This research Producer Electric meter Appliance model base on smart card kWh (kilo Watt hour). The card power meter Is use to calculate the prepaid electricity meter using the 20-digit voucher number as a charging medium. Utilizing a smart card, the token number in the prepaid electricity meter can help reduce the error rate when entering the token number, the model destination is created. Hardware design and with apps to detect how much energy is used to store basic data to help view history of usage. Using smart cards and microcontrollers in apps that come from a usage history in the Pulse usage category will help users know their usage in efficient, normal, and wasteful categories. The results of this research is a meter model with credit card for charging pulses, and data processing applications as devices that can be used for various electricity consumption. The information system is used as a model validation with pulse input that provides information about the use of electrical energy and as a determinant to save the time and time required to make optimal energy
The purpose of this research is to produce an optimal water distribution system for irrigation of rainfed land. The problem with conventional irrigation systems is that the water distribution process cannot be controlled and monitored automatically and in real time. The impact on water distribution becomes ineffective. The implementation of Ant Colony Optimization (ACO) is used in research as a method to determine the location or node based on the pheromone pattern of the soil dryness level at the sprinkler nodes to be distributed by the water flow, taking into account the criteria level on the soil as a trend of probability values and determining the nodes according to the needs in the flow water. The results obtained from this study indicate that the data displayed is the level of dryness of each node, the volume of water in the reservoir, and the flow of water flowing. The ACO test shows the sequence of nodes that will be passed after the optimization process of water distribution in a rainfed irrigation system using the ACO method gets an error value calculated by the MAPE method of 43% so that it gets an accuracy value of 57%.
The purpose of this study is to make an electric pulses top-up model with a smart card as an alternative to fill in the digit number from the voucher into the prepaid electricity meter which is currently done manually. Using a smart card in a prepaid electricity meter can reduce the error rate when entering a token number. This application can also detect how much energy is used, store in the database, and can determine the category of pulses use in the kWh meter, as well as help users know the use of electricity that is classified as saving, normal, and wasteful. The system was designed with Vb.net and MySql programs. The results are an electric pulse top-up model based on a smart card for prepaid electricity meter, and an application that stores a history of the use of electrical energy used in determining the electricity usage category. ABSTRAKTujuan penelitian ini adalah membuat model pengisian pulsa listrik dengan smart card (kartu pintar) sebagai alternatif pengisian nomor digit ke dalam meteran listrik prabayar yang saat ini dilakukan secara manual. Pemanfaatan smart card sebagai pengganti nomor token dalam meteran listrik prabayar dapat membantu mengurangi tingkat kesalahan pada saat memasukkan nomor token. Aplikasi ini juga dapat mendeteksi berapa besar energi yang terpakai, menyimpan dalam database, dan dapat menentukan kategori pemakaian pulsa pada kWh listrik, serta membantu pengguna mengetahui pemakaian listrik yang tergolong dalam hemat, normal dan boros. Sistem dirancang dengan program Vb.net dan MySql. Hasil yang didapatkan berupa model pengisian pulsa pada meteran listrik prabayar berbasis kartu pintar dan aplikasi untuk menyimpan riwayat pemakaian energi listrik yang digunakan dalam penentuan kategori pemakaian listrik.
This research designed a monitoring system on dam by using fuzzy tahani method based on Microcontroller. This tool is designed to be used as monitoring on the Katulampa Dam. This tool consists of Raspberry module Pi 3 model B, ultrasonic sensors, resistors and android. The monitoring system on the dam is used to inform the user/citizen when the water in the dam has exceeded the specified height limit and notify the user of the appliance if there is a possibility of flooding, so that residents around the dam can be alert and avoid danger caused by flood . So that with the tool is expected to provide solutions to residents around the dam and residents whose homes are near the dam river flow in case of sudden danger or flood within 24 hours in real time and can minimize casualties due to flooding. By using application module on android that can give notification sms to appliance user and citizen, hence citizen around the dam will be more secure and protected from danger caused by flood and can minimize victim or other loss caused by flood.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.