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All Journal Jurnal Dinamis Jurnal Penelitian Fisika dan Aplikasinya (JPFA) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Fisika Unand Emerging Science Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Hilirisasi IPTEKS (JHI) Jurnal Ilmu Fisika INTEGRITAS : Jurnal Pengabdian BERNAS: Jurnal Pengabdian Kepada Masyarakat Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Makara Journal of Science Indonesian Journal of Community Empowerment and Service
Mutya Vonnisa
Jurusan Fisika Universitas Andalas
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Journal : Jurnal Ilmu Fisika

 1 
PENGEMBANGAN METODE DUAL-FREKUENSI UNTUK MENGAMATI STRUKTUR VERTIKAL RAINDROP SIZE DISTRIBUTION (DSD) DI KOTO TABANG Vonnisa, Mutya
Jurnal Ilmu Fisika Vol 6, No 2 (2014): JURNAL ILMU FISIKA
Publisher : Jurnal Ilmu Fisika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (475.816 KB) | DOI: 10.25077/jif.6.2.52-58.2014

Abstract

Metode untuk mengamati struktur vertikal parameter mikrofisika hujan yang dikenal dengan DSD telah dikembangkan menggunakan data Equatorial Atmosphere Radar (EAR) dan Boundary Layer Radar (BLR) di Koto Tabang, Sumatera Barat, Indonesia. Spektrum hujan dari BLR yang merupakan fungsi DSD dimodelkan dengan modifikasi fungsi gamma dan spektrum turbulen atmosfir dari EAR dimodelkan dengan fungsi Gauss. Parameter DSD dan turbulen didapatkan dengan menggunakan metode non-linear least square fitting. Data dari Joss-Wadvogel Disdrometer (JD) digunakan untuk memvalidasi hasil yang didapatkan dari data radar. Hasil penelitian memperlihatkan bahwa metode dual-frekuensi lebih akurat dibandingkan dengan metode single-frekuensi. Hal itu ditunjukkan oleh hasil fitting spektrum hujan dari metode dualfrekuensi lebih tinggi dan jelas dibandingkan metode single-frekuensi. Selain itu DSD yang dihasilkan oleh metode dual-frekuensi lebih mendekati DSD dari JD dibandingkan dengan singlefrekuensi.
PENGEMBANGAN METODE DUAL-FREKUENSI UNTUK MENGAMATI STRUKTUR VERTIKAL RAINDROP SIZE DISTRIBUTION (DSD) DI KOTO TABANG Mutya Vonnisa
Jurnal Ilmu Fisika (JIF) Vol 6 No 2 (2014): September 2014
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.6.2.52-58.2014

Abstract

Metode untuk mengamati struktur vertikal parameter mikrofisika hujan yang dikenal dengan DSD telah dikembangkan menggunakan data Equatorial Atmosphere Radar (EAR) dan Boundary Layer Radar (BLR) di Koto Tabang, Sumatera Barat, Indonesia. Spektrum hujan dari BLR yang merupakan fungsi DSD dimodelkan dengan modifikasi fungsi gamma dan spektrum turbulen atmosfir dari EAR dimodelkan dengan fungsi Gauss. Parameter DSD dan turbulen didapatkan dengan menggunakan metode non-linear least square fitting. Data dari Joss-Wadvogel Disdrometer (JD) digunakan untuk memvalidasi hasil yang didapatkan dari data radar. Hasil penelitian memperlihatkan bahwa metode dual-frekuensi lebih akurat dibandingkan dengan metode single-frekuensi. Hal itu ditunjukkan oleh hasil fitting spektrum hujan dari metode dualfrekuensi lebih tinggi dan jelas dibandingkan metode single-frekuensi. Selain itu DSD yang dihasilkan oleh metode dual-frekuensi lebih mendekati DSD dari JD dibandingkan dengan singlefrekuensi.
Statistical Comparison of IMERG Precipitation Products with Optical Rain Gauge Observations over Kototabang, Indonesia Helmi Yusnaini; Ravidho Ramadhan; Marzuki Marzuki; Ayu Putri Ningsih; Hiroyuki Hashiguchi; Toyoshi Shimomai; Mutya Vonnisa; Harmadi Harmadi; Wiwit Suryanto; Sholihun Sholihun
Jurnal Ilmu Fisika (JIF) Vol 14 No 1 (2022): March 2022
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.14.1.10-20.2022

Abstract

Satellite-based precipitation estimates play a crucial role in many hydrological and numerical weather models, especially to overcome the scarcity of rain gauge data. Globally gridded rainfall product from Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) has been used in a wide range of hydrological applications. However, the IMERG is inherently prone to errors and biases. This study evaluated the performance of the IMERG-Final run (IMERG-F) product to estimate rainfall in a mountainous area of Sumatra. Validation was carried out using optical rain gauge (ORG) data for 15 years (2002-2016), at Kototabang, West Sumatra, Indonesia. In general, IMERG-F overestimated rainfall in all time scales. The longer the time scale was, the better the performance of IMERG-F we obtained. This feature was indicated by all quantities of continuous and categorical statistical matrices used. The performance of IMERG-F was lower than in other areas of the Maritime Continent, except for the probability of detection (POD) value. IMERG-F could detect rain very well, including for daily and hourly data, but the false alarm rate (FAR) was also relatively high. Such high FAR value may indicate a significant small-scale spatial rainfall variability in mountainous area of Sumatra.
Tren Konsentrasi Uap Air dan Ozon di Beberapa Ketinggian Wilayah Indonesia Akibat Fenomena La Niña Ariani, Silvi; Vonnisa, Mutya; Marzuki, Marzuki
Jurnal Ilmu Fisika Vol 16 No 2 (2024): September 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.2.131-141.2024

