Black Box Testing pada Aplikasi Berbasis Web Menggunakan Metode Equivalence Partitioning dan Boundary Value Analysis (Studi Kasus: Situs E-Commerce limabenua.com)

Fadhilasari, Annisa (2024) Black Box Testing pada Aplikasi Berbasis Web Menggunakan Metode Equivalence Partitioning dan Boundary Value Analysis (Studi Kasus: Situs E-Commerce limabenua.com). Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

The COVID-19 pandemic has impacted the economic-business sector, leading to an economic shock, while e-commerce has experienced rapid growth. This situation provides opportunities for businesses to shift from conventional to online business to expand their customer base, including PT Lima Benua Koneksindo. As a provider of IT services, the current web-commerce plays a significant role in supporting the company's business activities. However, in its implementation, the number of transactions in Lima Benua's web-commerce is fewer compared to offline stores and existing marketplaces, thus requiring testing that considers the user perspective. Black Box testing is the appropriate technique to test this system because the test cases are derived from the end-user perspective. By combining two techniques, Equivalence Partitioning, which divides inputs into equivalence partitions, and Boundary Value Analysis, which divides inputs into boundary values, it is expected to identify errors, assess functionality, measure effectiveness, and provide recommendations and improvement designs for the tested system. Referring to the test results, the effectiveness value of the application is known to be 81.02%, which theoretically falls under very effective; however, the incomplete transaction process indicates that the system's functionality is not yet optimal.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorWahanani, Henni EndahNIDN0022097811UNSPECIFIED
Thesis advisorAkbar, Fawwaz AliNIDN0017039201UNSPECIFIED
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science > Departemen of Informatics
Depositing User: Annisa Fadhilasari
Date Deposited: 29 Apr 2024 06:15
Last Modified: 29 Apr 2024 06:15
URI: https://repository.upnjatim.ac.id/id/eprint/22308

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