Functional Evaluation of the Logia Dashboard Using Boundary Value Testing and Cause-Effect Graph Techniques

Muhammad Rizky Aulia Ramadhan, Friska Abadi, Dodon Turianto Nugrahadi, Setyo Wahyu Saputro, Rudy Herteno

Abstract


The Logia Dashboard is a web-based information system used to manage rehabilitation plant data on post-mining land. As an alpha-stage system, Logia requires thorough functional and performance evaluation to ensure that all input validations, logical processes, and system responses operate correctly before wider implementation. This study aims to evaluate the functional reliability and performance of the Logia Dashboard by applying a combined approach of Boundary Value Testing (BVT) and Cause-Effect Graph (CEG) techniques, supported by performance testing using Google Lighthouse. The research design adopts a black-box testing approach. BVT is applied to validate input boundaries on critical features, including login, data editing, QR code generation, and account creation. Meanwhile, CEG is used to model logical relationships between input conditions and system outputs to generate systematic test cases. A total of 39 optimized functional test cases were executed in a controlled local environment. Performance testing was conducted using Lighthouse by measuring key metrics such as First Contentful Paint (FCP), Largest Contentful Paint (LCP), Total Blocking Time (TBT), and Cumulative Layout Shift (CLS). The functional testing results show that 37 out of 39 test cases passed, yielding a success rate of 94.87%. Two failed cases were identified in the login feature, indicating weaknesses in input validation feedback. Performance testing produced an average Lighthouse score of 97, demonstrating that the system has excellent load speed and interface stability, although minor layout instability was detected on certain pages. These results indicate that the combined application of BVT and CEG is effective for detecting boundary-related and logical input errors in alpha-stage web systems. The findings also provide concrete recommendations for improving login validation and interface stability, supporting further development of the Logia Dashboard toward a more reliable and robust system for post-mining land management.

Keywords


Black-box Testing; Boundary Value; Cause Effect Graph; Performance Testing

Full Text:

Link Download

References


Akinboboye , O., Afrihyia, E., Frempong , D., Appoh, M., Omolayo, O., Umar, M. O., . . . Okoli, I. (2021). A risk management framework for early defect detection and resolution in technology development projects. International Journal of Multidisciplinary Research and Growth Evaluation, 2(4), 958-974. https://doi.org/10.54660/.IJMRGE.2021.2.4.958-974

Alomari, H. W., Ramasamy, V., Kiper, J. D., & Potvin , G. (2020). A user interface (UI) and user experience (UX) evaluation framework for cyberlearning environments in computer science and software engineering education. Heliyon, 6, 1-18. https://doi.org/10.1016/j.heliyon.2020.e03917

Althunayyan, M., Saxena, N., Li, S., & Gope, P. (2022). Evaluation of black-box web application security scanners in detecting injection vulnerabilities. Electronics, 11(13), 2049. https://doi.org/10.3390/electronics11132049

Anggraeni, O. S., Sugiarto, L., & Agustin, T. (2024). Studi komparatif performa framework JavaScript modern dalam pengembangan aplikasi web. Modem: Jurnal Informatika dan Sains Teknologi, 2(4), 162–177. https://doi.org/10.62951/modem.v2i4.239

Axza, F., Sofi'ie, F., & Qoiriah, A. (2023). Analisis perbandingan framework front-end JavaScript React dan Vue pada pengembangan website. Journal of Informatics and Computer Science (JINACS), 5(2), 157–164. https://doi.org/10.26740/jinacs.v5n02.p157-164

Barus, A. C., Sinambela, E. S., Purba, I., Simatupang, h., Marpaung, M., & Pandjaitan, N. (2022). Performance testing and optimization of DiTenun website. Journal of Applied Science, Engineering, Technology, and Education, 4(1), 45-54. https://doi.org/10.35877/454RI.asci841

Bialy, M., Lawford, M., Pantelic, V., & Wassyng, A. (2015). A methodology for the simplification of tabular designs in model-based development. 2015 IEEE/ACM 3rd FME Workshop on Formal Methods in Software Engineering (pp. 47-53). Florence, Italy: IEEE. https://doi.org/10.1109/FormaliSE.2015.15

Cahyono, N., & Kamarudin. (2024). Perbandingan GTMetrix, Lighthouse, Pingdom dan PageSpeed Insight dalam evaluasi performa website. Jurnal Ilmiah Media Sisfo, 18(2), 201–210. https://doi.org/10.33998/mediasisfo.2024.18.2.1901

Developers, G. (2024). Performance scoring in Lighthouse. Retrieved 2024, from

Google Chrome Developer Documentation: https://developer.chrome.com/docs/lighthouse/performance/performance-scoring?hl=id

Emadi, J. (2023). The development of a design theory for web-based information systems. Journal of Robotics Spectrum, 1, 13-23. https://doi.org/10.53759/9852/JRS202301002

Gustinov, M. D., Azani, N. W., Ghani, R. A., Auliani , S. N., Maharani, S., Hamzah, M. L., & Rizki, M. (2023). Analysis of web-based e-commerce testing using black box and white box methods. International Journal of Information System and Innovation Management, 1(1), 20-31. https://doi.org/10.55583/ijisim.v1i1.687

