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All Journal G-Couns: Jurnal Bimbingan dan Konseling Optimal: Jurnal Ekonomi dan Manajemen UNP Journal of Statistics and Data Science Journal Of Informatics And Busisnes Bhinneka: Jurnal Bintang Pendidikan dan Bahasa Mengabdi: Jurnal Hasil Kegiatan Bersama Masyarakat Advances in Management & Financial Reporting Jurnal Pengabdian Masyarakat Mandira Cendikia (JPKM-MC)
Silvia Agustina
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Journal : UNP Journal of Statistics and Data Science

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Rainfall Forcasting in Medan City Using Singular Spectrum Analysis (SSA) Silvia Agustina; Fadhilah Fitri; Dodi Vionanda; Admi Salma
UNP Journal of Statistics and Data Science Vol. 1 No. 3 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol1-iss3/52

Abstract

Singular spectrum analysis is a time series analysis that can be used for data that has seasonal effects. Rainfall is one example that has a seasonal effect. High rainfall has an impact on natural disasters such as floods. Medan city is the capital city of North Sumatra province which has quite high rainfall and is a lowland area, so it has the potential for flooding. Rainfall forecasting can be done as disaster mitigation. The forecasting method used is SSA. The MAPE forecasting accuracy value obtained is 15.5% and the tracking signal is within tolerance limits, so that it can be concluded that the forecasting is done well.
Co-Authors Admi Salma Adriansyah Adriansyah Ahman Aminah Aminah Dewi Wulansari Dodi Vionanda Eka Sakti Yudha Eko Ribawati Fadhilah Fitri Firman Tatariyanto Intan Permata Sari Isyanto, H. Puji Lea Amanda Sari Lendra Yenti M. Ayi Nuriani Mamat Supriatna Moh. Hamdani Indra Saputra MUYASSAROH Muzakir Nur Diana Khalida Sukma Pebri Apriyansyah Renaldy Nur Hidayatullah Rizka Amalia Saifuddin Saifuddin Salwa Sabrina Sela Marselina Siti Nasihatul Magfiroh Sukron M, Imam Uman Suherman Winna Sarikusumaningtyas