Pada bab pertama, Anda akan ditunjukkan sejumlah perangkat yang diperlukan untuk diunduh dan diinstalasi. Perangkat-perangkat ini diperlukan agar Anda bisa menjalankan skrip Python yang disediakan.
Pada bab kedua, Anda akan diajarkan untuk menciptakan sebuah tabel Tersangka pada database projek. Tabel ini memiliki sebelas kolom: id_tersangka (kunci primer), nama_tersangka, tanggal_lahir, tanggal_perkara, tanggal_laporan, status_kasus, tanggal_ditahan, nama_ibu, alamat, telepon, dan foto. Di sini, Anda juga akan diajak untuk berekspresimen merancang GUI Python untuk menampilkan, mengedit, mengisi, dan menghapus data tabel Tersangka.
Pada bab ketiga, Anda akan menciptakan tabel kedua dengan nama Ekstraksi_Fitur, yang memiliki delapan kolom: id_fitur (kunci primer), id_tersangka (kunci asing), canny, adapatif, kmeans, histogram, gradien, dan segmentasi. Keenam bidang (kecuali kunci) akan memiliki tipe data blob, agar citra fitur akan langsung disimpan ke dalam tabel ini. Di sini, Anda juga akan diajak untuk berekspresimen merancang GUI Python untuk menampilkan, mengedit, mengisi, dan menghapus data tabel Ekstraksi_Fitur.
Pada bab keempat, Anda akan menambahkan dua tabel: Polres dan Penyidik. Kedua tabel ini nanti akan diintegrasikan dengan tabel Tersangka melalui sebuah tabel lain, Berkas_Perkara, yang akan dibangun pada bab kelima. Tabel ketiga pada buku ini, dengan nama Polres, memiliki enam kolom: id_polres (kunci primer), lokasi, kab_kota, propinsi, telepon, dan foto. Tabel keempat pada buku ini dengan nama Penyidik memiliki delapan kolom: id_penyidik (kunci primer), nama_penyidik, pangkat, tanggal_lahir, jenis_kelamin, alamat, telepon, dan foto. Di sini, Anda juga akan diajak untuk berekspresimen merancang GUI Python untuk menampilkan, mengedit, mengisi, dan menghapus data pada kedua tabel tersebut.
Pada bab kelima, Anda akan menambahkan dua tabel: Korban dan Berkas_Perkara. Tabel Berkas_Perkara akan menghubungkan empat tabel lainnya: Tersangka, Polres, Penyidik, dan Korban. Tabel kelima pada buku ini, dengan nama Korban, memiliki sembilan kolom: id_korban (kunci primer), nama_korban, korban_kejahatan, tanggal_lahir, tanggal_kejahatan, jenis_kelamin, alamat, telepon, dan foto. Tabel keenam, dengan nama Berkas_Perkara, yang memiliki tujuh kolom: id_berkas (kunci primer), id_tersangka (kunci asing), id_polres (kunci asing), id_penyidik (kunci asing), id_korban (kunci asing), status, dan keterangan. Anda juga akan diajak untuk berekspresimen merancang GUI Python untuk menampilkan, mengedit, mengisi, dan menghapus data pada kedua tabel tersebut.
Akhir kata, diharapkan buku ini berguna dan bisa meningkatkan keahlian pemrograman database bagi programer Python seperti Anda.
