Implementasi Metode Holt-Winters dan FP-Growth dalam Melakukan Peramalan Stok Barang Pada Swalayan Berdasarkan Pola Asosiasi


  • Septi Kenia Pita Loka * Mail Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • M Afdal Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • Rice Novita Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • Mustakim Mustakim Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia
  • (*) Corresponding Author
Keywords: Association Rule; Data Mining; Forecasting; FP-Growth; Holt-Winters

Abstract

At present, competition in the business world is extremely fierce, particularly in the convenience store sector. The development of retail trade is progressing rapidly, accompanied by the emergence of many small markets and online shops. This situation encourages store owners to make wiser decisions, such as managing stock replenishment. If overlooked, this matter way hinder employees from locating the necessary items, thereby increasing the potential risk of goods expiring or being damage before they are sold. Therefore, store owners need to understand consumer behavior and shopping habits to assist iin stock management. Based on this issue, the research aims to analyze consumer purchasing patterns and optimize inventory stock. The result of this experiment identified two best rules, namely biscuit and consumption/food, with a confidence of 53,61%, a support of 15,57%, and a lift ratio of 1,116 the error measurement MAPE shows a value of 6,79 using alpha, beta and gamma values of 0,1. The total predicted stock in 52,086 with an actual value of 72,275, which is close to actual value of data prior to the significant observed in the last three months.

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References

F. Z. Ghassani, Asep Jamaludin, and Agung Susilo Yuda Irawan, “Market Basket Analysis Using the Fp-Growth Algorithm To Determine Cross-Selling,” J. Inform. Polinema, vol. 7, no. 4, pp. 49–54, 2022, doi: 10.33795/jip.v7i4.508.

M. Hossain, A. H. M. S. Sattar, and M. K. Paul, “Market basket analysis using apriori and FP growth algorithm,” 2019 22nd Int. Conf. Comput. Inf. Technol. ICCIT 2019, pp. 18–20, 2019, doi: 10.1109/ICCIT48885.2019.9038197.

B. Solihin Hasugian, “Penerapan Metode Association Rule Untuk Menganalisa Pola Pemakaian Bahan Kimia Di Laboratorium Menggunakan Algoritma FP-Growth (Studi Kasus di Laboratorium Kimia PT. PLN (Persero) Sektor Pembangkitan Belawan Medan),” Algoritm. J. Ilmu Komput. dan Inform., vol. 3, no. November, pp. 56–69, 2019, doi: 10.30829/algoritma.v3i2.6437.

A. K. Putra, R. Hamonangan, R. Herdiana, E. Tohidi, and U. Hayati, “Penerapan Algoritma FP Growth pada Penjualan Produk Distro Raden Madura,” MEANS (Media Inf. Anal. dan Sist., vol. 7, no. 1, pp. 57–64, 2022, doi: 10.54367/means.v7i1.1858.

A. Anas, “Penerapan Algoritma Fp-Growth Dalam Menentukan Perilaku Konsumen Ghania Mart Muara Bulian,” J. Ilm. Media Sisfo, vol. 14, no. 2, pp. 120–129, 2020, doi: 10.33998/mediasisfo.2020.14.2.879.

S. Tian, Y. Xiao, and S. Shen, “Distribution analysis of Pulmonary diseases in Traditional Chinese medicine based on FP-Growth algorithm,” Proc. - 2020 IEEE Int. Conf. Bioinforma. Biomed. BIBM 2020, pp. 1586–1589, 2020, doi: 10.1109/BIBM49941.2020.9313109.

L. Almaretha and D. Murni, “Penerapan Metode Holt Winters Exponential Smoothing dalam Prediksi Permintaan Emping pada Usaha Emping Jagung Rizqy,” J. Pendidik. Tambusai, vol. 8, no. 1, pp. 9239–9250, 2024, doi: 10.31004/jptam.v8i1.13796

D. M. B. Sitorus, T. Syaputra, and M. Hutasuhut, “Penerapan Data Mining Pola Penjualan Barang Pada Koperasi Dengan Menggunakan Metode Algoritma FP-Growth,” J. Sist. Inf. Tgd, vol. 3, no. 2, pp. 101–110, 2024, doi: 10.53513/jursi.v3i2.5791

S. Suhada, D. Ratag, G. Gunawan, D. Wintana, and T. Hidayatulloh, “Penerapan Algoritma Fp-Growth Untuk Menentukan Pola Pembelian Konsumen Pada Ahass Cibadak,” Swabumi, vol. 8, no. 2, pp. 118–126, 2020, doi: 10.31294/swabumi.v8i2.8077.

D. Widyati and M. Alda, “Implementasi Metode Triple Exponential Smoothing Untuk Memprediksi Persediaan Sparepart Forklift Dan Genset Berbasis Web,” J. Sci. Soc. Res., vol. 4307, no. 2, pp. 691–698, 2024, doi: 10.54314/jssr.v7i2.1824.

