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ABSTRAK
Tugas akhir ini membahas tentang pengoptimisasian SQL nested query. Nested query ini dapat dikelompokkan kedalam lima type dasar nesting. Dimana dalam sistem R, empat dari lima type dasar itu belum efisien dalam pemrosesan querynya. Pokok pembahasan adalah mentransformasikan empat type dasar nested query kedalaman satu, serta nested query secara umum dan kompleks, ke dalam bentuk query ekivalen kanonikal yaitu query non nested.

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Skripsi ini bertujuan untuk mengembangkan model klasifikasi teks berbasis Convolutional Neural Network (CNN) dan BERT Language Model untuk mendeteksi SQL Injection pada Apache Web Server. Skripsi ini melibatkan pengumpulan dan pemrosesan dataset, literasi teori dasar, perancangan sistem, implementasi sistem, dan evaluasi kinerja model deep learning. Dengan menggunakan dataset publik dari Kaggle, model yang dikembangkan berhasil mendeteksi SQL Injection dengan akurasi yang tinggi. Hasil eksperimen menunjukkan bahwa model BERT memberikan performa yang lebih baik dibandingkan dengan CNN dalam hal accuracy, precision, recall, dan F1-score. Implementasi teknik deep learning pada sistem SQL Injection Detection juga mempermudah log file analysis pada Apache Web Server. Kesimpulan dari skripsi ini adalah berhasilnya pengembangan sistem SQL Injection Detection berbasis Convolutional Neural Network (CNN) dan BERT Language Model dengan akurasi masing-masing sebesar 95.99% dan 99.84%. ......This undergraduate thesis aims to develop a text classification model based on Convolutional Neural Network (CNN) and BERT Language Model to detect SQL Injection on the Apache Web Server. The research involves data collection and preprocessing, basic theory literature review, system design, system implementation, and evaluation of deep learning model performance. By using a public dataset from Kaggle, the developed model successfully detects SQL Injection with high accuracy. The experimental results show that the BERT model outperforms CNN in terms of accuracy, precision, recall, and F1-score. The implementation of deep learning techniques in the SQL Injection Detection system also simplifies log file analysis on the Apache Web Server. The conclusion of this undergraduate thesis is the successful development of an SQL Injection detection system based on Convolutional Neural Network (CNN) and BERT Language Model with accuracies of 95.99% and 99.84% respectively.

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Beginning SQL Server 2012 for Developers takes you through the entire database development process, from installing the software to creating a database to writing the code to connect to that database and move data in and out. By the end of the book, you’ll be able to design and create solid and reliable database solutions using SQL Server 2012.

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Reporting services provides a full set of tools with which to create and deploy reports. Create interactive reports for business users. Define reporting models from which business users can generate their own ad hoc reports. Pull data from relational databases, from XML, and from other sources. Present that data to users in tabular and graphical forms, and more.

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This book covers everything from design logic that business users will understand, all the way to the physical implementation of design in a SQL server database. Grounded in best practices and a solid understanding of the underlying theory, Louis Davidson shows how to “get it right” in SQL server database design and lay a solid groundwork for the future use of valuable business data. Gives a solid foundation in best practices and relational theory. Covers the latest implementation features in SQL server. Takes you from conceptual design to an effective, physical implementation.

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Pro SQL server 2012 Administration addresses all aspects of database administration, regardless of the size of the implementation. Install SQL Server 2012 and create new database environments. Develop a sound backup strategy for your database. Perform recovery as needed, which many consider to be job #1. Authors Ken Simmons and Sylvester Carstarphen also help you automate your work through the use of policy-based management. Performance optimization gets good coverage, so that you can render assistance when developers need help with problem queries.

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Pro SQL server 2012 integration services teaches how to take advantage of the powerful extract, transform, and load (ETL) platform included with Microsoft SQL Server 2012. You’ll learn to build scalable, robust, performance-driven enterprise ETL solutions that save time and make money for your company. You'll learn to avoid common ETL development pitfalls and how to extend the power of your ETL solutions to include virtually any possible transformation on data from any conceivable source. SQL Server Integration Services (SSIS) facilitates an unprecedented ability to load data from anywhere, perform any type of manipulation on it, and store it to any source. Whether you are populating databases, retrieving data from the web, or performing complex calculations on large data sets, SSIS gives you the tools to get the job done. And this book gives you the knowledge to take advantage of everything SSIS offers. Helps you design and develop robust, efficient, scalable ETL solutions. Walks you through using the built-in, stock components. Shows how to programmatically extend the power of SSIS to cover any possible scenario.