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References
- Airlangga, G., Rachmat, A., & Lapihu, D. (2019). Comparison of exponential smoothing and neural network method to forecast rice production in Indonesia. Telkomnika (Telecommunication Computing Electronics and Control), 17(3), 1367–1375. https://doi.org/10.12928/TELKOMNIKA.V17I3.11768.
- Bojonegoro Health Department. (2020). Bojonegoro Health Office received a 100% predict universal Health Coverage(UHC) in 2020. Bojonegoro Health Department. Accessed from https://dinkes.bojonegorokab.go.id
- BPS Bojonegoro Regency. (2021). Bojonegoro Regency Human Development Index. Bojonegoro: Central Bureau of Statistics of Bojonegoro Regency.
- Dewi, N. L. S., & Sutrisna, I. K. (2012). Pengaruh komponen indeks pembangunan manusia terhadap pertumbuhan ekonomi Provinsi Bali. E-Jurnal Ekonomi Pembangunan Universitas Udayana, 3(3), 76–123.
- Edwards III, G. C. (1980). Implementing Public Policy. Washington D.C: Congressional Quarterly Inc.
- Farida, Y., Sulistiani, D. A., & Ulinnuha, N. (2021). Forecasting the Human Development Index (IPM) of Bojonegoro Regency Using the Double Exponential Smoothing Brown Method. Journal of Theorems: Mathematical Theory and Research, 6(2), 173–183. https://jurnal.unigal.ac.id/index.php/teorema/article/view/5521
- Fauziah, F.N., & Gunaryati, A. (2017). Comparison Forecasting with Double Exponential Smoothing and Artificial Neural Network to Predict the Price of Sugar. International Journal of Simulation: Systems, Science & Technology, 18(4), 1–8. https://doi.org/10.5013/IJSSST.a.18.04.13
- Hansun, S. (2016). A new approach of brown’s double exponential smoothing method in time series analysis. Balkan Journal of Electrical and Computer Engineering, 4(2), 75–78. https://doi.org/10.17694/bajece.14351
- Hyndman, R.J., Koehler, A.B., Snyder, R.D., & Grose, S. (2002). A state space framework for automatic forecasting using exponential smoothing methods. International Journal of Forecasting, 18(3), 439–454. https://doi.org/10.1016/S0169-2070(01)00110-8
- LaViola Jr., J. J. (2003). Double Exponential smoothing: an alternative to kalman filter-based predictive tracking. In EGVE '03: Proceedings of the workshop on Virtual environments 2003. International Immersive Projection Technologies Workshop. 199-206. https://doi.org/10.1145/769953.769976
- Liantoni, F., & Agusti, A. (2020). Forecasting bitcoin using double exponential smoothing method based on mean absolute percentage error. International Journal on Informatics Visualization, 4(2), 91–95. http://dx.doi.org/10.30630/joiv.4.2.335
- Miles, B. M., & Huberman, A. M. (1992). Analisis Data Kualitatif: Buku Sumber tentang Metode Baru. (Translate by Rohidi, T.R, & Mulyarto). Jakarta: Universitas Indonesia Press.
- Ouedraogo, N. S. (2013). Energy consumption and human development : evidence from a panel cointegration and error correction model. Energy, 63(1A), 28–41. https://doi.org/10.1016/j.energy.2013.09.067
- Rana, M., & Koprinska, I. (2016). Neurocomputing forecasting electricity load with advanced wavelet neural networks. Neurocomputing, 182, 118–132. https://doi.org/10.1016/j.neucom.2015.12.004
- Region Development Planning Agency.(2019). Scholarship in Bojonegoro. Bojonegoro Regency Regional Development Planning Agency.
- Regional Development Planning Agency. (2018). Regional Medium-Term Development Plan (RPJMD) of Bojonegoro Regency 2018-2023. Bojonegoro Regency Regional Development Planning Agency.
- Responding to Global Challenges. (2022). The PDTT Village Minister Together with the Regent of Bojonegoro Inaugurate the 2022 Unesa Scholarship. Accessed from https://bojonegorokab.go.id/berita/6439
- Setyowibowo, S., As’ad, M., Sujito., & Farida, E. (2021). Forecasting of Daily Gold Price using ARIMA-GARCH Hybrid Model. Jurnal Ekonomi Pembangunan, 19(2), 257-270. https://doi.org/10.29259/jep.v19i2.13903
- Sugiyono. (2014). Metode Penelitian Kualitatif dan Kuantitatif R & D. Bandung: Alphabeta.
- Syafwan, H., Syafwan, M., Syafwan, E., & Hadi, A. F., Putri, P. (2021). Forecasting unemployment in north sumatra using double exponential smoothing method. Journal of Physics: Conference Series, in Annual Conference on Science and Technology Research (ACOSTER) 2020, 1783 (1), 012008. https://doi.org/10.1088/1742-6596/1783/1/012008
- Teguh, M., & Bashir, A. (2019). Indonesia’s Economic Growth Forecasting. Sriwijaya International Journal of Dynamic Economics and Business, 3(2), 134-145. https://doi.org/10.29259/sijdeb.v3i2.134-145
- Wang, J., Wang, J., Zhang, Z., & Guo, S. (2012). Stock index forecasting based on a hybrid model. Omega, 40(6), 758–766. https://doi.org/10.1016/j.omega.2011.07.008 c
References
Airlangga, G., Rachmat, A., & Lapihu, D. (2019). Comparison of exponential smoothing and neural network method to forecast rice production in Indonesia. Telkomnika (Telecommunication Computing Electronics and Control), 17(3), 1367–1375. https://doi.org/10.12928/TELKOMNIKA.V17I3.11768.
