Transformation of Basketball Academy Athlete Performance Evaluation Using Information Technology and the Weighted Product Method

Authors

  • Pahrizal Universitas Bhayangkara Jakarta Raya
  • R Wisnu Prio Pamungkas
  • Fried Sinlae

DOI:

https://doi.org/10.69916/jkbti.v5i3.562

Keywords:

Weighted Product, Performance Evaluation, Basketball, Web-Based System, Decision Support System

Abstract

Performance evaluation of basketball athletes at academies in Indonesia still largely relies on manual, subjective, and unintegrated assessment processes, leading to inconsistencies between evaluation periods. This study aims to design and develop a web-based information system for athlete performance evaluation at Bendella Basketball Court, Bekasi, using the Weighted Product (WP) algorithm. The system was developed following the Waterfall Software Development Life Cycle (SDLC) methodology, covering requirements analysis, system design, implementation with the Laravel framework, and testing. Eight evaluation criteria were established: shooting (20%), dribbling (15%), defense (15%), passing (10%), speed (10%), stamina (10%), discipline (10%), and teamwork (10%). The WP algorithm computes vector S and preference value V for each athlete, followed by threshold-based categorization into Junior Advance and Junior Basic categories. Testing on five sample athletes demonstrates that the system correctly ranks and categorizes athletes objectively. The Weighted Product method provides greater stability compared to Simple Additive Weighting (SAW) with a sensitivity change of only 0.01% versus 0.38%. This system supports coaches in making more accurate, consistent, and data-driven athlete evaluation decisions.

Downloads

Download data is not yet available.

References

P. A. Djajasentana and A. Wicaksono, “Analisis Performa Tim Juara dan Runner-Up pada Final DBL

Jakarta 2025: Kajian Statistik Pertandingan,” KEJAORA, vol. 11, no. 1, pp. 47–54, Apr. 2026, doi:

36526/kejaora.v11i1.7734.

A. Supriyanto et al., “Evaluation of Woodball Achievement Coaching Management,” 2023.

K. Wati and H. Setyawati, “Evaluasi Prestasi Atlet Gulat Pelatda Provinsi Jawa Tengah,” 2023.

B. Schittkowski, A. Woll, and I. Wagner, “Multidimensionale Herausforderungen und Strategien der

Leistungsbewertung im Sportunterricht: eine qualitative Analyse,” Ger J Exerc Sport Res, vol. 55, no. 4,

pp. 555–565, Dec. 2025, doi: 10.1007/s12662-024-01004-x.

A. N. Utami, S. -, and A. Kardianawati, “Sistem Informasi Pendaftaran Sambungan Baru Perumda Air

Minum Tirta Bening Kabupaten Pati,” Journal of Information System, vol. 7, no. 1, pp. 66–78, May 2022,

doi: 10.33633/joins.v7i1.5365.

D. N. Utami, E. D. Latersia, N. H. Tri Amisri, and R. S. Lubis, “Sistem Pendukung Keputusan Analisa Kinerja Instruktur (Honorer) Balai Besar Pelatihan Vokasi Dan Produktivitas (BBPVP) Medan Dengan Metode

Weighted Product (WP),” japamas, vol. 4, no. 2, pp. 216–225, Dec. 2025, doi: 10.70340/japamas.v4i2.269.

F. Sinlae, “NEW EMPLOYEE SELECTION METHOD WEIGHTED PRODUCT AT PT. XYZ,” JURTEKSI,

vol. 9, no. 4, pp. 707–714, Sep. 2023, doi: 10.33330/jurteksi.v9i4.2599.

M. N. Ikhsanuddin, A. Srirahayu, and N. F. Muhammad, “IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TENAGA KESEHATAN TERBAIK MENGGUNAKAN METODE WEIGHTED

PRODUCT,” jtik, vol. 8, no. 4, pp. 1152–1159, Oct. 2024, doi: 10.35870/jtik.v8i4.2614.

D. R. Hidayati and K. Kustiyono, “Pengembangan Sistem Pendukung Keputusan Rekrutmen Karyawan

Terbaik Dengan Metode Weighted Product Di PT Morich Indo Fashion,” MEANS, pp. 15–19, Jun. 2024,

doi: 10.54367/means.v9i1.3713.

