Diana Cahaya Siregar
Badan Meteorologi, Klimatologi dan Geofisika Stasiun Meteorologi Tanjungpinang

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Identifikasi Kenyamanan Kota Tanjungpinang Berdasarkan Indeks Panas Humidex Diana Cahaya Siregar; Vivi Putrima Ardah; Regina Dara Ninggar
Jurnal Ilmu Lingkungan Vol 17, No 2 (2019): Agustus 2019
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.797 KB) | DOI: 10.14710/jil.17.2.316-322

Abstract

The development of Tanjungpinang City in several sectors is an effort to make that city more advance. However, there is an important problem that needs to be considered. It is the problem of the comfort life index for the population who are living in Tanjungpinang City. The climate change can affect physiological comfort in an area. The increasing of temperature can trigger the Urban Heat Island. The aim of this study is to know the comfort life index in Tanjungpinang City using a heat index called as Humidex. The data are the air temperature, air humidity, and surface wind speed for the period of 1989-2018 from the Tanjungpinang Meteorological Station. The comparison of Humidex to wind speed and the number of vehicles in Tanjungpinang City was calculated to determine the effect on the heat index in Tanjungpinang City. The results show that the Humidex monthly average in the Tanjungpinang City area ranged from 32.6 to 34.0 °C. The highest Humidex monthly average is in May and June, and the lowest value is in January. The tendency of increasing Humidex ranged from 0.08 to 0.9 °C and decreasing ranged from 0.07 to 0.8 oC with the determinant coefficient value is 0.55. The increasing of wind speed impacts to decrease the value of Humidex. The increasing of the number of vehicles periodically impacts to increase the value of Humidex exponentially. There is an increasing of the thermal comfort when there is a decreasing value of Humidex or vice versa.
Kajian Validasi Data Global Satellite Mapping of Precipitation (GSMaP) di Bengkulu Diana Cahaya Siregar; Nasyithah Az-Zahra Lubis; Abdi Jihad; Tuti Herawati
Jurnal Fisika dan Aplikasinya Vol 16, No 3 (2020)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, LPPM-ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24604682.v16i3.4944

Abstract

The rainfall observation data is hard then we need other option to obtain the data which is easier and more accurate. One of methods to obtain rainfall data is using remote sensing. GSMaP is one among products produces by remote sensing which is able to obtaining rainfall data using satellite. The aim of this study is to validate the rainfall data using GSMaP to the rainfall observation data in Bengkulu for 2012-2015. The method used is processing GSMaP data into monthly data then comparing it with in situ data. In addition, there's processing data with statistical test. Based on the results, the correlation between GSMaP data and observation data is in range of 0,4 to 0,89. It shows that GSMaP data is quite valid to be used to fill incomplete rainfall data in Bengkulu, but it has not been able to intrepret value close to underforecast data.
Identifikasi Kejadian Kecelakaan Kapal Berbasis Analisis Faktor Cuaca dan Citra Satelit (Studi Kasus Tanggal 18 Juni 2018 di Danau Toba) Diana Cahaya Siregar; Sulton Kharisma; Bagas Ega Amirul Haq; Regina Dara Ninggar
Jurnal Fisika Indonesia Vol 23, No 2 (2019)
Publisher : Department of Physics Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5028.835 KB) | DOI: 10.22146/jfi.43775

Abstract

KM Sinar Bangun IV was carrying passengers about 188 people and 70 units of vehicles when it sank in Lake Toba, North Sumatra on Monday, June 18, 2018. The incident was occurred due to overcapacity, bad weather condition, and human error. Meteorological analysis on a global, regional and local scales were used to determine atmospheric dynamics at the time of the event. Meanwhile, Satellite, AWS, and ARG data were used to determine the weather condition. Streamline analysis showed the shear line pattern in Sumatra Island and convergence in North Sumatra. The condition of sea surface temperature was warm enough in the range of 28-30 °C. These conditions triggered for the potential of convective clouds development. Himawari-8 satellite images from IR and VIS channels showed the development of convective clouds in Lake Toba right before the event happened. AWS and ARG measurements around the Lake Toba area recorded precipitation which the value was greater than 30 mm/day.