Skip to search formSkip to main contentSkip to account menu
DOI:10.35877/454ri.qems2718 - Corpus ID: 270939461
@article{Ahmar2024TheIO, title={The Implementation of Holt-Winters Method to Forecast the Loan Interest Rate of Indonesia}, author={Ansari Saleh Ahmar and Abdul Rahman and Mohd. Rizal Mohd. Isa and Rahmat Hidayat}, journal={Quantitative Economics and Management Studies}, year={2024}, url={https://api.semanticscholar.org/CorpusID:270939461}}- A. Ahmar, Abdul Rahman, Rahmat Hidayat
- Published in Quantitative Economics and… 23 June 2024
- Economics, Business
This study aimed to anticipate the rupiah loan interest rates at commercial banks in Indonesia by employing the Holt-winters method. This study employs data on rupiah loan interest rates from commercial banks in Indonesia. The data comprises a time series element, with monthly intervals spanning from January 2013 to November 2015, which was obtained from the official website of BPS Indonesia. The study demonstrates that the Holt-winters technique yields the most accurate forecasts, as indicated…
Figures and Tables from this paper
- figure 1
- table 2
- figure 2
14 References
- A. Saleh AhmarEva Boj del ValM. A. El SaftySami Saleh AlzahraniHamed El-Khawaga
- 2022
Medicine
The results of the study showed that the accuracy level of SutteARIMA method in predicting Infant Mortality rate in Indonesia was smaller than the other three forecasting methods, specifically the ARIMA (0.046) and the NNAR (1.2).
- 3
- Highly Influential[PDF]
- O. TrullJ. García-DíazA. Troncoso
- 2020
Engineering, Environmental Science
Applied Sciences
The parameters space of the multiple seasonal Holt-Winters models applied to electricity demand in Spain is analysed and discussed, showing the influence of the calendar effect on these parameters and if it is necessary or not to update them in order to obtain a good accuracy over time.
- 19 [PDF]
- S. LimaA. Manuela GonçalvesM. Costa
- 2019
Economics
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF…
This study deals with forecasting economic time series that have strong trends and seasonal patterns. How to best model and forecast these patterns has been a long-standing issue of time series…
- 23
- PDF
- S. MardianaF. SaragihM. Huseini
- 2020
Environmental Science, Economics
International Journal of Energy Economics and…
Fuel is an essential commodity in both the economy and society. Indonesian fuel demand continues to increase annually, whereas fuel production has decreased. Gasoline accounts for more than 50% of…
- S. K. BhagatTiyashaK. Ramaswamy
- 2023
Environmental Science, Geography
IOP Conference Series: Earth and Environmental…
Precipitation played a vital role in the landslide events, water cycle, irrigation management, agriculture yield. The major factor is the extreme weather such as temperature played a vital role in…
- 1
- PDF
- Xixun ZhuZhixin SongGan SenM. TianYanling ZhengBing Zhu
- 2022
Environmental Science, Engineering
Scientific reports
Xinjiang is an important power production base in China, and its electric energy production needs not only meet the demand of Xinjiang's electricity consumption, but also make up for the shortage of…
- 3
- PDF
- Chunhang Chen
- 1996
Mathematics
The Holt-Winters method has been widely used to forecast a seasonal time series in application fields as a nonparametric forecasting technique. In this paper, we investigate the asymptotic forecast…
- 3
- PDF
- C. CordeiroM. Neves
- 2012
Mathematics, Computer Science
The algorithm (Boot. EXPOS) using exponential smoothing and bootstrap methodologies, has showed promising results for forecasting time series with one seasonal pattern and a new challenge was now to combine these seasonal methods with bootstrap and carry over a similar resampling scheme used in Boot.EXPOS procedure.
- 1
- Regi Muzio Ponziani
- 2021
Business
IJEBD (International Journal of Entrepreneurship…
Purpose: This research purports to forecast the number of foreign tourists arriving at major airport in Indonesia. The airports chosen are Soekarno Hatta, Juanda, I Gusti Ngurah Rai, and Kualanamu…
- Gede Eridya BayuI. K. G. Darma PutraNi kadek Dwi Rusjayanthi
- 2021
Computer Science, Medicine
Jurnal Ilmiah Merpati (Menara Penelitian…
The results obtained are that the backpropagation method is better at predicting dog bite case data with an average MAPE error rate of 11.59%, while the holt-winters method has an averageMAPE error rates of 16.05%, and the polynomial regression method has the highest average error rate.
...
...
Related Papers
Showing 1 through 3 of 0 Related Papers