I. S. Pratama, R. Aunurachmani, N. R. Prastiwi, A. Wuryanto, and S. Hartini, “PERANCANGAN APLIKASI

PEMILIHAN KARYAWAN TERBAIK PADA HUMBLE HAIRSTUDIO DENGAN ALGORITMA WEIGHT

PRODUCT,” jik, vol. 13, no. 02, pp. 39–53, Oct. 2025, doi: 10.35959/jik.v13i02.754.

F. Yuyung Kusumaningrum, A. Bayu Saputra, A. Priyanto, and N. Fatimah, “Implementasi Penggunaan

Algoritma Weighted Product untuk Sistem Pendukung Keputusan Bantuan Lansia,” teknomatika, vol. 16,

no. 2, pp. 56–65, Dec. 2023, doi: 10.30989/teknomatika.v16i2.1249.

D. Afriadi, R. L. Gema, and T. A. Putra, “Pengembangan Sistem Pendukung Keputusan Berbasis Web

untuk Seleksi Peserta Olimpiade Jaringan Mikrotik dengan Metode Weighted Product,” Jurnal Pustaka

Data, vol. 5, no. 2, pp. 492–498, Dec. 2025, doi: 10.55382/jurnalpustakadata.v5i2.1529.

M. A. Pratama, R. Syarifuddin, and N. I. Burhanuddin, “Analisis Perbandingan Metode Weighted Product

Dan Simple Additive Weighting Pada Aplikasi Sistem Pendukung Keputusan Penerimaan Beasiswa PIP,”

jtek, vol. 5, no. 01, pp. 618–631, Jun. 2025, doi: 10.56923/jtek.v5i01.221.

A. Rismayadi and A. M. Syahid, “Differences in Technical Components for Each Playing Position in Basketball

Athletes,” Ind J. of Sports Tourism, vol. 5, no. 2, pp. 13–18, Dec. 2024, doi: 10.23887/ijst.v5i2.95812.

R. W. P. Pamungkas et al., “PENERAPAN WATERFALL DALAM MEMBANGUN SISTEM INFORMASI

PEMESANAN STUDIO UBHARA,” junsibi, vol. 6, no. 1, pp. 1–8, Apr. 2025, doi: 10.55122/junsibi.v6i1.1114.

M. F. Septokasya, “The Influence of Consumer Reviews on Purchasing Decisions on Shopee E-Commerce,

Indonesia,” International Journal Administration, Business & Organization, vol. 5, no. 3, pp. 118–128,

, doi: 10.61242/ijabo.24.362.

S. Kumar, R. Rani, S. K. Pippal, and R. Agrawal, “Customer segmentation in e-commerce: K-means vs

hierarchical clustering,” Telkomnika (Telecommunication Computing Electronics and Control), vol. 23, no. 1, pp. 119–128, 2025, doi: 10.12928/TELKOMNIKA.v23i1.26384.

B. Shen, “E-commerce Customer Segmentation via Unsupervised Machine Learning,” in CONFCDS 2021, 2021.

A. A. Rangkuti and H. Dafitri, “Unlocking Customer Behavior in COD-based E-commerce: An Unsupervised

Learning Approach Using Gaussian Mixture Model for Strategic Segmentation,” Journal of Computer and

Technology, vol. 4, no. 1, pp. 25–33, 2026.

A. N. Pramesti and R. F. Abdillah, “Dampak Rating dan Ulasan Konsumen terhadap Keputusan Pembelian

di E-Commerce,” in Prosiding Seminar Nasional Amikom Surakarta, 2024, pp. 1480–1494.

Downloads

Published

2026-09-01

PlumX Metrics

Scite Metrics

Altmetric

How to Cite

[1]
Pahrizal, R Wisnu Prio Pamungkas, and Fried Sinlae, “Transformation of Basketball Academy Athlete Performance Evaluation Using Information Technology and the Weighted Product Method”, JKBTI, vol. 5, no. 3, pp. 512–525, Sep. 2026.

Most read articles by the same author(s)