Optimalisasi Peramalan Total Aset PT. BPD Kaltim Kaltara dengan Double Exponential Smoothing Brown
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https://doi.org/10.32665/statkom.v3i2.3525Keywords:
Forecasting, DES Brown, MAPE, Total AssetsAbstract
Background: Total assets can provide a comprehensive picture of the wealth owned by a company or institution, with total assets also helping to assess the scale of operations, stability, and the company’s ability to meet its financial responsibilities. Study on the total assets held by PT. BPD Kaltim Kaltara is interesting to do because it has an important role in advancing economic growth in the East Kalimantan and North Kalimantan regions. Digital transformation can influence how assets grow and how capital is structured.
Objective: Predicting PT BPD Kaltim Kaltara’s total assets over the next three periods using the DES Brown method with the optimal constant.
Methods: Double Exponential Smoothing Brown (DES Brown) with constants α = β = 0.3; 0.6; 0.7; 0.8.
Results: The smallest MAPE value is obtained at the constant α = β = 0.3, indicating that the DES Brown method with this constant provides the most accurate forecasting results.
Conclusion: The forecasting results for the next three periods show a stable upward trend, namely September at Rp48,389,055.93, October at Rp48,480,301.62, and November at Rp48,571,547.30. Thus, the DES Brown method has proven effective in forecasting the total assets of PT. BPD Kaltim Kaltara and can be used to support the company's financial decision making.
References
Habsari, H. D. P., Purnamasari, I., & Yuniarti, D. (2020). FORECASTING USES DOUBLE EXPONENTIAL SMOOTHING METHOD AND FORECASTING VERIFICATION USES TRACKING SIGNAL CONTROL CHART (CASE STUDY: IHK DATA OF EAST KALIMANTAN PROVINCE). BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 14(1), 013–022. https://doi.org/10.30598/barekengvol14iss1pp013-022
Heizer, J., Render, B., & Munson, C. (2016). Operations Management: Sustainability and Supply Chain Management (Twelfth Ed). Pearson Education.
Khoiriyah, N. S., Silfiani, M., Novelinda, R., & Rezki, S. M. (2023). Peramalan Jumlah Penumpang Kapal di Pelabuhan Balikpapan dengan SARIMA. Jurnal Statistika Dan Komputasi, 2(2), 76–82. https://doi.org/10.32665/statkom.v2i2.2303
Nabillah, I., & Ranggadara, I. (2020). Mean Absolute Percentage Error untuk Evaluasi Hasil Prediksi Komoditas Laut. JOINS (Journal of Information System), 5(2), 250–255. https://doi.org/10.33633/joins.v5i2.3900
Ngabidin, Z., Sanwidi, A., & Arini, E. R. (2023). Implementasi Metode Double Exponential Smoothing Brown Untuk Meramalkan Jumlah Penduduk Miskin. Euler : Jurnal Ilmiah Matematika, Sains Dan Teknologi, 11(2), 328–338. https://doi.org/10.37905/euler.v11i2.23054
Nurvianti, I., Setiawan, B. D., & Bachtiar, F. A. (2019). Perbandingan Peramalan Jumlah Penumpang Keberangkatan Kereta Api di DKI Jakarta Menggunakan Metode Double Exponential Smoothing dan Triple Exponential Smoothing. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(6), 5257–5263. https://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/5458
Purnama, D., Harjadi, D., & Juwita, J. (2021). TOTAL ASET, RISIKO BISNIS, PERTUMBUHAN ASET DAN PROFITABILITAS TERHADAP HARGA SAHAM. Medikonis, 12(2), 33–41. https://doi.org/10.52659/medikonis.v12i2.46
Riauwanto, S., & Sulastiningsih, S. (2020). PENGARUH TOTAL ASET DAN BAGI HASIL PERBANKAN TERHADAP VOLUME DANA PIHAK KETIGA (DPK) PADA BANK UMUM SYARIAH. Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen, 6(2), 131–146. https://doi.org/10.32477/jrm.v6i2.19
Saragih, S. M., & Sembiring, P. (2022). ANALISIS PERBANDINGAN METODE ARIMA DAN DOUBLE EXPONENTIAL SMOOTHING DARI BROWN PADA PERAMALAN INFLASI DI INDONESIA. Journal of Fundamental Mathematics and Applications (JFMA), 5(2), 176–191. https://doi.org/10.14710/jfma.v5i2.15312
Silfiani, M., Lumintang, I. A., & Winda, R. L. (2024). Perbandingan Beberapa Metode Univariat Time Series pada Peramalan Curah Hujan. Jurnal Statistika Dan Komputasi, 3(1), 22–31. https://doi.org/10.32665/statkom.v3i1.2730
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