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There has been a significant increase in the number of cyberattacks. This is not only happening in Indonesia, but also in many countries.  Thus, the issue of cyber attacks should receive attention and be interesting to study.  Regarding the explored security vulnerabilities, the Open Web Application Security Project has published the Top-10 website vulnerabilities. SQL Injection is still become one of the website vulnerabiliteis which is often exploited by attacker. This research has implemented and tested five algorithms. They are Naïve Bayes, Logistic Regression, Gradient Boosting, K-Nearest Neighbor, and Support Vector Machine. In addition, this study also uses natural language processing to increase the level of detection accuracy, as a part of text processing. Therefore, the main dataset was converted to corpus to make it easier to be analyzed. This process was carried out on feature enginering stage. This study used two datasets of SQL Injection. The first dataset was used to train the classifier, and the second dataset was used to test the performance of classifier. Based on the tests that have been carried out, the Support Vector Machine get the highest level of accuracy detection. The accuracy of detection is 0.9977 with 0,00100 micro seconds per query time of process. In performance testing, Support Vector Machine classifier can detect 99,37% of second dataset. Not only Support Vector Machine, the study have also revealed the detection accuracy level of further tested algorithms: K-Nearest Neighbor (0,9970), Logistic Refression (0,9960), Gradient Boosting (0,99477), and Naïve Bayes (0,9754).

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Implementasi Augmented Reality dalam memvisualisasikan ruangan dirumah sakit merupakan sebuah inovasi baru untuk mendukung kegiatan dirumah sakit dengan cara yang lebih efektif dan efisien. AR menawarkan visualisasi tiga dimensi suatu objek yang ditumpangkan pada lingkungan nyata yang disediakan oleh seperangkat teknologi untuk menciptakan realitas campuran secara real time antara elemen nyata dan virtual. Penggunaanya melalui media Android lebih mempermudah masyarakat umum dalam mengakses dan memperoleh informasi seputar ruangan di rumah sakit yang disajikan dalam bentuk virtual dengan mengikuti panduan penggunaan yang ada pada aplikasi. Penelitian ini menghasilkan aplikasi Augmented Reality (AR) berbasis android menggunakan metode Multimedia Development Life Cycle (MDLC). Berdasarkan pengujian yang telah dilakukan dapat disimpulkan bahwa aplikasi dapat beroperasi dengan baik pada perangkat smartphone berbasis Android dengan menampilkan informasi dan objek 3D tentang ruangan Rumah Sakit.