Forecasting Analysis of Agen Jatim Branch Tuban Performance
Analisis Forecasting Kinerja Agen Jatim Cabang Tuban
DOI:
https://doi.org/10.21070/ups.5596Keywords:
Financial Inclusion, in Banking, ProductAbstract
Branchless banking is one of the branchless financial services within the framework of financial inclusion. This research aims to understand and describe the role product of the Bank Jatim branchless banking, known as the Agen Jatim, through the financial performance of the Agen Jatim branch Tuban in terms of the number of agents, amount of saving, and NoA (Number of Amount). The research uses quantitative methods by collecting agent data from 2021-2023, then forecasting analysis is carried out regarding the performance of East Java Agents, Tuban Branch, using the ARIMA method. The expected results of this research are to find out the financial performance results of the Tuban Branch of the East Java Agent for the period January 2024.
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References
K. D. Andayani, S. Muljaningsih, and K. Asmara, “Analisis Struktur Ekonomi dan Identifikasi Sektor Unggulan Kabupaten Tuban,” Al-Buhuts, vol. 17, no. 1, pp. 52–64, 2021, doi: 10.30603/ab.v17i1.2238.
Yaneke Pingkan Boyoh and Romulo Sinabutar, “Analysis of Financial Statements to Determine The Financial Performance of The Company,” J. Ekon., vol. 14, no. 2b, pp. 1–13, 2021.
H. Park and J. D. Kim, “Transition Towards Green Banking : Role of Financial Regulators and Financial Institutions,” Asian J. Sistainability Soc. Responsib., vol. 5, no. 5, pp. 1–25, 2020.
J. W. Lee, “Green Finance and Sustainable Development Goals : The Case of China,” J. Asian Financ. Econ. Bus., vol. 7, no. 7, pp. 577–586, 2020, doi: 10.13106/jafeb.2020.vol7.no7.577.
M. Kryshtanovych, R. Shulyar, M. Svitlyk, O. Zorya, and N. Fatiukha, “Theoretical and Methodological Approaches to The Formation of A Model for Increasing The Efficiency of The System for Ensuring The Economic Security of A Banking Institution,” Financ. Credit Act. Probl. Theory Pract., vol. 2, no. 49, pp. 56–64, 2023.
M. M. Islam, “Financial Inclusion as the Driver of Poverty Alleviation in Developing Economies : Evidence from Bangladesh,” BIGM J. Policy Anal., vol. 1, no. 1, pp. 107–119, 2023.
D. H. Vo, N. T. Nguyen, and L. T. Van, “Financial Inclusion and Stability in The Asian Region using Bank-Level Data,” Borsa istanbul Rev., vol. 21, no. 1, pp. 36–43, 2021, doi: 10.1016/j.bir.2020.06.003.
BPS, “Indonesia dalam Angka,” 2022. https://www.bps.go.id
F. Santi and A. R. Sari, “PERANAN PELAYANAN AGEN BRILINK DALAM KELANCARAN PEREKONOMIAN MASYARAKAT DI DESA AIR MOLEK,” J. Ekon. Manaj. dan Akunt., vol. 1, no. 5, pp. 110–117, 2023.
D. Yulianti and D. S. H, “Analisis Bagi Hasil Brilink dan Jenis Perjanjian Brilink dalam Mekanisme Layanan Keuangan Tanpa Kantor ( Studi Kasus Agen Brilink di Desa Sukasari dan Desa Gandasari Kecamatan Kadupandak ),” J. Akunt. Kompetif, vol. 5, no. 3, pp. 260–269, 2022.
T. W. Sutanto and T. Widiyastuti, “Peran Inklusi Keuangan Berkaitan dengan Produktifitas UMKM yang Menjadi Agen46 PT Bank Negara Indonesia ( Persero ) Tbk Kantor Cabang Blitar,” J. Penelit. Manaj. Terap., vol. 5, no. 2, pp. 116–127, 2020.
