Forecasting Number of Mountain Bike Demand Requests in Indonesia Using Support Vector Machine
Peramalan Jumlah Permintaan Sepeda Gunung di Indonesia Menggunakan Support Vector Machine
DOI:
https://doi.org/10.21070/ups.1418Keywords:
Forecasting, Time Series, K-means, Support Vector MachineAbstract
Mountain bikes are a model of bicycle development from the first generation of bicycles and currently many bicycle industries have emerged so that their development has accelerated. One of the most influential factors in the development of mountain bikes is that they are supported by bicycles which are no longer a means of transportation but have become a way of life in today's era.
Companies in Indonesia themselves have not been able to meet this because demand for mountain bikes in Indonesia is currently very high and can change with certain conditions so as to meet the needs of bicycles in Indonesia, this final project is forecasting the number of mountain bike requests based on demand in 2018 until the year 2019.
The SVM method was chosen because it has the advantage of solving both linear and non-linear problems so that forecasting can be done with existing patterns.
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