Decision Support System for Determining the Best Employee with Web-Based AHP Method at Pariwisata Polytechnic

Penulis

  • Ilham Syahputra Universitas Battuta Penulis
  • Fahmi Ruziq Universitas Battuta Penulis
  • Aripin Rambe Universitas Battuta Penulis

Kata Kunci:

AHP , Best employee, Decision Support Systems

Abstrak

A Decision Support System (DSS) for Best Employee Determination Selection using the Analytical Hierarchy Process (AHP) method is an essential tool for enhancing employee performance and motivation. The awards given by companies to their best employees serve as a powerful incentive, driving each employee to consistently deliver their best work. To determine the best employee, companies assess performance over a specific period, considering various criteria. At Medan Tourism Polytechnic, these criteria include work behavior, work discipline, honesty, loyalty, and cooperation. The AHP method structures the decision-making process into a hierarchical model, allowing for systematic evaluation of alternative choices against the set criteria. By assigning weights to each criterion, AHP quantifies subjective assessments, providing an objective basis for comparing employees. This method ensures transparency and fairness in the selection process, promoting a culture of excellence and motivation among employees. Implementing a DSS with the AHP method not only simplifies the evaluation process but also ensures that decisions are based on measurable performance indicators. This fosters an environment where employees are encouraged to continuously improve their performance, contributing to the overall productivity and success of the organization. This system is integral in maintaining high standards and employee satisfaction within the organization.

Referensi

F. Ruziq, M. Rhifky Wayahdi, P. Studi, S. Informasi, F. Teknologi, and U. Battuta, “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.

M. Rhifky Wayahdi, F. Ruziq, and M. R. Wayahdi, “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.

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.

E. Darmanto, N. Latifah, and N. Susanti, “PENERAPAN METODE AHP (ANALYTHIC HIERARCHY PROCESS) UNTUK MENENTUKAN KUALITAS GULA TUMBU,” Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, vol. 5, no. 1, pp. 75–82, Apr. 2014, doi: 10.24176/SIMET.V5I1.139.

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.

T. Setiady, D. Damiyana, and Y. Nurawan, “Sistem Penunjang Keputusan Penilaian Kinerja Karyawan dalam Pemilihan Karyawan Terbaik Berbasis Web di LP3I Jakarta,” JURNAL SISFOTEK GLOBAL, vol. 8, no. 1, Mar. 2018, doi: 10.38101/SISFOTEK.V8I1.176.

S. Suryadi et al., “Uji Sensitivitas Metode Pembobotan ROC, SWARA Terhadap Kriteria Karyawan Terbaik Dengan Menggunakan Metode SAW,” Journal of Information System Research (JOSH), vol. 3, no. 4, pp. 532–540, Jul. 2022, doi: 10.47065/JOSH.V3I4.1952.

M. Rhifky Wayahdi, F. Ruziq, S. Hafiz, and N. Ginting, “Pelatihan Menjadi Backend Developer Dengan Framework Laravel Pada Siswa Dan Siswi SMK Swasta Free Methodist Medan,” Jurnal Pengabdian Masyarakat Nusantara, vol. 6, no. 1, pp. 20–29, Mar. 2024, doi: 10.57214/PENGABMAS.V6I1.472.

M. R. Wayahdi, S. H. N. Ginting, and F. Ruziq, “Pelatihan Membangun Website Portofolio Menggunakan Bootstrap V5.3 Pada Siswa/I SMK Swasta Jambi Medan,” PRAXIS: Jurnal Pengabdian kepada Masyarakat, vol. 2, no. 1, pp. 86–94, Sep. 2023, doi: 10.47776/PRAXIS.V2I1.715.

Diterbitkan

2024-05-07

Cara Mengutip

Syahputra, I., Ruziq, F., & Rambe, A. (2024). Decision Support System for Determining the Best Employee with Web-Based AHP Method at Pariwisata Polytechnic. Journal of Technology and Computer, 1(2), 12-19. https://journal.technolabs.co.id/index.php/jotechcom/article/view/9