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The PLN officer in charge of recording kWh meters is sometimes unable to photograph them because men discovered that the houses were unoccupied and their fences were locked. Due to these circumstances, the calculation of the current month’s electricity consumption is equated with the previous month, and customers can be harmed. The purpose of this...
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Purpose: Now, artificial intelligence (AI) is booming. Day by day, AI is introduced into the new field. We have lots of expectations for the advancement of AI. In our modern busy schedule, we all expect our everyday monotonous homework to be executed by AI. We are introducing more and more smart devices to do our work smartly. But at the end of the...
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... The application of IoT today has expanded to almost all areas of life, especially in terms of monitoring to obtain data in real-time remotely. The data that can be obtained also varies, as an example of its application to find out information on the use of electrical energy which can make it easier for PLN employees to monitor analog kWh meters [3]. Research [4] showed IoT-based monitoring devices were designed to obtain information related to voltage, electric current, and power measurements in real-time. ...
Increasing population and consumption patterns affect the volume, type, and characteristics of waste which vary and increase periodically. This increment must be accompanied by the management of waste transportation so that the accumulation of waste can be prevented. Therefore, it is necessary to design a prototype of a smart dustbin condition monitoring tool that is capable of providing full information and notifying the collector in the form of the location of the IoT-based dustbin. The research method is a prototyping type to obtain a smart dustbin prototype and produces IoT-based smart dustbin hardware and software. Ultrasonic sensors are used to detect objects and measure the height of waste, loadcell sensor measure the weight of waste, and GPS is used to obtain the location of dustbin. NodeMCU ESP8266 processes sensor data and sends it to the user. The results showed that testing of the object detection hardware was able to open and close the dustbin automatically when there was an object at a distance of ≤50 cm. Detectors of height and weight of waste can measure the height and weight of waste with an error of 0.4% and 0.15% respectively. The results of software testing show that the tool succeeds in sending WhatsApp notification data when the waste height reaches 3 cm from the sensor or 4000-gram waste weight, with a Throughput measurement of 327.95 kbps, and takes 2.61 seconds to send a notification message of 69 bytes.
Data center adalah suatu bangunan atau bagian dari bangunan yang fungsi utamanya untuk menempatkan ruang komputer dan ruang-ruang pendukungnya. Adapun tujuan dari penelitian ini agar bahan bakar solar pada genset yang ada pada data center tetap terjaga sehingga tidak terjadi pemadaman listrik yang nantinya akan mengakibatkan data yang ada di data center tidak bisa terakses. Metode yang digunakan yaitu perancangan perangkat keras (Hardware) dan perangkat lunak (software). Perancangan perangkat keras terdiri dari mikrokontroler ESP, sensor ultrasonic, GPRS, LCD, Buzzer dan Regulator Tegangan, perangkat lunak (software) menggunakan aplikasi Arduino IDE, Bahasa C, WhatsApp dan Twilio. Setelah melakukan perancangan dan pengaplikasian alat penelitian maka diperoleh Tingkat ketelitian pengukuran tinggi bahan bakar dengan nilai akurasi sebesar 99,9%, untuk peresentasi volume bahan bakar dalam tangki di tampilkan ke display LCD yaitu 25%, 50%, 75% dan tangki Kosong
