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All Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Wikrama Parahita : Jurnal Pengabdian Masyarakat JURNAL ILMIAH INFORMATIKA Journal Information System Development MATAPPA: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika UNIKA Santo Thomas Computer Based Information System Journal Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Tekinkom (Teknik Informasi dan Komputer) MEANS (Media Informasi Analisa dan Sistem) Akrab Juara : Jurnal Ilmu-ilmu Sosial Innovation in Research of Informatics (INNOVATICS) Ar-Rasyid: Jurnal Pendidikan Agama Islam Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Puan Indonesia Jurnal Sains Informatika Terapan (JSIT) Engineering and Technology International Journal (EATIJ) Jurnal PADI (Pengabdian mAsyarakat Dosen Indonesia) Jurnal Desain dan Analisis Teknologi JURSIMA Jurnal Sistem Informasi dan Manajemen Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Simanjuntak, Pastima
Universitas Putera Batam
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Journal : Jurnal Sains Informatika Terapan (JSIT)

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Analisis Data Transaksi Penjualan Obat Menggunakan Algortima Apriori Pada Kimia Farma Batam Koko, Koko Handoko; Simanjuntak, Pastima; Elisa, Erlin
Jurnal Sains Informatika Terapan Vol. 4 No. 2 (2025): Jurnal Sains Informatika Terapan (Juni, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i2.555

Abstract

With the advancement of information technology, there are many opportunities for the business sector, including the pharmaceutical industry, to use data to make strategic decisions. The Apriori algorithm, which falls under the category of association rule mining data mining techniques, is one of the effective methods for extracting hidden information from sales transaction data. The purpose of this study is to see the drug purchasing patterns that occur at the Kimia Farma Batam Pharmacy using the Apriori algorithm to help improve sales strategies, stock management, and customer service. The data used in this study comes from the Kimia Farma Batam pharmacy management information system. This data is collected from drug sales transactions during a certain period. The analysis begins with a data pre-processing stage, which includes cleaning and transforming the data. Then, the Apriori algorithm is used to extract association patterns. The results of the Apriori algorithm analysis show that drug combinations such as Ibuprofen and Paracetamol, and Aspirin and Paracetamol are often purchased together. This information can be used for bundling strategies, shelf arrangement, and cross-selling at Kimia Farma Batam pharmacies. With this research, Kimia Farma Batam Pharmacy can gain competitive advantage and improve the quality of data-based decision making with the Apriori algorithm that understands consumer behavior.
Co-Authors Abimayu, Fajri Ade Novit Syahputra Alex Alfandianto Alfisyahri, Suciani Anggara, Kevin Asnawati Azwanti, Nurul brantaricke Cecep Sugianto Dalimunthe, Hery Fadly Daris Purba David Pranata Desrini Ningsih Dewa Kurniawan Nusantoro Dewi Kartika Sari Dicky Prayoga Elisa, Erlin Ellbert Hutabri, Ellbert Fajrin, Alfannisa Annurrullah Febry harlian hasibuan Ferdy Santoni Fernandes, Fadli Gulo, Michael Joakson Gultom, Mitha Serlina Handoko, Koko Handoko, Koko Hendra Suprapto Hendri Kremer Humairani, Ayunda Annisa Imam Asyarie Indra, Yanto Khairiyah, Riri Kho, Willy Kie, Kennard Koko, Koko Handoko Kurnia Cahyana, Muhammad Angga Liska sumarni Manurung, Sesi Susanti Marubah Siringo, Anggiat Maslan, Andi MAULI SIAGIAN Muhammat Rasid Ridho Nanito Nasruji, Nasruji Nurma Dhona Handayani Nurma Dhona Handayani Nurma Dhona Handayani, Nurma Pangaribuan, Hotma Pardede, Uly Prayoga, Dicky Prima, Elsa Adam Alvin Priska Napitu Realize, Realize Riri Khairiyah RONI Rosida V Nainggolan RR. Ella Evrita Hestiandari Sianturi, Apoan Toni Corline Sibarani, Sarina Sihombing, Joel Simatupang, Enjelina Siska Damayanti Sitohang, Sunarsan Sri Zetli Steffi Adam Suhaili Suharyanto, Cosmas Eko Suprapto, Hendra Suratman Syastra, Muhammad Taufik Tampubolon, Dumayanti Tarigan, Armando Muhsirada Teddy Santya Toni, Toni Veron Vernando Wasiman Wasiman Wasiman, Wasiman Yanto, Indra Yanto Yohanni Syahra Zara Tania Rahmadi Zetli, Sri Zetly, Sri