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All Journal CESS (Journal of Computer Engineering, System and Science) Blend Sains Jurnal Teknik Hanif Journal of Information Systems
Basri, Mhd
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering

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Journal : Hanif Journal of Information Systems

 1 
Automatic Fan Design Based on Microcontroller with Combination of DHT11 Sensor and Motion Sensor Rahayu, Intan Dwi; Basri, Mhd
Hanif Journal of Information Systems Vol. 2 No. 1 (2024): August Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v2i1.27

Abstract

The development of a more sophisticated fan is a necessity. One way to improve fan performance is to add temperature and humidity sensors, so that the fan can rotate automatically according to the desired temperature and humidity. By using the Arduino Nano microcontroller, DHT11 sensor and Motion PIR sensor, the fan can be controlled automatically and can rotate at a speed set according to the temperature and humidity measured by the DHT11 sensor, and can detect whether there are people inside by using the Motion PIR sensor. That way, the fan can work more effectively and efficiently in maintaining coolness and air quality in the room. In addition, the use of microcontrollers, DHT11 sensors, and PIR motion sensors also makes it easier for users to manage fans and maintain temperature and humidity in the room more easily. Therefore, by utilizing the DHT11 sensor and PIR sensor and controlled by the Arduino Nano microcontroller. The test results obtained are the fan will turn on in a temperature condition of 30oc or there are people in the room and the fan will turn off if it does not meet these conditions. With a system like this it will extend the life of the fan and make it practical in turning on and off the fan.
Prototype of Temperature and Humidity Control System in Dry House or Coffee Drying Dom Using NodeMCU ESP8266 Zaky, Naufal; Basri, Mhd
Hanif Journal of Information Systems Vol. 2 No. 2 (2025): February Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v2i2.33

Abstract

Coffee is a very popular plant in the world as a raw material that has a distinctive taste and aroma. One of the most important post-harvest stages is the drying of coffee beans, because it can affect the quality of coffee beans so that the bargaining value of coffee prices can increase. Farmers in general still do drying traditionally by drying coffee beans in an open room. IoT currently provides the ability to connect various devices and sensors in a centralized network. as an advantage of IoT technology, it provides a solution for the owner of the temperature and humidity control system in the coffee warehouse to monitor the temperature and humidity in the coffee warehouse directly or remotely. This study aims to develop a prototype of a temperature and humidity control system in a dry house for coffee drying dom that can be viewed remotely via a smartphone and can be seen directly through the tools that have been designed. The DHT22 sensor is used to detect air temperature and humidity conditions. This temperature detection process will be active if the read temperature conditions exceed normal limits. The IoT platform as a process of sending data and reading data on this system uses the Blynk application. The result of this research is the design of a temperature and humidity control system in a coffee warehouse using a DHT22 sensor that works according to what has been programmed on the NodeMCU ESP8266 so that it can see the temperature and humidity of the air through the Blynk application on a smartphone and the system can work automatically so that when the temperature is above 34 ° C the system raises a warning sign on the device that has been designed and raises a notification on the Blynk application. Dry house is an important building in coffee processing to maintain the quality of coffee beans during the drying process. In this research, we design and implement an automatic system that uses microcontroller-based temperature and humidity sensors to control environmental conditions in the dry house. The development method includes analyzing system requirements, designing hardware and software, and testing the system to verify its performance and reliability. The results show that the developed prototype is able to maintain temperature and humidity within the optimal range during the coffee drying process, which is expected to improve efficiency and quality of the final product. The practical implication of this research is the development of technology that can be applied in the coffee processing industry to improve process control and reduce yield loss due to uncontrolled environmental changes.
Home Anti Theft System Uses Based Telegram Bot Internet of Things Fadhlurrohman, Dimas; Basri, Mhd
Hanif Journal of Information Systems Vol. 3 No. 1 (2025): August Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v3i1.36

Abstract

Often we hear cases of home theft and belongings valuable. This crime is difficult for the owner of valuables to know. Usually it will be known after the theft disaster. Circumstances like this certainly make us uncomfortable and feel restless about our valuables. Most people for their valuables security systems use CCTV (Closed Circuit TeleVision), which can record the movements of every person's activity. One of the disadvantages of using CCTV is that after we know there is a theft disaster, then we can only see from the image recordings that have occurred, and the perpetrators of the theft can be revealed. This of course still makes it difficult for us to solve these problems.
Co-Authors Fadhlurrohman, Dimas Hasibuan, Wilda Rina rahayu, Intan dwi RR. Ella Evrita Hestiandari Sihombing, Maissy Masitoh Zaky, Naufal