A. Omar and K. Inaba, “Does financial inclusion reduce poverty and income inequality in developing countries ? A panel data analysis,” J. Econ. Struct., vol. 9, no. 37, pp. 1–25, 2020, doi: 10.1186/s40008-020-00214-4.
OJK, “Survei Nasional Literasi Keuangan Tahun 2022,” 2022. https://ojk.go.id/id
K. Ratnawati, “The Impact of Financial Inclusion on Economic Growth , Poverty , Income Inequality , and Financial Stability in Asia,” vol. 7, no. 10, pp. 73–85, 2020, doi: 10.13106/jafeb.2020.vol7.no10.073.
B. Indonesia., “Booklet Keuangan Inklusif,” 2020. https://www.bi.go.id/id/fungsi-utama/stabilitas-sistem-keuangan/keuangan-inklusif/default.aspx
K. Bi, L. Xie, H. Zhang, X. Chen, X. Gu, and Q. Tian, “Accurate Medium-Range Global Weather Forecasting with 3D Neural Networks,” J. Nat., vol. 619, pp. 533–538, 2023, doi: 10.1038/s41586-023-06185-3.
T. Januschowski et al., “Criteria for classifying forecasting methods,” Int. J. Forecast., vol. 36, no. 1, pp. 167–177, 2020, doi: 10.1016/j.ijforecast.2019.05.008.
A. Dinarjito, “Penyusunan Forecasting Laporan Keuangan Menggunakan Weighted Moving Average Dan Penilaian Penyertaan Modal Negara Pada BUMN Konstruksi,” J. Pajak dan Keuang. Negara, vol. 4, no. 1, pp. 147–165, 2022, doi: 10.31092/jpkn.v4i1.1766.
S. Forecasting, P. Produksi, D. Metode, and B. Indonesia, “NUSANTARA : Jurnal Ilmu Pengetahuan Sosial SINGLE EKSPONENSIAL SMOOTHING PADA PT . FOOD,” vol. 9, no. 2, pp. 909–920, 2022.
A. Nariman and A. O. Massidy, “Analisa Rasio Keuangan Untuk Mengukur Kinerja Usaha Pada PT. Trans Alam Semesta,” Seri Semin. Nas. IV Univ. Taruma Negara, pp. 1021–1028, 2022.
M. Adiningsih, D. Yulianti, and A. Wibowo, “Analisis Penerapan Forecasting dalam Menentukan Kebutuhan Storage pada Pusat Data Kementerian Keuangan,” J. Ris. Sains dan Teknol., vol. 7, no. 2, pp. 229–237, 2023, doi: 10.30595/jrst.v7i2.17579.
L. Qadrini, Asrirawan, N. Mahmudah, M. Fahmuddin, and I. F. Amri, “Forecasting Bank Indonesia Currency Inflow and Outflow Using ARIMA, Time Series Regression (TSR), ARIMAX, and NN Approaches in Lampung,” J. Mat. Stat. dan Komputasi, vol. 17, no. 2, pp. 166–177, 2020, doi: 10.20956/jmsk.v17i2.11803.
A. D. Milniadi and N. O. Adiwijaya, “Analisis Perbandingan Model ARIMA dan LSTM dalam Peramalan Harga Penutupan Saham,” J. Ilm. Bid. Sos. Ekon. Budaya, Teknol. dan Pendidik., vol. 2, no. 6, pp. 1683–1692, 2023.
A. Tutupoho, A. A. Laitupa, and U. Duwila, “Analisis Peramalan Pertumbuhan Ekonomi Di Provinsi Maluku Dengan Metode Arima,” Manag. Stud. Entrep. J., vol. 5, no. 2, pp. 6187–6195, 2024.
D. Chang and H. Hu, “Mining Gender Parity Patterns in STEM by Using ARIMA Model,” ICID Express Lett., vol. 10, no. 2, pp. 105-112`, 2019, doi: 10.24507/icicelb.10.02.105.
M. H. Asnawi, S. A. Hasanah, V. M. Gizela, A. E. Hasana, and T. Toharudin, “Aplikasi ARCH / GARCH dalam Prediksi Harga Saham PT Kimia Farma ( Persero ) Tbk,” Semin. Nas. Stat. Online, 2021, doi: 10.1234/pns.v10i.72.
