Student attendance in the classroom is one indicator for lecturers in learning activities. At Musamus University, student attendance has been managed digitally. The system is known as SIMAKAD. The weakness of SIMAKAD in doing attendance is in the process of entering data. Student attendance data can be inputted by the lecturer after completing the manual signature process by students. This can cause errors in entering data into the system. Whereas in the industrial revolution of the 4.0 era, the transformation of digital data in education was needed. For example, with the presence of Radio Frequency Identification (RFID) technology. The student attendance prototype using RFID was designed as a solution to solve problems in entering student attendance data at SIMAKAD. RFID technology can identify each student while attending college through reading the student TAG ID. By adding Internet of Things (IoT) capabilities, the results of reading student IDs will be sent directly through the internet and stored in a database server. The database can be directly used by lecturers as monitoring attendance of lectures. So no need to use manual absence.
Flood disasters are usually caused by the rising of sea water and high rainfall resulting in high water discharge. One way to reduce the impact of losses caused by standing water is to measure the height of the water discharge. An ultrasonic sensor that is based on a microcontroller can be used to measure the height of the water discharge. This water level monitoring system is carried out by implementing a microcontroller-based ultrasonic sensor. The use of this system is expected by the writer to be a water level detection simulation where the system works by giving an alarm when the height of the water discharge crosses the limit set on the system. When the height of the water discharge exceeds the limit, the system will provide information in the form of an alarm sound and the system display that is initially green turns red.
In this study an android-based application was produced that can provide dietary information and knowledge to patients with diabetes mellitus, heart, maag, kidney, and impaired heart function deisease, that for healthy living does not have to be expensive. The habit of consuming liquor, consuming fast food, and rarely doing physical activities is the cause. Diet is the first initial method recommended by doctors to patients. Eating patterns with the right menu, exercise and adequate and regular rest can help the patient’s recovery. Based on 50 questionnaires distributed and returned by patients, 42 of the total 50 patients who went on a diet within 1 month routinely felt a very good recovery in their bodies.
Sebuah citra adalah kumpulan piksel-piksel yang disusun dalam larik dua-dimensi. Sebuah piksel pada citra digital adalah sampel dari pemandangan yang mengandung intensitas citra yang dinyatakan dalam bilangan bulat. Pendeteksian wajah adalah salah satu bidang kecerdasan buatan yang berguna pada pengolahan data. Tujuan dari penelitian ini adalah untuk mengimplementasikan jaringan saraf tiruan pada pendeteksian wajah dalam citra digital dengan menggunakan metode backpropagation. Deteksi wajah dalam citra digital akan dilatih dan diuji menggunakan tahap-tahap pada backpropagation. Vektor input pelatihan dan pendeteksian wajah diperoleh dari hasil pengolahan citra. Metodologi yang digunakan dalam pengembangan perangkat lunak ini adalah Rational Unified Process (RUP) dengan kakas yang digunakan adalah Unified Modelling Language (UML). Aplikasi dibangun dengan menggunakan bahasa pemrograman Matlab 7.0. Berdasarkan hasil pengujian menunjukkan bahwa semua citra wajah yang dilatih berhasil dikenali. Citra wajah yang telah dimodifikasi akan memiliki nilai akurasi pendeteksian yang berbeda dengan citra wajah sebelum dimodifikasi. Hal ini disebabkan karena perbedaan vektor input dari citra-citra tersebut. Kata kunci: Wajah Citra Digital, Jaringan Saraf Tiruan, Backpropagation.
The potential for waste generation at Merauke district with population at 223,389 people reaches 111.69 tons per day. Moreover at the city of Merauke it self with population at 98,986 people, the potential for waste generation is 49.99 tons per day. However, the number of customers recorded up to 2019 is 6,428 customers, with the potential for waste generated to be only 2.88 tonnes per day. This figure is of course still very less than the total potential for existing waste generation, therefore we need a system that can help and make it easier for people to find, find out the information on the nearest dump and the distance to be traveled. The Geographical Information System for temporary landfill mapping uses the Android- based Haversine Formula method, the design uses Eclipse with the Java programming language, and the database uses MySQL. The results that obtained from this application were the system can map the closest dump, provide information on the condition of the dump and can display the distance between the start point and the dump so it can help the public to finding the information.
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