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Cracker drying process is considered inefficient because it still depends on weather factors and manual supervision, which can affect the quality of the production results. To overcome this, a smart shrimpcrackerdryingdevicebasedonan Arduino Uno microcontroller with an automatic closing mechanism and an automatic container has been designed and built. This system is equipped with a rain sensor and an LDR sensor to detect weather conditions around the device, as well as a DHT11 sensor to monitor humidity in the cracker storage container. In addition, an ultrasonic sensor is used to automatically regulate the movement of crackers into the storage container after the drying process is complete. A DC motor controlled by a BTS7960 driver functions to move the cover roof and the cracker transfer mechanism, while a limit switch is used to limit the motor movement.Based on the test results, this device can work automatically Shrimp crackers are one of the typical food products widely produced by the people of Bunga Karang Village, Tanjung Lago District, Banyuasin Regency. The traditional shrimp following changes in environmental conditions, thereby increasing the efficiency of the drying process and maintaining the quality of shrimp crackers produced by the residents of Bunga Karang Village.

Fire disasters can occur at any time in residential areas or schools, which are often triggered by electrical short circuits, the use of gas stoves, to minor negligence such as cigarette butts. As a preventive effort of Department of Education of Semarang, this research aims to create a prototype of a microcontroller-based early detection and fire suppression system with C programming. This tool uses NodeMCU as a control center that integrates fire sensors and DHT11 sensors to monitor room temperature in real-time. If the system detects any indication of fire or a significant temperature spike, a buzzer will activate as a warning alarm and the fan will work automatically to assist the initial extinguishing process.

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.

Maintaining stable cage temperature is a crucial factor in the success of broiler chicken farming, especially in close house systems that rely on optimal microclimate control. Temperature instability can lead to thermal stress, reduced growth rates, and increased mortality in broilers, particularly during the early stages of life (0 to 30 days old). This study aims to design and implement an automatic temperature control system based on the Arduino Uno microcontroller integrated with a DHT11 temperature and humidity sensor in the broiler chicken cages of PT. Barokah Restu Utama. The system is designed to read temperature and humidity in real-time and automatically activate or deactivate cooling devices such as fans or heating devices like incandescent lamps, depending on the temperature range required for each growth phase. The ideal temperature range used as a reference in this system includes 30–32°C for chickens aged 0–7 days, 29°C for ages 8–14 days, 28°C for ages 15–21 days, and 26–27°C for chickens aged 22–30 days. Testing results show that the system is capable of maintaining stable temperatures according to the specified standards for each growth phase. With this automatic control system in place, broiler chicken maintenance becomes more efficient and effective. The risk of mortality due to heat stress is significantly reduced, and chicken growth becomes more optimal. This technology offers a practical and economical solution, especially for small- to medium-scale broiler chicken farmers who use close house systems. The system is easy to operate and relatively affordable to install, making it an accessible innovation that supports better livestock management through automation and smart farming practices.

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.

Proses budidaya jamur tiram sangat tergantung dengan kestabilan pada kondisi lingkungan, terutama suhu ruangan dan kelembapan yang harus di perhatikan oleh para petani.  Hal ini menjadi permasalahan ketika proses pemantauan dan pengendalian lingkungan secara manual dilakukan, membutuhkan tenaga yang kuat dan waktu yang cukup besar. Penelitian ini bertujuan Mendesain rancangan sistem monitoring dan kendali suhu ruangan budidaya jamur tiram secara otomatis dan jarak jauh berbasis teknologi Internet of Things (IoT) untuk para petani. Dalam proses sistem ini penelitian ini memanfaatkan sensor suhu dan kelembapan DHT11 sebagai input, mikrokontroler Arduino Uno sebagai pemroses data, dan modul ESP8266 sebagai pengirim data nirkabel ke aplikasi Android berbasis Blynk.  Adapun metode dalam penelitia ini digunakan pengembangan yang digunakan adalah Software Development Life Cycle (SDLC) model waterfall, dan menganalisis kebutuhan, perancangan sistem, implementasi, pengujian, hingga pemeliharaan. Hasil pengujian menunjukkan bahwa sistem mampu membaca suhu dan mengaktifkan blower (kipas) secara otomatis ketika suhu melebihi ambang batas, serta menampilkan data suhu dan status kipas secara real-time melalui aplikasi Blynk. Dengan adanya sistem ini, pemantauan dan pengendalian lingkungan budidaya jamur dapat dilakukan lebih efisien dan fleksibel dan mendukung produktivitas budidaya secara optimal.

