Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Proceedings Series on Physical & Formal Sciences Jurnal Penelitian Sains Teknologi
Hendri Satria WD
Badan Meteorologi Klimatologi dan Geofisika
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Bilangan Richardson (Ri) untuk Stabilitas Atmosfer Iklim Mikro pada Maret 2021 di Konawe Selatan Hendri Satria WD; Dewi Tamara Qothrunada; Jefri Abednego Mondong
Proceedings Series on Physical & Formal Sciences Vol. 2 (2021): Prosiding Seminar Nasional Fakultas Pertanian dan Perikanan
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.128 KB) | DOI: 10.30595/pspfs.v2i.171

Abstract

A microclimate is a complex of environmental variables that affect plants, including temperature, radiation, humidity, and wind. One of the additional atmospheric parameters that can be relevant in microclimate studies is the condition of atmospheric stability. The Richardson number derived from the temperature gradient and wind speed can determine the inversion interval in the atmosphere. The research was conducted at the Konawe Selatan Climatology Station to describe the condition of atmospheric stability and the convection process by calculating dynamic stability based on wind and temperature data at the level of 2 meters, 4 meters, and 7 meters in March 2021 from automatic tools. Based on observations in Condition 1, the atmosphere was seen in the morning dominated by neutral conditions, unstable in the afternoon, and stable in the afternoon. In condition 2 the atmosphere on a not rainy day and a rainy day in the morning was dominated by neutral conditions, free convection during the day, and forced convection at night. Free convection illustrated that the wind in the observation area was still dominated by monsoons and was still entering the rainy season. Also, forced convection illustrated that there was orographic rain; this was supported by the topography of the observation area, which was close to the hills and the Boroboro Mountains.
Evaluasi Data Estimasi Curah Hujan Satelit TRMM 3B42 Dengan Data Observasi Di Stasiun Meteorologi Sangia Ni Bandera Kolaka Tahun 2019 Hendri Satria WD; Esterline; Ekawati Natalia Mulyadi; Nur Wiryanti Sih Antomo; Ikhwan Wardiansyah; Citra Umari; Adlian Affa Annie
Jurnal Penelitian Sains Teknologi Vol. 1 No. 2 (2025)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/saintek.v1i2.1073

Abstract

Data curah hujan di Indonesia saat ini dilakukan dengan pengamatan in situ, yang memungkinkan adanya data yang kosong karena kesalahan observer ataupun karena adanya alat yang rusak. Satelit TRMM merupakan salah satu satelit yang banyak dimanfaatkan untuk mengisi data curah hujan yang kosong di Indonesia. penelitian ini ditujukan untuk mengetahui hasil akurasi antara data estimasi curah hujan satelit TRMM 3B42 dengan data pengamatan permukaan yang bersumber dari Stasiun Metorologi Sangia Ni Bandera Kolaka pada tahun 2019. Kedua data diuji secara statistik dengan menggunakan metode perhitungan koefisien korelasi, perhitungan eror dengan metode Root Mean Squared Error (RMSE), dan uji signifikansi. Hasil penelitian menunjukkan bahwa hubungan terbaik dihasilkan oleh periode bulan kering dibanding pada bulan basah. Secara umum, dalam grafik timeseries data satelit dan data observasi menunjukkan pola fluktuasi yang cukup sama, namun dalam beberpa kejadian data satelit TRMM jauh lebih kecil dibanding data observasi. Skala waktu terbaik pada hubungan kedua data adalah pada skala waktu dasarian, karena menghasilkan hasil yang signifikan untuk semua periode bulan, serta memiliki nilai korelasi yang tinggi dengan nilai eror yang kecil.
Co-Authors Adlian Affa Annie Citra Umari Dewi Tamara Qothrunada Ekawati Natalia Mulyadi Esterline Ikhwan Wardiansyah Jefri Abednego Mondong Nur Wiryanti Sih Antomo