@thesis{thesis,
		author={Jatnika  Hendra and Madhika  Yudha Randa and Widiyanto  Max Teja Ajie Cipta},
		title ={Aplikasi Prediksi Jumlah Permohonan Paspor Baru Di Kantor Imigrasi Kelas I TPI Kendari Berbasis Web Dengan Metode Double Exponential Smoothing},
		year={2020},
		url={http://156.67.221.169/4088/},
		abstract={Prediction is a process to predict sequentially and systematically about something that might happen in the future based on past data collection. An increase in the number of applications for the management of passports from the public at the Immigration Office of the TPI Kendari Class I each month that reaches hundreds to thousands of passports, will have an impact on the availability of facilities, infrastructure, and management of passports. In this study, researchers will predict the number of new passport applications at the TPI Kendari Class I Immigration Office with the aim of providing an overview of the number of new passport applications in the future using the Double Exponential Smoothing method. The accuracy calculation is done using Mean Absolute Percentage Error (MAPE). The data used are data on the number of new passport applications as many as 24 data starting from January 2018 to December 2019 obtained from the Immigration Class Office TPI Kendari. The results of data analysis of the number of new passport applications at the TPI Kendari Class I Immigration Office, obtained an increase in the number of new passport applications when compared to the previous year with the parameter value for the Double Exponential Smoothing method is ? = 0.7 and the MAPE value is 26.74%.}
		}