Analysis of Drug Sales Patterns in the Belawan Naval Hospital Pharmacy Using Apriori Algorithm

Mhd Raja Doly Bahari; Rakhmat Kurniawan

doi:10.47709/cnahpc.v6i4.4805

Authors

Mhd Raja Doly Bahari Universitas Islam Sumatera Utara
Rakhmat Kurniawan State Islamic University of North Sumatra

DOI:

10.47709/cnahpc.v6i4.4805

Keywords:

Apriori algorithm, Drugs, Data Mining, Pharmacy, Logistic Regression

Dimension Badge Record

Abstract

Hospital pharmacy plays an important role in ensuring drug availability and effective stock management. With the increasing number of drug redemptions, manual data management becomes inefficient and can lead to understocking or overstocking. Therefore, a method is needed that is able to automatically analyze drug sales patterns to improve stock management efficiency. One approach that can be used is the Apriori algorithm, an effective data mining technique for finding patterns in drug redemptions. This study aims to analyze drug redemption patterns at the Belawan Navy Hospital Pharmacy using the Apriori algorithm. The data used is drug redemption data. The Apriori algorithm is applied to find relationships between drug items that are often purchased together, so that it can provide useful insights in drug stock management. The results of the study showed that the Apriori algorithm successfully identified several significant drug redemption patterns. These patterns can be used to improve the efficiency of drug stock management and ensure timely drug availability, as well as reduce the risk of understocking or overstocking. The results of the study used logistic regression to predict discrete (binary) values from a column based on values from other columns and the accuracy obtained was 1.0 or 100%. This study concludes that the application of data mining with the Apriori algorithm can provide significant benefits in optimizing the management of drug stock redemption in hospital pharmacies.

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References

Aisyah, Siti, Anita Sembiring C., Delima Sitanggang, and Robert. 2023. Association Books. Medan: UNPRI PRESS.

Alfian Ma'arif. 2020. PHYTON BOOK.

Darmawan, Irwan Adji, Muhammad Fakhri Randy, Imam Yunianto, Muhamad Malik Mutoffar, and M. Tio Putra Salis. 2022. "THE APPLICATION OF DATA MINING USING A PRIORI ALGORITHM TO DETERMINE THE PATTERN OF PEOPLE WITH SOCIAL WELFARE PROBLEMS." Sebatik 26(1):223–30. doi: 10.46984/sebatik.v26i1.1622.

Dongga, Jubita, Ana '. Sarungallo, Novalin Koru, and Gabriella Lante. 2023. "Implementation of Data Mining Using a Priori Algorithm in Determining the Inventory of Goods (Case Study: Toko Swapen Jaya Manokwari)." G-Tech: Journal of Applied Technology 7(1):119–26. doi: 10.33379/gtech.v7i1.1938.

Gede, I., Iwan Sudipa, Mahendra Darmawiguna, Wibawa Rahayu Prastyadi, Suryani, and Arie Surachman. 2024. DATA MINING TEXTBOOK. Jambi.

Komariyah, Siti, Saeful Anwar, and Bani Nurhakim. 2023. "Implementation of FP-Growth Data Mining for Analysis of Purchase Patterns in Sales Transactions." Journal of Management and Business Economics 1(2):62–75. doi: 10.54066/jmbe-itb.v1i2.128.

Maharani, Windi, and Raissa Amanda Putri. 2024. "Determining Sales Patterns of Beauty Products Using the Apriori Algorithm in Data Mining." PIXEL : Embedded Systems and Logic Computer Science Research 12(1):161–72. doi: 10.33558/pixel.v12i1.9308.

Mukti Wibowo, Tri, and Cut Maisyarah Karyati. 2021. IMPLEMENTATION OF DATA MINING USING A PRIORI ALGORITHM ON PRODUCT SALES TRANSACTIONS (Case Study of Kanaya Rooftop Garden Store).

Panjaitan, Seida, Dwi Andini Putri, and Dinda Ayu Muthia. 2020. "Implementation of Data Mining on Transaction Data of Lozitech Utama Stores Using a Priori Algorithm." IJCCS x, No.x:1–5.

Prasetya, Tio, Julia Eka Yanti, Ade Irma Purnamasari, Arif Rinaldi Dikananda, and Saeful Anwar. 2021. "Analysis of Transaction Data on Consumer Purchase Patterns Using a Priori Algorithm Method." INFORMATICS FOR EDUCATORS AND PROFESSIONALS 6(1):43–52.

Rozi Kesuma Dinata, and Novia Hasdyna. 2020. Machine Learning Textbook. edited by S. S. . M. S. Dr. Fajriana. Lhokseumawe: UNIMAL PRESS.

Sapitri, Anggreani, Nur Elisya, Nirwan Maulana Mustafa, and Mohammad Badrul. 2022. "Application of Data Mining Using a A Priori Algorithm for Customer Interest Analysis from Sales Data History." Nusa Mandiri University Jl. Jatiwaringin 7(1):28534471.

Saputra, Ramadani, and Alexander J. P. Sibarani. 2020. Implementation of Data Mining Using a Priori Algorithm to Improve Drug Sales Patterns. Vol. 7.

Soma Darmawan, Arief. 2019. A PRIORI ALGORITHM FOR PRODUCT OFFERING RECOMMENDATIONS IN BATIK PUTRA GHOFUR PEKALONGAN. Vol. 8.

Sulianta, Feri, Lestari Budi, and Puspito Sari. 2024. "Association Rules Using the Apriori Algorithm as a Foundation for Creating Sales Strategies in Online Retail Stores." 12(1):30–36. doi: 10.26418/justin.v12i1.68488.

Turukay, Yodhy Yabes Yulezar, Richard William Osok, Julian Eugenio Boli, and Sirlis Moses Tanatty. 2023. "Implementation of a Priori Algorithm to Improve the Sales Pattern of Goods (Case Study: DEPO TEGUH Store)." G-Tech: Journal of Applied Technology 7(2):450–55. doi: 10.33379/gtech.v7i2.2007.