Klasifikasi Rasa Susu Almond Berdasarkan Minat Pelanggan Menggunakan Algoritma C4.5 di Home Made MamiNia Ice Pematangsiantar

Authors

  • Febriani STIKOM Tunas Bangsa
  • Indra Gunawan STIKOM Tunas Bangsa
  • Rafiqa Dewi STIKOM Tunas Bangsa
  • Dedy Hartama STIKOM Tunas Bangsa
  • Muhammad Ridwan Lubis STIKOM Tunas Bangsa

DOI:

https://doi.org/10.54259/satesi.v1i2.33

Keywords:

Almond Milk, Data Mining, Algorithm C4.5

Abstract

Almond milk is a plant-based milk drink made from almonds. Almond juice has a paler color and a thicker texture than regular milk. As for the benefits of almond milk in the world of health, namely to increase breast milk production, prevent high blood pressure, strengthen immunity, protect bone health, maintain baby's heart health, prevent free radicals, facilitate digestion, make skin bright after childbirth. Data mining is part of the Knowledge Discovery in Database (KDD) process stage. Therefore, the authors provide a classification solution in Data Mining is done using the Algorithm C4.5. With the Algorithm C4.5 you will get a Decision Tree that is easy to understand and easy to understand. Thus, it can help the owner determine the almond milk production plan that is most in demand and without worrying about excess goods or shortages of ingredients.

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References

Y. iqbal maulana and Hendri, “Memprediksi Minat Pelanggan Membeli Produk Sepatu Menggunakan Metode Decision Tree Pada PT. Zoelindo Elite Anugerah,” Sentra Penelit. Eng. dan Edukasi, vol. 10, no. 4, p. 70, 2018.

A. Muzakir and R. A. Wulandari, “Model Data Mining sebagai Prediksi Penyakit Hipertensi Kehamilan dengan Teknik Decision Tree,” Sci. J. Informatics, vol. 3, no. 1, pp. 19–26, 2016, doi: 10.15294/sji.v3i1.4610.

A. Asroni, B. Masajeng Respati, and S. Riyadi, “Penerapan Algoritma C4.5 untuk Klasifikasi Jenis Pekerjaan Alumni di Universitas Muhammadiyah Yogyakarta,” Semesta Tek., vol. 21, no. 2, pp. 158–165, 2018, doi: 10.18196/st.212222.

H. Hafizan and A. N. Putri, “Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun,” KESATRIA J. Penerapan Sist. Inf. (Komputer Manajemen), vol. 1, no. 2, pp. 68–72, 2020, doi: 10.30645/kesatria.v1i2.23.

Rismayanti, “Decision Tree Penentuan Masa Studi Mahasiswa Prodi Teknik Informatika (Studi Kasus: Fakultas Teknik dan Komputer Universitas Harapan Medan),” J. Sist. Inf., vol. 02, no. 01, pp. 16–24, 2018.

E. S. Pribadi, Poningsih, and H. S. Tambunan, “Analisa Tingkat Kepuasan Masyarakat Terhadap Pelayanan Pengadilan Agama Pematangsiantar Menggunakan Algoritma,” Penerapan Kecerdasan Buatan, vol. 2, no. 1, pp. 33–40, 2020.

L. Maulida, “PENERAPAN DATAMINING DALAM MENGELOMPOKKAN KUNJUNGAN WISATAWAN KE OBJEK WISATA UNGGULAN DI PROV . DKI JAKARTA DENGAN K-MEANS,” J. Inform. Sunan Kalijaga, vol. 2, no. 3, pp. 167–174, 2018.

W. Rumaenda, Yuciana Wilandari, and D. Safitri, “Perbandingan Klasifikasi Penyakit Hipertensi Menggunakan Regresi Logistik Biner Dan Algoritma C4.5 (Studi Kasus Upt Puskesmas Ponjong I, Gunungkidul),” Stud. Puskesmas, U P T, vol. 5, no. 2, pp. 299–309, 2016.

M. F. Arifin and D. Fitrianah, “Penerapan Algoritma Klasifikasi C4.5 dalam Rekomendasi Penerimaan Mitra Penjualan Studi Kasus : PT Atria Artha Persada,” J. Telekomun. dan Komput., vol. 8, no. 2, pp. 88–102, 2018, doi: 10.22441/incomtech.v8i1.2198.

L. N. Rani, “Klasifikasi Nasabah Menggunakan Algoritma C4 . 5 Sebagai Dasar Pemberian Kredit,” J. INOVTEK POLBENG, vol. 1, no. 2, pp. 127–132, 2016, doi: 10.35314/isi.v1i2.131.

Jamaludin Jamaludin and Romindo Romindo, "Implementation of Combination Vigenere Cipher and RSA in Hybrid Cryptosystem for Text Security," International Journal of Information System & Technology, vol. IV, no. 1, pp. 471-481, November 2020.

Buana, U., & Karawang, P. (2019). TechnoXplore Jurnal Ilmu Komputer & Teknologi Informasi ISSN : 2503-054X Vol 4 No: 1, April 2019. 4(1), 46–55.

Fay, D. L. (1967). Pengantar Data Mining. Angewandte Chemie International Edition, 6(11), 951–952.

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Published

2021-10-19

How to Cite

Febriani, Indra Gunawan, Rafiqa Dewi, Dedy Hartama, & Muhammad Ridwan Lubis. (2021). Klasifikasi Rasa Susu Almond Berdasarkan Minat Pelanggan Menggunakan Algoritma C4.5 di Home Made MamiNia Ice Pematangsiantar. SATESI: Jurnal Sains Teknologi Dan Sistem Informasi, 1(2), 71–74. https://doi.org/10.54259/satesi.v1i2.33

Issue

Vol. 1 No. 2 (2021): Oktober 2021

Section

Articles

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Copyright (c) 2021 Febriani, Indra Gunawan, Rafiqa Dewi, Dedy Hartama, Muhammad Ridwan Lubis

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