Article Per Year (5 Year)
p-Index From 2020 - 2025
2.757
P-Index
This Author published in this journals
All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah Jurnal Ilmiah Manajemen dan Bisnis (JIMB) Jurnal Taman Vokasi Jurnal Analisis Bisnis Ekonomi JURNAL REFORMASI ADMINISTRASI Jurnal Ilmiah untuk Mewujudkan Masyarakat Madani Transparansi Jurnal Ilmiah Ilmu Administrasi Jurnal Pendidikan Vokasi Otomotif Abiwara : Jurnal Vokasi Administrasi Bisnis Pattimura International Journal of Mathematics (PIJMath) JMT (Jurnal Matematika dan Terapan) Jurnal Ilmu Administrasi Publik Jurnal Pendidikan Teknik Mesin Journal of Automotive and Mechanical Applied Technology
Sudarwanto, Sudarwanto
Universitas Negeri Yogyakarta
Humanities Automotive Engineering Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Pattimura International Journal of Mathematics (PIJMath)

 1 
Damped Trend Exponential Smoothing and Holt-Winters in Forecasting the Number of Airplane Passengers at Kualanamu Airport Binoto, Rustham Michael; Sudarwanto, Sudarwanto; Santi, Vera Maya
Pattimura International Journal of Mathematics (PIJMath) Vol 4 No 1 (2025): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol4iss1pp29-40

Abstract

Airplanes are one of the most frequently chosen modes of transportation by Indonesians today. Kualanamu Airport is one of the busiest airports in terms of the number of passengers. The number of airplane passengers often fluctuates, increasing and decreasing, so an analysis method is required to predict the number of passengers. This study uses the Double Exponential Smoothing Damped Trend and Multiplicative Holt-Winters models. The number of Kualanamu Airport domestic airplane passengers from January 2006 to December 2023 was used as research data. The best model is then used to forecast the number of Kualanamu Airport domestic airplane passengers for 12 periods from the last data used. The results showed that the Multiplicative Holt-Winters model with smoothing parameters and obtained smaller (Mean Absolute Error) MAE and (Mean Square Error) MSE values of 21415.556 and 961525264.508, compared to the Double Exponential Smoothing Damped Trend model with smoothing parameters,, and which obtained MAE and MSE values of 23612.461 and 1061042411.507 in predicting the number of domestic aircraft passengers at Kualanamu Airport. Forecasting accuracy for the next 12 periods using Holt-Winters Exponential Smoothing produces a MAPE value of 9.2%. It shows the accuracy of forecasting in the very good category.
Co-Authors Ade Firmansyah Ade Imas Rismayati Agustine, Debby Assyodiq, Rizal Beni Setya Nugraha Binoto, Rustham Michael Eric Hermawan Ibnu Hadi Ibnu Hadi Ibnu Siswanto Joko Sriyanto Karnadi Karnadi, Karnadi Khanifah Khanifah Mahatma, Yudi Nur Holisah Nurul Husna Prasetyono, Agus Puji Purwanto Purwanto Rahman, Yoanna Rismayati, Ade Imas Rudiyanto, Atha Fawwaz Sanyoto, Bagus Sayyidi, Sabbihis Sukaswanto Sukaswanto Sundari, Sri Tafakur Tafakur Tambengi, Roike Teguh Santoso Vera Maya Santi Yosep Efendi Zufar, Muhammad Nafidz