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Quality Analysis Of Logistics Management Information System Software Using MCALL: Quality Analysis Of Logistics Management Information System Software Using MCALL Aziz Ma'sum; Jejen Samsul Aripin
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.939.pp1299-1303

Abstract

The development of information technology is so rapid to make the needs of technology increase. The progress of an organization depends on the information technology used. But in using an information technology must be concerned with the quality of information technology used. Software testing is one of the most important things in determining software quality. This research was conducted to determine the quality of the Logistics Management Information System software that has been used at the Bandung Institute of Technology. This test uses the McCall model framework in which the quality factor variables tested are correctness, reliability, efficiency, integrity, usability, maintainability, flexibility, testability, portability, reusability and interoperability. The data collection method used is the observation method used for information gathering by directly observing the activities of the research object environment and the interview method used to collect data regarding information on Logistics Management Information System software through interviews with several employees who understand the Information System system. Logistics Management. Based on the results of research that has been done there are still some shortcomings including the factors of reliability, efficiency, usability and interopability. While the factors of correctness, maintainability, flexibility, testability, portability and reusability have met the software quality factors and organizational needs.
Design of Mobile Robot Wall Follower Using Microcontroller Using Fuzzy Logic Algorithms Jejen Samsul Aripin
Jurnal Teknik Informatika C.I.T Medicom Vol 11 No 1 (2019): Informatika
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (736.896 KB) | DOI: 10.35335/cit.Vol11.2019.6.pp1-7

Abstract

Designing and implementing artificial intelligence for car robots is not easy, but with the development of technology, many methods can be used to support the creation of artificial intelligence. The type of control is also very diverse, depending on the object to be created. One of the technologies that can be used to combine these capabilities is fuzzy logic. Where the use of fuzzy logic technology has now developed rapidly and widely in various applications, ranging from information analysis to industrial processes, electronic equipment and others. In this research, logic control design is implemented on the wall follower robot car. Full logic to make movement decision making that combines multiple input data with capabilities, with the decision making technique, the robot wall follower can have the ability to move along the wall stable. This study aims to produce a fuzzy logic design that can be implemented on a wall follower robot car so that when the robot car moves, it can navigate the wall stably. The final result of this research is a logic control design that can be implemented on a wall follower robot car made using wall follower algorithm and Sugeno fuzzy logic to make decisions on the control of the robot car wheel so that when the robot car moves down the wall, the robot car can adjust the distance to the wall to keep it constant.