Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal ILKOMNIKA: Journal of Computer Science and Applied Informatics
Ramadhani, Karunia Putri Anggrai
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Black Box Testing Using Equivalence Partitioning for Indonesian Livestock Population Prediction Application Prabowo, Tito; Lestariningsih, Lestariningsih; Karomah, Siti; Ramadhani, Karunia Putri Anggrai
ILKOMNIKA Vol 8 No 2 (2026): Volume 8, Number 2, August 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i2.932

Abstract

When software is developed, thorough functional validation is essential to ensure that applications operate according to design specifications and user expectations. Inadequate data validation can lead to inaccurate database records, causing prediction models to return unreliable forecasts that negatively affect stakeholders. This paper presents a functional verification of an Indonesian livestock population prediction web platform using the Equivalence Partitioning (EP) technique within a Black Box Testing framework. Rather than focusing solely on output validation, this study formalizes input domains by partitioning them into valid and invalid equivalence classes across five core application modules: Authentication, Population Data Management, Predictive Analytics Execution, News Content Administration, and Interactive Mapping. To evaluate testing quality quantitatively, a Test Effectiveness Metric based on the ratio of successfully executed valid test cases to total designed partitions was introduced, achieving a functional effectiveness score of 100% across all 9 designed test cases. The empirical findings confirm that the system correctly enforces input constraints and error-handling logic, providing a robust web application for agricultural planning.
Co-Authors Karomah, Siti Lestariningsih Lestariningsih Prabowo, Tito