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All Journal The Jurnal Arsip Rekayasa Sipil dan Perencanaan (Journal of Archive in Civil Engineering and Planning) Aceh International Journal of Science and Technology Jurnal Teknik Sipil Journal of The Civil Engineering Student
Fadhlullah Apriandy
Department Of Civil Engineering, Universitas Syiah Kuala, Darusalam, Banda Aceh, Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Engineering Transportation

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MODEL ESTIMASI BANGKITAN PERGERAKAN MODA LAUT MENGGUNAKAN METODE REGRESI LINIER DAN RANDOM FOREST Fadhlullah Apriandy; Sugiarto Sugiarto; Sofyan M Saleh; Lulusi Lulusi
Jurnal Arsip Rekayasa Sipil dan Perencanaan Vol 4, No 4 (2021): Jurnal Arsip Rekayasa Sipil dan Perencanaan
Publisher : Prodi Magister Teknik Sipil Unsyiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jarsp.v4i4.25844

Abstract

The need for people and goods movement across regions have been increasing susbtantially over the years. Sea transportations plays pivotal role in allowing this trans-national movement.The ferry line connecting Langsa, Indonesia and Penang, Malaysia had been established to help people and good across borders, albeit no longer operating. This study aims to estimate trip generation and attraction between these ports and their surrounding areas, and suggest whether this ferry line should reoperate. In doing so, random forest was utilised alongside linear regression model. Random forest has been increasingly popular among researchers in making estimates or preditions, whether calculating numerical or categorical data. To develop both models, historical trip and socio-economics data were employed. It was found that Gross Domestic Regional Product (GDRP) and population significantly affect trip generation and attraction. Both variables shows positive effect on trip generation and attraction: an increase in either should increase trip generation and attraction. Similar to linear regression model, random forest model show an excellent predictive capability. With a sophisticated model incorporating more variables, it is expected that random forest should well exceed linear regression predicitve capability. As population and GDRP are expected to continue to grow, it is suggested that stakeholders should reoperate this Langsa-Penang ferry line.
Co-Authors Angraini, Renni Cut Mutiawati Cut Shilla Sharfina Ferdana, Tera Husen, M Syahrul Isya, M. Lulusi Lulusi M Syahrul Husen M. Isya Muhammad Ridho Maulana Rais, Faisal Renni Anggraini Ruhdi Faisal Setiawan, Farhan Sharfina, Cut Shilla Sofyan M Saleh Sofyan M. Saleh Sofyan M. Saleh Sugiarto Sugiarto Sugiarto Sugiarto yulanda, qory