Huriati, P., Azmi , H., Wati, Y., Meidelfi, D., & Lestari, T. (2020). Black box testing on the online quiz application using the equivalence partitions method. International Journal of Advanced Science Computing and Engineering, 2(2), 51-56. https://doi.org/10.62527/ijasce.2.2.48

Inal, Y. (2024). Usability and optimization of online apps in user's context. PeerJ. Computer science, 10, 1-27. https://doi.org/10.7717/peerj-cs.2561

Ismiati, S., Aditiawan, F. P., & Nurlaili, A. L. (2024). Black box testing with the equivalence partitioning and cause effect graph method in archive information system. Jurnal Teknik Informatika (JUTIF), 5(4), 981–990. https://doi.org/10.52436/1.jutif.2024.5.4.1944

Kartono, F. K., Nursaadah, S., Nugroho, M. N., Tama, D. A., Mashudi, F. A., Wicaksono, A., & Nasir, M. (2024). Pengujian black box testing pada sistem website Osha Snack: Pendekatan teknik boundary value. Jurnal Kridatama Sains Dan Teknologi, 6(2), 754-766. https://doi.org/10.53863/kst.v6i02.1407

Leoni, M. d., Felli, P., & Montali, M. (2021). Integrating BPMN and DMN: Modeling and analysis. J Data Semant 10, 10, 165–188. https://doi.org/10.1007/s13740-021-00132-z

Maulana, B. A., Mawarni, E., Hidayattuloh, M. Y., Suryawijaya, V., & Saifudin, A. (2023). Pengujian black box pada sistem informasi barang berbasis web menggunakan metode boundary value analysis. OKTAL : Jurnal Ilmu Komputer dan Science, 2(6), 1747-1753. Retrieved 2024, from https://journal.mediapublikasi.id/index.php/oktal/article/view/3094

Nugroho, E. D. (2021). Development of applications for simplification of Boolean functions using Quine–McCluskey method. Telematika: Jurnal Telematika Dan Teknologi Informasi, 18(1), 27-36. https://doi.org/10.31315/telematika.v18i1.3195

Perbawa, D. S., & Nurohim, G. S. (2020). Pengujian aplikasi berbasis website dengan black box testing metode boundary value analysis dan responsive testing. Journal Speed–Sentra Penelitian Engineering dan Edukasi, 12(4), 1-5.

Permatasari, I., Adhania, F., Putri, S. A., & Nursari, S. R. (2023). Pengujian black box menggunakan metode analisis nilai batas pada aplikasi DANA. Konstelasi: Konvergensi Teknologi dan Sistem Informasi, 3(2), 373-387. https://doi.org/10.24002/konstelasi.v3i2.8289

Pradipta, I. G., Kusuma, I. D., & Yuhana, U. L. (2024). Black box testing in the Access by KAI application using boundary value analysis and graph-based testing. INFOTECH Journal, 10(1), 122-127. https://doi.org/10.31949/infotech.v10i1.9577

Pratama, S. D., Lasimin, L., & Dadaprawira, M. N. (2023). Pengujian black box testing pada aplikasi Edu Digital berbasis website menggunakan metode equivalence dan boundary value. Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD, 6(2), 560-569. https://doi.org/10.53513/jsk.v6i2.8166

Selviana, E. Z., Wahanani, H. E., & Aditiawan, F. P. (2023). Black box testing in community service systems using boundary value analysis and cause effect graph methods (Case study of Jombang District Community and Village Empowerment Service). East Asian Journal of Multidisciplinary Research, 2(10), 4161-4184. https://doi.org/10.55927/eajmr.v2i10.6435

Siahaan, M., & Vianto, V. O. (2021). Comparative analysis study of front-end JavaScript frameworks performance using Lighthouse tool. Jurnal Mantik, 6(3), 3463-3468. https://doi.org/10.35335/mantik.v6i3.3131

Sumakul, J. R., & Mailoa, E. (2023). Analisa performa website kabupaten kota di Provinsi Sulawesi Utara menggunakan website performance testing tools. Jurnal Minfo Polgan, 12(1), 1262-1271. https://doi.org/10.33395/jmp.v12i1.12701

Widia, D. M., Rosalin, S., Asriningtias, S. R., & Sonalita, E. (2021). Black box testing menggunakan boundary value analysis dan equivalence partitioning pada aplikasi pengadaan bahan baku batik dengan pendekatan use case. JIMP : Jurnal Informatika Merdeka Pasuruan, 7(2), 15-21. https://doi.org/10.37438/jimp.v6i1.300

Wintana, D., Pribadi, D., & Nurhadi, M. Y. (2022). Analisis perbandingan efektivitas white-box testing dan black-box testing. Jurnal Ladang Artikel Ilmu, 2(1), 8-16. https://doi.org/10.31294/larik.v2i1.1382




DOI: http://dx.doi.org/10.35671/telematika.v18i2.3121

Refbacks

  • There are currently no refbacks.


 


Indexed by:

   

Telematika
ISSN: 2442-4528 (online) | ISSN: 1979-925X (print)
Published by : Universitas Amikom Purwokerto
Jl. Let. Jend. POL SUMARTO Watumas, Purwonegoro - Purwokerto, Indonesia


Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License .