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ANALISIS CURAH HUJAN PADA BADAI SIKLON SEROJA TERHADAP ALIRAN DEBIT SUNGAI DI DAS TEMEF Davianto Frangky B. Welkis; Willem Sidharno; Sri Wahyuni; Denik Sri Krisnayanti
Jurnal Ilmiah Desain & Konstruksi Vol 20, No 2 (2021)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/dk.2021.v20i2.5048

Badai siklon Seroja yang terjadi dari tanggal 3 April 2021 di daratan Pulau Timor merupakan salah satu badai siklon dengan kekuatan besar yang terbentuk di selatan Nusa Tenggara Timur. Seroja ini mengakibatkan badai petir dan hujan dengan intensitas tinggi di bebarapa kawasan di Nusa Tenggara Timur yang mengakibatkan banjir besar. Luapan banjir akibat badai Seroja ini juga terjadi pada DAS Temef di Kabupaten Timor Tengah Selatan. Berdasarkan data dari Badan Meteorologi Klimatologi dan Geofisika bahwa siklon tropis Seroja merupakan siklon ketujuh dalam musim siklon wilayah Australia 2020-2021 dan satu-satunya badai yang menyebabkan korban jiwa. Penelitian ini dilakukan untuk mengetahui seberapa besar intensitas hujan terhadap debit sungai di DAS Temef saat badai Seroja terjadi di awal April 2021. Metode yang digunakan dalam analisis ini dengan cara kuantitatif berdasarkan data citra satelit Global Precipitation Measurement (GPM) dan dari ground station. Hasil yang didapatkan dari analisis ini diperoleh bahwa tinggi hujan saat badai Seroja adalah 146.38 mm/hari - 149.81mm/hari secara merata pada luasan DAS. Kondisi ini diperburuk dengan hujan yang terjadi secara terus menerus selama 5 hari sebelumnya yang sudah diatas 80-90 mm. Badai Seroja ini bisa menjadi tolok ukur dalam mitigasi bencana untuk kondisi anomali cuaca di Nusa Tenggara Timur.

Evaluasi Kerentanan Akuifer Menggunakan Metode Simple Vertical Vulnerability Berdasarkan Hasil Penyelidikan Geolistrik (Studi Kasus di Desa Sumberpasir, Kecamatan Pakis, Kabupaten Malang) Julia Putri Rosalinda; Hari Siswoyo; Sri Wahyuni
Jurnal Ilmiah Universitas Batanghari Jambi Vol 22, No 2 (2022): Juli
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v22i2.2026

There are indications of water pollution due to industrial waste, which can be seen from the rivers and springs condition in Sumberpasir Village. So it is necessary to investigate the vulnerability of the aquifer using SVV method. There are three parameters that must be calculated as the index value of the SVV method, thickness of the unsaturated zone, percolation value, and material type of the unsaturated zone. From the three parameter values, the SVV index will be obtained as an aquifer vulnerability assessment. The SVV index was mapped into the distribution of aquifer vulnerability using the Surfer program. The results of the study resulted in five types of rock lithology materials as a result of interpretation from geoelectrical investigations based on adjustments to actual conditions in the field. The layer with the lowest resistivity is clay, the second layer is tuff, the third layer is sandy tuff, the fourth layer is pumice, and the fifth layer is breccia. From the three parameters of the SVV calculation, the SVV index value is between 54 which is interpreted as having a moderate vulnerability until 76 with a very low vulnerability. So that Sumberpasir Village is considered likely to be safe against aquifer vulnerability. The distribution of vulnerability levels in the research location is divided into three, very low vulnerability (18.65% of the total area Sumberpasir Village), low vulnerability (60.03%), and medium vulnerability (21.32%).

Evaluasi Pemanfaatan Data Pos Hujan dan Data Satelit TRMM dalam Pemodelan Debit Sintetik DAS Temef Davianto Frangky Welkis; Donny Harisuseno; Sri Wahyuni
Jurnal Teknik Sumber Daya Air Vol. 2 No. 1 (Juni 2022)
Publisher : Himpunan Ahli Teknik Hidraulik Indonesia (HATHI)

