berdaya Mandiri Madani : Indonesian Journal of Civil Society
Hera Susanti
Politeknik Negeri Cilacap
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Journal : Jurnal E-Komtek

 1 
Temperature and Mask Detector using Thermal Camera and Open CV based on Color Features Hendi Purnata; Zaeurrahman; Hera Susanti; Asni Tafrikhatin
Jurnal E-Komtek Vol 6 No 1 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v6i1.922

Abstract

The current situation demands the prevention of the spread of the virus, one of which is by wearing a mask and checking the body temperature. This paper serves as a means of detecting the body temperature by using a thermal camera and the mask with a web camera. The camera is the sensor, and a buzzer is an actuator that go off automatically. A mask detection device is a tool that detects visitors who wear masks. It works by detecting the visitor's face using a camera and Open CV or digital image processing. Then, the data will be processed and compared to the one that has been input into the program. This program is able to detect masks and provide warnings if the visitors do not wear masks in a public space. When the body temperature detector detects a visitor of the normal category, which is 36˚C - 37.5˚C, the buzzer does not go off; when the body temperature is higher than 37.5˚C, the buzzer goes off automatically. An error occurred due to the dark conditions, and from the five trials with 100 cm distance, 60% of the trials were successful. Therefore, it was concluded that the testing of the mask detector succeeded with more than 60% success when the lighting was sufficient; and the distance ranged from 100 cm. This system experiment with five experiments on each sample obtained pretty good results. To get good results, the light determination is very influential.
Development of a Hydroponic System using an Atmega 2560 Microcontroller with Automatic Nutrition and pH Settings for Lettuce Cultivation Hera Susanti; Zaenurrohman; Riyadi Purwanto
Jurnal E-Komtek Vol 7 No 1 (2023)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v7i1.1170

Abstract

Hydroponic system is a technique of cultivating plants without using soil as a growing medium, but using water that is given nutrients and oxygen as a growing medium. Cultivation with hydroponic techniques must be able to pay attention and control nutrients, water content, and water ph. This research aims to create a lettuce cultivation system with intelligent hydroponic techniques using the ATmega2560 microcontroller. This system uses Arduino Mega as the control center, TDS sensor to monitor nutrition, PH sensor to monitor water acidity, and ultrasonic sensor to monitor water level. The optimal growth characteristic of lettuce is that the acidity level must be at pH 5.5-6.5 with the nutrients provided at 685-950 ppm. This system can help lettuce cultivation with hydroponic techniques by monitoring and controlling nutrients, pH, and water content in cultivated plants in real time to optimize lettuce growth.
Co-Authors Afrizal Abdi Musyafiq Aji, Galih Mustiko Annas Setiawan Prabowo Ari Kristiningsih Arif Sumardiono Asni Tafrikhatin Dian Muhammad Firdaus Erna Alimudin Erna Alimudin Fadhillah Hazrina Fadhillah Hazrina Hendi Purnata Lutfi Syafirullah Mardiyana Mardiyana Mardiyana Mardiyana Muhamad Yusuf Rafiq, Arif Ainur Riyadi Purwanto Saepul Rahmat Santi Purwaningrum Sugeng Dwi Riyanto Vicky Prasetia Vicky Prasetia Zaenurohman Zaenurohman Zaenurrohman Zaenurrohman Zaeurrahman