Implementation of the Fuzzy Time Series Method for Forecasting Silver Jewellery Sales
DOI:
https://doi.org/10.58982/krisnadana.v5i1.971Keywords:
Forecasting, Sales, Fuzzy Time Series, Silver JewelryAbstract
Art shop Onno Silver is one of the art shops located on Jalan Raya Celuk No. 27, Celuk, Sukawati District, Gianyar, selling various types of silver jewelry such as earrings, bracelets, necklaces, rings and other types. Art shop Onno Silver only sees sales data from previous months without any more accurate calculations in sales forecasting. Art shop Onno Silver faces challenges in planning sales strategies and predicting sales in the following month due to unpredictability and high sales fluctuations, due to each category having different sales patterns that are influenced by various factors. This sales forecasting research uses the Fuzzy Time Series method. The results of this research method show the accuracy level of the earrings category MSE results of 8032.48, MAE results of 72.24, and MAPE results of 34.78%. The accuracy results for the bracelet category show MSE results of 539.37, MAE results of 20.82, and MAPE results of 26.61%. And the ring category evaluation results show MSE results of 12567.78, MAE results of 87.60, and MAPE results of 36.19%. From the evaluation results of the earrings, bracelets, and rings categories where it is in the range of 20% ? x < 50% that the forecasting accuracy is quite good. While the evaluation results of the necklace category show the MSE result of 87.43, the MAE result of 6.51, and the MAPE result of 12.35% where it is in the range of 10% ? x < 20% that the forecasting accuracy is good.References
M. Y. Fathoni dan S. Wijayanto, “Forecasting Penjualan Gas LPG di Toko Sembako Metode Fuzzy Time Series,” Jurnal Jupiter, vol. 13, no. 2, hlm. 87–96, Okt 2021.
I. W. Dibia dkk., “Ekonomi Kreatif Kabupaten Gianyar,” 2019.
I. G. A. E. Sulistyani dan N. M. Hartini, “Faktor-Faktor Yang Menentukan Keputusan Konsumen Membeli Kerajinan Perhiasan Perak Di Puspa Mega Silver Kabupaten Gianyar (Studi Pada Konsumen Puspa Mega Silver Di Kabupaten Gianyar – Bali),” Journal Research Management (JARMA), vol. 1, no. 1, hlm. 43–45, 2019.
A. R. Sumartini dan I. G. P. Ariwiguna, “Analisis Posisi Bersaing dan Penentuan Strategi Bauran Pemasaran untuk Meningkatkan Nilai Penjualan pada Budhi Ayu Silver di Celuk Sukawati Gianyar,” Warmadewa Management and Business Journal (WMBJ), vol. 1, no. 1, hlm. 9–18, 2019, doi: 10.22225/wmbj.1.1.1009.9-18.
M. N. R. Arifah dan V. Sari, “Peramalan Produk Domestik Regional Bruto (PDRB) Atas Dasar Harga Konstan Menurut Lapangan Usaha Menggunakan Weighted Fuzzy Time Series,” Seri MIPA dan Kesehatan, hlm. 1001–1010, 2023.
R. A. Hasyim, “Peramalan Penjualan Barang Menggunakan Metode Fuzzy Time Series Pada TB. AA Jaya di Bangunrejo,” 2021.
D. P. Sugumonrong, A. Handinata, dan A. Tehja, “Prediksi Harga Emas Menggunakan Metode Fuzzy Time Series Model Algoritma Chen,” Informatics Engineering Research And Technology, hlm. 48–54, Agu 2019.
E. T. Febriana, “Fuzzy Time Series Chen Orde Tinggi Untuk Meramalkan Jumlah Penumpang Dan Kendaraan Kapal (Studi Kasus: PT Asdp Indonesia Ferry (Persero) Cabang Merak),” hlm. 14–19, 2019.
R. A. F. Saputri, “Penerapan Metode Fuzzy Time Series Untuk Prediksi Penjualan Berbasis Web Pada Toko Grosir 3 Roda Sengkaling,” Jurnal Mahasiswa Teknik Informatika, vol. 3, no. 1, hlm. 290–297, 2019.
R. K. Pratama, A. A. Karim, dan C. D. P. Hertadi, “Perencanaan Stok Pengaman dan Titik Pemesanan Ulang dengan Metode Time Series pada Perusahaan Furniture Di Kalimantan,” Jurnal Teknologi dan Manajemen Industri Terapan (JTMIT), vol. 2, no. 3, hlm. 200–211, Sep 2023.
M. Risnawati, W. Syafmen, dan B. Mardhotillahs, “Prediksi Penjualan Emas di PT. Pegadaian Area Jambi Menggunakan Fuzzy Time Series Cheng,” Jurnal Ekonomi Dan Statistik Indonesia, vol. 3, no. 1, hlm. 70–84, Jun 2023, doi: 10.11594/jesi.03.01.06.
F. Malik dan R. Rachmatika, “Implementasi Algoritma Fuzzy Time Series Untuk Prediksi Jumlah Pengunjung Di Puskesmas Tajurhalang,” Jurnal Ilmu Komputer dan Pendidikan, vol. 2, no. 1, hlm. 143–152, 2023.
Tursina, R. Septiriana, dan I. Varian, “Prediksi Indeks Harga Konsumen Menggunakan Metode Fuzzy Time Series Cheng,” Jurnal Locus Penelitian dan Pengabdian, vol. 2, no. 1, hlm. 51–59, Jan 2023, doi: 10.58344/locus.v2i1.850.
F. M. Putri, “Tingkat Peramalan Penjualan Produk Bordir dan Sulaman Menggunakan Metode Trend Moment,” Jurnal Informatika Ekonomi Bisnis, vol. 4, no. 2, hlm. 34–38, Mar 2022, doi: 10.37034/infeb.v4i2.122.
L. Yuliana, “Analisis Perencanaan Penjualan Dengan Metode Time Series (Studi Kasus Pada Pd. Sumber Jaya Aluminium),” Jurnal Mitra Manajemen (JMM Online), vol. 3, no. 7, hlm. 780–789, 2019.
M. Rizqi, A. Cahya Prihandoko, dan N. El Maidah, “Implementasi Metode Weighted Moving Average Untuk Sistem Peramalan Penjualan Markas Coffee,” Informatics Journal, vol. 6, no. 3, hlm. 154–159, 2021.
O. D. Kelana, “Perbandingan Metode Fuzzy Time Series Model Chen dan Singh Pada Peramalan Nilai Tukar Petani Di Indonesia,” hlm. 6–19, 2022.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Komang Kurniawan Widiartha, Gede Dana Pramitha , Kadek Ryan Saputra Galiharta

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.





















