Pengujian Aplikasi Presensi SDN Paku Jaya 02 Secara Black Box
Keywords:
Presensi, Sekolah, Sistem, Data, SiswaAbstract
SDN Paku Jaya 02 in carrying out the attendance process already uses the Attendance Application which can be accessed via a special school's. So for those who want to do absenteeism can directly visit these computers. The application sometimes still experiences damage where when students take attendance it is sometimes not detected. Because of this, we plan to test the presence application. The method we use in conducting this test is to conduct a survey first. The survey was conducted to collect data regarding the attendance application. Then we conducted interviews with the school and those in control of the application. And finally we tested the application. After doing the black box testing of the attendance application, the results show that the application is good. With a system that is easy to access by students and teachers. And the system can run according to its function. Based on the tests that have been carried out, we conclude that the attendance application system is included in a system that is easy to access and easy to use. At the time of testing the system runs according to the results we expect. So the system is included in a successful system.
References
Afzal, W., & Torkar, R. (2008). Lessons from Applying Experimentation in Software Engineering Prediction Systems. Asia-Pacific Software Engineering Conference - Workshop Proceedings, 35-43.
Batuwita, R., & Palade, V. (2010). Efficient Resampling Methods for Training Support Vector Machines with Imbalanced Datasets. Proceedings of the International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). Barcelona: IEEE Computer Society. doi:10.1109/IJCNN.2010.5596787
Carver, R. H., & Nash, J. G. (2012). Doing Data Analysis with SPSS® Version 18. Boston: Cengage Learning.
Diana. (2017). Sistem Informasi Absensi berbasis WEB di Politeknik Negeri Padang. poligon.co.id.
Dubey, R., Zhou, J., Wang, Y., Thompson, P. M., & Ye, J. (2014). Analysis of Sampling Techniques for Imbalanced Data: An n = 648 ADNI Study. NeuroImage, 220–241.
García, S., Fernández, A., Luengo, J., & Herrera, F. (2010). Advanced Nonparametric Tests for Multiple Comparisons in the Design of Experiments in Computational Intelligence and Data Mining: Experimental Analysis of Power. Information Sciences, 2044–2064.
Habiby, A. I., & Yamasari, Y. (2017). Sistem Informasi Sekolah Berbasis WEB (Studi Kasus : TK Kusuma Putra Kota Mojokerto). Jurnal Manajemen Informatika, 7(2), 94-100.
Jain, M., & Richariya, V. (2012, January). An Improved Techniques Based on Naive Bayesian for Attack Detection. International Journal of Emerging Technology and Advanced Engineering, 2(1), 324-331.
Mustaqbal, M. S., Firdaus, R. F., & Rahmadi, H. (2015, Agustus 10). Pengujian Aplikasi Menggunakan Black Box Testing Boundary Value Analysis. Pengujian Aplikasi Menggunakan Black Box Testing Boundary Value Analysis (Studi kasus : Aplikasi Prediksi Kelulusan SNMPTN), Volume I, 1-6.
Wiradiputra, M. R., Candiasa, I. M., & Divayana, D. G. (2021, Februari 1). Pengembangan dan Pengujian Sistem Informasi Manajemen Jalan Untuk Pemeliharaan Jalan Di Kabupaten Buleleng Menggunakan Standar Iso 9126. (M. R. Wiradiputra, I. M. Candiasa, & D. G. Divayana, Eds.) Pengembangan dan Pengujian Sistem Informasi Manajemen Jalan Untuk Pemeliharaan Jalan Di Kabupaten Buleleng Menggunakan Standar Iso 9126, Volume 6; p-ISSN : 2615-2703 (Print) dan e-ISSN: 2615-2711 (Online), 1-10.