PERANCANGAN SISTEM FILE DETECTION DAN REKOMENDASI FILE OPENER BERBASIS WEB

ADITYA FERDIANA ARIEF, NIM. 09650002 (2016) PERANCANGAN SISTEM FILE DETECTION DAN REKOMENDASI FILE OPENER BERBASIS WEB. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

Preview	Text (PERANCANGAN SISTEM FILE DETECTION DAN REKOMENDASI FILE OPENER BERBASIS WEB) 09650002_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf Download (709kB) | Preview
	Text (PERANCANGAN SISTEM FILE DETECTION DAN REKOMENDASI FILE OPENER BERBASIS WEB) 09650002_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf Restricted to Registered users only Download (1MB)

Abstract

Many types of files that have different extensions, thus making confusion in running a file that is not clear what type of extension. Users should seek information file extensions belong to what file type, and then look for software opener to open the file. It is less effective and efficient, and waste a lot of time. Therefore, the researchers decided to lift an object of research the file extension due to the lack of web-based information system that is effective and efficient to be accessible in the search for information of a type and file extension. This study uses a system development SDLC (Software Development Life Cycle). System development begins with a comparison of the features and functions of the file extension of some earlier systems to find its shortcomings. Then, the addition of new features such as file drag files ditection method. The result is implemented in programming language. Each phase of implementation will be corrected to obtain the desired features and functions. The development process will be completed if the system has performed as expected. Stages of research is divided into several steps: requirements analysis, system design, implementation, and testing. Based on test results involving 24 respondents or the above, it is known that the majority of users expressed a good assessment of the design of the File System Detection and Recommendations File Opener Web-Based have been made, obtained the test results indicate bring 100% of users stated functionality of the system has goes well and 0% of respondents said functional system is not running properly. While based on testing in terms of usability, the conclusion that the majority of respondents are satisfied with the system are made. Data usability test results showed that 54% of respondents stated strongly agree, 40% of respondents agreed means that 94% of respondents stated functionality of the system has been running well and only 6% were neutral, and 0% of respondents said functional system is not running properly.

Share this knowledge with your friends :

Actions (login required)

View Item