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All Journal Teknik Sipil dan Arsitektur Jurnal Mahasiswa Jurusan Teknik Pengairan Jurnal Teknik Sipil dan Arsitektur
Partarini, Ni Made Candra
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Civil Engineering, Building, Construction & Architecture

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VALIDASI DATA CURAH HUJAN TRMM (TROPICAL RAINFALL MEASUREMENT MISSION) SEBAGAI ALTERNATIF DATA HIDROLOGI DI SUB-DAS LESTI Partarini, Ni Made Candra; Suhartanto, Ery; Harisuseno, Donny
Jurnal Mahasiswa Jurusan Teknik Pengairan Vol 2, No 2 (2019)
Publisher : Jurusan Teknik Pengairan, Fakultas Teknik, Universitas Brawijaya

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Abstract

ABSTRAK : Ketersediaan data hidrologi menjadi salah satu permasalahan dalam perencanaan bangunan air di beberapa daerah. TRMM (Tropical Rainfall Measurement Mission) merupakan salah satu misi NASA untuk melakukan pemantauan dan mempelajari curah hujan tropis dengan menggunakan teknologi satelit pemantau cuaca yang dapat menjangkau berbagai daerah di bumi. Analisis validasi dilakukan untuk mengetahui kesesuaian data curah hujan TRMM dengan curah hujan wilayah, sehingga dapat digunakan sebagai data hidrologi alternatif. Sub DAS Lesti digunakan sebagai studi kasus dengan pertimbangan ketersedian data yang dianggap memadai. Metode validasi yang digunakan berupa, Root Mean Squared Error (RMSE), Nash-Sutcliffe Efficiency (NSE), Koefisien Korelasi (R), dan Uji Kesalahan Relatif (KR). Dalam analisis validasi dilakukan dengan dua perhitungan yaitu, validasi data tidak terkoreksi yang hanya melewati tahap validasi dan data terkoreksi yang melalui tahap kalibrasi, verifikasi, dan validasi. Hasil analisis menunjukan nilai validasi berdasarkan metode-metode tersebut lebih baik pada validasi data terkoreksi, dibandingkan dengan data tidak terkoreksi. Analisis keseluruhan menunjukan bahwa, data TRMM dapat digunakan sebagai alternatif data hidrologi.   Kata Kunci : curah hujan, TRMM, pos stasiun hujan, validasi. ABSTRACT : The availability of hydrological data is one of the problems in water hydraulic structure design in several regions. TRMM (Tropical Rainfall Measurement Mission) is one of NASA's missions to monitor and study tropical rainfall using weather satellite monitoring technology that can reach various regions of the earth. Validation analysis conducted to determine the suitability of TRMM rainfall data with regional rainfall so, it can be used as alternative hydrological data. The Lesti sub-watershed as a case study considered the data availability. The validation method used in the form of Root Mean Squared Error (RMSE), Nash-Sutcliffe Efficiency (NSE), Correlation Coefficient (R), and Relative Error Test (KR). The validation analysis performed with two calculations, uncorrected data validation which only passes the validation and corrected data stages through the stages of calibration, verification, and validation. The results of the analysis showed that the validation values ​​based on these methods were better at corrected data validation, compared to uncorrected data. The overall analysis showed that TRMM data can be used as an alternative to hydrological data.   Keywords : rainfall, TRMM, ground station, validation
EVALUASI HUJAN BERBASIS SATELIT GPM-IMERG DI WILAYAH SUNGAI HALMAHERA UTARA UNTUK PENGELOLAAN SUMBER DAYA AIR Partarini, Ni Made Candra
Jurnal Teknik Sipil dan Arsitektur Vol 30 No 2 (2025): Jurnal Teknik Sipil dan Arsitektur
Publisher : Fakultas Teknik Universitas Tunas Pembangunan Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jtsa.v30i2.4892

Abstract

Hydrological data is a crucial component in the planning and management of water resources (SDA) in Indonesia. The availability of data to date remains a critical issue that requires immediate attention. Satellite-based rainfall data has emerged as a promising alternative with better spatial and temporal scale coverage. This satellite data has been applied globally, especially for hydrological disaster prediction in various locations. Satellite rainfall technology continues to evolve with improvements in both quality and quantity over time. This research aims to assess the feasibility of using satellite rainfall data released by NASA, known as the Global Precipitation Measurement - Integrated Multi-satellite Retrievals for GPM (GPM-IMERG), for water resources management. The study location is the North Halmahera River Basin (WS). The feasibility assessment is conducted by comparing satellite rainfall data against field observation data represented by rain gauge stations scattered throughout the study area. The satellite performance assessment uses metric evaluation methods, including Probability of Detection (POD), False Alarm Ratio (FAR), Critical Success Index (CSI), and accuracy (fraction correct). The analysis results indicate that GPM-IMERG data demonstrates good performance in predicting rainfall in the South Halmahera River Basin based on the obtained evaluation metric values. Based on the metric evaluation, GPM-IMERG satellite rainfall data at 11 locations shows good performance in predicting rainfall in the North Halmahera River Basin. This is evident from the Probability of Detection (POD) values ranging from 0.90 to 0.99, the False Alarm Ratio (FAR) between 0.41 and 0.80, as well as the Critical Success Index (CSI) meeting values of 0.20 to 0.58, and cccuracy ranging from 0.33 to 0.66.
EVALUASI HUJAN BERBASIS SATELIT GPM-IMERG DI WILAYAH SUNGAI HALMAHERA UTARA UNTUK PENGELOLAAN SUMBER DAYA AIR Partarini, Ni Made Candra
Jurnal Teknik Sipil dan Arsitektur Vol 30 No 2 (2025): Jurnal Teknik Sipil dan Arsitektur
Publisher : Fakultas Teknik Universitas Tunas Pembangunan Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jtsa.v30i2.4892

Abstract

Hydrological data is a crucial component in the planning and management of water resources (SDA) in Indonesia. The availability of data to date remains a critical issue that requires immediate attention. Satellite-based rainfall data has emerged as a promising alternative with better spatial and temporal scale coverage. This satellite data has been applied globally, especially for hydrological disaster prediction in various locations. Satellite rainfall technology continues to evolve with improvements in both quality and quantity over time. This research aims to assess the feasibility of using satellite rainfall data released by NASA, known as the Global Precipitation Measurement - Integrated Multi-satellite Retrievals for GPM (GPM-IMERG), for water resources management. The study location is the North Halmahera River Basin (WS). The feasibility assessment is conducted by comparing satellite rainfall data against field observation data represented by rain gauge stations scattered throughout the study area. The satellite performance assessment uses metric evaluation methods, including Probability of Detection (POD), False Alarm Ratio (FAR), Critical Success Index (CSI), and accuracy (fraction correct). The analysis results indicate that GPM-IMERG data demonstrates good performance in predicting rainfall in the South Halmahera River Basin based on the obtained evaluation metric values. Based on the metric evaluation, GPM-IMERG satellite rainfall data at 11 locations shows good performance in predicting rainfall in the North Halmahera River Basin. This is evident from the Probability of Detection (POD) values ranging from 0.90 to 0.99, the False Alarm Ratio (FAR) between 0.41 and 0.80, as well as the Critical Success Index (CSI) meeting values of 0.20 to 0.58, and cccuracy ranging from 0.33 to 0.66.
Co-Authors Donny Harisuseno Ery Suhartanto