ABSTRACT
Ratna Dewi Rahmawati (19172774) Analysis of the Sales Pattern of Nutmeg Juice Using the Apriori Algorithm in the Bonty Nutmeg Juice Home Industry
In the business world, especially in the sale of Bonty Nutmeg Juice as a Home Industry company whose competitors are getting tougher day by day, it demands that the developers of the nutmeg syrup business must determine a strategy to increase sales of nutmeg syrup, One of them is by always providing several types of drinks from nutmeg that consumers need. Consumers will cancel buying or move to another place if the nutmeg juice drinks run out of stock, of course this can reduce sales levels. Data mining is at the core of the KKD process, including guesswork algorithms that explore data, build models and find patterns. The Apriori algorithm is one of the classical data mining algorithms, the Apriori algorithm is widely used in transaction data or commonly called the market basket. By looking for patterns of purchasing tendencies of nutmeg juice at Sari Fruit Nutmeg Bonty, it will get information about what products are purchased a lot and which are often purchased simultaneously by consumers. In this study, the minimum support = 0.1 and the minimum confidence = 0.6 will be used. In the final stage, the results obtained are 10 association rules with a combination of 2 itemsets and 3 itemsets. These regulations are expected to develop marketing strategies, regulate the stock of nutmeg juice so that there is no buildup or product emptiness and arrange the layout of the storage of products that are often purchased simultaneously to facilitate the sale of nutmeg juice.
Lembar Persembahan
Lembar Pernyataan Persetujuan Publikasi
Kata Pengantar
Daftar Pustaka
Lembar Persetujuan dan Pengesahan
Lembar Konsultasi
Lembar Pernyataan Keaslian Skripsi
Lembar Pedoman Penggunaan Hak Cipta
(Erwansyah, 2019)Darmawan, A., & Kristiana, T. (2019). Analisis Pola Penjualan Dengan Menggunakan Algoritma Apriori Pada Koperasi Karyawan Yayasan Anakku. Jurnal Riset Informatika, 2(1), 31–36. https://doi.org/10.34288/jri.v2i1.68
Erwansyah, K. (2019). Implementasi Data Mining Untuk Menganalisa Hubungan Data Penjualan Produk Bahan Kimia Terhadap Persedian Stok Barang Menggunakan Algoritma FP ( Frequent Pattern ) Growth Pada PT . Grand Multi Chemicals. Jurnal Teknologi Sistem Informasi Dan Sistem Komputer TGD (J-SISKO TECH), 2(2), 30–40.
Kusumo, D. S., Bijaksana, M. A., & Darmantoro, D. (2016). Data Mining Dengan Algoritma Apriori Pada Rdbms Oracle. TEKTRIKA - Jurnal Penelitian Dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, Dan Elektronika, 8(1), 1–5. https://doi.org/10.25124/tektrika.v8i1.215
Santoso, H. (2017). Data Mining Penyusunan Buku Perpustakaan Daerah Lombok Barat Menggunakan Algoritma Apriori. Seminar Nasional TIK Dan Ilmu Sosial (SocioTech), 25–35.
Srikanti, E., Yansi, R. F., Norhavina, Permana, I., & Salisah, F. N. (2018). Penerapan Algoritma Apriori untuk Mencari Aturan Asosiasi pada Data Peminjaman Buku di Perpustakaan. Jurnal Ilmiah Rekayasa Dan Manajemen Sistem Informasi, 4(1), 77–80.
Yanto, R., & Kesuma, H. Di. (2017). Pemanfaatan Data Mining Untuk Penempatan Buku Di Perpustakaan Menggunakan Metode Association Rule. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 4(1), 1–10. https://doi.org/10.35957/jatisi.v4i1.83