Prediksi Jumlah Pendapatan Daerah Pada Kantor BPKPAD Dengan Metode Fuzzy Time Series
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Sry Winda Gultom
*
Universitas Budi Darma, Medan,
Indonesia
(*) Corresponding Author
Abstract
Regional income is an important factor that greatly influences regional finances which is useful as adding value to regional wealth. This research aims to find out what is included in Original Regional Income, what things influence original regional income and how to manage original regional income. This research uses data obtained from the Regional Revenue and Asset Financial Management Agency Office of Humbang Hasundutan Regency. The actual data used in this research is realized income from 2018 to 2020. In this research, the author uses the fuzzy time series method to make predictions. By using this method, the author will carry out a process of predicting or forecasting the amount of income from 2021 to 2023. By using this fuzzy time series method, the calculations carried out by the author produce conclusions with decent forecasting performance, namely in the MAPE value range of 20-50%, namely the error value is 32.86%. With this the absolute error is 11.83 and the prediction accuracy value is 67.17%
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References
Agustina, D. (2021). Perbandingan Model Cheng Dan Ruey Chyn Tsaur Pada Metode Fuzzy Time Series Untuk Memprediksi Nilai Tukar Petani Di Provinsi Jawa Tengah. Muhammadiyah University, Semarang.
Arvie, D. (2022). Peramalan Import Migas Dan Non-Migas Menggunakan Metode Fuzzy Time Series Model Cheng. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 9(4), 3519–3528.
Cynthia, E. P. (2019). Metode Fuzzy Time Series Cheng dalam Memprediksi Jumlah Wisatawan di Provinsi Sumatera Barat. Journal of Education Informatic Technology and Science, 1(1), 11–23.
Ella, A. P., Arifianto, D., Kom, S., & Kom, M. (2020). Penerapan Fuzzy Time Series Dalam Peramalan Harga Minyak Serai Pada Cv Agam Jaya Atsiri. K. Elissa,“Title of Paper If Known,” Unpublished.
Eska, J. (2018). Penerapan Data Mining Untuk Prediksi Penjualan Wallpaper Menggunakan Algoritma C4. 5.
Kartini, D., Rusdiani, H., & Farmadi, A. (2019). Analisis Pengaruh Banyak Orde pada Metode Multivariate High-Order Fuzzy Time Series untuk Prediksi Duga Muka Air Waduk. JEPIN (Jurnal Edukasi Dan Penelitian Informatika), 5(1), 9–17.
Perwira, R. I., Yudhiantoro, D., & Wahyurini, E. (2020). Fuzzy Time Series Model Cheng Untuk Meramalkan Volume Hasil Panen Pada Tanaman Garut. Telematika: Jurnal Informatika Dan Teknologi Informasi, 17(1), 11–17.
Puspita, R., Putri, S., Waspada, I., Ilmu, D., Informatika, K., & Sains, F. (n.d.). khazanah informatika Penerapan Algoritma C4 . 5 pada Aplikasi Prediksi Kelulusan Mahasiswa Prodi Informatika. 1–7.
Rahmawati, R., Sari, D. E., Rahma, A. N., & Soleh, M. (2021). Peramalan Curah Hujan di PPKS Bukit Sentang Dengan Menggunakan Fuzzy Time Series Ruey Chyn Tsaur. Vol, 17, 51–61.
Ramadhan, M. R., Tursina, T., & Novriando, H. (2020). Implementasi Fuzzy Time Series pada Prediksi Jumlah Penjualan Rumah. JUSTIN (Jurnal Sistem Dan Teknologi Informasi), 8(4), 418–423.
RIZALMA, A. K. (2022). METODE FUZZY TIME SERIES MODEL CHEN UNTUK PERAMALAN NILAI EKSPOR DI INDONESIA.
Safitri, Y., Wahyuningsih, S., & Goejantoro, R. (2018). Peramalan Dengan Metode Fuzzy Time Series Markov Chain. EKSPONENSIAL, 9(1), 51–58.
Siburian, V. W., & Mulyana, I. E. (2019). Prediksi Harga Ponsel Menggunakan Metode Random Forest. Annual Research Seminar (ARS), 4(1), 144–147.
Sulpaiyah, S., Bahri, S., & Harsyiah, L. (2022). Peramalan Harga Beras dengan Metode Double Exponential Smoothing dan Fuzzy Time Series (Study Kasus: Harga Beras di Kota Mataram). EIGEN MATHEMATICS JOURNAL, 58–69.
Yudi, Y. (2018). Peramalan Penjualan Mesin Industri Rumah Tangga Dengan Metode Fuzzy Time Series Ruey Chyn Tsaur. Jurnal Informatika Kaputama (JIK), 2(1), 53–59.
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