F. Mohammad and R. Gupta, “ARIMA and NAR based Prediction Model for Time Series Analysis of COVID-19 Cases in India,” J. Saf. Sci. Resil., vol. 1, pp. 12–18, 2020, doi: 10.1016/j.jnlssr.2020.06.007.
S. Adebanjo, P. Sibeate, and E. Ehinmilorin, “Predicting Inflation Rate in Nigeria and Ghana Using a Suitable Autoregressive Integrated Moving Average (ARIMA),” Int. J. Stat. Appl. Math., vol. 7, no. 4, pp. 160–164, 2022.
A. A. Chaudhary, N. Nazir, A. Riaz, N. Sadiq, and N. Riaz, “AUTOCORRELATION: WHAT HAPPENS IF THE ERROR OR DISTURBANCE TERMS ARE CORRELATED IN TIME-SERIES DATA,” Compet. Educ. Res. J., vol. 3, no. 2, pp. 154–163, 2022.
Abdurohim and Purwoko, “Peningkatan Layanan Laku Pandai dalam Rangka Menurunkan Kemiskinan,” OSF Prepr., pp. 1–19, 2022, doi: https://doi.org/10.31219/osf.io/yvp7a.
A. Roza, E. S. Violita, and S. Aktivan, “Study of Inflation using Stationary Test with Augmented Dickey Fuller & Phillips-Peron Unit Root Test (Case in Bukittinggi City Inflation for 2014-2019),” Eksakta Berk. Ilm. Bid. MIPA, vol. 23, no. 02, pp. 106–116, 2022.
P. Angreni1, R. Fitriani, and S. Astutik, “Forecasting Non-Stationary Time Series with The Multiscale Autoregressive ( MAR ) Model Approach Using the Haar Wavelet Filter at the Rupiah Exchange Rate Against the Dollar,” J. Phys. Conf. Ser., 2020, doi: 10.1088/1742-6596/1811/1/012094.
J. Mohamed, “Time Series Modeling and Forecasting of Somaliland Consumer Price Index : A Comparison of ARIMA and Regression with ARIMA Errors,” Am. J. Theor. Appl. Stat., vol. 9, no. 4, pp. 143–153, 2020, doi: 10.11648/j.ajtas.20200904.18.
I. G. N. Agung, Quantile Regression, First publ. John Wiley & Sons Ltd, 2021.
S. T. E. Tendur, V. V. Hutabarat, and S. S. X. Tumbelaka, “Price Perception , Service Quality and Customer Satisfaction (Empirical Study on Cafes at Tondano City),” Int. J. Tour. Hosp. Asia Pasific, vol. 4, no. 3, pp. 19–31, 2021.
V. I. K. Dewi and D. S. Rusandy, “Analisis Layanan Branchless Banking Terhadap Number Of Account (Noa) Dan Customer Satisfaction (Studi tentang Layanan BNI Agen46 Kantor Cabang Kediri),” Otonomi, vol. 21, no. 2, pp. 341–345, 2021.
I. B. B. Mahayana, I. Mulyadi, and S. Soraya, “Peramalan Penjualan Helm dengan Metode ARIMA (Studi Kasus Bagus Store),” J. Inferensi, vol. 5, no. 1, pp. 45–50, 2022, doi: 10.12962/j27213862.v5i1.12469.
Budi Sasongko, S. Harnani, and S. Bawono, “Value-added Agriculture , Investment , and Infrastructure Development in the Indonesian Economy : VECM Approach,” Asia Pasific J. Manag. Educ., vol. 5, no. 2, pp. 26–37, 2022.
Y. Dwinata, B. Pramusintho, Firmansyah, and F. Hoesni, “Model Peramalan Harga Telur Ayam Ras di Pasar Tradisional dan Modern Kota Jambi,” J. Econ. Bus., vol. 6, no. 1, pp. 372–382, 2022, doi: 10.33087/ekonomis.v6i1.521.
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