Rainfall data collection based on the TRMM (Tropical Rainfall Measuring Mission) satellite provides a good alternative in estimating rainfall. TRMM technology can minimize manual rainfall recording errors and increase rainfall accuracy for hydrological analysis. From the results of the statistical relationship analysis, the most accurate results obtained are 9 years of calibration and 1 year of validation, the selected equation is a polynomial with the following equation y = 0.0112 x2 - 0.2564x + 4,1293, so that validation analysis is carried out with the selected equation so that the validation results are obtained against 1 year rainfall data for the RMSE value of 7.022. The NSE value is 0.923, the Correlation Coefficient is 0.94 and the relative error value is 5.48 and the results of the equation for discharge are modeling return periods of discharge 2, 5, 10, 20 and 25 years for discharge observations of 2 years return period; Q = 84.44, m3/s at 5 years return period; Q = 105.95 m3/s, 10 year return period; Q = 120.86 m3/s, 20 years return period; Q = 135.16 m3/s, 25 years return period; Q = 139.69 m3/s. Meanwhile, for the simulation discharge, the return period is 2 years; Q =51,84 m3/s at 5 year return period; Q = 65,35 m3/s, 10 year return period; Q = 74,15 m3/s, 20 years return period; Q = 84,89 m3/s, return period of 25 years; Q = 94,65 m3/s.

Identification of Physical and Mineralogical Properties of Riverbank Material at Sand Mining Landslide Sites of Kali Putih River, Blitar Arlita Mey Hapsari; Dian Sisinggih; Andre Primantyo Hendrawan; Sri Wahyuni
U Karst Vol 5, No 1 (2021): APRIL
Publisher : Kadiri University

Kali Putih River is a river that is often affected by the eruption of Mount Kelud. The resulting large deposits of volcanic sand materials cause exploitation through uncontrolled sand mines. This will have an impact on potential hazards caused by environmental damage; for example, there have been several cases of riverbank landslides. Based on previous studies, it is important to study the identification of physical characteristics and mineralogy of riverbank materials through laboratory testing. The Gs value was found to be within 2.650-2.697, which can be classified as gravel or sand. According to the AASHTO standard, the classification is coarse-grained soil. By USCS classification, all samples were determined as well-graded sand. Based on the JGS standard, these samples can be classified as Volcanic Soil (VS) and Volcanic Sand (SV). SEM results showed that the grain samples had low sphericity with angular to sub-angular and a bladed-oblate granular form. From X-RD analysis, the mineral composition of samples was dominated by anorthite (CaAl2Si2O8) and albite (Na(AlSi3O8)). Associated with Bowen's Reaction, these compounds are common in young materials when the weathering process is still progressing.

Evaluasi Penjadwalan Awal Tanam Padi untuk Efisiensi Irigasi Sri Wahyuni; Riyanto Haribowo; Dian Sisinggih; Yusril Fatrah; Ivan Dwi P
Jurnal Teknik Sumber Daya Air Vol. 2 No. 1 (Juni 2022)
Publisher : Himpunan Ahli Teknik Hidraulik Indonesia (HATHI)

Meningkatkan efektivitas penggunaan air dalam pertanian adalah subyek dari banyak penelitian karena secara signifikan dapat mengurangi produksi pertanian di banyak negara. Simulasi awal tanam merupakan salah satu strategi mengatasi keterbatasan air. Dengan areal persawahan seluas 1.005 ha, penelitian ini berupaya memodelkan penanaman awal padi di Daerah Irigasi Bilokka, Sulawesi Selatan. Teknik neraca air yang diterapkan pada saat penanaman pertama kali dijadwalkan, merupakan salah satu cara untuk mengetahui berapa banyak dan berapa lama tanaman membutuhkan pengairan. Kami membutuhkan informasi tentang cuaca, termasuk curah hujan. Parameter masukan yang dihitung adalah evapotranspirasi. Hasil menunjukkan bahwa: 1) Nilai evapotranspirasi berada pada kisaran 3-6 mm/hari; 2) Curah hujan andalan berkisar 0-110 mm/10hari, sedangkan curah hujan efektif 0-8 mm/hari; dan 3) Berdasarkan perhitungan pola tanam dengan jenis tanaman padi dengan dua musim tanam, kebutuhan air minimum terdapat pada alternatif III yaitu 1,56 liter/detik/ha dengan mulai tanam pada bulan November III. Opsi ketiga, yang dapat memangkas penggunaan irigasi sebesar 0,31 liter per detik per hektar (16%, atau 322 liter per detik untuk keseluruhan area irigasi), adalah alternatif yang sebaiknya diterapkan di lapangan. Daerah irigasi seluas 206 ha dapat dikembangkan dengan menggunakan efisiensi air yang ditemukan dalam simulasi ini. Pemda yang bertanggung jawab atas pengendalian irigasi juga dapat menggunakan temuan ini sebagai referensi.