This study aims to design a smart home system leveraging the Internet of Things (IoT) concept by utilizing the Wemos D1 microcontroller combined with fuzzy logic to improve home energy management and safety. The hardware development process involves integrating a PIR sensor for motion detection, a DHT11 sensor for measuring temperature and humidity, and actuators including relays for lighting and a solenoid lock for doors. The system is operated remotely using the Blynk platform and supports notification alerts through Telegram. Testing results confirm that the prototype is capable of controlling devices, tracking environmental data in real time, and effectively sending alerts when movement is detected. Overall, the system presents a practical, responsive, and user-friendly smart home solution that enhances user convenience and household security.

Oka Jamur Bali is one of the oyster mushroom cultivation farmers. Lack of efficiency in regulating temperature and humidity in mushroom barns is an important factor in the growth of mushroom fruiting bodies. This condition requires an innovative solution to regulate and monitor temperature and humidity in the barn area. This research aims to build a prototype using Arduino UNO, ESP32, DHT11, pump and Internet of Things (IoT) technology.  The monitoring system design uses Arduino UNO, NodeMCU ESP32, DHT11 and DC pump with 12V voltage. Arduino UNO functions as a control system to manage and control the temperature and humidity parameters of the mushroom barn environment with the DHT11 sensor used to accurately measure temperature and humidity. The combination of NodeMCU ESP32 and Arduino UNO aims for monitoring through the ThingSpeak platform which can be accessed with a smartphone connected to the internet network. Based on the results of the prototype of the automatic temperature and humidity control system, the system is able to measure the environmental conditions of the mushroom barn with humidity measurement results in the range of 79% - 82% and the average temperature during the test reached 29.35°C. The application of the system was able to reduce the temperature by 2.28% with an average temperature of 28.19°C and increase the relative humidity by 6.27% with an average humidity of 81.1% in the mushroom barn area. The results of income between the income generated by using the automatic temperature and humidity control system tool and the income of farmers without using the tool increased by Rp. 16,416.

Kelembapan dan suhu merupakan faktor yang penting dalam budidaya jamur karena jamur membutuhkan kelembapan dan suhu tertentu untuk tumbuh dengan baik. Aspek lingkungan perlu diperhatikan dalam budidaya jamur adalah selama masa pemeliharaan dan suhu di dalam rumah jamur harus dijaga di kisaran 15-30°C. Suhu di bawah 15°C mengakibatkan tubuh buahnya mengecil dan tangkainya panjang, tetapi kurus. Jika suhunya di atas 30°C, suhu akan menyebabkan payung jadi tipis dan ukurannya kerdil. Kelembapan udara optimum yang dibutuhkan antara 80-90%. Jika kelembapan udara terlalu tinggi, jamur akan cepat membusuk dan jika kelembapan terlalu rendah, jamur akan menjadi kerdil dan kurus. Untuk memonitor tingkat kelembaban dan suhu dalam budidaya jamur tiram dibutuhkan sistem monitoring yang berguna untuk mengetahui kondisi tanaman secara otomatis dan real-time. Internet of Things (IoT) memiliki konsep yang bertujuan untuk memperluas manfaat yang tersambung dalam koneksi internet secara terus-menerus. Penggunaan Internet of Things (IoT) dalam memonitor suhu dan kelembapan dapat membantu efisiensi dan mempercepat pengiriman informasi kelembapan dan suhu udara tempat jamur dibudidaya. Jenis penelitian yang digunakan adalah R&D (Research and Development) dengan jenis model pengembangan prototyping. Hasil penelitian menunjukkan bahwa sistem otomasi dan pemantauan berbasis IoT bekerja dengan baik, dengan tingkat kesalahan pembacaan sensor suhu DHT11 dibandingkan thermometer digital berada di bawah 5% (dengan nilai error antara 0,37% hingga 3,10%). Selain itu, alat dapat mengirimkan notifikasi kepada pengguna ketika suhu atau kelembapan berada di luar rentang yang telah ditentukan, sehingga membantu menjaga kondisi optimal bagi pertumbuhan jamur.