This study aims to apply the Internet of Things to monitoring electricity energy consumption. The system is designed to replace the manual and conventional measurement of electrical energy. Uncontrolled use of electricity is one of the causes of high levels of electrical energy consumption. Therefore, consumers need to know the amount of electrical energy consumption in real-time. The device is designed using the PZEM-004T which is used as a sensor to read electrical multi-parameter, Arduino as the main control, and ESP8266 as a data sender on the Cloud system. The test results showed that the device has been able to read and display electricity quantity data in the form of voltage, current, power, and electricity tariff accumulation in real-time displayed on the ThingSpeak platform. The test on the PZEM-004T sensor has an accuracy rate of 94.96% for reading current values and 99.42% for reading voltage values. Penelitian ini bertujuan untuk menerapkan teknologi Internet of Things pada monitoring konsumsi energi listrik. Sistem dirancang untuk menggantikan pengukuran energi listrik yang masih manual dan konvensional. Penggunaan listrik yang tidak terkontrol merupakan salah satu penyebab tingginya tingkat pemakaian energi listrik. Oleh karena itu, konsumen perlu mengetahui jumlah pemakaian energi listrik secara realtime. Alat dirancang menggunakan PZEM-004T yang digunakan sebagai sensor untuk membaca multi-parameter listrik, Arduino sebagai kendali utama, dan ESP8266 sebagai pengirim data pada sistem Cloud. Hasil pengujian menunjukan bahwa alat telah mampu membaca dan menampilkan data besaran listrik berupa tegangan, arus, daya, dan akumulasi tarif listrik secara realtime yang ditampilkan pada platform ThingSpeak. Pengujian pada sensor PZEM-004T memiliki tingkat akurasi 94.96% untuk pembacaan nilai arus dan 99. 42% untuk pembacaan nilai tegangan.
In the era of industrial revolution 4.0, all human activities are replaced by machines. Humans are required to optimize brain function than muscle function. All human work is facilitated by robots or tools work automatically. For example, shopping activities in the modern market. Consumers prefer to shop in the modern market than the traditional market, because the items are complete, neatly arranged, and they have facilities like trolleys as transporters. Trolleys can be pushed and pulled easily. But when shopping, parents have a problem with pushing or pulling a trolley when they carrying their children. Therefore, we created a design for automatic follower shopping trolley based on image processing which can follow the consumers when shopping. This trolley has a webcam camera as a sensor to take pictures of the objects or special accessories that used by consumers. The result of data are processed in such a way and then it will be obtained the x and y coordinates positions of the consumer and the next data will be sent to the Raspberry Pi 3 which will automatically determine the movement of the trolley. The test results showed that the distance range detected between trolleys and consumers ranged from 0.5 meters to 2 meters, and trolleys can move according to the point where the object was detected. Thus, the trolley can follow the user well.
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