PENERAPAN METODE WASPAS DALAM MENENTUKAN PRODUK TERLARIS PADA APLIKASI SIMAP

Authors

  • Melati Hidayati Mei Rahayu Universitas Islam Balitar Author
  • Abdi Pandu Kusuma Universitas Islam Balitar Author
  • Udkhiati Mawaddah Universitas Islam Balitar Author

Keywords:

Produk Terlaris, ROC (Rank Order Centroid), SIMAP (Sistem Informasi Manajemen Apotek), Spearman Rank Correlation, WASPAS (Weighted Aggregated Sum Product Assesment)

Abstract

This research aims to complement the lack of features in the Reachusolutions company's SIMAP (Sistem Informasi Manajemen Apotek) application. The features needed are features to determine the best-selling products. Where the best-selling product features are created with the aim of helping or being a supporter when procuring the next stock of goods or being a supporter when carrying out promotions or campaigns for future products. In determining the best-selling product, several factors or criteria are needed, namely price, sales and sales returns. To solve this problem, in this research the researcher used the ROC (Rank Order Centroid) and WASPAS (Weighted Aggregated Sum Product Assessment) methods in the calculation process using 50 product data samples as alternative choices. The results of calculations from 50 alternatives using the WASPAS method give the result that the best-selling product is ALCOHOL SWAB ONEMED with the highest Qi preference value, namely 1. From the test results using Spearman rank correlation using the ranking results obtained from applying calculations using WASPAS and manual calculations, we get a correlation result of 0.961152 which shows that the relationship between the results of the two rankings is very strong.

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References

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Published

2024-08-01

How to Cite

[1]
Melati Hidayati Mei Rahayu, Abdi Pandu Kusuma, and Udkhiati Mawaddah, “PENERAPAN METODE WASPAS DALAM MENENTUKAN PRODUK TERLARIS PADA APLIKASI SIMAP”, neiit, vol. 1, no. 1, pp. 150–161, Aug. 2024, Accessed: Jul. 04, 2025. [Online]. Available: http://ojs.ft.uniska-kediri.ac.id/index.php/neiit/article/view/29

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