Today's technology has developed rapidly with the Internet of Things (IoT) which is a concept that aims to expand the benefits of continuously connected internet connectivity. Internet of Things (IoT) is a development of network communication of interrelated objects connected through internet communication and can exchange data, turning it into information. Many tools are created to ease human work and even replace human work. Controlling room lights in a house using NodeMCU is one of the Smart Home technologies based on the Internet of Things (IoT). This research can provide information about the differences, advantages and disadvantages of Web, Thingspeak and Blynk applications for Smart Home devices to turn on and off house lights via the internet using laptops and smartphones. NodeMCU is a microcontroller that can be analogous to the Arduino ESP8266 board. NodeMCU includes ESP8266 and is packaged in a compact board with various features such as a microcontroller, WiFi access capabilities, and a USB data cable extension chip, which is used as a data cable and charging cable for Android smartphones. From the analysis results using the three platforms, it is known that Blynk is superior to the other two platforms because the way to create and operate is easier and more efficient

When motorcyclists have an accident, they are at high risk of suffering severe or fatal injuries. The difficulty experienced by motorcyclists and considered one of the most complicated to do in an emergency is braking because motorcycle accidents are often caused by loss of control or stability when braking as evasive action. In the braking process, a motorcycle must pay attention to distance and speed so that the deceleration during braking is by the kinematic concept to avoid the shock force during braking, in this study uses research and development methods in making automatic braking systems on motorbikes. The actuator system controls the brake pedal, and the gas pedal uses a stepper motor. The two stepper motors will move automatically if the motorbike detects an object in front of it at less than 4 meters. The angle of the stepper motor that drives the brake lever is in a span between 0 degrees to 30 degrees, while the tip of motion of the stepper motor that moves the gas pedal is in a span of 0 degrees to 70 degrees. The angle movement of the stepper motor is influenced by the distance detected by the HC-SR04 type proximity sensor and the motorbike speed detected by the KY-003 type speed sensor, which works by utilizing the hall effect principle. The results of the tests that have been carried out show that the automatic braking system created can work well with an indicator that there is no shock force during the automatic braking process

Berbagai metode klasifikasi data mining diperiksa dalam penelitian ini untuk aplikasi database baru. Untuk menemukan suatu model, klasifikasi membagi data ke dalam kelompok-kelompok berdasarkan batasan yang telah ditentukan. Metode klasifikasi penting lainnya adalah algoritma Genetika C4.5, Naive Bayes, dan SVM. Akhirnya, kami membahas penjelasan algoritma

Faults in three-phase electric motors often occur in power plants. Unfortunately, the disturbances are unpredictable and reduce unit performance. This paper presents an Internet of Things (IoT) based intrusion handling system for secure and economic data communication in industrial fields. The build system can monitor and control with FLM (First Line Maintenance). FLM is a minor corrective maintenance activity carried out while the unit is operating with the provision of simple equipment. Device design and testing using the ESP8266 microcontroller module to obtain motor vibration, current, and temperature information for motor conditions supported by the application as a user interface. The result prevents further damage to the electric motor by adding an external fan and a grease pump that serves for additional engine cooling. This research contributes to improving the performance of the generator at PT. Indonesia Power UJP West Java II Palabuhanratu is one of the steam power plants in West Java, Indonesia

Segmentasi gambar sangat penting dalam pendekatan analisis gambar untuk mempelajari gambar apa pun. Teknik pengelompokan K-means adalah algoritma yang banyak digunakan dalam sistem segmentasi citra. Karya ini memanfaatkan ruang warna L*a*b* dan pengelompokan K-means untuk menawarkan segmentasi gambar berbasis warna. Penelitian ini menunjukkan segmentasi gambar database berdasarkan karakteristik warna menggunakan teknik K-means clustering unsupervised yang diimplementasikan dengan coding MATLAB. Seluruh pekerjaan dipisahkan menjadi dua fase. Pertama, augmentasi pemisahan warna dari gambar warna database ditingkatkan melalui peregangan de-korelasi. Kemudian keenam area citra database tersebut dikelompokan menjadi tiga kelompok dengan menggunakan teknik K-means clustering. Dengan menggunakan ruang warna L*a*b* dan metode pengelompokan k-means dalam gambar basis data warna, kita hanya dapat menunjukkan wilayah tengah dari gambar apa pun. Kami dapat mengisolasi daerah yang terkontaminasi dalam gambar berwarna database medis dengan pendekatan ini dan mengobati penyakitnya dengan cepat. Kami dapat menggunakan berbagai pendekatan seperti Particle swarm Optimization (PSO) untuk hasil yang lebih baik.