At present there are still many government offices, especially the tourism and cultural offices of the Thousand Islands, which do not utilize technology for employee attendance, resulting in frequent manipulation of attendance data. Manual presence can cause the tourism office to have to manually record a large amount of attendance data, and make the process ineffective and inefficient. Therefore, this study aims to discuss the Employee Presence System Design with IoT (Internet of Things) Based RFID Using NodeMCU ESP8266. So this research can facilitate the Department of Tourism for the present system of attendance for employees to be more effective and efficient and does not take much time. This system is integrated with the website so that when the employee makes a presence, the data is automatically saved directly into the website database. Database processing on websites using MySQL with the PHP programming language. From several tests, many types of cards can be read by RFID Reader, because these
Deep Learning is still an interesting issue and is still widely studied. In this study Deep Learning was used for the diagnosis of corn plant disease using the Convolutional Neural Network (CNN) method, with a total dataset of 3.854 images of diseases in corn plants, which consisted of three types of corn diseases namely Common Rust, Gray Leaf Spot, and Northern Leaf Blight. With an accuracy of 99%, in detecting disease in corn plants.
In this Digital era, Microcontrollers are now growing rapidly and are increasingly in demand in control system applications. Including Arduino Microcontroller, by using this Arduino trying to overcome a problem that often occurs in the Data Center space, namely the problem of temperature and humidity instability that has a major impact on data on each rack in the data center space. This problem occurs if the temperature is too hot or too excessive humidity which results in overheating so that it can damage data stored in the data center. To solve the problem, Arduino detects temperature and humidity using a DHT11 module that can detect clearly and accurately, and can display on the LCD screen, or display the results of temperature and humidity detection on a webbased Thingspeak application and the Blynk application that can be accessed via a smartphone. Internet-based of Things (IoT). With DHT11 processed by Arduino can produce an ideal temperature of 18 ° C - 28 ° C and humidity of 40.00% - 60.00%, and provide Notifications that will be sent to the blynk application if there are problems with temperature and humidity instability.
At this time, information and communication technology is growing rapidly. One example of technological developments is Augmented Reality (AR). Augmented Reality in theory is to present virtual effects in the real world. This AR technology has been applied in several fields. One of them is in the field of education. In this study, an AR application was made as an educational medium for the history of the heritage buildings of the Ottoman Empire, especially for Madrasah students in the subject of Islamic Cultural History (SKI). This research will discuss the history of heritage buildings of the Ottoman Empire such as; Hagia Sophia Monument, Yeni Valide Mosque, and Blue Mosque. The Ottoman Empire was one of the world's Islamic empires that played a major role in the spread of Islamic teachings. This AR application uses the Marker Based Tracking method and the Fast Corner Detection algorithm. The tools used are Android Studio, Unity 3D, Sketchup, Figma, and Vuforia. The results of this study resulted in the application having succeeded in displaying a 3D Object from the Ottoman Sultanate heritage building, along with a description next to the 3D Object. In addition, this Monument AR application also works well on the Android operating system.Keywords:Augmented Reality, Marker Based Tracking, Fast Corner Detection, 3D Object, Android.
High rainfall in the rainy season can last about six months, this makes it rain continuously and cause an increase in the volume of water that has the potential for flooding. While the public does not get information or notice directly when it will happen. To anticipate these problems, the design of a water level monitoring system as an early flood detection based on IoT is considered efficient. The system will detect the distance of the sensor to the surface of the water, if the distance of the surface water approaches the sensor, the system will sound the siren as a sign of flooding. The system will display the alert status that occurs and the water surface distance in realtime.. From 100 data of water surface distance with ultrasonic sensors that have been tested, get 6 times the distance reading error. In testing of several water surface distances with sensors, the system can store all distance data into a database.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.