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Journal : Jurnal Pijar MIPA

Design and Construction of Mice Detection and Removal Equipment in the House Based on the Internet of Things (IoT) Lubis, Zakia; Nasution, Mulkan Iskandar; Nasution, Nazaruddin
Jurnal Pijar Mipa Vol. 19 No. 3 (2024): May 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i3.6771

Abstract

Rats are rodents that have a negative impact on society, both in agriculture and industry. Rodents roaming around in the house can damage electrical connections, which can trigger fires and cause fires, as well as causing economic losses. This research used a PIR sensor to detect movement and an ESP32 cam to stream live video on the blynk application. Box two contains a series of ultrasonic sound generators emitted through speakers. Additionally, tool tests were carried out using a 12 V battery test, PIR sensor test, relay test, ESP32 Cam, ultrasonic generator PWM test, Blynk test, and tool test on mice. This research aims to design a device for detecting and repelling mice in homes based on the Internet of Things (IoT). The design of this tool uses an ESP32   microcontroller as the main controller. This tool also has components such as an ESP32   cam, relay, ultrasonic speaker, 3.7-volt battery, PIR sensor, servo motor, and ultrasonic sound generator module. This tool has a working system in the form of a PIR sensor that detects mouse movement. Then the ultrasonic sound automatically comes on, the servo motor moves and the ESP32   cam connected to the Blynk application will stream live video. This tool also has an on and off button system via the blynk application. The test results carried out by the PIR sensor were able to detect the presence of objects at a distance of 5 m. The frequency issued by the ultrasonic module and measurements made via an oscilloscope has an average percent error of 1,02%. This proves that the performance of the designed prototype tool works well. The results of tests to repel mice using ultrasonic sound, which could disturb the mice, were at 40-50 kHz. The overall test results for the home IoT-based mouse detection and repellent system worked well.
Design and Construction of an Automatic Chili Plants Watering System Based on the Internet of Things (IoT) Using the Blynk App Aisyah, Siti; Nasution, Mulkan Iskandar; Nasution, Nazaruddin
Jurnal Pijar Mipa Vol. 19 No. 3 (2024): May 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i3.6772

Abstract

Chili is one of the vegetables cultivated by Indonesian farmers because of its high market value and many health benefits. Manual watering of plants still has weaknesses because water use is unlimited, especially for chili plants. Therefore, IoT is needed to water plants automatically and in real-time based on soil moisture and can monitor chilli plants' air temperature and pH. This research aims to replace manual watering with automatic watering. The system was tested and installed in a greenhouse using UV plastic measuring 70cm × 70cm × 70cm. The microcontroller used is ESP32. Other components are RTC DS3231, capacitive soil moisture sensor, DHT22 sensor, soil pH sensor, water pump, and blynk application. This device operates when reading input from the RTC, namely 07:00 WIB and 17:00 WIB. The watering pump will work at humidity <60% and stop at humidity >80%. At temperatures <24˚C, the lamp will be active and at temperatures >33˚C to <55˚C, condensation will be carried out using a nozzle sprayer. The soil pH sensor detects soil conditions, namely acidic, neutral or alkaline. The results of this research are quite good and follow the designed program. The average % error on the DHT22 sensor is 1.433%, and the soil pH sensor is 0.74%. Capacitive soil moisture sensors are also quite good at reading soil moisture conditions. Likewise, the RTC test has a time difference of only 6 seconds with the comparison tool.