PREDIKSI HARGA CABAI RAWIT MERAH DI PROVINSI JAWA TIMUR MENGGUNAKAN ALGORITMA SVM
DOI:
https://doi.org/10.26418/justin.v12i4.81819Keywords:
SVM, Cabai Rawit Merah, PrediksiAbstract
Fluktuasi harga cabai rawit merah mempengaruhi pasar komoditas dan pendapatan petani, serta keputusan bisnis di industri pertanian dan makanan. Penelitian ini bertujuan untuk mengembangkan model prediksi harga cabai rawit merah di Provinsi Jawa Timur menggunakan algoritma Support Vector Machine (SVM). Hasil evaluasi model menunjukkan tingkat akurasi yang tinggi, dengan Keseluruhan Kesalahan Absolute (MAE) dari 0.0537, Keselengah Kesalahan persegi (MSE) dari 0.0062, Keseluruh Kesilapan persegi akar dari 0.0787, dan koefisien penentuan (R2) dari 0.9946. Hasil ini menunjukkan bahwa model SVM dapat efektif dalam memprediksi harga cabai rawit merah.
References
A. Wardhono, Y. Indrawati, C. G. Qori’ah, and M. A. Nasir, “Institutional Arrangement for Food Price Stabilization and Market Distribution System: Study of Chili Commodity in Banyuwangi Regency,†E3S Web Conf., vol. 142, 2020, doi: 10.1051/e3sconf/202014205006.
R. Indrasti, J. B. M. Rawung, N. R. Sudolar, K. B. Andri, Sahram, and S. S. Tan, “Farmer institutional and economic feasibility study on red chilli pepper farming in Kepung District, Kediri Regency, East Java Province,†IOP Conf. Ser. Earth Environ. Sci., vol. 807, no. 2, 2021, doi: 10.1088/1755-1315/807/2/022018.
Y. N. Saputro and E. Sediyono, “Analisis Supply Chain Management ( SCM ) Komoditas Cabai Rawit Merah di Kecamatan Getasan , Kabupaten Semarang,†Semin. Nas. Teknol. Inf. dan Komun., pp. 267–271, 2019.
E. Hardanto, “Komoditas Strategis Pertanian Cabai Berbasis Support Vector Machine Untuk Pengendalian Fluktuasi Harga Cabai Di Indonesia Developing Suppport Vector Machine- Based Decision Support System of Chili Agriculture ’ S Strategic Commodity for Chili Price Fluctu,†2018.
R. M. Smith et al., “Rituximab versus azathioprine for maintenance of remission for patients with ANCA-associated vasculitis and relapsing disease: an international randomised controlled trial,†Ann. Rheum. Dis., vol. 82, no. 7, pp. 937–944, Jul. 2023, doi: 10.1136/ard-2022-223559.
W. R. U. Fadilah, D. Agfiannisa, and Y. Azhar, “Analisis Prediksi Harga Saham PT. Telekomunikasi Indonesia Menggunakan Metode Support Vector Machine,†Fountain Informatics J., vol. 5, no. 2, p. 45, 2020, doi: 10.21111/fij.v5i2.4449.
Fatkhuroji, S. Santosa, and R. Anggi Pramunendar, “Prediksi Harga Kedelai Lokal dan Kedelai Impor Dengan Metode Support Vector Machine Berbasis Forward Selection,†J. Teknol. Inf., vol. 15, no. 1, pp. 61–77, 2019.
J. Cervantes, F. Garcia-Lamont, L. RodrÃguez-Mazahua, and A. Lopez, “A comprehensive survey on support vector machine classification: Applications, challenges and trends,†Neurocomputing, vol. 408, pp. 189–215, Sep. 2020, doi: 10.1016/j.neucom.2019.10.118.
A. Y. Labolo et al., “Comparasi Algoritma Forecasting Svm , K-Nn Dan Nn,†vol. 4307, no. 2, pp. 289–299, 2022.
S. S. Rahayu, I. Afrianty, E. Budianita, and F. Syafria, “Klasifikasi Tulang Tengkorak Berdasarkan Jenis Kelamin Dalam Antropologi Forensik Menggunakan Metode Support Vector Machine,†pp. 243–256, 2024.
I. Oktavia and A. R. Isnain, “Analisis Sentimen Opini Terhadap Tools Artificial Intelligence (AI) Berdasarkan Twitter Menggunakan Algoritma Naïve Bayes,†J. Media Inform. Budidarma , vol. 8, no. 2, pp. 777–787, 2024, doi: 10.30865/mib.v8i2.7524.
D. A. Dzulhijjah, M. B. Herlambang, M. Haifan, P. Studi, P. Insinyur, and T. Selatan, “Implementasi Framework CRISP-DM untuk Proses Data Mining Aplikasi Credit Scoring PT.XYZ,†Pros. Semin. Nas. Teknol. Inf. dan Bisnis, vol. 1, no. 1, pp. 238–251, 2023.
V. K. Chauhan, K. Dahiya, and A. Sharma, “Problem formulations and solvers in linear SVM: a review,†Artif. Intell. Rev., vol. 52, no. 2, pp. 803–855, 2019, doi: 10.1007/s10462-018-9614-6.
С. Серік, Ð. Мавричева, and Т. Ченчик, “Рівні Моноцитарного Хемоатрактантного Протеїну-1 У Хворих Ðа Цукровий Діабет 2 Типу У Поєднанні З Ішемічною Хворобою СерцÑ,†Probl. Endocr. Pathol., vol. 78, no. 4, pp. 57–64, 2021, doi: 10.21856/j-pep.2021.4.08.
R. S. Sinambela, M. Ula, and A. F. Ulva, “Prediksi Harga Emas Menggunakan Algoritma Regresi Linear Berganda Dan Support Vector Machine ( SVM ) Prediction Gold Price Prediction Using Multiple Linear Regression Algorithm and Support Vector Machine ( SVM ),†vol. 12, no. 2, pp. 253–258, 2024, doi: 10.26418/justin.v12i2.73386.
W. Dias and L. R. Indrawati, “Analisis Determinan Ketimpangan Pendapatan Di Provinsi Jawa Barat Tahun 2015-2020,†J. Ekon. Pembang., vol. 10, no. 2, pp. 95–104, 2021, doi: 10.23960/jep.v10i2.268.
Downloads
Additional Files
Published
Issue
Section
License
Copyright (c) 2024 JUSTIN (Jurnal Sistem dan Teknologi Informasi)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The author owns the copyright in his paper and agrees to publish his paper to JUSTIN by giving the rights to the first publication of his paper which is simultaneously licensed under the Creative Commons Attribution License, namely the Similar International 4.0 license (CC BY-NC-SA 4.0).
This is a human-readable summary of (and not a substitute for) the license. Disclaimer.
You are free to:Share "” copy and redistribute the material in any medium or format
Adapt "” remix, transform, and build upon the material
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution "” You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial "” You may not use the material for commercial purposes.
ShareAlike "” If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions "” You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
