How to cite: Pyanto. F., Mulia, A. P., & Surbakti, M. S. (2021) Pemetaan Banjir Rob Wilayah Medan Utara Menggunakan Regresi Logistik dan GIS. Syntax Literate: Jurnal Ilmiah Indonesia, 6(9). http://dx.doi.org/10.36418/ syntax-literate.v6i9.1579 E-ISSN: 2548-1398 Published by: Ridwan Institute Syntax Literate: Jurnal Ilmiah Indonesia p–ISSN: 2541-0849 e-ISSN: 2548-1398 Vol. 6, No. 9, September 2021 PEMETAAN BANJIR ROB WILAYAH MEDAN UTARA MENGGUNAKAN REGRESI LOGISTIK DAN GIS Farino Pyanto, Ahmad Perwira Mulia, Medis S. Surbakti Program Studi Magister Teknik Sipil Universitas Sumatera Utara (USU) Indonesia Email: farino.pyanto@gmail.com, a.perwira@usu.ac.id, medis@usu.ac.id Abstrak Perlunya memetakan zona terancam banjir rob berdasarkan faktor-faktor penyebab banjir rob di wilayah Medan Utara sebagai dasar bagi stakeholder dalam rangka penanganan banjir rob. Indikator kerawanan terhadap banjir rob mencakup curah hujan, kerapatan drainase, tata guna lahan, jarak ke sungai, jenis tanah, elevasi, kemiringan, aspek, jarak ke muara. Analisis data menggunakan GIS dan regresi logistik. Lokasi penelitian adalah kecamatan Belawan, Marelan dan Labuhan. Hasil analisis yang didapat, yaitu faktor curah hujan, drainage density, elevasi, jarak ke muara, aspek berpengaruh terhadap kerawanan banjir rob. Sedangkan indikator land use, jenis tanah, jarak ke sungai, kemiringan tidak berpengaruh terhadap kerawanan banjir rob. Hasil analisis menunjukkan peringkat indikator yang mempengaruhi terhadap kerawanan banjir rob dari pertama sampai sembilan adalah jarak ke muara, elevasi, aspek, jarak ke sungai, jenis tanah, land use, kemiringan, curah hujan dan drainage density. Jumlah sampel 126 dengan 9 faktor didapat ketepatan model penelitian sebesar 93,7%. Sementara, sampel 209 dengan 9 faktor didapat ketepatan model penelitian sebesar 86,1%. Jumlah sampel 126 dengan 2 faktor didapat ketepatan model penelitian sebesar 92,1%. Sementara, sampel 209 dengan 7 faktor didapat ketepatan model penelitian sebesar 86,1%. Kata Kunci: banjir rob; regresi logistik; GIS. Abstract The need to be based on the tidal flood hazard zone based on the factors that cause tidal flooding in the North Medan area as the basis for stakeholders in the context of handling tidal flooding. Indicators of vulnerability to tidal flooding include rainfall, drainage density, land use, distance to the river, soil type, elevation, slope, aspect, distance to the estuary. Data analysis using GIS and logistic regression. The research location is Belawan, Marelan and Labuhan sub-districts. The results of the analysis obtained, namely rainfall factors, drainage density, altitude, distance to the estuary, affect tidal flood vulnerability. While the indicators of land use, soil type, distance to the river, slope have no effect on tidal flood vulnerability. The results of the analysis show that the ranking of indicators that affect tidal flood vulnerability from first to nine are distance to the estuary, elevation, aspect, distance to the river, soil type, land use, slope, rainfall and drainage density. The number of samples was 126 with 9 factors, the accuracy of the research model was 93.7%. Meanwhile, the sample is 209 with 9 factors, the accuracy of the research