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All Journal Media Komunikasi Geografi INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Makara Journal of Technology GeoEco
Hadi, Mohammad Pramono
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Pengaruh Perubahan Penggunaan Lahan terhadap Limpasan Menggunakan Multidata Iklim Satelit di Sub DAS Samin Ramadhani, Endi; Suprayogi, Slamet; Hadi, Mohammad Pramono
Media Komunikasi Geografi Vol 22, No 1 (2021)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v22i1.30589

Abstract

Sub DAS Samin sebagai bagian dari DAS Bengawan Solo, termasuk dalam 15 DAS kritis prioritas nasional. Banyak kajian hidrologi yang telah menunjukkan adanya perubahan respon hidrologi akibat perubahan penggunaan lahan. Salah satu pendekatan dalam menilai tingkat kekritisan dan respon hidrologi DAS adalah dengan mengkaji kondisi limpasan dengan pemodelan hidrologi SWAT. Namun di sisi lain, dari banyak kajian pemodelan hidrologi yang ada, masih terbatas pada penggunaan data iklim observasi; sedangkan pemanfaatan multidata iklim satelit dengan model hidrologi SWAT, telah menunjukkan potensi akurasi kajian hidrologi DAS yang baik. Tiga dasar tujuan penelitian di Sub DAS Samin antara tahun 2004 dan 2013 yaitu menganalisis persebaran dan perubahan penggunaan lahan, menganalisis akurasi hasil simulasi limpasan menggunakan data grid iklim satelit dan menganalisis pengaruh perubahan penggunaan lahan terhadap limpasan. Metode penelitian yang digunakan adalah deskriptif analitik dengan pemodelan SWAT, identifikasi kondisi lapangan, serta analisis korelasi Pearson. Hasil penelitian menunjukkan bahwa tipe penggunaan lahan di Sub DAS Samin antara tahun 2004 dan 2013, memiliki persebaran yang beragam dan bersifat heterogen, dengan hasil interpretasi menunjukkan tren perubahan vegetasi rapat berukuran besar ke vegetasi rendah berukuran sedang, yang dipicu oleh adanya pemanfaatan lahan intensif. Dari lima jenis dataset curah hujan satelit, data TRMM memiliki akurasi terbaik, karena kecocokan spesifikasi data dengan tipologi Sub DAS Samin sebagai kawasan DAS beriklim tropis. Tidak signifikannya pengaruh perubahan penggunaan lahan terhadap limpasan di Sub DAS Samin, secara teknis pemodelan disebabkan oleh adanya ketidakpastian hasil analisis model dan secara teoritis hidrologi disebabkan oleh perbedaan tata perlakuan/sistem manajemen pada masing-masing tipe penggunaan lahan dalam satuan lahan yang sama.
The Knowledge-Based Analysis on Medium Resolution Images of Remote Sensing to Extraction Information Land use Type SCS-CN, the Case Study on Grompol Watershed Raharjo, Puguh Dwi; Gunawan, Totok; Hadi, Mohammad Pramono
Makara Journal of Technology Vol. 20, No. 2
Publisher : UI Scholars Hub

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Abstract

Remote sensing imagery Landsat-8 is one image that has a good temporal resolution; in addition to the availability of data, this image can be obtained free of charge. Land cover type SCS-CN is part of a unit of land that affects runoff. The use of medium resolution imagery in reducing the SCS-CN land use type is considered relatively difficult, and it yields less good accuracy. Limitations on multispectral classification only rely on facts derived from spectral reflection, so that the two data are the same since different characteristic results are not so good. This study aims to determine the accuracy of precision medium-resolution imagery in reducing parameter land use type SCS-CN by using the knowledge-based analysis. The importance of understanding the landscape-ecology can be used to assist the translation from land cover in the form of land use. Vegetation factors and ecosystems are often used to generate metrics-based landscape. Accuracy from the interpretation of remote sensing image medium-resolution is obtained by 85.17%. Therefore, Landsat-8, in addition to easy retrieval of data, can also be used to identify the type of land cover SCS-CN, which is useful for the interests of surface water resources.
Geographic Information Systems Application to Drought Distribution Identification with Standardized Precipitation Index (SPI) Method in Trenggalek Regency Utama, Aditya; Hadi, Mohammad Pramono; Nurjani, Emilya
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 2 (2021): August 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (662.54 KB) | DOI: 10.29407/intensif.v5i2.15645

Abstract

The widespread drought area in Trenggalek Regency in 2019 needs to be analyzed to reduce negative impacts and as a monitoring tool to anticipate future drought events. The Standardized Precipitation Index (SPI) is a drought analysis method by calculating the rainwater deficit at various time scales used to identify the distribution of drought in Trenggalek Regency. This study using rain data on 13 rain stations for the period 1990-2019 and agricultural production data for 2019. The calculation results show that the highest SPI value occurred in March at the highly wet level with a value of 2.11. The lowest SPI value occurred in May at the extremely dry level with a value of -2.31. The results are then mapped using ArcGIS with the Inverse Distance Weighted (IDW) method to identify the spatial distribution of drought.
SCS-CN MODEL FOR QUANTIFYING SURFACE RUNOFF POTENTIAL IN THE ECOREGION SEGMENTATION OF BANTUL REGENCY Isnaini, Faridah Nur; Lismadanti, Alfina; Fiore, Katyusha; Fauziah, Lisa Mustafidatul; Girsang, Michelle Ruth Boru; Athaya, Muhammad Farhan; Budiman, Satrio; Nugroho, Tuhu Satrio; Hadi, Mohammad Pramono
GeoEco Vol 10, No 2 (2024): GeoEco July 2024
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v10i2.87132

Abstract

The role of surface air is pivotal within the framework of human livelihoods, necessitating a thorough examination of the potentiality inherent in surface water resources. This study aims to ascertain the estimations of surface runoff potential within Bantul Regency for the year 2020, serving as a watershed area, employing the Soil Conservation Service-Curve Number (SCS-CN) model grounded in ecoregion segmentation. Empirical data pertaining to spatial distribution of rainfall, soil types, and land use are meticulously analyzed to delineate hydrological soil group (HSG) and corresponding curve numbers (CN). The geospatial integration of these datasets is overlaid, facilitating landform mapping. Notably, the CN values are predicated upon three distinct Antecedent moisture conditions (AMC), delineated as AMC I, II, III denoting dry, normal, and wet conditions, respectively. The research findings reveal that surface runoff volume within Bantul Regency is predominantly concentrated within the landform expanse characterized as F2-Qmi, registering at 119,971,277.78 m3 during the rainy season and 376,473 m3 during the dry season. By contrast, the lowest runoff volume is observed in M1-Qa, amounting to 126,811.85 m3 during the rainy season and 0.61 m3 during the dry season. To ensure the availability of potential surface runoff influenced by various ecoregions, it is essential to conduct detailed mapping, implement ecosystem conservation, construct reservoirs in dry areas, and engage communities through education and supportive zoning policies for sustainable water management.
Co-Authors Aditya Utama Athaya, Muhammad Farhan Budiman, Satrio Emilya Nurjani Fauziah, Lisa Mustafidatul Fiore, Katyusha Girsang, Michelle Ruth Boru Isnaini, Faridah Nur Lismadanti, Alfina Nugroho, Tuhu Satrio Puguh Dwi Raharjo Ramadhani, Endi Slamet Suprayogi Totok Gunawan