Abstract

We observed the effect of the La Niña phenomenon on the concentration of water vapor and ozone in the Indonesian region. This aims to the value of water vapor and ozone concentrations due to the La Niña phenomenon using Microwave Limb Sounder (MLS) data from 2004-2022. The La Niña phenomenon was chosen because during La Niña, the sea surface temperature in Indonesia is warmer than normal, thus increasing the evaporation of sea water which result is an increase in the concentration of water vapor in the atmosphere. Concentration values are observed at altitudes of (25.7;30.5;35.3;40.1) km because there are trends in water vapor and ozone concentrations at these altitudes. The La Niña phenomenon is used to see anomalies in water vapor and ozone concentrations from their normal state. La Niña phenomenon is observed based on the ONI index. We found that during La Niña, the water vapor concentration increased from its normal state while the ozone concentration decreased from its normal state. These two concentration values were used to find trends using Mann Kendall and Sen's Slope methods. We found that the trend of water vapor concentration is statistically significant while the trend of ozone concentration is the opposite.
Tren Konsentrasi Uap Air dan Ozon di Beberapa Ketinggian Wilayah Indonesia Akibat Fenomena La Niña Ariani, Silvi; Vonnisa, Mutya; Marzuki, Marzuki
Jurnal Ilmu Fisika Vol 16 No 2 (2024): September 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.2.131-141.2024

Abstract

We observed the effect of the La Niña phenomenon on the concentration of water vapor and ozone in the Indonesian region. This aims to the value of water vapor and ozone concentrations due to the La Niña phenomenon using Microwave Limb Sounder (MLS) data from 2004-2022. The La Niña phenomenon was chosen because during La Niña, the sea surface temperature in Indonesia is warmer than normal, thus increasing the evaporation of sea water which result is an increase in the concentration of water vapor in the atmosphere. Concentration values are observed at altitudes of (25.7;30.5;35.3;40.1) km because there are trends in water vapor and ozone concentrations at these altitudes. The La Niña phenomenon is used to see anomalies in water vapor and ozone concentrations from their normal state. La Niña phenomenon is observed based on the ONI index. We found that during La Niña, the water vapor concentration increased from its normal state while the ozone concentration decreased from its normal state. These two concentration values were used to find trends using Mann Kendall and Sen's Slope methods. We found that the trend of water vapor concentration is statistically significant while the trend of ozone concentration is the opposite.
Co-Authors Adrial, Rico Afdal Afdal Afdal Afdal Afdhal Muttaqin Ahmad Fauzi Pohan Ahmad Rizqy Shubri Ahmad Zul Amal Zaini Alimin Mahyudin Ardian Putra Ariani, Silvi Arif Budiman Arif Budiman Astuti Astuti - Astuti Astuti Astuti Astuti Astuti Astuti Aulya Rahayu Aulya Rahayu, Aulya Ayu Putri Ningsih Ayu Putri Ningsih Ckhotimah, Husnul Dahyunir Dahlan Damayanti, Elok Dea Kurnia Harysandi Dedi Mardiansyah Dian Fitriyani Dian Fitriyani Dian Milvita Dwi Pujiastuti Dwi Pujiastuti Dwi Puryanti Eldiani Arifya Elfira Saufina Elistia Liza Namigo, Elistia Elvaswer Elvaswer Fadilla Monica Fani Anjelina Feriska Handayani Irka, Feriska Handayani Geby Sri Ayu Oktavia Hanifah Azzaura Musyayyadah Hapsoro, Cahyo A. Harmadi Harmadi Harmadi Harmadi Helmi Yusnaini Helmi Yusnaini Hiroyuki Hashiguchi Hiroyuki Hashiguchi Hiroyuki Hashiguchi Hiroyuki Hashiguchi Hiroyuki Hashiguchi Hiroyuki Hashiguchi, Hiroyuki Husnul Ckhotimah Imam Taufik Imam Taufiq Imam Taufiq Indrayani, Wira Iqbal Ramadhan Iqbal Ramadhan L. Luini Lisna Meylani M. Ali Shafii Marzuki Marzuki Marzuki Marzuki Marzuki Marzuki Marzuki, Meqorry Yusfi Meri Yoseva Mohammad Ali Shafii Mora Mora Muhammad Arif Muhammad Arif Muhammad Kahfi Muhammad Kahfi Muldarisnur, Mulda Musyayyadah, Hanifah Azzaura Muzirwan Muzirwan Naela Amalia Zulfa Naela Amalia Zulfa Nini Firmawati Nor Azlan Mohd Aris Novia Dwi Agusri Novita, Shania Ellens Nurdiana Nurdiana Nurul Annisa Nurul Hasanah Pakhrur Razi Rahmat Rasyid Rahmat Rasyid Ramacos Fardela Ramadani Safitri Ramadhan, Ravidho Ravidho Ramadhan Ravidho Ramadhan Ravidho Ramadhan Rini Oktaviani Safitri, Ramadani Saufina, Elfira Shania Ellens Novita Shimomai, Toyoshi Sholihun, Sholihun Solly Aryza Sri Handani Sri Oktamuliani Sucy Lestari Wirma Sugeng Nugroho Suryanto, Wiwit Syarifatul Ulfah Toyoshi Shimomai Toyoshi Shimomai Toyoshi Shimomai Toyoshi Shimomai Trengginas Eka Putra Sutantyo Usna, Sri Rahayu Alfitri Veithzal Rivai Zainal Wira Indrayani Yanfatriani, Elsa Yoci Darwita Putri Yoseva, Meri Yusnaini, Helmi Zulfi Zulfi Zulfi Zulkifli Lubis