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All Journal Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram
Syahrul Humaidi
Department of Physics, Faculty of Mathematics and Natural Sciences – University of North Sumatra, Jl. Dr. T. Mansur No.9, Padang Bulan, Kec. Medan Baru, Kota Medan, Sumatera Utara
Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Physics Other

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Study of the Utilization of WRF Model Output Data to Produce Daily Flood Forecast Maps in the North Sumatra Region Mega Sirait; Syahrul Humaidi; Marzuki Sinambela; Marhaposan Situmorang; Erna Frida
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7735

Abstract

Flood is a natural disaster that often occurs in Indonesia. Currently, flood events are relatively difficult to predict because floods generally occur suddenly in uncertain periods. Extreme rainfall is a major factor for the occurrence of floods. Considering that floods can be caused by heavy rainfall events within a few hours, it is necessary to produce daily flood forecasts for flood disaster mitigation. This study aims to test the accuracy of utilizing rainfall forecast data from the Weather Research and Forecasting (WRF) model to create daily flood forecast maps. The data used in this study include Global Forecast System (GFS) data, BMKG rainfall measurement data which spread across several points in North Sumatra Province, and flood incident reports from BNPB. Data processing is carried out by Geospatial Information System (GIS) using Quantum-GIS, which includes weighting and scoring the parameters of soil type, slope, land elevation, river density, and land cover to produce Flood Prone Maps, then integrated with rainfall data to produce Daily Flood Forecast Maps. The case studies of flood events in this study are August 28 and November 28, 2022. The results showed that the spatial forecast of flood potential (WRF) has a pattern in accordance with the flood event area. Therefore, the WRF model output rainfall prediction data can be used to create a daily flood forecast map in the North Sumatra region.
Analysis Of Spearman Rank Correlation & Linear Regression Of Atmospheric Stability And Cloud Tops Temperature Of Himawari-8 IR Satellite Images (Case Study Of Hail On May 22, 2022) Lestari Irene Purba; Syahrul Humaidi; Yahya Darmawan; Zahedi Zahedi; Tulus Ikhsan Nasution
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7818

Abstract

This research is based on cases of hail that caused flooding in Binjai City on May 22, 2022. This study aims to see the correlation and regression of the Atmospheric Stability index value on cloud top temperature data from the Himawari-8 satellite imagery. So that the ERA-5 reanalysis data can be used to obtain cloud top temperatures in predicting hail events. The indices used in this study are CAPE, KI and TTI. The data used is located in Binjai City with correlation testing from 00UTC – 24UTC on May 22, 2022. Supported data is used in the form of sea surface temperature and wind conditions and looks at the causes of hail at the research location. The method used is Spearman's rank correlation with the results obtained in the form of a correlation value at the K index of -0.651, a correlation of the TT index of -0.563, and a correlation of the CAPE index of -0.348. The simple linear regression results also show a negative gradient line. This shows that the increase in the value of the stability index is in line with the decrease in cloud top temperature. So that the stability index data can be used as a benchmark in estimating cloud top temperatures in the case of convective cloud formation which causes hail.
Rainfall Characteristics In Medan City With Pearson Correlation Analysis (Case Study Of February 27, 2022) Endah Paramita; Syahrul Humaidi; Yahya Darmawan
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7852

Abstract

February is climatologically the first peak of the dry season in the North Sumatra region, but floods can still occur. This study analyzes the characteristics of rainfall patterns that occur during extreme rainfall that occurred in the Medan area on February 27, 2022 which resulted in flooding in several areas in Medan with Pearson correlation. The data used are rainfall data, satellite data, radar and other atmospheric dynamics analysis data. Based on dynamic analysis on February 27, 2022, the growth of CB clouds began at 14.00 WIB reaching its peak at 17.00 WIB where the peak temperature of the cloud reached 82.4 ° C and cloud growth lasted until 21.00 WIB, where the rain lasted long enough to cause hydrometeorological disasters (floods) to occur. The Pearson correlation coefficient method (r) used to analyze the relationship between rainfall and DMI, ENSO, SST Anomalies and SOI conditions can be seen that the dominant influence is SST Anomalies and SOI, where in February conditions that affect rainfall are ENSO with a correlation value of 0.36272 and SST Anomalies with a correlation value of 0.37548.
Effect of NaOH Concentration on Magnetic Properties and Structural Studies of MgFe2O4 Based on Natural Iron Sand Synthesized by Co-Precipitation Method Shiamny Nur Khair Tarigan; Syahrul Humaidi; Martha Rianna; Nurul Maulida R Nasution
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.8092

Abstract

This research was conducted to synthesize MgFe2O4 using the coprecipitation method by varying the concentration of NaOH. In this study, MgCl26H2O, iron sand, 37% HCl and variations of NaOH (5 M and 10 M) were mixed at 90 ℃ for 60 minutes, then washed using distilled water and ethanol until pH = 7, and calcined at 750 ℃. The test results using X-Ray Diffraction (XRD) showed that the diffraction pattern of phase formation identified was MgFe2O4 with hkl values (220), (311), (400), (422), (511), and (440). The resulting crystal size decreased with the addition of NaOH concentration. The test results using a Vibrating Sample Magnetometer (VSM) show that the magnetization value decreases when the crystal size decreases.
Characteristics of Cloud to Ground (CG) Lightning and Heavy Rainfall in Medan and Deli Serdang Patra Mesiari Tarigan; Syahrul Humaidi; Yahya Darmawan; Marhaposan Situmorang; Martha Rianna
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 4: October 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i4.10295

Abstract

The areas of Medan and Deli Serdang have complex topography, stretching from the slopes of Bukit Barisan Mountains to the east coast of North Sumatera. This condition causes Medan and Deli Serdang areas frequently form convective clouds that produce rain and lightning. This research utilizes Cloud to Ground (CG) lightning data and rainfall from 2019-2022 to analyse the characteristics and relationship between lightning and rainfall in Medan and Deli Serdang. CG lightning data is obtained from Lightning Detector equipment with a 10 km radius to avoid noise and obtain better data. Rainfall data above 50 mm/day (heavy rain) is used, which is obtained from 3 rain gauges locations. The study results showed that there was an increase in lightning events along with an increase of rainfall which showed almost the same pattern of peak activity from lightning and rainfall. The correlation between heavy rainfall and CG lightning, in the Medan and Deli Serdang areas are moderate positive, around r=0.566 for CG-, r=0.567 for CG+ and r= 0.576 for total CG. The highest correlation in Sunggal Rain Station is r = 0.947, in Deli Serdang Climatological Station is r = 0.950 and in the Kualanamu Meteorological Station is r = 0.932.
Co-Authors Endah Paramita Erna Frida Lestari Irene Purba Marhaposan Situmorang Martha Rianna Marzuki Sinambela Mega Sirait Nurul Maulida R Nasution Patra Mesiari Tarigan Shiamny Nur Khair Tarigan Tulus Ikhsan Nasution Yahya Darmawan Yahya Darmawan Yahya Darmawan Zahedi Zahedi