Rationalization of Rainfall Station Network in Welang Watershed Using Kagan-Rodda Method Safira Anisah Haromain; Sri Wahyuni; Lily Montarcih Limantara
U Karst Vol 6, No 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.2829

Rationalizing rainfall station is important to get an effective and efficient number and distribution of rainfall stations. If rationalization isn’t carried out, it affect to operating and maintenance costs of rainfall stations and accuracy of data. This study aimed to evaluate existing rainfall station and rationalize rainfall station, so rainfall station’s location is evenly distributed. This study is located in Welang watershed with an area 477.78 km2. This research requires rainfall ground data from 9 rainfall stations and CHIRPS satellite rainfall data from Google Earth Engine. The data is tested with consistency, stationary, suitability, and rationalization based on World Meteorological Organization (WMO) standards and Kagan-Rodda method. Later, new rainfall station networks will be obtained with the influence area of rainfall stations suitable to WMO Standard. CHIRPS data is highly suitable with ground data, proven by high NSE, strong correlation, and low relative error, so CHIRPS data can be used for further analysis. According WMO, only 1 rainfall station in Welang watershed has been suitable for WMO standard. Those unsuitable with WMO standards need to be rationalized. Based rationalization results, with average error <10%, Welang watershed requires 4 rainfall stations by maintaining Lawang Station, moving Telebuk to Station B, Selowongko to Station C, and Tutur to Station D. The influence area of recommendation rainfall stations have been suitable to WMO Standards and obtained even distribution rainfall stations. This recommendation are expected to be considered by relevant institutes to move the location of the rainfall station to get more accurate rainfall data.

Identification of Physical and Mineralogical Properties of Riverbank Material at Sand Mining Landslide Sites of Kali Putih River, Blitar Arlita Mey Hapsari; Dian Sisinggih; Andre Primantyo Hendrawan; Sri Wahyuni
U Karst Vol. 5 No. 1 (2021): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v5i1.1093

Kali Putih River is a river that is often affected by the eruption of Mount Kelud. The resulting large deposits of volcanic sand materials cause exploitation through uncontrolled sand mines. This will have an impact on potential hazards caused by environmental damage; for example, there have been several cases of riverbank landslides. Based on previous studies, it is important to study the identification of physical characteristics and mineralogy of riverbank materials through laboratory testing. The Gs value was found to be within 2.650-2.697, which can be classified as gravel or sand. According to the AASHTO standard, the classification is coarse-grained soil. By USCS classification, all samples were determined as well-graded sand. Based on the JGS standard, these samples can be classified as Volcanic Soil (VS) and Volcanic Sand (SV). SEM results showed that the grain samples had low sphericity with angular to sub-angular and a bladed-oblate granular form. From X-RD analysis, the mineral composition of samples was dominated by anorthite (CaAl2Si2O8) and albite (Na(AlSi3O8)). Associated with Bowen's Reaction, these compounds are common in young materials when the weathering process is still progressing.

Rationalization of Rainfall Station Network in Welang Watershed Using Kagan-Rodda Method Safira Anisah Haromain; Sri Wahyuni; Lily Montarcih Limantara
U Karst Vol. 6 No. 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.2829

Rationalizing rainfall station is important to get an effective and efficient number and distribution of rainfall stations. If rationalization isnâ€™t carried out, it affect to operating and maintenance costs of rainfall stations and accuracy of data. This study aimed to evaluate existing rainfall station and rationalize rainfall station, so rainfall stationâ€™s location is evenly distributed. This study is located in Welang watershed with an area 477.78 km2. This research requires rainfall ground data from 9 rainfall stations and CHIRPS satellite rainfall data from Google Earth Engine. The data is tested with consistency, stationary, suitability, and rationalization based on World Meteorological Organization (WMO) standards and Kagan-Rodda method. Later, new rainfall station networks will be obtained with the influence area of rainfall stations suitable to WMO Standard. CHIRPS data is highly suitable with ground data, proven by high NSE, strong correlation, and low relative error, so CHIRPS data can be used for further analysis. According WMO, only 1 rainfall station in Welang watershed has been suitable for WMO standard. Those unsuitable with WMO standards need to be rationalized. Based rationalization results, with average error <10%, Welang watershed requires 4 rainfall stations by maintaining Lawang Station, moving Telebuk to Station B, Selowongko to Station C, and Tutur to Station D. The influence area of recommendation rainfall stations have been suitable to WMO Standards and obtained even distribution rainfall stations. This recommendation are expected to be considered by relevant institutes to move the location of the rainfall station to get more accurate rainfall data.

