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All Journal Diponegoro Journal of Accounting Journal of Engineering and Management in Industrial System WIDYA LAKSANA Jurnal Komunikasi Universitas Garut: Hasil Pemikiran dan Penelitian JRIIN :Jurnal Riset Informatika dan Inovasi Journal on Pustaka Cendekia Informatika Jurnal Sosial Politik Humaniora
Arya Nugraha
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Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Journal on Pustaka Cendekia Informatika

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Pengujian Black Box Shopee PayLater dengan Boundary Value, Equivalence Partitioning, dan Use Case: Penelitian Aji Nata Sobari; Arya Nugraha; Haekal Abdullah Ali Akbar Fajar Ramadhan; Muhammad Lukman Abdurahman; Muhammad Supyan; Trisna Prawijaya; Subhanjaya Angga Atmaja
Journal on Pustaka Cendekia Informatika Vol. 3 No. 1 (2025): Journal on Pustaka Cendekia Informatika: Volume 3 Nomor 1 February - May 2025
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v3i1.64

Abstract

Buy Now Pay Later (BNPL) services such as Shopee PayLater have transformed consumer transaction patterns by offering convenience and flexibility in shopping. However, systems like this also carry high risks if not accompanied by adequate software testing. This article presents a study aimed at evaluating the reliability of the Shopee PayLater system using the Black Box Testing approach with Boundary Value Analysis (BVA) and Equivalence Partitioning (EP) techniques, combined with user-based use case scenarios. This method allows for testing various input variations, especially at boundary values and data structure validity. Out of 14 test cases executed, 11 successfully detected input errors accurately, while the remaining 3 failed to handle certain conditions, such as character length and OTP format. The Defect Removal Efficiency (DRE) obtained was 21.43%, indicating that the effectiveness of testing can still be improved. Overall, this approach has proven to enhance testing coverage and detect relevant potential errors in digital financial systems.
Co-Authors Adnyana Putra Aji Nata Sobari Alfy Rachman Sanad Anastasia, Jesika Anil Mu'ir, M. Izza Chintya Ayu Brillianti Dharmapala, Ekanova Gatot Yudoko Haekal Abdullah Ali Akbar Fajar Ramadhan Herry Laksito Komang Hendra Setiawan Made Kurnia Widiastuti Giri Mau, Muliadi Muhammad Lukman Abdurahman Muhammad Supyan Najmul Umam, Muhammad Mufti Saprudin Sonni, Alem Febri Subhanjaya Angga Atmaja Trisna Prawijaya