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Journal : Kharisma Tech

Memahami Sistem Self Service Menggunakan Unified Modeling Language Lusi Ho; Syaiful Rahman; Abdul Munir
KHARISMA Tech Vol 16 No 2 (2021): Jurnal KHARISMA Tech
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.958 KB) | DOI: 10.55645/kharismatech.v16i2.110

Abstract

This study aims to determine whether by using the Unified Modeling Language application developers can easily understand the self service system. The method used in this study is the Unified Modeling Language method to produce system modeling in the form of three Unified Modeling Language diagrams (use case diagrams, activity diagrams, and class diagrams) and the test method to produce an average score of 89.75 test respondents' understanding. Based on the research results obtained, it is concluded that the use of the Unified Modeling Language makes it easier for application developers to understand the self service system of the Self Service in Food Menu and Order application so that it can be used as a benchmark if you want to develop Self Service in Food Menu and Order applications in the future.
PENGUJIAN WEBSITE INVITEES MENGGUNAKAN METODE LOAD TESTING DENGAN APACHE JMETER Wanta Tejaya; Syaiful Rahman; Abdul Munir
KHARISMA Tech Vol 18 No 1 (2023): Jurnal KHARISMATech
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v18i1.305

Abstract

The purpose of this research is to do a performance test on the Invitees website and how optimal the load time is on the main function of the invitees website. This test was conducted using the Load Testing method with the Apache Jmeter tool. The load time obtained from the test is then compared with the test target to find out how optimal the load time of the Invitees website is. From the test, it was obtained that the average load time of the invitees website when the service was used, represented by the first and second scenarios, had met the test target, which was under 3 seconds. As for the results based on the third scenario which represents the condition of the service used with twice as many user loads, the average load time does not meet the test target. So it can be concluded that the Invitees website has worked optimally when the service is used but still needs to be improved if the service is used by more users.