R. B. Saputro, K. P. Kartika, and W. D. Puspitasari, “Implementation of the Triple Exponential Smoothing Method for Predicting Helmet Sales,” JOINCS (Journal Informatics, Network, Comput. Sci., vol. 5, no. 2, pp. 30–34, 2022, doi: 10.21070/joincs.v5i2.1607.

R. Yolanda, D. Rahmi, A. Kurniati, and S. Yuniati, “Penerapan Metode Triple Exponential Smoothing dalam Peramalan Produksi Buah Nenas di Provinsi Riau,” J. Teknol. dan Manaj. Ind. Terap., vol. 3, no. I, pp. 1–10, 2024, doi: 10.55826/tmit.v3ii.285.

Y. Arshimelda, K. D. Hartomo, and ..., “Analysis and Implementation of FP-Growth Algorithm to Support Promotion Strategy UNAKI Semarang,” Int. J. …, vol. 18, no. 12, 2020, doi: 10.5281/zenodo.4425586.

A. Zubair and R. Umamit, “Penerapan Metode Holt-Winters Untuk Peramalan Penjualan pada Industri Makanan Ringan,” Techno.com J. Teknol. Inf., vol. 20, no. 4, pp. 499–507, 2021, doi: 10.33633/tc.v20i4.5093.

K. D. Hartomo, S. Yulianto, and A. Valentina, “A New Model of Poverty Index Prediction Using Triple Exponential Smoothing Method,” 7th Int. Conf. Inf. Technol. Comput. Electr. Eng. ICITACEE 2020 - Proc., pp. 76–79, 2020, doi: 10.1109/ICITACEE50144.2020.9239205.

E. Munanda and S. Monalisa, “Penerapan Algoritma Fp-Growth Pada Data Transaksi Penjualan Untuk Penentuan Tataletak,” J. Ilm. Rekayasa dan Manaj. Sist. Inf., vol. 7, no. 2, pp. 173–184, 2021, doi: 10.24014/rmsi.v7i2.13253

O. Hutapea, “Association Rules Menggunakan Algoritma FP-Growth Untuk Tata Letak Di Koperasi IT Del 1,” vol. 5, no. 1, pp. 57–69, 2024, doi: 10.35957/algoritme.xxxx.

Bekri Murdianto and Arief Jananto, “INDONESIA Pola Asosiasi Untuk Rekomendasi Penataan Display Barang Menggunakan Algoritma Apriori dan FP-Growth (Study Kasus Gamefantasia Ada Swalayan Pati),” Elkom J. Elektron. dan Komput., vol. 16, no. 1, pp. 109–20, 2023, doi: 10.51903/elkom.v16i1.999.

V. Rahayu, “Analisis Algoritma Apriori dan FP-Growth Dalam Menemukan Pola Frequent Item Data Association Rule Pada Supermarket,” Explore, vol. 11, no. 2, p. 20, 2021, doi: 10.35200/explore.v11i2.436.

E. D. Yang, P. E. Pakpahan, C. A. Pamungkas, and W. Zakiyah, “Analisis Perilaku Pembelian Konsumen Menggunakan Algoritma Pertumbuhan FP Untuk Meningkatkan Penjualan di Orchid Mart Manokwari,” G-Tech J. Teknol. Terap., vol. 7, no. 1, pp. 127–134, 2023, doi: 10.33379/gtech.v7i1.1930.

M. W. Adji and D. K. Hakim, "Comparison of Double and Triple Exponential Smoothing Methods for Rainfall Prediction" Jurnal E-Komtek Prediction, vol. 8, no. 1, pp. 64–76, 2024, doi: 10.37339/e-komtek.v8i1.1755

D. U. Rosa, M. S. Alan, Nurhidayah, H. Wulandari, Rosana, and S. Ramadhan, “Metode Exponential Smoothing Dalam Memproyeksikan Jumlah Penduduk Miskin Di Nusa Tenggara Barat,” J. Pemikir. dan Penelit. Pendidik. Mat., vol. 2, no. 1, pp. 42–53, 2019.

A. H. Y. Azhari, Zahedi, E. Rosmaini, and R. Siregar, “Implementasi Metode Holt-Winters Untuk Peramalan Harga Daging Sapi Dan Telur Ayam Di Pasar Tradisional Sumatera Utara,” Leibniz J. Mat., vol. 4, no. 2, pp. 23–41, 2024, doi: 10.59632/leibniz.v4i02.413.


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Article History
Submitted: 2024-11-18
Published: 2024-12-18
Abstract View: 53 times
PDF Download: 34 times
How to Cite
Loka, S., Afdal, M., Novita, R., & Mustakim, M. (2024). Implementasi Metode Holt-Winters dan FP-Growth dalam Melakukan Peramalan Stok Barang Pada Swalayan Berdasarkan Pola Asosiasi. Building of Informatics, Technology and Science (BITS), 6(3), 1700-1708. https://doi.org/10.47065/bits.v6i3.6305
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