Analisis kinerja pengujian black box terhadap website nestify setelah implementasi equivalence partitioning dan boundary value analysis. Analisis kinerja pengujian Black Box pada website Nestify menggunakan Equivalence Partitioning & Boundary Value Analysis. Evaluasi efektivitas fungsionalitas & identifikasi bug.
Aplikasi Nestify merupakan aplikasi berbasis website yang dirancang untuk memfasilitasi pengelolaan properti indekos, baik bagi pemilik maupun penyewa. Untuk memastikan aplikasi ini berjalan sesuai dengan kebutuhan fungsional yang digambarkan pada use case diagram, maka dilakukan pengujian menggunakan metode Black Box dengan teknik Equivalence Partitioning (EP) dan Boundary Value Analysis (BVA). Kasus uji didesain dengan pendekatan berbasis use case untuk memastikan validasi output sesuai dengan input yang diberikan. Penelitian ini mengkombinasikan teknik Equivalence Partitioning (EP) untuk optimalisasi pemilihan kasus uji melalui pengelompokan input, dengan Boundary Value Analysis (BVA) yang fokus pada pengujian nilai-nilai batas antar partisi. Desain kasus uji yang cermat menjadi kunci untuk menemukan kesalahan secara efektif. Hasil yang ditemukan setelah dilakukan pengujian pada fungsionalitas Login Akun Pemilik Kost membuktikan bahwa kombinasi metode ini efektif. Dari 10 kasus uji yang dieksekusi, 9 kasus uji (90%) dinyatakan berhasil dan dikategorikan "Sangat Baik". Terdapat satu kasus uji (10%) yang tidak lolos, di mana kegagalan teridentifikasi pada validasi input, khususnya dalam penanganan sistem terhadap batasan panjang karakter maksimal untuk kolom email.
This paper, titled "Analisis Kinerja Pengujian Black Box Terhadap Website Nestify Setelah Implementasi Equivalence Partitioning dan Boundary Value Analysis," presents an investigation into the functional integrity of the Nestify website, an application designed for property management. The authors employ a Black Box testing approach, specifically utilizing Equivalence Partitioning (EP) and Boundary Value Analysis (BVA), guided by use case diagrams to derive test cases. The abstract clearly outlines the methodology, emphasizing EP for test case optimization through input grouping and BVA for scrutinizing boundary conditions. The stated goal is to ensure the application aligns with its functional requirements, and the paper reports a successful application of these techniques. The core finding reported is the testing of the 'Login Akun Pemilik Kost' (Owner Login Account) functionality, where a high success rate of 90% (9 out of 10 test cases) was achieved, categorized as "Sangat Baik" (Very Good). Crucially, one specific failure was identified related to input validation for the email field's maximum character length. While this demonstrates the efficacy of EP and BVA in uncovering defects, the abstract's scope appears limited to a single key functionality. To fully address the "Analisis Kinerja" (Performance Analysis) aspect implied by the title for the *entire website*, the abstract could benefit from clarifying if this specific module's testing is representative or if it's merely an initial demonstration. Furthermore, the analysis of 'kinerja pengujian' could be expanded beyond just finding a bug; it would be valuable to discuss the efficiency of the test case generation or the coverage achieved by these methods in comparison to other approaches. Overall, the paper provides a clear demonstration of applying well-established Black Box testing techniques to a real-world web application. It successfully identifies a critical input validation flaw, highlighting the practical value of EP and BVA. For future iterations or a full paper, it would be beneficial to broaden the testing scope to encompass more functionalities of the Nestify website, thereby providing a more comprehensive "kinerja" analysis of the application as a whole. Additionally, a deeper discussion on the *performance of the testing process itself*, perhaps by quantifying the effort saved or the bug detection rate compared to simpler testing methods, would significantly strengthen the paper's contribution to the field of software quality assurance. This would move beyond merely reporting test results to a more profound analysis of the testing strategy's effectiveness.
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