BibTex Citation Data :
@article{JMASIF31479, author = {Zakial Fuady and Priyo Sasongko}, title = {Aplikasi Data Mining Menggunakan Algoritma Apriori Untuk Analisis Pola Penjualan (Studi Kasus: Apotek Keluargku Semarang)}, journal = {Jurnal Masyarakat Informatika}, volume = {9}, number = {1}, year = {2018}, keywords = {}, abstract = {Data mining merupakan proses analisa kumpulan data untuk memperoleh pengetahuan yang berguna. Pengaplikasian data mining sudah menjadi sesuatu yang umum di masyarakat terutama untuk menunjang aktivitas bisnis dan relasi. Bagi perusahaan yang bergerak di bidang bisnis dan perdagangan seperti apotek, data cenderung banyak setiap harinya. Jumlah data transaksi penjualan yang semakin besar tersebut jika tidak dimanfaatkan sebaik mungkin maka hanya menjadi data yang tersimpan di gudang data saja sehingga menjadi tidak efektif. Oleh karena itu diperlukan sebuah aplikasi yang dapat mengolah kumpulan data dalam jumlah besar agar dapat memberikan pengetahuan yang berguna bagi pengguna. Aplikasi Data Mining dengan menggunakan algoritma apriori mempermudah dalam manajemen pengolahan data sekaligus digunakan untuk menganalisis kumpulan data transaksi yang terdapat dalam database. Sistem dapat mengolah data perhitungan analisa pada bulan dan tahun tertentu kemudian menampilkan hasil analisis berupa pola penjualan obat. Hasil analisis diperoleh setelah sebelumnya kumpulan data tersebut diolah oleh sistem berdasarkan tingkat kepercayaan tertentu. Tingkat kepercayaan ditentukan melalui minimum support dan minimum confidence, sehingga dapat diketahui tingkat keterkaitan produk yang telah terjual yang dapat membantu pengguna dalam mengambil keputusan.}, issn = {2777-0648}, pages = {34--39} doi = {10.14710/jmasif.9.1.31479}, url = {https://ejournal.undip.ac.id/index.php/jmasif/article/view/31479} }
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