CHIPSET

Penghitung Pengunjung dan Deteksi Masker Menggunakan OpenCV dan YOLO

2022-10-31T20:55:56+00:00

The spread of COVID-19 that occurs through droplets can be avoided by reducing contact between individuals, so it is necessary to limit visitors, especially in crowded places such as shopping centers to avoid transmission between visitors. This study utilizes YOLOv3 object detection to recognize objects from camera image input, which is implemented on the Raspberry Pi 4, to identify visitors and use masks. The results of the identification of human objects will be calculated to determine the number of visitors at the shopping center. Then a buzzer sound warning is given when visitors are not wearing masks, if visitors exceed the capacity limit, they are also given a warning via an android application to the building manager. The results of the model detection show the mAP value of 77.92% for 3 classes of mask objects, without masks and humans.

Rancang Bangun Buku Elektronik Menggunakan Mikrokontroler Dan Voice Recognition Module V3 Untuk Pencegahan Nomophobia Pada Anak Usia Prasekolah

2022-10-31T20:55:57+00:00

Nomophobia (no mobile phone phobia) is a form of phobia or fear that occurs for a person if they does not hold a mobile phone for some time then he will be stressed. This nomophobia should be prevented early on starting from the golden age of learning children 0-8 years by holding fun and interactive learning activities, because at that age the growth of the child's brain is calculated very quickly that is as much as 80%. To support their growth most of the parents, choose smartphones and gadgets of the like to support basic learning such as reading. This is because the learning offered to their child is interactive. However, it is certainly a challenge for parents to control and supervise children in using smartphones for learning activities. To solve the above, design electronic books using Microcontrollers and Voice Recognition Module V3 to support children's learning in addition to using smartphones in order to prevent nomophobia

Rancang Bangun Timbangan Beras Digital Dengan Keluaran Tiga Jenis Beras Berbasis Mikrokontroler

2022-10-31T20:55:51+00:00

In today's all-digital era, all aspects of supporting human activities are required to make it easier for humans to support human mobility. One example is the scales that are demanded to be sophisticated to facilitate human work considering how busy the trading process is, especially in traditional markets, one example is rice scales which still use manual scales. So from the problems that occur in traditional markets about scales, the researchers will make digital rice scales.
The result of this research is the construction of a digital weighing device with a microcontroller-based weight and price output using a weight sensor or load cell. This tool is equipped with 3 types of rice, namely ordinary rice, white glutinous rice, and black glutinous rice. Then it is also equipped with a feature to change the price of rice in the event of a price change. From the results of tests conducted by researchers, this tool functions well and is able to overcome the problems that have been experienced by traders.

Pendeteksian Cedera Jatuh Pada Kursi Roda Berbasis Mikrokontroler

2022-10-31T20:55:51+00:00

In this study, the detection of falls in wheelchair users aims to make it easier for families to provide assistance when an injury occurs in a wheelchair so that the consequences can be minimized. In this study, the GY-521 sensor was used to detect the tilt of the wheelchair and a pulse sensor to detect the user's pulse. The output of the system in this study is a buzzer and sms notification. If the detected angle is > 25° (pitch angle) and > 30° (roll angle) then it is detected as a fall injury to the wheelchair. And if a small heart rate equals 60 and a large heart rate equals 100 it will be detected as an abnormal heartbeat. In this study, tests for fall detection were carried out on users who have different weights and for heart rate conditions, tests were also carried out when the wheelchair was used or not in use. So it can be concluded that the tilt angle of the wheelchair fall detection system is influenced by the weight of the wheelchair user.

Rancang Bangun Alat Pembuat Minuman Kawa Daun Otomatis Berbasis Mikrokontroler

2022-10-31T20:55:52+00:00

This research was conducted with the aim of making it easier for people to enjoy kawa daun drinks automatically, without using human intervention in the manufacturing process. Currently, the process of making kawa daun drinks still uses the manual method, namely by boiling dried and roasted coffee leaves, the dosing of each component and the use of hot water for this drink are still different depending on the maker. Therefore we need a system that can facilitate the community in making this kawa leaf drink, namely by measuring the components of the drink using a weight sensor. For the use of hot water in the manufacture of this drink, hot water with a temperature of 80-90 OC is used, which will be measured using the DS18b20 temperature sensor. This tool is designed using Arduino Mega 2560, Weight sensor, DS18b20 temperature sensor, servo motor, DC motor, HX711 module, relay, mini water pump, keypad, and LCD.

Sistem Akses Masuk Perpustakaan Menggunakan Sistem Pengenalan Wajah dan Pengukuran Suhu Tubuh Berbasis Single Board Computer (Studi Kasus Perpustakaan Unand)

2022-10-31T20:55:50+00:00

The library is one of the facilities used as a place to obtain information, improve literacy, and
develop knowledge and insight. The level of security that is still lacking causes the high threat
of crime caused and the spread of the virus which is still difficult to control, so this research
was carried out by forming a system that could facilitate entry with facial recognition and body
temperature measurement to improve the security system and be able to suppress the spread of
the virus.
The system will open a portal for entry access when the face image is recognized with a normal
body temperature without any physical contact, while when the face is not recognized the
system will provide a notification that the detected face image is not recognized.

RANCANG BANGUN SISTEM PEMBERSIH KOTORAN OTOMATIS PADA KANDANG KELINCI BERBASIS IOT (INTERNET OF THINGS)

2022-10-31T20:55:50+00:00

Rabbits have their charm for breeding because of the benefits they get from rabbits. However, rabbit farming has a fairly high challenge, namely rabbits die easily because of the cleanliness of the cage. The accumulation of rabbit droppings results in increased levels of ammonia gas which are harmful to rabbits, breeders, and even the environment. In cleaning the cage, rabbit breeders still use manual methods that are ineffective and inefficient. For this reason, a system
was created to create an automatic feces cleaning system in the rabbit cage based on IoT (Internet of Things) by utilizing loadcell sensors to detect the weight of rabbit droppings that are accommodated on the conveyor belt. Belt conveyor as a medium that transports rabbit droppings. The MQ-135 sensor is used to detect the concentration of ammonia gas and the MCUESP8266 Node as a controller and IoT as a notification and as a system control via a smartphone. Based on testing of the system, the loadcell sensor as a measure of the weight of rabbit droppings has an accuracy rate of 97.43%. The MQ-135 sensor as a measure of the
concentration of ammonia gas in rabbit cages has an accuracy rate of 99.19%. The conveyor belt can move to dispose of rabbit droppings when the weight is > 1000 grams or the ammonia gas content is > 25 ppm. Then the Telegram application bot can 100% control the system by inputting commands and can receive notifications from the system. From testing the system as a whole, the system can work according to the desired function with a 100% success rate.