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Alat Bantu Training Elektronika Berbasis Internet Of Things dengan Logika Fuzzy Menggunakan NODEMCU Lukman Medriavin Silalahi; Agus Dendi Rochendi; Irfan Kampono; Muhamad Husni; Raden Sutiadi
KILAT Vol 10 No 2 (2021): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v10i2.1348

Abstract

Electronic training activities are still carried out conventionally, namely through a face-to-face system. The trainer has to check the trainees' measurement scores manually, this takes a long time. In addition, during the Covid-19 pandemic, human interaction is limited. Therefore it is necessary to make a tool that can help the training process. The proposed IoT-based electronic training tool uses nodeMCU, with a MySQL database system using IoT (Internet of Things) technology. Data communication media uses Wifi (IEEE 802.11n) with nodeMCU 8266 and INA219 sensors. The data is directly displayed through the internet browser media(PHP). From the results of our research, this tool can monitor the implementation of training for a distance of 8 meters and the sensor response time is less than 1 second. The sensor sensitivity level reaches 99.01% with a measurement accuracy of 0.01. With this tool, checking measurement results can be done quickly and can be done from anywhere.
Pemantau Gas Metana, Suhu, dan Kelembaban sebagai Penyebab Efek Rumah Kaca Dipadang Lamun Berbasis Internet Of Things Lukman Medriavin Silalahi; Irfan Kampono; Agus Dendi Rochendi; Muhamad Husni; Raden Sutiadi; Daniel Putra Pardamean Mbarep
KILAT Vol 10 No 2 (2021): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/kilat.v10i2.1349

Abstract

Seagrass is a plant that covers coastal areas/shallow seas that can produce methane gas (CH4) during the decomposition process. The occurrence of decay caused by microbes in seagrass plants that have died in the process produces methane gas (CH4) as the cause of the greenhouse effect. Methane gas monitoring system (CH4) is proposed using MQ-4 sensor, temperature and humidity sensor (DHT11) using NodeMCU ESP8266 module, SD Card module as backup data storage and processed with local database and through mysql database the data will be displayed on the website page for information. . From the tests carried out, the response time for DHT11 is 5.6 seconds and MQ-4 is 1.5 seconds. It has a reading sensitivity rate of 99.92% for DHT11, 99.997% for MQ-4. The accuracy rate for DHT11 is a multiple of 1. For the MQ-4 sensor it has an accuracy level of 2 digits behind the comma. The tool has a data transfer rate of up to that which appears on the front-end 0.2736. With this tool, checking measurement results can be done quickly and can be done from anywhere.
Co-Authors Agus Dendi Rochendi Daniel Putra Pardamean Mbarep Lukman Medriavin Silalahi Muhamad Husni Raden Sutiadi