PERAMALAN HARGA SAHAM PT NFC INDONESIA TBK (NFCX) DENGAN METODE ARIMA
DOI:
https://doi.org/10.32477/jrabi.v6i1.1401Keywords:
ARIMA, Forecasting, Time Series, Stock Price, RStudio.Abstract
This study aims to analyze and forecast the stock price of PT NFC Indonesia Tbk (NFCX) using the ARIMA method based on RStudio with daily data for 3 years. The analysis includes stationarity testing, differencing, model identification using ACF and PACF, diagnostic testing, and forecasting. The results show that the best model is ARIMA (2,1,0) with an AIC value of -847.7307. The model has good accuracy with RMSE of 0.1405438, MAE of 0.07784609, and MAPE of 2.661817%. Forecasting results indicate that the model can follow historical stock price patterns well and can be used as a tool to support investment decisions. The findings are expected to support investors in making stock investment decisions.
References
Arima-garch, P. C.-M., Km, J. S., Joang, K., & Balikpapan, T. (2021). Institut Teknologi Kalimantan. 14(2), 99–109.
Auliah, U., & Mubarak, F. (2023). Penerapan metode ARIMA terhadap perkiraan harga saham pada perusahaan Bank Syariah Indonesia ( BSI ). 11(1), 41–48.
Azizah, S. Q., Romadhona, W., Pertahanan, U., Indonesia, R., & Forecasting, T. S. (2027). Analisis Perbandingan Model Arima Dan Ets Dalam Peramalan Harga Indeks Idx80 Pada Kondisi Pasar Yang Volatil. 10(1), 750–756.
Dwi, R., & Hidayati, N. (2025). Implementasi Model ARIMA untuk Analisa Prediksi Harga Penutupan Saham Historis Harian Perusahaan BP Minyak dan Gas Multinasional Implementation of ARIMA Model for Daily Historical Stock Closing Price Prediction Analysis of BP Oil and Gas Multinational Company. 13(3). https://doi.org/10.26418/justin.v13i3.90747
Gazali, M. M., & Setiawan, H. (2025). Penerapan Model ARIMA untuk Meramalkan Harga Pembukaan Harian Saham PT . Bank Central Asia Tbk. 5(1), 278–289.
Haqqi, A., Zili, A., Hendri, D., Anastassia, S., & Kharis, A. (2022). Peramalan Harga Saham Dengan Model Hybrid Arima-Garch dan Metode Walk Forward. 6(2), 341–354.
Ibrahim, R., & Agustin, Y. H. (2025). Prediksi IHSG Dengan Algoritma Autoregressive Integrated Moving Avarage (ARIMA). 1221–1233. https://doi.org/10.33364/algoritma/v.22-2.1963
Irwan, L. I., & Talalu, L. A. (2026). Perbandingan Prediksi Harga Saham Menggunakan Model Arima-Garch (Studi Kasus Saham Sektor Keuangan). 10(1), 757–762.
Jurnal, J., Mea, I., Saham, I., Saham, I., & Djia, A. S. (2024). Analisis Kointegrasi Indeks Saham Filipina Psei , JIMEA | Jurnal Ilmiah MEA (Manajemen , Ekonomi , dan Akuntansi ). 8(1), 528–557.
Khandelwal, S., & Mohanty, D. (2021). Stock Price Prediction Using Arima Model. 2(2), 98–107.
Kurniasi, A. A., Saptari, M. A., Ilhadi, V., Studi, P., Informasi, S., Teknik, F., Malikussaleh, U., & Efek, B. (2020). Aplikasi Peramalan Harga Saham Perusahaan Lq45 Dengan Menggunakan. November 2019, 13–26.
Mei, N., Gempati, A., Kewilayahan, P. E., Vokasi, S., Mada, U. G., Kewilayahan, P. E., Vokasi, S., Mada, U. G., Kewilayahan, P. E., Vokasi, S., Mada, U. G., Kewilayahan, P. E., Vokasi, S., Mada, U. G., Kewilayahan, P. E., Vokasi, S., Mada, U. G., Bulaksumur, A., Depok, K., … Yogyakarta, D. I. (2025). Peramalan Data Ihsg 2021-2025 Di Indonesia Dengan Time Series Modeling Autoregressive Integrated Moving Average ( ARIMA ). 3(5), 225–234.
Metode, P., Kasus, S., & Saham, H. (2025). Jurnal Ilmiah Multidisiplin. 4(2). No Title. (2024). 106–116.
Ramadani, K., Wahyuningsih, S., & Hayati, M. N. (2022). Forecasting Stock Price PT . Telkom Using Hybrid Time Series Regression Linear – Autoregressive Integrated Moving Average Model Peramalan Harga Saham PT . Telkom Menggunakan Model Hybrid. 18(2), 293–307. https://doi.org/10.20956/j.v18i2.18837
Rusminto, M. Z., Wibowo, S. A., & Wahyuni, F. S. (2024). Peramalan Harga Saham Menggunakan Metode Arima ( Autoregressive Integrated Moving Average ) Time Series. 8(2), 1263–1270.
Setiawan, L., & Susanti, D. (2023). Analisis Perbandingan Hasil Peramalan Harga Saham Menggunakan Model Autoregresive Integrated Moving Average dan Long Short Term Memory. 19(2), 223–234. https://doi.org/10.24198/jmi.v19.n2.42164.223-234
Shalahuddin, M., & Oktaviyani, H. (2024). Journal of Social and Economics Research. 6(2), 496–506.
Sofian, A., Hidayat, E., & Primajati, G. (2024). Estimating and Forecasting Composite Index in Pandemic Era Using ARIMA-GARCH Model. 7(2), 115–124.
Sudipa, I. G. I., Riana, R., Tri, I. N., Putra, A., & Yanti, C. P. (2023). Trend Forecasting of the Top 3 Indonesian Bank Stocks Using the ARIMA Method. 7(3), 1883–1893.