Bojonegoro Health Department. (2020). Bojonegoro Health Office received a 100% predict universal Health Coverage(UHC) in 2020. Bojonegoro Health Department. Accessed from https://dinkes.bojonegorokab.go.id
BPS Bojonegoro Regency. (2021). Bojonegoro Regency Human Development Index. Bojonegoro: Central Bureau of Statistics of Bojonegoro Regency.
Dewi, N. L. S., & Sutrisna, I. K. (2012). Pengaruh komponen indeks pembangunan manusia terhadap pertumbuhan ekonomi Provinsi Bali. E-Jurnal Ekonomi Pembangunan Universitas Udayana, 3(3), 76–123.
Edwards III, G. C. (1980). Implementing Public Policy. Washington D.C: Congressional Quarterly Inc.
Farida, Y., Sulistiani, D. A., & Ulinnuha, N. (2021). Forecasting the Human Development Index (IPM) of Bojonegoro Regency Using the Double Exponential Smoothing Brown Method. Journal of Theorems: Mathematical Theory and Research, 6(2), 173–183. https://jurnal.unigal.ac.id/index.php/teorema/article/view/5521
Fauziah, F.N., & Gunaryati, A. (2017). Comparison Forecasting with Double Exponential Smoothing and Artificial Neural Network to Predict the Price of Sugar. International Journal of Simulation: Systems, Science & Technology, 18(4), 1–8. https://doi.org/10.5013/IJSSST.a.18.04.13
Hansun, S. (2016). A new approach of brown’s double exponential smoothing method in time series analysis. Balkan Journal of Electrical and Computer Engineering, 4(2), 75–78. https://doi.org/10.17694/bajece.14351
Hyndman, R.J., Koehler, A.B., Snyder, R.D., & Grose, S. (2002). A state space framework for automatic forecasting using exponential smoothing methods. International Journal of Forecasting, 18(3), 439–454. https://doi.org/10.1016/S0169-2070(01)00110-8
LaViola Jr., J. J. (2003). Double Exponential smoothing: an alternative to kalman filter-based predictive tracking. In EGVE '03: Proceedings of the workshop on Virtual environments 2003. International Immersive Projection Technologies Workshop. 199-206. https://doi.org/10.1145/769953.769976
Liantoni, F., & Agusti, A. (2020). Forecasting bitcoin using double exponential smoothing method based on mean absolute percentage error. International Journal on Informatics Visualization, 4(2), 91–95. http://dx.doi.org/10.30630/joiv.4.2.335
Miles, B. M., & Huberman, A. M. (1992). Analisis Data Kualitatif: Buku Sumber tentang Metode Baru. (Translate by Rohidi, T.R, & Mulyarto). Jakarta: Universitas Indonesia Press.
Ouedraogo, N. S. (2013). Energy consumption and human development : evidence from a panel cointegration and error correction model. Energy, 63(1A), 28–41. https://doi.org/10.1016/j.energy.2013.09.067
Rana, M., & Koprinska, I. (2016). Neurocomputing forecasting electricity load with advanced wavelet neural networks. Neurocomputing, 182, 118–132. https://doi.org/10.1016/j.neucom.2015.12.004
Region Development Planning Agency.(2019). Scholarship in Bojonegoro. Bojonegoro Regency Regional Development Planning Agency.
Regional Development Planning Agency. (2018). Regional Medium-Term Development Plan (RPJMD) of Bojonegoro Regency 2018-2023. Bojonegoro Regency Regional Development Planning Agency.
Responding to Global Challenges. (2022). The PDTT Village Minister Together with the Regent of Bojonegoro Inaugurate the 2022 Unesa Scholarship. Accessed from https://bojonegorokab.go.id/berita/6439
Setyowibowo, S., As’ad, M., Sujito., & Farida, E. (2021). Forecasting of Daily Gold Price using ARIMA-GARCH Hybrid Model. Jurnal Ekonomi Pembangunan, 19(2), 257-270. https://doi.org/10.29259/jep.v19i2.13903
Sugiyono. (2014). Metode Penelitian Kualitatif dan Kuantitatif R & D. Bandung: Alphabeta.
Syafwan, H., Syafwan, M., Syafwan, E., & Hadi, A. F., Putri, P. (2021). Forecasting unemployment in north sumatra using double exponential smoothing method. Journal of Physics: Conference Series, in Annual Conference on Science and Technology Research (ACOSTER) 2020, 1783 (1), 012008. https://doi.org/10.1088/1742-6596/1783/1/012008
Teguh, M., & Bashir, A. (2019). Indonesia’s Economic Growth Forecasting. Sriwijaya International Journal of Dynamic Economics and Business, 3(2), 134-145. https://doi.org/10.29259/sijdeb.v3i2.134-145
Wang, J., Wang, J., Zhang, Z., & Guo, S. (2012). Stock index forecasting based on a hybrid model. Omega, 40(6), 758–766. https://doi.org/10.1016/j.omega.2011.07.008 c