Black Box Testing of SIPADI from Student Perspective Using EP and BVA Techniques

Abstract

The Digital Learning System (SIPADI) is a learning platform that needs to be tested to check its functionality to ensure quality from the user's perspective, namely students. The purpose of this research is to assess the functionality of SIPADI by applying Black Box Testing method through Equivalence Partitioning and Boundary Value Analysis techniques. Testing was carried out on the main features of the system such as the login process, filling in attendance, and uploading assignments with various valid and invalid input scenarios. The Equivalence Partitioning technique was applied to divide inputs into categories that reflect normal and exceptional situations, while Boundary Value Analysis focused more on testing important values that could cause errors in the system. The results of the tests showed that SIPADI achieved an effectiveness of 92.85% for valid tests and 7.14% for invalid tests. Referring to the Ministry of Home Affairs R&D standard (1991), this level of effectiveness categorizes the system as “very effective”. The system has a good ability to recognize and handle various types of inputs and operate according to predetermined specifications. The test method applied proved effective in assessing the functionality of the system from the end user's point of view without requiring access to the internal code structure.