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Cloud-native systems are essential for modern software development, offering enhanced scalability, flexibility, and resilience through cloud computing environments. However, ensuring the reliability and performance of these systems presents a challenge due to their dynamic and distributed nature. Traditional testing methods, such as unit and integration testing, while valuable for detecting individual component defects and interactions, are insufficient for predicting failure rates in complex, cloud-native applications. This study explores the effectiveness of various testing techniques and quality metrics in predicting failure rates within scalable cloud-native systems. A comparative experimental study was conducted using three primary testing techniques: unit testing, integration testing, and chaos testing. The results indicate that chaos testing, when combined with advanced quality metrics such as migration rate and mismigration rate, significantly outperforms traditional methods in predicting failure rates and evaluating system resilience. These findings suggest that chaos testing offers a more comprehensive evaluation, simulating real-world disruptions to test system behavior under stress, which is essential for cloud-native environments where high availability and fault tolerance are critical. The study also highlights the importance of integrating predictive quality metrics, which improve the accuracy of failure predictions and enhance system reliability. The study concludes that for cloud-native systems, a combination of advanced testing techniques and predictive metrics is essential for ensuring high availability, scalability, and reliability in dynamic environments. Future research should focus on refining predictive testing approaches, developing standardized frameworks, and empirically validating new testing methods to address the growing complexity of cloud-native systems.

Pengujian perangkat lunak merupakan tahap penting dalam memastikan kualitas dan keandalan sistem sebelum digunakan secara luas. Salah satu metode yang umum digunakan adalah black box testing, yaitu pengujian yang berfokus pada fungsionalitas perangkat lunak tanpa memperhatikan struktur internal kode. Dalam penelitian ini, metode black box testing diterapkan dengan menggunakan teknik state transition untuk menguji sistem appointment klinik berbasis web “Citra Medica”. Pengujian dilakukan dengan memetakan alur status pengguna melalui diagram transisi, kemudian membuat skenario uji untuk setiap perubahan keadaan. Hasil pengujian menunjukkan bahwa seluruh fungsi sistem berjalan sesuai dengan spesifikasi, dengan tingkat keberhasilan pengujian mencapai 100% pada setiap skenario transisi. Metode ini terbukti efektif untuk mendeteksi kesalahan logika dan memastikan kestabilan sistem selama perpindahan status pengguna.

This study examines software testing on a Web-Based Population Data Management System in Penarukan Village. The goal is to ensure system reliability and functionality before implementation. The testing process includes Unit Testing, Integration Testing, Validation Testing, and System Testing. Unit Testing verifies individual functions, Integration Testing ensures module interaction, Validation Testing assesses compliance with user needs, and System Testing evaluates overall system performance. The results confirm that key features such as data management, birth and death registration, and population movement tracking function correctly. Comprehensive testing minimizes errors, making the system stable, secure, and user-oriented.

This research aims to address the challenges in sales data management and limited market reach faced by the Inegena Village-Owned Enterprise (BUMDes) in North Bajawa District, Ngada Regency, East Nusa Tenggara. The BUMDes produces and sells candlenut oil, a superior local product, but currently uses a manual sales and recording system (B2B and B2C), which leads to fluctuating demand, difficulties in sales data analysis, and decision-making that lacks valid data. To address these issues, a web-based e-commerce system was implemented. This system was designed using Agile methods, involving planning, implementation, software testing (black box testing), documentation, deployment, and maintenance. Furthermore, the Naïve Bayes algorithm was applied to visualize sales data and support better decision-making by classifying best-selling products, popular payment methods, and sales levels. The results of this research are expected to assist Inegena BUMDes in improving sales efficiency, expanding the market reach of candlenut oil products nationally. This system uses supporting software such as Xampp, PHP, and MySQL.

Software testing is a crucial stage in the development of information systems to ensure that applications can function according to user needs. System feasibility testing using UAT is intended to ensure that the system meets the functional requirements specified by the users. This study aims to apply UAT to a financial and inventory management information system used to manage various operational needs of the company, such as inventory recording, expense and income reporting, and employee wages. The UAT process is conducted by the system’s end-users, consisting of 16 respondents, including employees and the owner of CV. Nitah Tirta Makassar. The testing methodology includes several stages: UAT planning, preparing test questions through a Google Forms (gforms) questionnaire, conducting the tests, and analyzing the test result calculations. The results of this study indicate that the financial and inventory management information system meets user needs, based on UAT questionnaire score calculations that achieved an average interpretation score above 87% with a "very good" rating. With the implementation of UAT, it can be concluded that the financial and inventory management information system meets the users' requirements.

