Sistem Prediksi Kelulusan Ujian Sertifikasi IT Dengan Metode Waterfall

Authors

  • Maulana Firmansyah Universitas Budi Luhur
  • Nuciko Abdul Halim Universitas Budi Luhur
  • Imelda Imelda Universitas Budi Luhur

DOI:

https://doi.org/10.51353/hthtfb09

Keywords:

IT Certification, Waterfall Method, Prediction System

Abstract

This study aims to develop a prediction system for IT certification exam success to boost candidates' confidence and identify participants who require additional training at PT Brainmatics. The main issue is how to effectively utilize historical data to produce accurate predictions and support less confident participants in better preparing for the exam. The study employs the Waterfall method due to its systematic and structured approach. The prediction system utilizes variables such as educational background, work experience, and previous test results. The development stages include needs analysis, system design, implementation, testing, and maintenance. The results show that the system provides accurate predictions with a high degree of reliability. This system assists PT Brainmatics training institutions in identifying participants who need additional support and improving the quality of IT training and certification exams

References

[1] Brainmatics, “Brainmatics: The School of Computing,” Brainmatics.id. [Online]. Available: https://brainmatics.id/wp-content/uploads/2025/01/brainmatics-curricula.pdf

[2] F. Febrianto, I. F. N. Aziz, M. A. Kosim, M. Darwis, and R. Hendrowati, “Implementation of The Resident’s Dues Applications (SIUMAS) Using Waterfall Method in RT X Cinere Village,” JISA(Jurnal Inform. dan Sains), vol. 6, no. 2, pp. 137–142, 2023, doi: 10.31326/jisa.v6i2.1766.

[3] R. A. Maulana, M. A. Fatih, L. A. Suto, and M. Darwis, “Development of Paramadina Roomhub Application As Room Booking System Using Waterfall Method,” vol. 07, no. 02, pp. 176–185, 2024.

[4] B. Setiadi, “Aplikasi Monitoring Keuangan Bagian Operasional Di Starindo Berbasis Web,” J. Ind. Eng. Oper. Manag., vol. 4, no. 1, 2021, doi: 10.31602/jieom.v4i1.5437.

[5] Sugiyono, Metode Penelitian Kuantitatif, Kualitatif, dan r&d. Bandung: Alfabeta, 2018.

[6] T. D. Pangetuti, “RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN BARU MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER,” UPN Veteran Jawa Timur, 2020.

[7] D. Hastuti, “SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JURUSAN SISWA DENGAN METODE NAÏVE BAYES PADA SMK NEGERI 2 KARANGANYAR,” STMIK Sinar Nusantara Surakarta, 2016.

[8] I. Solikin and S. Hardini, “Aplikasi Forecasting Stok Barang Menggunakan Metode Weighted Moving Average (WMA) pada Metrojaya Komputer,” J. Inform. J. Pengemb. IT, vol. 4, no. 2, pp. 100–105, 2019, doi: 10.30591/jpit.v4i2.1373.

[9] L. Muflikhah, W. L. Yunita, and M. T. Furqon, “Prediksi Nilai Mata Kuliah Mahasiswa Menggunakan Algoritma K-Apriori,” Sisfo, vol. 06, no. 02, pp. 157–172, 2017, doi: 10.24089/j.sisfo.2017.01.001.

[10] R. S. Pressman, Software Engineering: A Practitioner’s Approach 8e., 8th ed. New York: McGraw-Hill, 2015.

[11] A. Solichin, Pemrograman Web dengan PHP dan MySQL. Jakarta: Budi Luhur, 2016.

[12] W. Wulandari, “Implementasi Sistem Peramalan Persediaan Barang Menggunakan Metode Moving Average,” J. Media Inform. Budidarma, vol. 4, no. 3, p. 707, 2020, doi: 10.30865/mib.v4i3.2199.

[13] C. Djaoui, E. Kerkouche, K. Khalfaoui, and A. Chaoui, “A graph transformation approach to generate analysable maude specifications from UML interaction overview diagrams,” Proc. - 2018 IEEE 19th Int. Conf. Inf. Reuse Integr. Data Sci. IRI 2018, pp. 511–517, 2018, doi: 10.1109/IRI.2018.00081.

[14] N. Musthofa and M. A. Adiguna, “Perancangan Aplikasi E-Commerce Spare-Part Komputer Berbasis Web Menggunakan CodeIgniter Pada Dhamar Putra Computer Kota Tangerang,” OKTAL J. Ilmu Komput. dan Sains, vol. 1, no. 03, pp. 199–207, 2022.

[15] A. Khalfani et al., “Development of Book Nook Online Bookstore Application With,” vol. 11, no. 1, pp. 50–59, 2024.

Downloads

Published

2025-06-27