Penerapan Metode Rough Set Dalam Memprediksi Penjualan Pada PT. Jaya Framex Bengkulu

Fitri Amelia Sari Lubis(1*), Siti Sahara Lubis(2), Riris Agustin(3), Deti Karmanita(4), Sarjon Defit(5),

(1) Universitas Putra Indonesia “YPTK” Padang, Indonesia
(2) Universitas Putra Indonesia “YPTK” Padang, Indonesia
(3) Universitas Putra Indonesia “YPTK” Padang, Indonesia
(4) Universitas Putra Indonesia “YPTK” Padang, Indonesia
(5) Universitas Putra Indonesia “YPTK” Padang, Indonesia
(*) Corresponding Author

Abstract


So far, in predicting sales at PT. Jaya Framex Bengkulu, only relies on manual calculations. There are no calculations that use a system to help predict sales at PT. Jaya Framex Bengkulu in the future. As more and more entrepreneurs emerge, it requires entrepreneurs to plan sales strategies. So that what is produced does not decrease further, and is not less competitive with other entrepreneurs, to avoid this, it is necessary to have sales predictions to predict sales so that you can plan future sales strategies. Based on the research conducted, the author can draw the conclusion that predicting the number of food products using Data Mining is very helpful in processing data that has been classified such as product supply, product type and capabilities so that it produces rules that support a decision which can later be used as support for sales prediction decisions. to be more optimal. From 13 sample data of the Data Mining sales process using the rough set method, 5 Reducts were produced which were extracted into knowledge of 11 Generate Rules, thereby producing a decision that was conveyed from the resulting rules. The results of this research can be used by developers to predict future sales. It is hoped that adding new variables can produce more varied decisions and more useful knowledge as decision support

Full Text:

PDF

References


Y. M. Kristania And S. Listanto, “Implementasi Data Mining Terhadap Data Penjualan Dengan Algoritma Apriori Pada Pt. Duta Kencana Swaguna,” J. Teknoinfo, Vol. 16, No. 2, P. 364, 2022, Doi: 10.33365/Jti.V16i2.1973.

M. S. Hartawan, M. Erkamim, And S. R. Yahya, “Application Of Supervised Learning Algorithm For Classification Of Family Hope Program Penerapan Algoritma Supervised Learning Untuk Klasifikasi Program Keluarga Harapan,” Vol. 3, No. October, Pp. 83–91, 2023.

D. Halimah, M. Ridwan, L. Stikom, T. Bangsa, And W. Saputra, “Algoritma C4.5 Untuk Menentukan Klasifikasi Tingkat Pemahaman Mahasiswa Pada Matakuliah Bahasa Pemrograman,” J. Tek. Mesin, Ind. Elektro Dan Inform., Vol. 1, No. 3, 2022.

I. Zuhdi, “Data Mining Menggunakan Metode Rough Set Dalam Memprediksi Tingkat Penjualan Peralatan Komputer,” J. Inform. Ekon. Bisnis, Vol. 4, Pp. 142–147, 2022, Doi: 10.37034/Infeb.V4i4.159.

M. Arif Rahman, “Penerapan Metode Rough Set Dalam Memprediksi Penjualan Perumahan (Studi Kasus Di Pt. Anugerah Pasadena Pekanbaru),” Fak. Tek. Ilmu Komput., Vol. 14, No. 2, Pp. 324–355, 2020.

S. Lestari, “Analisis Tingkat Kepuasan Pelanggan Dalam Membeli Peralatan Kue Dengan Menggunakan Metode Rough Set Pada Pt. Xyz,” Insologi J. Sains Dan Teknol., Vol. 1, No. 3, Pp. 300–312, 2022, Doi: 10.55123/Insologi.V1i3.563.

V. R. Prasetyo, H. Lazuardi, A. A. Mulyono, And C. Lauw, “Penerapan Aplikasi Rapidminer Untuk Prediksi Nilai Tukar Rupiah Terhadap Us Dollar Dengan Metode Linear Regression,” J. Nas. Teknol. Dan Sist. Inf., Vol. 7, No. 1, Pp. 8–17, 2021, Doi: 10.25077/Teknosi.V7i1.2021.8-17.

H. Hijrah, “Analisis Perbandingan Aplikasi Data Mining Dalam Memprediksi Kualitas Kinerja Karyawan Menggunakan Metode Algoritma C4.5,” Jatisi (Jurnal Tek. Inform. Dan Sist. Informasi), Vol. 9, No. 2, Pp. 1655–1665, 2022, Doi: 10.35957/Jatisi.V9i2.1992.




DOI: http://dx.doi.org/10.30645/jurasik.v9i1.758

DOI (PDF): http://dx.doi.org/10.30645/jurasik.v9i1.758.g733

Refbacks

  • There are currently no refbacks.



JURASIK (Jurnal Riset Sistem Informasi dan Teknik Informatika)
Published Papers Indexed/Abstracted By:

Jumlah Kunjungan : View My Stats