Attendance is the fact that someone is present at an event or goes regularly to an institution, or attendance at an event is the number of people present at that time. The Saifiatul Amaliyah school itself is one of the many schools in Indonesia where the attendance of students or attendance is still done manually. This can cause problems, namely allowing fraud when filling in attendance and errors in data recapitulation. Therefore, in this study a computerized face attendance was created, which was formed using the K-Nearest Neighbor (K-NN) method and combined with the extraction of the Principal Component Analysis (PCA) feature where the attendance process can be done with a person's face. The face attendance system using the K-NN and PCA methods has an accuracy of 82%.
Education is a very important part of human life because through education quality human resources will be formed. Quality education can be read and measured by the achievement of various indicators. However, achieving these indicators is not easy, because learning success is influenced by several factors. One of the factors that can affect the success of learning is the learning system. To understand the level of student success in learning, a data mining processing technique is needed. The algorithm that will be used in this research is the naive Bayes algorithm. This study uses 601 datasets per year from Academic Year 2019/2020 to Academic Year 2021/2022, the data used are attendance score data, assignment scores, mid-exam scores, semester exam scores, and averages. The test is divided into 3, namely testing for the Academic Year 2019/2020 dataset, testing for the Academic Year 2020/2021 dataset, and testing for Academic Year 2021/2022 using the split validation operator. The test results using the Academic Year 2019/2020 – Academic Year 2020/2021 student score dataset have an accuracy value of 95.01% while the Academic Year 2021/2022 student score dataset has an accuracy value of 97.79%.
Keamanan telah menjadi aspek yang sangat penting untuk mengamankan data. Salah satu upaya pengamanan data adalah dengan kriptografi. Kriptografi adalah ilmu yang mempelajari bagaimana supaya pesan atau dokumen tetap aman, tidak dapat dibaca oleh pihak yang tidak berhak (anauthorized persons). Pada penelitian ini algoritma kriptografi yang digunakan adalah algoritma XXTEA (Corrected Block Tiny Encryption Algorithm) untuk melakukan pengamanan data pada proses pengiriman data aplikasi E-Surat. Sistem ini dibuat dengan menggunakan Node.js dengan bahasa pemrograman Javascript dan Express sebagai kerangka kerjanya. Uji performa pada penelitian ini dibagi menjadi dua kasus, yaitu uji performa aplikasi dan uji performa algoritma. Uji performa aplikasi menunjukan jumlah request per second yang dapat dihasilkan pada penggunaan 10 node CPU tidak stabil dan memiliki ruang nilai yang rendah. Nilai tertinggi request per second yang dapat dihasilkan adalah sebesar 26 request yaitu saat nilai concurent-nya 4 dan 256. Sedangkan nilai terendah request per second-nya adalah 20 yaitu saat nilai concurent-nya 512 Dari hasil uji performa algoritma XXTEA, dapat disimpulkan bahwa waktu enkripsi dan dekripsi pada algoritma XXTEA relatif cepat. Rata-rata waktu yang digunakan XXTEA untuk mengenkripsi pesan adalah 2.23987272 ms. Sedangkan, rata-rata waktu yang dihasilkan algoritma XXTEA untuk mendekripsi pesan adalah 2.05297956 ms.
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