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All Journal Media Ilmiah Teknik Sipil Jurnal Edukasi Pengabdian Masyarakat: EDUABDIMAS
Ronny Eka Putra
Politeknik Negeri Padang
Religion Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Environmental Science

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Proyeksi Hidrograf Banjir Berdasarkan Data Curah Hujan Dan Tutupan Lahan DAS Dayeuhkolot: Flood Hydrograph Projection Based On Rainfall And Land Cover Data In The Dayeuhkolot Watershed Ronny Eka Putra; Faizal Immaddudin Wira Rohmat; Dhermi Harlan; Rangga Fernando; Verryn Aisha Uzhelia; Sicilia Afriyani; Wiliya Wiliya
Media Ilmiah Teknik Sipil Vol. 14 No. 2 (2026): Media Ilmiah Teknik Sipil
Publisher : ​Institute for Researches and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/mits.v14i2.12635

Abstract

Flooding is a frequent hydrometeorological disaster in the Dayeuhkolot Watershed, a sub-watershed of the Citarum River Basin, caused by high rainfall intensity and land cover changes. This study aims to project flood hydrographs in the Dayeuhkolot Watershed based on satellite rainfall data and land cover changes up to the year 2100. Rainfall data were obtained from GSMaP for the period 2018–2022 and calibrated using the quantile mapping method to match observed rainfall characteristics, while river discharge data were collected from the AWLR monitoring station operated by PJT II. Land cover analysis was conducted using Sentinel-2 imagery for the period 2017–2021 and projected to the year 2100 using the Malaccha method. Rainfall–runoff modeling was performed using the HEC-HMS software with the Soil Conservation Service (SCS) Synthetic Unit Hydrograph method. Model performance was evaluated using Nash–Sutcliffe Efficiency (NSE) and Root Mean Square Error (RMSE). The results show that out of 12 flood events analyzed, six models met the performance criteria with NSE values greater than 0.36. Land cover projections to 2100 indicate minor changes in forest areas, leading to an increase in the Curve Number value from 76.90 to 77.00, which resulted in a 0.33% increase in peak flood discharge from 2021 to 2100. These findings demonstrate that land cover changes influence flood hydrograph characteristics and can serve as a basis for flood mitigation planning in the Dayeuhkolot Watershed.
PENINGKATAN LITERASI BENCANA HIDROMETEOROLOGI DALAM MEMBENTUK GENERASI MUDA SADAR LINGKUNGAN DI SMAN 17 PADANG Eri Stiyanto; Wiliya Wiliya; Nurfaijah Nurfaijah; Ronny Eka Putra; Suhendrik Hanwar
Jurnal Edukasi Pengabdian Masyarakat Vol 5 No 2 (2026): APRIL 2026
Publisher : FIP UNIRA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36636/eduabdimas.v5i2.9364

Abstract

The technical understanding of the younger generation regarding hydrometeorological disaster mitigation remains low despite their high concern for the climate crisis. The Aie Pacah area in Padang has a high flood risk due to land conversion, which peaked during the massive flood in November 2025. Students of SMAN 17 Padang in this area are both a vulnerable group and future policy makers. This Community Service (PkM) program aims to improve students' disaster literacy through interactive visual education, including water cycle animations and land cover satellite imagery. Evaluation was measured using a Pre-Test and Post-Test. Data analysis of 30 participants using the Paired Sample T-Test showed a significant increase in understanding (Sig. 0,000 < 0,05) with an average margin increase of 30,70 points. Furthermore, the N-Gain Score test reached 0,722 (high category), proving that this digital visual education method is effective. This activity successfully corrected students' perceptions that floods are often triggered by human actions, providing them with a basic foundation to support Disaster Risk Reduction (DRR) policies in the future.
Co-Authors Dhermi Harlan Eri Stiyanto Faizal Immaddudin Wira Rohmat Nurfaijah Nurfaijah Rangga Fernando Sicilia Afriyani Suhendrik Hanwar Verryn Aisha Uzhelia Wiliya Wiliya