Decision Support System for Determining Employee Leave Using the Moora Method Case Study of the Central Bureau of Statistics of Medan City

Penulis

  • Cahayati Annisa Qawakib Universitas Battuta Penulis
  • Dewi Wahyuni Universitas Battuta Penulis
  • Chairul Imam Universitas Battuta Penulis

Kata Kunci:

Decision Support System, Employee Leave, MOORA, PHP, MySQL

Abstrak

Data is indispensable in the decision-making system process. Good and appropriate decisions require accurate, fast, and relevant data. The decision support system for determining employee leave at the Central Bureau of Statistics of Medan City still uses a simple method that is only considered by the general subdivision and its leadership without following the existing criteria standards, which is very inefficient for employees who have to wait for leave approval from their leaders. The method used in this decision support system for determining employee leave is the Multi-Objective Optimisation On The Basis Of Ratio Analysis (MOORA) method and system development using the waterfall model. In implementing and designing the program using the Hypertext Preprocessor (PHP) programming language with the database used MySQL. The final results obtained from this research are A8 on behalf of Rabiah with the highest rank with a value of 0.2913 and A2 on behalf of Artha with the lowest rank with a value of 0,1338.

Referensi

M. R. Wayahdi and F. Ruziq, “Implementasi Metode WASPAS pada Sistem Penerimaan Anggota Baru,” Jurnal Minfo Polgan, vol. 13, no. 1, pp. 164–171, Feb. 2024, doi: 10.33395/JMP.V13I1.13504.

R. Fadli, F. Ruziq, and C. Imam, “Implementation of Data Mining on Sales Data of Bambu Ungu Cafe to Find out Consumer Purchasing Patterns Using the Apriori Algorithm | Journal of Technology and Computer,” Journal of Technology and Computer, vol. 1, no. 2, pp. 26–33, May 2024, Accessed: Aug. 10, 2024. [Online]. Available: https://journal.technolabs.co.id/index.php/jotechcom/article/view/11

M. Anggraini, F. Ruziq, and R. N. Singarimbun, “Implementation of Data Mining to Predict the Eligibility Level for Prospective KPR (Home Ownership Credit) Subsidized Housing Customers Mitra Griya Indah Using the C4.5 Algorithm,” Journal of Technology and Computer, vol. 1, no. 2, pp. 20–25, May 2024, doi: 10.33395/JMP.V12I1.12743.

M. R. Wayahdi and F. Ruziq, “KNN and XGBoost Algorithms for Lung Cancer Prediction,” Journal of Science Technology (JoSTec), vol. 4, no. 1, pp. 179–186, Dec. 2022, doi: 10.55299/JOSTEC.V4I1.251.

I. Syahputra, F. Ruziq, and A. Rambe, “Decision Support System for Determining the Best Employee with Web-Based AHP Method at Pariwisata Polytechnic | Journal of Technology and Computer,” Journal of Technology and Computer, vol. 1, no. 2, pp. 12–19, May 2024, Accessed: Aug. 10, 2024. [Online]. Available: https://journal.technolabs.co.id/index.php/jotechcom/article/view/9

F. Ruziq, M. R. Wayahdi, “Sistem Pendukung Keputusan Seleksi Karyawan Baru dengan Simple Additive Weighting pada PT. Technology Laboratories Indonesia,” Jurnal Minfo Polgan, vol. 11, no. 2, pp. 153–159, Aug. 2022, doi: 10.33395/JMP.V11I2.13506.

S. Chaeruddin, I. Sukarsih, and R. Respitawulan, “Pemilihan Marketplace Di Masa Pandemi Covid-19 Menggunakan Metode MOORA,” CESS (Journal of Computer Engineering, System and Science), vol. 6, no. 2, pp. 149–154, Jul. 2021, doi: 10.24114/CESS.V6I2.22511.

M. Mesran, S. D. A. Pardede, A. Harahap, and A. P. U. Siahaan, “Sistem Pendukung Keputusan Pemilihan Peserta Jaminan Kesehatan Masyarakat (Jamkesmas) Menerapkan Metode MOORA,” JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 2, no. 2, Apr. 2018, doi: 10.30865/MIB.V2I2.595.

M. R. Wayahdi and F. Ruziq, “Pemodelan Sistem Penerimaan Anggota Baru dengan Unified Modeling Language (UML) (Studi Kasus: Programmer Association of Battuta),” Jurnal Minfo Polgan, vol. 12, no. 1, pp. 1514–1521, Aug. 2023, doi: 10.33395/JMP.V12I1.12870.

Diterbitkan

2014-08-06

Cara Mengutip

Qawakib, C. A., Wahyuni, D., & Imam, C. (2014). Decision Support System for Determining Employee Leave Using the Moora Method Case Study of the Central Bureau of Statistics of Medan City. Journal of Technology and Computer, 1(3), 35-44. https://journal.technolabs.co.id/index.php/jotechcom/article/view/19