Software testing is a critical phase in information system development to ensure the system's quality and reliability. This study aims to evaluate the reliability and functionality of PT Perta Sakti Abadi's financial information system using the black-box testing method with the Equivalence Partitioning (EP) technique. This technique allows input data to be grouped into valid and invalid categories, minimizing test cases without reducing testing coverage. The testing focuses on the login feature as the system's primary component by evaluating various input combinations. The testing scenarios include boundary conditions to ensure the system handles inputs correctly in various situations.The results indicate that the system successfully verifies valid credentials, rejects access with invalid data, and provides informative error messages. Additionally, the system demonstrates resilience in handling testing scenarios, including inputs with special characters and empty fields. Input validation mechanisms function optimally, supporting secure user access and ensuring the login feature aligns with functional specifications. This successful testing forms a strong foundation for testing other modules, such as multi-level authentication and data encryption. Thus, the Equivalence Partitioning technique within the black-box testing method proves effective in enhancing the quality of web-based financial information systems.

In the digital business environment, web-based Point of Sale (POS) systems play a vital role in supporting transaction processing, inventory management, and operational decision-making. Ensuring the functional reliability of such systems is essential, particularly in critical authentication features that regulate user access. However, undetected functional errors within login and registration modules may disrupt operations, compromise data integrity, and reduce user experience quality. Therefore, this study aims to evaluate the functionality of the Wingpos website, focusing specifically on the login and registration features. The research applies the Black Box Testing approach using the Equivalence Partitioning technique, which enables systematic functional validation by classifying input data into representative valid and invalid partitions without requiring access to source code. The testing process involved designing structured test cases, executing input scenarios, and comparing actual system outputs with expected results. The findings reveal that most authentication processes function in accordance with system specifications, as seven out of ten test scenarios produced expected outcomes. Nevertheless, three discrepancies were identified, including inconsistent error message validation in the login feature and the system’s inability to properly verify invalid email domains during registration. These results indicate that while the system demonstrates general functional reliability, certain validation mechanisms require refinement. In conclusion, the application of Black Box Testing with the Equivalence Partitioning technique proves effective in identifying functional gaps and supporting quality assurance processes in web-based POS systems, particularly in strengthening authentication feature reliability and improving overall system performance

This research focuses on evaluating the Combox web application, a digital tool designed to help Food and Beverage (F&B) business owners strengthen their online presence. The analysis was carried out through Black Box Testing, specifically using the Equivalence Partitioning method, to assess core functionalities like login, logout, product management, and pagination. The findings reveal that while most features function as intended, there are issues with product addition and editing, as well as pagination when no data is available. These results highlight areas that need refinement to improve the application’s reliability and user experience. In summary, this research supports the advancement of a digital platform that enables F&B businesses to harness technology effectively in today’s competitive landscape.

Software testing is one of the aspects in software design methodology. The author conducted research by taking a case study on the inventory stock information system in a goods delivery service business. The testing technique for this information system uses the black box testing method, with the Equivalence Partitioning technique. From the testing results, the author found irregularities in the database and conducted a more in-depth analysis of the class diagram. The diversity of software types suggests the importance of flexibility and improvisation during software testing, such as determining the appropriate test cases, selecting the appropriate testing methods, and determining the suitable testing environment. Software testing should also consider the effectiveness of resources, project scheduling and deadlines, user/client requests, the availability of testing infrastructure, and other parameters that may be more complex.  

The purpose of this study was to determine the effect of the forensic accounting and audit investigations in detecting fraud procurement of goods and services. The rise of fraud cases in Indonesia, one of which is fraud related to public needs, namely the procurement of goods and services. This is reminiscent of the real threat of fraud in the form of corruption in the procurement of goods and services that can cause poor quality of goods / services produced so that they cannot serve the public interest effectively and efficiently. In this context, the community is the most disadvantaged party. Collecting data in this study through the distribution of questionnaires with a total sample of 34 auditor respondents in the field of Investigation of the Badan Pemeriksa Keuangan dan Pembangunan DKI Jakarta. This research uses PLS (Partial Least Square) analysis technique, using SmartPLS software testing tool version 3.2.8. The results of this study indicate that the results of the analysis of the application of forensic accounting and investigative audits have a significant effect in detecting fraud procurement of goods / services.