Studi Optimasi Alokasi Air Pada Daerah Irigasi Bilokka Kecamatan Panca Lautang Kabupaten Sidrap Provinsi Sulawesi Selatan Menggunakan Program Linear Moh. Ali Mabrur; Sri Wahyuni; Very Dermawan
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 1 No. 1 (2021): Jurnal Teknologi dan Rekayasa Sumber Daya Air (JTRESDA)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtresda.2021.001.01.15

Irigasi Bendung Bilokka yang terletak di Kecamatan Panca Lautang Kabupaten Sidrap Provinsi Sulawesi Selatan yang memiliki luasan potensial sawah Â± 1005 Ha. Salah satu cara untuk mengatasi masalah distribusi air ialah dengan memaksimalkan produktivitas dan manfaat pertanian yang salah satunya dapat diatasi dengan salah satunya teknik optimasi. Optimasi bertujuan untuk mengoptimalkan laju pemanfaatan air irigasi agar menghasilkan manfaat yang maksimal dan penyaluran irigasi lebih efektif. Metode yang digunakan dalam penelitian ini adalah dengan menggunakan metode Mathematical Programming (MP) dari Riset Operasi yang merupakan program linier dengan dukungan program QM for Windows 4. Dari hasil teknik optimasi dengan bantuan program POM-QM For Wndows 4 maka untuk keuntungan eksisting awal tanam desember II sebesar Rp. 21.806.950.000,00 diperoleh luas tanam 1005 Ha pada MT I 1005 Ha dan MT II 873,5 Ha dengan intensitas tanam selama satu tahun sebesar 187%, sedangkan keuntungan yang didapat dari hasil simulasi debit yang terkecil terpilihlah alternatif 3 awal tanam desember III sebesar Rp. 23.334.010.000,00 diperoleh luas tanam 1005 pada MT I 1005 Ha dan MT II 1005 Hadengan intensitas tanam selama satu tahun sebesar 200%.

Estimasi Tinggi Curah Hujan dari Data Klimatologi Menggunakan Model Artificial Neural Network (ANN) di Kabupaten Badung Bali Selatan Muhammad Walidi Juma'a; Lily Montarcih Limantara; Sri Wahyuni
Jurnal Teknologi dan Rekayasa Sumber Daya Air Vol. 1 No. 1 (2021): Jurnal Teknologi dan Rekayasa Sumber Daya Air (JTRESDA)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtresda.2021.001.01.11

Abstract: The objective of this research was to establish the results of calibration relationship between rainfall and climatology, mathematical equations and the results of the validation Artificial Neural Network (ANN) method from 30 years of climatological data and historical rainfall. The population was taken from the Meteorology, Climatology and Geophysics Agency at Ngurah Rai Station, Badung Regency, Bali. Climatic data and rainfall data were analyzed the quality of the data, namely the consistency test, stationary test, trend absence test and persistence test. The output of the analysis calculation of rainfall using the (ANN) method of observational data based on the calibration found that in the distribution of data for 25 years epoch 2000 with an indicator value of NSE = 0.83 (Good) and R = 0.91 (Very strong) showed the best results, while for verification on 1 year epoch 2000 data with an indicator value of Â NSE = 0.48 (fulfilled) and R = 0.90 (very strong). The comparison of rainfall data with observational data is almost close if the Nash-Sutchliffe Efficiency (NSE) and Correlation Coefficient (R) values meet the existing categories.Â Abstrak : Tujuan penelitian ini untuk mengetahui hasil kalibrasi hubungan curah hujan dengan klimatologi, persamaan matematis dan hasil validasi metode Artificial Neural Network (ANN) dari 30 tahun data klimatologi dan curah hujan historis. Populasi diambil dari Badan Meteorologi Klimatologi dan Geofisika di Stasiun Ngurah Rai, Kabupaten Badung, Bali. Data iklim dan data curah hujan dilakukan analisis kualitas data, yaitu dengan Uji Konsistensi, Uji Stasioner, Uji Ketidakadaan trend dan Uji Persistensi. Hasil analisis perhitungan curah hujan dengan metode (ANN) terhadap data pengamatan berdasarkan kalibrasi didapatkan bahwa di pembagian data 25 tahun epoch 2000 dengan nilai indikator NSE = 0,83 (Baik) dan R = 0,91 (Sangat kuat) menunjukan hasil terbaik, sedangkan untuk verifikasi pada data 1 tahun epoch 2000 dengan nilai indikator NSE = 0,48 (Memenuhi) dan R = 0,90 (Sangat kuat). Perbandingan data curah hujan dengan data pengamatan hampir mendekati jika nilai Efisiensi Nash-Sutchliffe (ENS) dan Koefisien Korelasi (R) memenuhi kategori yang ada.

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