Pengujian pada Aplikasi Penggajian Pegawai dengan menggunakan Metode Blackbox

Vadlan Febrian, Muhamad Rizki Ramadhan, Muhammad Faisal, Aries Saifudin

Abstract


In this employee payroll application, if there is an error program there will be a loss for employees and the company. Losses for employees, if this application program error occurs then the salary reduction will experience delays due to the difficulty in the process of calculating employee salaries and employees will be late in receiving salaries. Losses for the company, if there is an error program in this application, the company will suffer losses if the employee wants a salary reduction quickly but the company cannot calculate quickly and accurately. In solving this problem, the authors use the black box testing method. Black box testing method is a test that sees the results of execution through test data and ensures the function of the software. Black box testing method has several testing techniques, namely Sample Testing, Boundary Value Analysis, Equivalence Partitions and others. From the testing techniques that have been mentioned, we use the Equivalence Partitions testing technique. Equivalence Partitions are tests that refer to data entry on the employee payroll application form, input will be tested and then put together based on the test function, both valid and invalid values. The expected results of this test are a payroll system for employees who are computerized, have standard rules in the process of developing the program so that it is easy to develop and maintain, and can minimize errors in processing salary calculations for employees.

Keywords


Black Box Testing; Equivalence Partitions; Employee Payroll Application

References


Akmaludin. (2013). Analisis Rancangan Animasi Interaktif Pembelajaran Anatomi Otak Manusia. Techo Nusa Mandiri, 1-11.

Arochman, Darmwan, A. S., & Santoso, F. H. (2016). Otomatisasi Desain Test Case Pengujian Perangkat Lunak Metode Black-Box Testing Dengan Teknik Equivalence Partitioning Menggunakan Algoritma Genetika. ictech arochmanmk, 47-52.

Hanifah, U., Alit, R., & Sugiarto. (2016). Penggunaan Metode Black Box Pada Pengujian Sistem Informasi Surat Keluar Masuk. Jurnal Teknik Informatika, 34-38.

Hidayat, T., & Muttaqin, M. (2018). Pengujian Sistem Informasi Pendaftaran dan Pembayaran Wisuda Online Menggunakan Black Blox testing dengan Menggunakan Metode Equivalence Partitioning dan Boundary Value Analysis. Jurnal Teknik Informatika UNIS, 6(1), 25-29.

Kesuma Jaya, M. A., Gumilang, P., Tresnawati, Andersen, Y. P., & Desyani, T. (2020). Pengujian Black Box pada Aplikasi Sistem Penunjang Keputusan Seleksi Calon Pegawai Negeri Sipil Menggunakan Teknik Equivalence Partitions. Jurnal Informatika Universitas Pamulang, 131-136.

Kurniawan, T. A. (2017). Pengujian Perangkat Lunak. Pengujian Struktur Program Dengan Pengujian Jalur Dasar (Basic Path Testing) : Teori dan Aplikasi, 29-32.

Liana, L. (2015). Pengujian Perangkat Lunak. Pengujian Perangkat Lunak, 1-15.

Muttaqin, M., & Hidayat, T. (2018). Pengujian Sistem Informasi Pendaftaran dan Pembayaran Wisuda Online Menggunakan Black Box Testing dengan Metode Equivalence Partitioning dan Boundary Value Analysis. Jurnal Teknik Informatika UNIS, 23-27.

MZ, M. K. (2016). Pengujian Perangkat Lunak Metode Black-Box Berbasis Equivalence Partitions Pada Aplikasi Sistem Informasi Sekolah. Mikrotik, 2-3.

Nurudin, M., Jayanti, W., Saputro, R. D., Saputra, M. P., & Yulianti. (2019). Pengujian Black Box pada Aplikasi Penjualan Berbasis Web Menggunakan Teknik Boundary Value Analysis. Jurnal Informatika, 27-33.




DOI: http://dx.doi.org/10.32493/informatika.v5i1.4340

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Vadlan Febrian, Muhamad Rizki Ramadhan, Muhammad Faisal, Aries Saifudin

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

Jurnal Informatika Universitas Pamulang (ISSN: 2541-1004 e-ISSN: 2622-4615)

Copyright © 2016-2020 Program Studi Teknik Informatika Universitas Pamulang. All rights reserved.



This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License