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"PHP adalah bahasa pemrograman server-side scripting yang banyak digunakan untuk mengembangkan layanan website. Namun, aplikasi PHP berbasis web didistribusikan dalam bentuk source code sehingga sisi keamanannya rentan dan lemah karena baris source code mudah disalin, dimodifikasi, atau digunakan pada aplikasi lainnya. Penelitian bertujuan untuk mengimplementasikan rancangan teknis obfuskasi pada PHP extension code dengan menggunakan algoritma AES. Algoritma AES dipilih karena direkomendasikan NIST (National Institute of Standard and Technology) untuk melindungi sistem keamanan informasi nasional pemerintah Amerika Serikat. Melalui teknik obfuskasi menggunakan enkripsi diharapkan pemrogram memiliki opsi untuk melindungi source code PHP sehingga hak cipta atau kekayaan intelektual atas program dapat terproteksi.

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PHP is a server-side scripting programming language that is widely used to develop website services. However, web-based PHP applications are distributed in source code so that the security is vulnerable and weak because the lines of source code can be easily copied, modified, or used in other applications. The research aims to implement obfuscation technique design in PHP extension code using AES algorithm. The AES algorithm recommended by NIST (National Institute of Standards and Technology) to protect the US government's national information security system. Through obfuscation technique using encryption, it is expected that programmers have an option to protect the PHP source code so that the copyright or intellectual property of the program can be protected."

"Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning. This book covers intermediate and advanced levels of deep learning, including convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn. You will: Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn. Build face recognition and face detection capabilities Create speech-to-text and text-to-speech functionality Make chatbots using deep learning. "