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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%.

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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."

"What you'll learn from Expert performance indexing for SQL Server 2012 will help you understand what indexes are doing in the database and what can be done to mitigate and improve their effects on performance. The final destination is a guided tour through a number of real-world scenarios and approaches that can be taken to investigate, mitigate, and improve the performance of your database. Defines indexes and provides an understanding of their role. Uncovers and explains the statistics that are kept in indexes. Teaches strategies and approaches for indexing databases."

"Penggunaan analisis sentimen semakin umum digunakan. Dalam pengembangan analisis sentimen ini banyak tantangan yang perlu dihadapi. Karena analisis ini termasuk Natural Language Processing NLP, hal yang perlu dimengerti adalah kompleksitas bahasa. Dengan berkembangnya teknologi Artificial Neural Network, ANN semakin banyak permasalahan yang bisa diselesaikan. Ada banyak contoh struktur ANN dan untuk penelitian ini yang digunakan adalah Convolutional Neural Network CNN dan Recurrent Neural Network RNN. Kedua jenis ANN tersebut sudah menunjukkan performa yang baik untuk beberapa tugas NLP. Maka akan dilakukan analisis sentimen dengan menggunakan kedua jenis ANN tersebut dan dibandingkan kedua performa ANN tersebut. Untuk data yang akan digunakan diambil dari publikasi stanford dan untuk mengubah data tersebut bisa digunakan pada ANN digunakan word2vec. Hasil dari analisis menunjukkan bahwa RNN menunjukkan hasil yang lebih baik dari CNN. Walaupun akurasi tidak terlalu terlihat perbedaan yaitu pada RNN yang mencapai 88.35 0.07 dan CNN 87.11 0.50, tetapi waktu pelatihan RNN hanya membutuhkan waktu 8.256 detik sedangkan CNN membutuhkan waktu 544.366 detik.

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Term of sentiment analysis become popular lately. There are many challenges developing sentiment analysis that need to be addressed. Because this kind analysis is including Natural Language Processing, the thing need to understand is the complexity of the language. With the current development of Artificial Neural Network ANN, more problems can be solved.

There are many type of ANN and for this research Convolutional Neural Network CNN and Recurrent Neural Network will be used. Both already showing great result for several NLP tasks. Data taken from stanford publication and transform it with word2vec so could be used for ANN.

The result shows that RNN is better than CNN. Even the difference of accuracy is not significant with 88.35 0.07 for RNN and 87.11 0.50 for CNN, the training time for RNN only need 8.256 secods while CNN need 544.366 seconds."

"SQL server 2012 integration services design patterns does not focus on the problems to be solved; instead, the book delves into why particular problems should be solved in certain ways. You'll learn more about SSIS as a result, and you'll learn by practical example. Where appropriate, SQL server 2012 integration services design patterns provides examples of alternative patterns and discusses when and where they should be used. Highlights of the book include sections on ETL Instrumentation, SSIS frameworks, and dependency services. Takes you through solutions to several common data integration challenges. Demonstrates new features in SQL server 2012 integration services. Teaches SSIS using practical examples."

"Beginning T-SQL 2012 begins with an introduction to databases, normalization, and to SQL server management studio. Each subsequent chapter teaches an aspect of T-SQL, building on the skills learned in previous chapters. Exercises in each chapter give readers an opportunity for the hands-on practice that leads to true learning and distinguishes the competent professional. Imparts best practices for writing T-SQL. Helps you avoid common errors. Shows how to write scalable code for good performance."

"Injeksi SQL adalah salah satu dari 10 besar bentuk penyerangan terhadap kerentan website yang paling berbahaya. SQL Injection memiliki 3 tipe bentuk penyerangan, yaitu Union-Based, Error-Based, dan Blind SQL Injection. Pada skripsi ini akan menganalisis bagaimana tipe-tipe serangan tersebut dilakukan baik melalui proses penyisipan query maupun melalui aplikasi, yaitu SQLMAP. Hasil dari pengujian didapatkan bahwa melaui PHP, 4 dari 5 pengujian dapat diinjeksi karena penggunaan statement input yang standard. Sedangkan pada pengujian SQLMAP 6 dari 7 website dapat diinjeksi yang disebabkan karena penulisan statement input yang begitu standard, tidak adanya web application firewall (WAF) dan celah pada versi teknologi yang digunakan. Berdasarkan skripsi ini, injeksi SQL dapat dicegah dengan menerapkan bind parameter dan menggunakan WAF sebagai bentuk perlindungan."

"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."

"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. "