Implementasi Algoritma Apriori Untuk Mencari Relasi Pada Transaksi Pembelian Alat-Alat Kesehatan

 (*)Berta Rohana Br Purba Mail (STMIK Budi Darma Jln. Sisingamangaraja No. 338, Indonesia)
 Nelly Astuti Hasibuan (STMIK Budi Darma Jln. Sisingamangaraja No. 338, —)
 Guidio L Ginting (STMIK Budi Darma Jln. Sisingamangaraja No. 338, —)
 Suginam Suginam (STMIK Budi Darma Jln. Sisingamangaraja No. 338, —)

(*) Corresponding Author

Abstract

Implementation of data mining in the supply of health equipment that affects the quality of hospital services, excessive inventory will pose some risks, such as theft or enormous storage costs because it requires the accurate recording to address the supply of medical devices. A priori algorithm is a data gathering with association rule to determine the associative relation of an item through the mechanism of calculating the support and confidence of an item relation, the apriori algorithm is suitable to be applied when some items of one item relationship in the health field are analyzed and analyzed and the determination of the purchase health equipment.

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References

S.Kom & Andri Kusrini, Tuntunan Praktis Membangun Sistem Informasi Akuntasi Dengan Visual Basic dan Microsoft SQL Server , Sigit Suyontoro, Ed. Yogyakarta: C.V Andi Offset, 2007.

Kusrini & Emha Taufiq Lutvi, Algoritma Data Mining, Theresian Ari Prabowanti, Ed. Yogyakarta: C.V Andi OFFSET, 2009.

hoga saragih, bobby reza kennedi tampubolon, Implementasi Data Mining Algoritma Apriori Pada Sistem Persediaan Alat-Alat Kesehatan, Informasi dan Teknologi Ilmiah (INTI), vol. 1, oktober 2013.

Finn Lee S & Juan Santana, Data Mining : Meramalkan Bisnis Perusahaan. Jakarta: PT Elex Media Komputindo, 2010.

Riri Khoiriah Robi Yanto, Implementasi Data Minning Metode algoritma apriori dalam menentukan pola pembelian obat, Citec Journal, vol. 2, februari-april 2015.

SE , Akt, M.B.A Indra Bastian, Akuntansi Pendidikan, SE Suryadi & Yati Sumihuri, Ed. Yogyakarta: PT. Gelora Angkasa Pratama, 2006.

Dr.Richardus Eko Indrajit, Proses Bisnis Outsourcing.: Grasindo, 2003.

Ronald Adrian Asroni, Penerapan metode k-means untuk clustering mahasiswa berdasarkan nilai akademik dengan weka interface , Junral ilmiah senesta teknika, vol. 18, mei 2015.

E. Buulolo, N. Silalahi, Fadlina, and R. Rahim, “C4.5 Algorithm To Predict the Impact of the Earthquake,” Int. J. Eng. Res. Technol., vol. 6, no. 2, 2017.

H. Widayu, S. D. Nasution, N. Silalahi, and M. Mesran, “DATA MINING UNTUK MEMPREDIKSI JENIS TRANSAKSI NASABAH PADA KOPERASI SIMPAN PINJAM DENGAN ALGORITMA C4.5,” MEDIA Inform. BUDIDARMA, vol. 1, no. 2, Jun. 2017.

E. Buulolo, “ALGORITMA APRIORI PADA DATA PENJUALAN DI SUPERMARKET,” in Seminar Nasional Inovasi dan Teknologi Informasi 2015 (SNITI), 2015, no. September 2015, pp. 4–7.

J. Simarmata, Pengenalan Teknologi Komputer dan Informasi. Yogyakarta: Andi, 2006.

M. Maharani et al., “IMPLEMENTASI DATA MINING UNTUK PENGATURAN LAYOUT MINIMARKET DENGAN MENERAPKAN ASSOCIATION RULE,” J. Ris. Komput., vol. 4, no. 4, pp. 6–11, 2017.

J. Simarmata, Rekayasa Perangkat Lunak. Yogyakarta: Andi, 2010.

F. T. Waruwu, E. Buulolo, and E. Ndruru, “IMPLEMENTASI ALGORITMA APRIORI PADA ANALISA POLA DATA PENYAKIT MANUSIA YANG DISEBABKAN OLEH ROKOK,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. I, no. 1, pp. 176–182, 2017.

E. Buulolo, “Implementasi Algoritma Apriori Pada Sistem Persediaan Obat ( Studi Kasus : Apotik Rumah Sakit Estomihi Medan ),” Pelita Inform. Budi Dharma, vol. 4, no. Agustus 2013, pp. 71–83, 2013.

W. Fitriani and A. P. U. Siahaan, “Comparison Between WEKA and Salford System in Data Mining Software,” Int. J. Mob. Comput. Appl., vol. 3, no. 4, pp. 1–4, 2016.

Y. A. Fiandra, S. Defit, and Yuhandri, “Penerapan Algoritma C4.5 untuk Klasifikasi Data Rekam Medis berdasarkan International Classification Diseases (ICD-10),” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 1, no. 2, pp. 82–89, 2017.

L. Marlina, M. Muslim, and A. P. U. Siahaan, “Data Mining Classification Comparison ( Naïve Bayes and C4 . 5 Algorithms ),” Int. J. Eng. Trends Technol., vol. 38, no. 7, pp. 380–383, 2016.

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