Publication Search

The IoT-based CO and COHb gas detector is a device used to detect the presence of carbon monoxide (CO) gas and the level of carboxyhemoglobin (COHb), supported by Internet of Things (IoT) technology for remote monitoring and real-time reporting. This device will be used in hospital rooms, serving as an important solution in efforts to ensure the safety of patients, medical staff, and hospital visitors. With the presence of the CO and COHb gas detector, hospital staff will find it easier to detect the presence of CO gas in the rooms within the hospital. The operation of this device is quite simple: just place the device in the room in the "on" condition, and it will automatically detect the CO and COHb gas present in that room. The measurement results of CO and COHb gas will be directly sent to Google Sheets for storage of the measurement results. The creation of this device requires several components, such as the ESP32 as the microcontroller, DHT11 as the temperature detection sensor, MQ7 as the CO gas detection sensor, and the application of IoT using a Google Sheets web app to monitor results remotely and store measurement results. According to the analysis of the device created by the researchers, the performance or functionality test results of the CO and COHb gas detector can be used smoothly. The author conducted functional tests or performance tests of the device by measuring data in a free room, roadside environment, motorcycle exhaust smoke, active smokers, and passive smokers.

The food security program involving chili cultivation in Pentur Village is hindered by inefficiencies in water use and suboptimal plant growth, primarily due to traditional irrigation methods that fail to consistently maintain ideal soil moisture and temperature. This issue is exacerbated by unpredictable environmental shifts, such as fluctuating weather patterns, and a lack of precise irrigation control stemming from technological limitations. To address this, a system for monitoring and regulating chili plant irrigation using IoT technology was developed. This system employs humidity and temperature sensors connected to an IoT platform like Blynk, enabling real-time observation of plant and environmental conditions. Data on soil moisture, air temperature, and humidity are stored in a database, and irrigation is automated based on soil moisture levels. The goal is to enhance water efficiency, minimize risks associated with over or under-watering due to environmental variations, and improve both yield and quality of the chili crop. This IoT-based system aims to simplify chili plant management for Pentur Village farmers and significantly boost agricultural output.

Gas Sulfur adalah salah satu polutan berbahaya bagi manusia. Akibat utama polutan (SO2) terhadap manusia adalah terjadinya iritasi pada sistem pernafasan. Terutama kesehatan bagi usia lanjut dan penderita yang mengalami penyakit kronis pada sistem pernafasan dan kardiovaskular yang sangat sensitif jika kontak dengan (SO2). Sehingga pada penelitian ini perlu adanya sebuah rancang sistem monitoring kadar gas sulfur dioksida (SO2), suhu dan kelembaban pada ruangan. Sistem monitoring ini menggunakan sensor MQ-136 sebagai pendeteksi kadar gas sulfur dioksida (SO2) dengan satuan ppm dan sensor DHT11 sebagai pendeteksi suhu dan kelembapan pada ruangan. Hasil pembacaan kedua sensor tersebut akan diproses melalui Modul Wifi ESP32 dengan mempunyai output Aplikasi BLYNK dan Google Spreadsheet. Sementara output Exhaust Fan menyala sesuai dengan ketentuan Fuzzy Logic Mamdani.

Honey is a natural liquid that contains a lot of sugar produced by bees (genus Apis) from flower nectar and has a sweet taste. Honey contains a multitude of benefits that are good for the body, including being a source of nutrients, improving body metabolism, anti-bacterial, and others. The purpose of designing the Honey Harvest Monitoring System with ARDUINO-based IOT is to help breeders maximize honey harvesting results. This study aims to design an intelligent system for controlling the temperature in bee hives, humidity in bee hives, and monitoring honey yields, measuring the temperature and humidity of the storage room using DHT 11 sensors, and monitoring honey harvest time using Load Cell sensors. The temperature and humidity controller in the cage uses a blower/fan. Sensor data will be processed using the Wemos D1 R1 microcontroller and then sent to an Android application via the internet network using a real-time Firebase database so that it can be accessed anywhere and anytime. The way this system works is that if the room temperature is >38 degrees Celsius, the blower/fan will turn on, and will turn off if the temperature is 40%, the artificial window will open and will close if the humidity is