Vivian Siahaan is a fast-learner who likes to do new things. She was born, raised in Hinalang Bagasan, Balige, on the banks of Lake Toba, and completed high school education from SMAN 1 Balige. She started herself learning Java, Android, JavaScript, CSS, C ++, Python, R, Visual Basic, Visual C #, MATLAB, Mathematica, PHP, JSP, MySQL, SQL Server, Oracle, Access, and other programming languages. She studied programming from scratch, starting with the most basic syntax and logic, by building several simple and applicable GUI applications. Animation and games are fields of programming that are interests that she always wants to develop. Besides studying mathematical logic and programming, the author also has the pleasure of reading novels. Vivian Siahaan has written dozens of ebooks that have been published on Sparta Publisher: Data Structure with Java; Java Programming: Cookbook; C ++ Programming: Cookbook; C Programming For High Schools / Vocational Schools and Students; Java Programming for SMA / SMK; Java Tutorial: GUI, Graphics and Animation; Visual Basic Programming: From A to Z; Java Programming for Animation and Games; C # Programming for SMA / SMK and Students; MATLAB For Students and Researchers; Graphics in JavaScript: Quick Learning Series; JavaScript Image Processing Methods: From A to Z; Java GUI Case Study: AWT & Swing; Basic CSS and JavaScript; PHP / MySQL Programming: Cookbook; Visual Basic: Cookbook; C ++ Programming for High Schools / Vocational Schools and Students; Concepts and Practices of C ++; PHP / MySQL For Students; C # Programming: From A to Z; Visual Basic for SMA / SMK and Students; C # .NET and SQL Server for High School / Vocational School and Students. At the ANDI Yogyakarta publisher, Vivian Siahaan also wrote a number of books including: Python Programming Theory and Practice; Python GUI Programming; Python GUI and Database; Build From Zero School Database Management System In Python / MySQL; Database Management System in Python / MySQL; Python / MySQL For Management Systems of Criminal Track Record Database; Java / MySQL For Management Systems of Criminal Track Records Database; Database and Critptography Using Java / MySQL; Build From Zero School Database Management System With Java / MySQL.
Rismon Hasiholan Sianipar was born in Pematang Siantar, in 1994. After graduating from SMAN 3 Pematang Siantar 3, the writer traveled to the city of Jogjakarta. In 1998 and 2001 the author completed his Bachelor of Engineering (S.T) and Master of Engineering (M.T) education in the Electrical Engineering of Gadjah Mada University, under the guidance of Prof. Dr. Adhi Soesanto and Prof. Dr. Thomas Sri Widodo, focusing on research on non-stationary signals by analyzing their energy using time-frequency maps. Because of its non-stationary nature, the distribution of signal energy becomes very dynamic on a time-frequency map. By mapping the distribution of energy in the time-frequency field using discrete wavelet transformations, one can design non-linear filters so that they can analyze the pattern of the data contained in it. In 2003, the author received a Monbukagakusho scholarship from the Japanese Government. In 2005 and 2008, he completed his Master of Engineering (M.Eng) and Doctor of Engineering (Dr.Eng) education at Yamaguchi University, under the guidance of Prof. Dr. Hidetoshi Miike. Both the master's thesis and his doctoral thesis, R.H. Sianipar combines SR-FHN (Stochastic Resonance Fitzhugh-Nagumo) filter strength with cryptosystem ECC (elliptic curve cryptography) 4096-bit both to suppress noise in digital images and digital video and maintain its authenticity. The results of this study have been documented in international scientific journals and officially patented in Japan. One of the patents was published in Japan with a registration number 2008-009549.
He is active in collaborating with several universities and research institutions in Japan, particularly in the fields of cryptography, cryptanalysis and audio / image / video digital forensics. R.H. Sianipar also has experience in conducting code-breaking methods (cryptanalysis) on a number of intelligence data that are the object of research studies in Japan. R.H. Sianipar has a number of Japanese patents, and has written a number of national / international scientific articles, and dozens of national books. R.H. Sianipar has also participated in a number of workshops related to cryptography, cryptanalysis, digital watermarking, and digital forensics. In a number of workshops, R.H. Sianipar helps Prof. Hidetoshi Miike to create applications related to digital image / video processing, steganography, cryptography, watermarking, non-linear screening, intelligent descriptor-based computer vision, and others, which are used as training materials. Field of interest in the study of R.H. Sianipar is multimedia security, signal processing / digital image / video, cryptography, digital communication, digital forensics, and data compression / coding. Until now, R.H. Sianipar continues to develop applications related to analysis of signal, image, and digital video, both for research purposes and for commercial purposes based on the Python programming language, MATLAB, C ++, C, VB.NET, C # .NET, R, and Java.