RANCANG BANGUN APLIKASI PERBAIKAN CITRA DIGITAL MENGGUNAKAN PROSES KONVOLUSI

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Tito Sugiharto

Abstrak�Penelitian ini dibuat bertujuan untuk menghasilkan suatu aplikasi perangkat lunak untuk meningkatkan kualitas citra digital dengan menggunakan proses konvolusi. Target penelitian yang ingin dicapai adalah adanya aplikasi perbaikan kualitas citra digital untuk file citra digital bertipe jpg dan bmp. Foto atau citra digital yang dihasilkan dari berbagai alat pencitraan memiliki kualitas citra yang berbeda-beda. Kualitas dari sebuah citra dapat ditentukan dari pencahayaan, teknik pengambilan gambar, resolusi alat pencitraan, dan pemilihan alat pencitraan. Setiap orang menginginkan hasil fotografi dengan kualitas citra yang baik. Tetapi pada kenyataannya hasil dari pengambilan sebuah foto atau citra terkadang tidak bagus.Penelitian ini akan membahas bagaimana merancang dan mengembangkan aplikasi perbaikan kualitas citra digital dengan menggunakan proses konvolusi. Model pengembangan sistem yang digunakan dalam penelitian ini adalah RUP (Rational Unified Proces). Aplikasi ini dibuat menggunakan bahasa pemrograman Borland Delphi 7.0. Proses pengujian dilakukan dengan menggunakan pengujian Black Box Testing dan White Box Testing.�Kata Kunci : Citra Digital, Kualitas Citra, Konvolusi, Delphi, RUP��Abstract�This research is aimed to produce a software application to improve the quality of digital image by using convolution process. The objective of this research is the application of digital image quality improvement for digital image file of type jpg and bmp. Photos or digital images generated from various imaging tools that have different image quality. The quality of an image can be determined from the lighting, the shooting technique, the resolution of the imaging tool, and the selection of the imaging tool. Everyone wants photography with good image quality but in fact the result of taking a photo or image sometimes is not good. This research will discuss how to design and develop digital image quality improvement application using convolution process. System development model used in this research is RUP (Rational Unified Proces). This application is made using Borland Delphi 7.0 programming language. The testing process is done by testing Black Box Testing and White Box Testing.�Keywords: Digital Image, Image Quality, Convolution, Delphi, RUP

2020 ◽  
Vol 3 (3) ◽  
pp. 132
Author(s):  
Ahmad Zuhair ◽  
Farhan Khadafi ◽  
Achmad Muzakih Andriansyah ◽  
Bayu Saputra ◽  
Aries Saifudin

The development of decision support system applications for the selection of the best employees is very important to support management in making decisions. This application must be free of errors because if there are errors can be detrimental to several parties, both the company and the employee. To guarantee that the floating application is error free, a test is needed. Testing on an application aims to check whether a program is running properly or there are still errors that must be corrected so that the program created will be a program that has good quality. The testing technique consists of White Box Testing and Black Box Testing which are widely used by testers to check the program is appropriate or not. The Best Employee Decision Support Application will be tested using Black Box Testing where the test only aims to see whether the program is in accordance with the function desired by the program without knowing the program code used. Types of testing of the various Black Box methods, one of which is the Equivalence Partitions used by the authors in this study. Equivalence Partitions Technique is a test based on data entry on each form in the Best Employee Decision Support System, each input menu will be tested and grouped according to function whether it is valid or invalid. With this test the quality of the software created can be expressed objectively very well and has fulfilled all the requirements set.


2007 ◽  
Author(s):  
G. E. Gorlachev ◽  
D. S. Kosyrev ◽  
Carlos Granja ◽  
Claude Leroy ◽  
Ivan Stekl

2013 ◽  
Author(s):  
Huadong Zheng ◽  
Zhenxiang Zeng ◽  
Tao Wang ◽  
Chi Wang ◽  
Yingjie Yu

2005 ◽  
Author(s):  
Bin Rong Wu ◽  
Satoshi Ito ◽  
Yoshitsugu Kamimura ◽  
Yoshifumi Yamada

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