Sistem Informasi PPDB Dengan Menerapkan Metode Simple Additive Weight (SAW) Dalam Sistem Pendukung Keputusan Pemilihan Sekolah

  • Candra Novaliandi Pranata Putra Universitas Wijaya Putra
  • Alven Safik Ritonga Universitas Wijaya Putra
Keywords: Sistem Informasi, Simple Additive Weight, sistem pendukung, efisiensi proses

Abstract

This research proposes and implements a web-based New Student Admission Information System (PPDB) using the Simple Additive Weight (SAW) method as a decision support system for school selection. The case study was conducted at the Lidah Kulon I/464 Surabaya Elementary School. The background of this research is driven by the significant impact of information technology advancements in the education sector. Lidah Kulon I/464 Surabaya Elementary School, as an educational institution committed to achieving excellence, discipline, faith, science and technology (IPTEK), as well as environmental awareness, strives to reduce paper usage in the new student registration process by transitioning to a more efficient administrative information system. The results of the tests state that the system has succeeded in various aspects, including the use of the Certainty Factor Method, diagnosis menu, information menu, login menu, and others. The conclusion of this research is that the system has been implemented successfully, supporting the efficiency of the PPDB process, and providing easy access to users. System development recommendations for the future include flexibility without hard coding, more comprehensive user management, the development of a more advanced school selection system, more accurate entrance fee calculations, and considerations for seasonal factors and school promotions.

Keyword: PPDB Information System, Simple Additive Weight (SAW), Method Student Registration, Efficiency Educational Administration

References

N. Purwati Amik BSI Yogyakarta, “Perancangan Sistem E-Voting Untuk Pemilihan Kepala Daerah (Pilkada),” Bianglala Inform., vol. 3, no. 1, Nov. 2015, doi: 10.31294/BI.V3I1.573.

D. Y. H. Tanjung and R. Adawiyah, “Optimizing Selection of Decision Support System with Fuzzy Simple Additive Weighting,” 2018 6th Int. Conf. Cyber IT Serv. Manag. CITSM 2018, Mar. 2019, doi: 10.1109/CITSM.2018.8674360.

N. Nunsina, C. Fadhilah, and K. Kulbahri, “Suport System Decision (DSS) Presma Elections Of Uniki Using Simple Additive Weighthing Methode (SAW),” Dharmawangsa Int. J. Soc. Sci. Educ. Humanit., vol. 3, no. 2, pp. 07–17, Aug. 2022, doi: 10.46576/IJSSEH.V3I2.2818.

M. Afif, Y. Said, and M. Atri, “Computer vision algorithms acceleration using graphic processors NVIDIA CUDA,” Cluster Comput., vol. 23, no. 4, pp. 3335–3347, Dec. 2020, doi: 10.1007/S10586-020-03090-6/METRICS.

A. Slowik and H. Kwasnicka, “Evolutionary algorithms and their applications to engineering problems,” Neural Comput. Appl., vol. 32, no. 16, pp. 12363–12379, Aug. 2020, doi: 10.1007/S00521-020-04832-8/TABLES/4.

K. K. Ko and E. S. Jung, “Development of Cybersecurity Technology and Algorithm Based on Quantum Computing,” Appl. Sci. 2021, Vol. 11, Page 9085, vol. 11, no. 19, p. 9085, Sep. 2021, doi: 10.3390/APP11199085.

O. A. Alzubi, J. A. Alzubi, M. Alweshah, I. Qiqieh, S. Al-Shami, and M. Ramachandran, “An optimal pruning algorithm of classifier ensembles: dynamic programming approach,” Neural Comput. Appl., vol. 32, no. 20, pp. 16091–16107, Oct. 2020, doi: 10.1007/S00521-020-04761-6/METRICS.

A. Ibrahim and R. A. Surya, “The Implementation of Simple Additive Weighting (SAW) Method in Decision Support System for the Best School Selection in Jambi,” J. Phys. Conf. Ser., vol. 1338, no. 1, p. 012054, Oct. 2019, doi: 10.1088/1742-6596/1338/1/012054.

S. Devi and H. T. Sihotang, “Decision Support Systems Assessment of the best village in Perbaungan sub-district with the Simple Additive Weighting (SAW) Method,” J. Mantik, vol. 3, no. 3, pp. 112–118, Nov. 2019, Accessed: Apr. 24, 2024. [Online]. Available: https://iocscience.org/ejournal/index.php/mantik/article/view/334.

Published
2024-04-28
Section
Articles