Perangkat kamera di jalan dapat digunakan untuk mendeteksi masalah seperti pelanggaran batas kecepatan yang dapat berakibat fatal, menimbulkan kecelakaan yang dapat menyebabkan luka serius hingga kematian. Penelitian ini berfokus pada sistem yang dapat melakukan penghitungan kecepatan kendaraan menggunakan metode Frame Difference dari data video yang terlebih dahulu telah diekstraksi menjadi rangkaian citra dan dilakukan proses segmentasi objek menggunakan MobileNetV2. Frame Difference digunakan untuk menghitung nilai perpindahan objek mobil pada setiap rangkaian citra. Nilai perpindahan lalu digunakan untuk menentukan kecepatan perpindahan mobil pada rangkaian citra. Dari hasil yang didapatkan, sistem memiliki akurasi 98% pada citra segmentasi piksel mobil, akurasi sebesar 74,81% untuk penentuan titik acuan, dan pada perhitungan kecepatan mobil didapatkan akurasi sebesar 83,84% untuk titik acuan kanan dan 79,81% untuk titik acuan kiri.
E-Voting is an election that uses information technology facilities as well as electronic devices where part or all of the process is done digitally. The electoral process by means of E-voting can help the counting process faster and costs less than the conventional electoral process. However, this electronic-based election is prone to manipulation, therefore it requires protection of the system. In this study, AES and CSRF algorithms were implemented to increase security in the E-Voting application. The election is limited to the election of the executive mayor / regent. This study uses Acunetix software to test the level of security. In testing, four versions of the website were made, namely: the website without AES and CSRF, the website only with AES, the website only CSRF and the website using AES and CSRF. The test results on the website with AES and CSRF show a satisfactory increase in security, only one medium level application vulnerability warning and two low level application vulnerability warnings. Test results with Acunetix on websites without AES and CSRF received seven medium warnings and eleven low warnings. The CSRF test results only get two low warnings but the number of data scans is only a few. The AES test results only get four medium warnings and one warning. Thus, the application of the AES algorithm can increase the level of security of the E-Voting system
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