Prediksi Persediaan Uang Cash Pada Bank Menggunakan Exponential Smoothing

Musthofa Galih Pradana, Pujo Hari Saputro

Abstract


The position and existence of the money supply as an exchange rate makes its existence very important and vital. The existence and availability of money in the bank are important when many transactions involve cash. Activities in banking are inseparable from transactions involving cash. However, in practice, certain small and medium-scale banks do not provide large amounts of cash. Conditions for providing a large amount of cash will usually follow certain moments such as holidays, payment of monthly salaries, and other seasonal moments. In certain cases, cash withdrawals with a value above 100 million must be confirmed 1 day in advance. This raises the effectiveness value of the customer decreases. This problem can be helped by a predictive approach. The predictive approach has many algorithms or methods that can be used, one of the prediction methods applied is using Exponential Smoothing, the results show that the Single Exponential Smoothing method through measurements using Sum Square Error and Root Mean Square Error has advantages over Double Exponential Smoothing

Keywords


Money, Bank, Prediction, Exponential Smoothing.

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References


B. Indonesia, “Survei Perbankan Triwulan I,” Jakarta, 2023.

D. Abbott, Applied Predictive Analytics. Principles and techniques for the professional data analyst, vol. 53, no. 9. John Wiley & Sons, 2014.

R. J. Hyndman, A. B. Koehler, J. K. Ord, and R. D. Snyder, Springer Series in Statistics Forecasting with Exponential Smoothing. Springer Science & Business Media, 2008.

S. Suvriadi Panggabean, Pardomuan Robinson Sihombing, Komang Hari Santhi Dewi, I Nyoman Bagus Pramartha, Junaidy, “Simulasi Exponential Moving Avarage dan Single Exponential Smoothing: Sebuah Perbandingan Akurasi Metode Peramalan,” J. Pemikir. …, vol. 4, no. 1, pp. 1–10, 2021, [Online]. Available: http://journal.rekarta.co.id/index.php/jp3m/article/view/339%0Ahttps://journal.rekarta.co.id/index.php/jp3m/article/download/339/320.

H. D. E. Sinaga and N. Irawati, “Perbandingan Double Moving Average Dengan Double Exponential Smoothing Pada Peramalan,” Jurteksi, vol. IV, no. 2, pp. 197–204, 2018.

I. L. P. Navalina, N. I. Riwajanti, S. Sulistyono, and L. Djajanto, “Forecasting Produksi Perikanan Laut Yang Dijual Di Tpi (Ton) Dengan Metode Single Exponential Smoothing,” Media Mahard., vol. 18, no. 2, pp. 206–214, 2020, doi: 10.29062/mahardika.v18i2.149.

M. Hakimah, W. M. Rahmawati, and A. Y. Afandi, “Pengukuran Kinerja Metode Peramalan Tipe Exponential Smoothing Dalam Parameter Terbaiknya,” Netw. Eng. Res. Oper., vol. 5, no. 1, p. 44, 2020, doi: 10.21107/nero.v5i1.150.

F. Fauziah, Y. I. Ningsih, and E. Setiarini, “Analisis Peramalan (Forecasting) Penjualan Jasa Pada Warnet Bulian City di Muara Bulian,” Eksis J. Ilm. Ekon. dan Bisnis, vol. 10, no. 1, p. 61, 2019, doi: 10.33087/eksis.v10i1.160.

N. Hudaningsih, S. Firda Utami, and W. A. Abdul Jabbar, “Tujuan dari penelitian ini adalah untuk memanfaatkan informasi yang ada semaksimal mungkin dengan menggunakan sistem informasi manajemen. Dalam sistem informasi manajemen ini akan mengelola data untuk dijadikan informasi yang lebih mudah dilihat seperti m,” J. Inform. Teknol. dan Sains, vol. 2, no. 1, pp. 15–22, 2020.

A. B. Santoso, M. S. Rumetna, and K. Isnaningtyas, “Penerapan Metode Single Exponential Smoothing Untuk Analisa Peramalan Penjualan,” J. Media Inform. Budidarma, vol. 5, no. 2, p. 756, 2021, doi: 10.30865/mib.v5i2.2951.

B. Putro, M. T. Furqon, and S. H. Wijoyo, “Prediksi Jumlah Kebutuhan Pemakaian Air Menggunakan Metode Exponential Smoothing ( Studi Kasus : PDAM Kota Malang ),” J. Pengemb. Teknol. Inf. dan Ilmu Komput. Univ. Brawijaya, vol. 2, no. 11, pp. 4679–4686, 2018.

C. V. Hudiyanti, F. A. Bachtiar, and B. D. Setiawan, “Perbandingan Double Moving Average dan Double Exponential Smoothing untuk Peramalan Jumlah Kedatangan Wisatawan Mancanegara di Bandara Ngurah Rai,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 3, no. 3, pp. 2667–2672, 2019.

D. Romaita, F. A. Bachtiar, and M. T. Furqon, “Perbandingan Metode Exponential Smoothing Untuk Peramalan Penjualan Produk Olahan Daging Ayam Kampung (Studi Kasus : Ayam Goreng Mama Arka),” J. Pengemb. Teknol. Inf. dan Ilmu Komput. Univ. Brawijaya, vol. 3, no. 11, p. 10387, 2019, [Online]. Available: http://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/6682.

T. A. Tistiawan and T. D. Andini, “Pemanfaatan Metode Triple Exponential Smoothing Dalam Peramalan Penjualan Pada Pt.Dinamika Daya Segara Malang,” J. Ilm. Teknol. Inf. Asia, vol. 13, no. 1, p. 69, 2019, doi: 10.32815/jitika.v13i1.345.

H. S. Pakpahan, Y. Basani, and R. R. Hariani, “Prediksi Jumlah Penduduk Miskin Kalimantan Timur Menggunakan Single dan Double Exponential Smoothing,” Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 15, no. 1, pp. 47–51, 2020.

J. N. A. Aziza, “Perbandingan Metode Moving Average, Single Exponential Smoothing, dan Double Exponential Smoothing Pada Peramalan Permintaan Tabung Gas LPG PT Petrogas Prima Services,” J. Teknol. dan Manaj. Ind. Terap., vol. 1, no. I, pp. 35–41, 2022, doi: 10.55826/tmit.v1ii.8.




DOI: https://doi.org/10.36294/jurti.v7i1.3448

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