SISTEM INFORMASI PREDIKSI PENJUALAN ALAT TULIS KANTOR DENGAN METODE FP-GROWTH (STUDI KASUS TOKO KOPERASI SEKOLAH BINA MULIA)
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Abstract
The increase in sales transactions accompanied by the availability of goods sold is a reflection of the performance of a company's business (store). One of the business units in Bina Mulia School is a shop that sells a variety of office stationery equipment. Therefore, a computerized system is needed in order to solve all problems in the company and be able to ease the task of employees in analyzing and taking into account the inclusion and sale of office stationery for the future. So it is necessary to design a Data Mining Warehouse system for decision makers in determining policies quickly, efficiently, and effectively. One of the data mining warehouse methods is FP-Growth. The FP-Growth algorithm is used to determine which data sets appear most frequently in a data set. The method in frequent itemsset search using FP-Growth algorithm works very well in performing Frequent itemsset by generating rule from ATK sales data. In implementing the FP-Growth algorithm in the atk inventory prediction application can be seen from the number of items sold and to know the number of frequent itemset that occur. FP-Growth algorithm can be applied to support ATK sales strategy in Bina Mulia School Cooperative so that management can make decisions quickly.
Keywords : Sales, Precipitation, FP Growth, ATK
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Fatmawati. (2016). PERBANDINGAN ALGORITMA KLASIFIKASI DATA MININGMODEL C4.5 DAN NAIVE BAYES UNTUK PREDIKSI PENYAKIT DIABETES. Jurnal Techno Nusa Mandiri, 13 (1), 50-59. Retrieved from https://ejournal.nusamandiri.ac.id/index.php/techno/article/view/217
Fridayanthie, E.W., Mahdiati, T. (2016). RANCANG BANGUN SISTEM INFORMASI PERMINTAAN ATK BERBASIS INTRANET (STUDI KASUS: KEJAKSAAN NEGERI RANGKASBITUNG). JURNAL KHATULISTIWA INFORMATIKA, 4 (2), 126-138. doi:http://dx.doi.org/10.31294/jki.v4i2.1264
Khaerudin, M., Warta, J., Srisulistiowati, D. B. (2020). Manajemen Pengetahuan Salah Sebagai Satu Jalan Dalam Pengembangan Lembaga Pendidikan Unggul Pada Tk Bina Mulia Cibitung. Journal of Informatics and Information Security, 159-172. doi:https://doi.org/10.31599/jiforty.v1i2.390
Maulana, H. (2016). ANALISIS DAN PERANCANGAN SISTEM REPLIKASI DATABASE MYSQL DENGAN MENGGUNAKAN VMWARE PADA SISTEM OPERASI OPEN SOURCE. Jurnal Nasional Informatika dan Teknologi Jaringan, 1 (1), 32-37. doi:http://dx.doi.org/10.30743/infotekjar.v1i1.37
Meilani, B.D., Asadulloh, M. (2015). DATA MINING UNTUK MENGGALI POLA MAHASISWA BARU MENGGUNAKAN METODE FREQUENT PATTERN GROWTH (STUDI KASUS : INSTITUT TEKNOLOGI ADHI TAMA SURABAYA). Seminar Nasional Sains dan Teknologi Terapan III 2015 Institut Teknologi Adhi Tama Surabaya (pp. 269-276). Surabaya: Institut Teknologi Adhi Tama Surabaya. Retrieved from https://ejurnal.itats.ac.id/sntekpan/article/view/510
Mujiono, Musdholifah, A. (2016). Pengembangan Data Warehouse Menggunakan Pendekatan Data-Driven untuk Membantu Pengelolaan SDM. Indonesian Journal of Computing and Cybernetics Systems, 10 (1), 1-10. doi:https://doi.org/10.22146/ijccs.11184
Rahadiyan, A., Wardani, N., Rokhmawati, R. (2018). Analisis dan Perancangan Sistem Informasi Penjualan dan Persediaan Barang Pada Gudang Pada CV. KAJEYEFOOD. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 2 (6), 2334-2342. Retrieved from https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/1636
Rohmawati, F., Rohman, M.G., Mujilahwati, S. (2017). SISTEM PREDIKSI JUMLAH PENGUNJUNG WISATA WEGO KEC.SUGIO KAB.LAMONGAN MENGGUNAKAN METODE FUZZY TIME SERIES. Journal Of Informatic Unisla, 3 (2), 67-74. doi:https://doi.org/10.30736/jti.v2i2.66
Suhada, S., Ratag, D., Gunawan, Wintana, D., Hidayatulloh, T. (2020). Penerapan Algoritma FP-Growth Untuk Menentukan Pola Pembelian Konsumen Pada AHASS Cibadak. JURNAL SWABUMI, 8 (2), 118-126. doi:https://doi.org/10.31294/swabumi.v8i2.8077
Susanti, M., Jefi. (2018). Prediksi Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap Menggunakan. Jurnal Bianglala Informatika, 6 (1), 73-79. doi:https://doi.org/10.31294/bi.v6i1.5909.g3297
Widiati, E., Dewi, K.E. (2014). IMPLEMENTASI ASSOCIATION RULE TERHADAP PENYUSUNAN LAYOUT MAKANAN DAN PENENTUAN PAKET MAKANAN HEMAT DI RM ROSO ECHO DENGAN ALGORITMA APRIORI. Jurnal Ilmiah Komputer dan Informatika, 3 (2), 96-101. Retrieved from http://komputa.if.unikom.ac.id/jurnal/implementasi-association-rule.1p
Wijaya, H.D., Dwiasnati, S. (2020). Implementasi Data Mining dengan Algoritma Naïve Bayes. JURNAL INFORMATIKA, 7 (1), 1-7. doi:DOI: https://doi.org/10.31294/ji.v7i1.6203
DOI: https://doi.org/10.35968/jsi.v8i2.739
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