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All Journal Cerdika: Jurnal Ilmiah Indonesia J-Sil (Jurnal Teknik Sipil dan Lingkungan)
Wisanggeni, Dimas Harya
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Humanities Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Public Health Social Sciences Transportation

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The Assessment of Peak Discharge Increment Due to Land Use Change in the Serang Welahan Drainage 1 (SWD 1) River, Central Java Province, Semarang : English Elisabeth Sitorus, Jessica; Wisanggeni, Dimas Harya; Salsabila, Aulia Aisyah; Nugroho, Eka Oktariyanto; Badri Kusuma, Muhammad Syahril
Jurnal Teknik Sipil dan Lingkungan Vol. 9 No. 2: Oktober 2024
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.9.2.293-302

Abstract

SWD1 River is located in one of those flood-prone areas in Central Java that generates flood hazards causing high risk to the surrounding rice fields and communities. However, a comprehensive study of flood hazards in SWD1 River has never been conducted. Nowadays, previous comprehensive flood studies in Indonesia only available for several very developed areas, such as the Jakarta Flood [1] – [5], Bandung Flood and Solo Flood , or new iconic area for mangrove conservation such as Langsa City . Most previous studies conclude that flood hazards in Indonesia are commonly generated by rain runoff, tides, and dam break flows, or a combination of these generators . Existing conditions show that SWD 1 is unable to accommodate runoff from the Wulan River, causing flooding. Based on rainfall data from BMKG, the maximum rainfall per month for a year reaches 323 mm. This study is an effort to analyze the impact of land use change.The research method used analysis of the influence of changes in CN (Curve Number) due to changes in land use on flood discharge as shown through changes in the Soil Conservation Service (SCS-CN) hydrograph on discharge and runoff volume. The selection of the SCS-CN method is due to its widespread adoption in various regions, its extensive use in numerous analytical studies, and its suitability for the characteristics of the watershed under review.The analysis results show that there has been a change in flood discharge from 2019 and 2022 with values of 366.920 and 371.154 m3/second. The discharge values did not change significantly because the CN values were as follows, 83.25 and 83.36. Through analysis, it can be seen that an increase in discharge of 1.14% from 2011 to 2022.The several alternatives are needed to reduce flooding, such as watershed conservation upstream, minimizing land use changes and building flood mitigation infrastructure downstream.
Koreksi Bias Data Hujan Proyeksi Coupled Model Intercomparison Project Phase 6 (Cmip6) Di Kota Bima Hartawan, I Putu; Ibnu Malik, Muhamad Zaky; Qhairaan, Laifhan Setyo; Wiralino, Ken; Rustiawan, Irfani Zahira; Wisanggeni, Dimas Harya
Cerdika: Jurnal Ilmiah Indonesia Vol. 5 No. 1 (2025): Cerdika: Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v5i1.2438

Abstract

Perubahan iklim global telah memengaruhi pola curah hujan, khususnya di wilayah tropis, termasuk Kota Bima. Model proyeksi iklim seperti Coupled Model Intercomparison Project Phase 6 (CMIP6) menyediakan data penting untuk memprediksi perubahan iklim, namun sering kali mengandung bias yang signifikan. Penelitian ini bertujuan untuk melakukan koreksi bias pada data proyeksi curah hujan CMIP6 menggunakan lima model dalam skenario SSP5-8.5, yaitu CMCC-CM2-SR5, CESM2-WACCM, ACCESS-CM2, CESM2, dan AWI-CM-1-1-MR, dengan mengintegrasikan data historis dari Global Precipitation Climatology Centre (GPCC) dan data lokal dari BMKG. Hasil penelitian menunjukkan bahwa data historis GPCC memiliki korelasi yang sangat kuat dengan data BMKG, dengan nilai koefisien korelasi sebesar 0,97 dan RMSE sebesar 34,41 mm. Hasil koreksi bias data proyeksi menunjukkan bahwa empat model (CESM2-WACCM, ACCESS-CM2, CESM2, dan AWI-CM-1-1-MR) memiliki pola tren yang serupa berdasarkan analisis Weibull plotting. Sementara itu, model CMCC-CM2-SR5 menunjukkan penyimpangan pola yang signifikan. Implikasi penelitian ini adalah meningkatkan akurasi proyeksi curah hujan untuk mendukung perencanaan mitigasi risiko bencana dan pengelolaan sumber daya air di Kota Bima. Penelitian ini juga membuka peluang untuk pengembangan metode koreksi bias yang lebih efisien dengan mengintegrasikan teknologi pembelajaran mesin dan data lokal yang lebih rinci.
Co-Authors Badri Kusuma, Muhammad Syahril Eka Oktariyanto Nugroho Elisabeth Sitorus, Jessica Hartawan, I Putu Ibnu Malik, Muhamad Zaky Qhairaan, Laifhan Setyo Rustiawan, Irfani Zahira Salsabila, Aulia Aisyah Wiralino, Ken