Peramalan Suhu Rata – Rata Kota Padang Panjang dengan Membandingkan Metode SARIMA dan Holt – Winter Additive
Abstract
Padang Panjang City, situated at an altitude of 650 to 850 meters above sea level and surrounded by high mountains, experiences significant temperature changes that affect various aspects of life such as public health, agriculture, and tourism. This study aims to forecast the monthly average temperature of Padang Panjang City from January 2017 to December 2023 by comparing SARIMA and Holt-Winters Additive forecasting methods. The results show that the SARIMA method, with an MSD value of 0.2206, is more accurate compared to the Holt-Winters Additive method, which has an MSD value of 0.29821. With the SARIMA model as the best method, the forecast indicates that the highest average temperature in Padang Panjang City will reach 23.1418 degrees Celsius in May 2024. These results are expected to provide a strong basis for planning and decision-making related to the temperature changes occurring in Padang Panjang City.
References
Administrator. (2023). Pengaruh Perubahan Iklim Terhadap Sektor Pertanian. https://upland.psp.pertanian.go.id/public/artikel/1687919315/pengaruh-perubahan-iklim-terhadap-sektor-pertanian
Agriani, S. (2022). Evaluasi Algoritma Peramalan Exponential Smoothing dan Holt-Winter’s Additive dalam Data Mining. Seminar Nasional CORIS 2022, 3, 554–560. https://corisindo.stikom-bali.ac.id/penelitian/index.php/semnas/article/view/117%0Ahttps://corisindo.stikom-bali.ac.id/penelitian/index.php/semnas/article/download/117/87
Amri, N. (2020). Pengetahuan Pasien Tentang Hipotermi. Jurnal Abdimas Saintika, 4(1), 118–120. https://jurnal.syedzasaintika.ac.id/index.php/abdimas/article/view/1499/1038
Mengukur Error dalam Forecasting. (2018). https://sis.binus.ac.id/2018/12/18/mengukur-error-dalam-forecasting/
Munira Anwar, M., Khalilah Nurfadilah, & Wahidah Alwi. (2021). Penerapan Metode SARIMA untuk Peramalan Jumlah Pengunjung Wisata Taman Nasional Bantimurung Bulusaraung Maros. Journal of Mathematics: Theory and Applications, 3(1), 1–7. https://doi.org/10.31605/jomta.v3i1.1221
Pengertian Suhu, Alat Ukur, dan Skalanya. (2023). https://kumparan.com/pengertian-dan-istilah/pengertian-suhu-alat-ukur-dan-skalanya-20F4nMl8uqY/4
Prianda, B. G., & Widodo, E. (2021). Perbandingan Metode Seasonal Arima Dan Extreme Learning Machine Pada Peramalan Jumlah Wisatawan Mancanegara Ke Bali. BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 15(4), 639–650. https://doi.org/10.30598/barekengvol15iss4pp639-650
Santosa, M. A., Sarja, N. L. A. K. Y., & Wiyati, R. K. (2019). Perbandingan Metode Holt Winter Additive Dan Metode Holt Winter Additive Damped Dalam Peramalan Jumlah Pendaftaran Mahasiswa. Jurnal Ilmiah Rekayasa Dan Manajemen Sistem Informasi, 5(1), 93. https://doi.org/10.24014/rmsi.v5i1.7378
Susanti, N. E., Saputra, R., & Situmorang, I. A. (2024). Perbandingan Metode SARIMA, Double Exponential Smoothing dan Holt-Winter Additive dalam Peramalan Retail Sales Mobil Honda. Jurnal Sains Matematika Dan Statistika, 10(1), 58. https://doi.org/10.24014/jsms.v10i1.26375
Thom, F. I., & Adi, A. C. (2023). Hubungan Iklim Kerja Panas dengan Status Hidrasi Pekerja: Literatur Review. Media Gizi Kesmas, 12(2), 1081–1087. https://doi.org/10.20473/mgk.v12i2.2023.1081-1087