Peramalan Harga Eceran Cabai Merah Menggunakan Fuzzy Time Series

Lilis Harianti Hasibuan, Syarto Musthofa, M Syahrul Ridho Nasution

Abstract


Red chilies are a type of staple ingredient that is consumed by the wider community every day. Changes in the price of red chilies always occur from time to time. Therefore, it is important to carry out forecasting to consider decisions, both from buyers, traders and investors. The forecasting method that can be applied to this problem is the Fuzzy Time Series method with a classical approach. This method uses a fuzzy set as the basis for the forecasting process. The research results show that the forecast value of retail prices for red chilies follows the data pattern of actual red chili price movements. This is proven by the Mean Absolute Percentage Error (MAPE) forecasting accuracy value of .

Keywords


cabai merah, Fuzzy time series, Time series

Full Text:

PDF

References


I. Winarni, “Ruang Lingkup dan Perkembangan Hortikultura,” J. Hortik., pp. 1–43, 2012.

L. H. Hasibuan and S. Musthofa, “Penerapan Metode Regresi Linear Sederhana Untuk Prediksi Harga Beras di Kota Padang | Hasibuan | JOSTECH: Journal of Science and Technology,” 2022. https://www.ejournal.uinib.ac.id/jurnal/index.php/jostech/article/view/3802/pdf (accessed Apr. 26, 2022).

L. H. Hasibuan, “Journal of Science and Technology: Editorial,” J. Sci. Technol. Trop., vol. 5, no. 1, p. 3, 2009.

M. Masruroh, “Perbandingan Metode Regresi Linear Dan Neural Network Backpropagation Dalam Prediksi Nilai Ujian Nasional Siswa Smp Menggunakan Software R,” Joutica, vol. 5, no. 1, pp. 331–336, 2020.

K. Safitri, D. Kusnandar, and N. Nessyana Debataraja, “Peramalan Curah Hujan Dengan Metode Fuzzy Time Series Markov Chain,” Bimaster, vol. 12, no. 1, pp. 35–42, 2023.

F. Aditya, D. Devianto, and M. Maiyastri, “Peramalan Harga Emas Indonesia Menggunakan Metode Fuzzy Time Series Klasik,” J. Mat. UNAND, vol. 8, no. 2, p. 45, 2019, doi: 10.25077/jmu.8.2.45-52.2019.

C. H. Cheng, T. L. Chen, H. J. Teoh, and C. H. Chiang, “Fuzzy time-series based on adaptive expectation model for TAIEX forecasting,” Expert Syst. Appl., vol. 34, no. 2, pp. 1126–1132, 2008, doi: 10.1016/j.eswa.2006.12.021.




DOI: https://doi.org/10.15548/jostech.v3i2.6842

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 JOSTECH Journal of Science and Technology

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