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<![CDATA[Psychological Well-Being in Broken Home Students ]]>
<![CDATA[Muhammad Farid Ilhamuddin]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7765
<![CDATA[Disharmony in a family, which is the result of a broken home, can have an impact on the level of individual psychological well-being. This study aims to describe the psychological well-being of students who experience broken homes. This study uses a qualitative method with a case study design. Participants were selected using a purposive sampling technique with the characteristics of students being male and coming from broken home families. There were three participants, namely BO, LC and STW. Collecting research data by means of in-depth interviews and participant observation. The results showed that the three participants had different aspects of subjective well-being. Psychological well-being BO is less positive while LC and STW are positive. The results of this study can be used as a reference regarding the development of effective inventions by taking into account the characteristics of the participants found.]]>
<![CDATA[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) ]]>
<![CDATA[Lestari Irene Purba]]>;
<![CDATA[Syahrul Humaidi]]>;
<![CDATA[Yahya Darmawan]]>;
<![CDATA[Zahedi Zahedi]]>;
<![CDATA[Tulus Ikhsan Nasution]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7818
<![CDATA[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.]]>
<![CDATA[Identification of Rainfall events on Climate Phenomena in Medan based on Machine Learning ]]>
<![CDATA[Deassy Eirene Diana Doloksaribu]]>;
<![CDATA[Kerista Tarigan]]>;
<![CDATA[Richard Mahendra Putra]]>;
<![CDATA[Yahya Darmawan]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7738
<![CDATA[Indonesia has diverse topographical conditions that result in Indonesia having a unique climate. One of the unique climate elements to be studied is rainfall, because rainfall has a different pattern in each region, this different rainfall pattern is caused by several climate phenomena factors that affect the rainfall pattern, including El-Nino Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and Madden Julian Oscillation (MJO). Medan City is the capital of North Sumatra province which is one of the areas in the flood-prone category in North Sumatra, where the factor of flooding is due to rainfall events in a long period of time, so the author wants to know which climatic phenomena factors can affect rainfall events in Medan city by using Machine Learning technology through the Matlab application, where in this study has a method by forming four combination models, namely the combination of the influence of IOD, SOI and MJO; second combination of IOD and SOI; third combination of SOI and MJO; and fourth combination of MJO and IOD, these four combinations will be the rainfall value of the four models. Furthermore, the rainfall value of the model is compared with the observed rainfall value and verification test using Mean Absolute Error (MAE) and correlation. Then the calculation of the comparison between the four rainfall models with the observed rainfall obtained the lowest MAE value during the SOI and MJO phenomenon of 15.0 mm and the highest correlation value during the IOD and SOI and SOI and MJO phenomena. So it is concluded that the combination of SOI and MJO has the best verification value. This shows that based on Machine Learning modeling, the model shown as the best predictor in Medan city is when the model combination consists of SOI and MJO.]]>
<![CDATA[Relationship between Using Masks and Incidence of Acute Respiratory Infection in Marble Stone Workers ]]>
<![CDATA[Wiwid Yuliastuti]]>;
<![CDATA[Suharyoto Suharyoto]]>;
<![CDATA[Suciati Suciati]]>;
<![CDATA[Leny Indrawati]]>;
<![CDATA[Aesthetica Islamy]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7353
<![CDATA[The use of personal protective equipment masks is an important factor in protecting workers from potential hazards while working in marble processing. Many diseases are caused by exposure to dust, especially acute respiratory infections (ARI). The purpose of this study was to determine the relationship between the use of masks and the incidence of ARI in marble stone workers in Besole village, Besuki Tulungagung district. The design of this study is an analytic association using a cross-sectional design. The population is all marble stone workers in Besole village, Besuki Tulungagung district. The sample size is 44 respondents, the sampling technique uses purposive sampling. The independent variable of this study is the use of masks and the dependent variable is the incidence of ARI. Data collection using a questionnaire was given to marble workers in Besole Village, Besuki Tulungagung sub-district. Data analysis used the Spearman Rho statistical test with Confidence Interval (CI): of 95% or = 0.05. The results showed that most of the respondents, 28 respondents (64%), wore masks and half of the respondents, 22 respondents (50%), had mild ARI. The statistical test results showed p value = 0.015 < α = 0.05 which means H0 was rejected so it can be stated that there is a relationship between the use of masks and the incidence of ARI in marble stone workers. The conclusion from the results of this study is the use of masks when working properly and correctly as self-protection from dust so that marble workers do not experience pain, especially ARI.]]>
<![CDATA[Development of an Automated Temperature Calibration Monitoring System Using Internet of Things for the Regional Meteorology, Climatology, and Geophysics Agency (Bmkg) in Medan ]]>
<![CDATA[Humam Maulana]]>;
<![CDATA[Kerista Tarigan]]>;
<![CDATA[Syahrul Humaidi]]>;
<![CDATA[Yahya Darmawan]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7819
<![CDATA[The Regional Meteorology, Climatology, and Geophysics Agency (BMKG) plays a crucial role in providing accurate and reliable services related to meteorology, climatology, and geophysics. Temperature observation is one of the important tasks carried out by the BMKG as it is essential for weather and climate forecasting, as well as for predicting natural disasters. To ensure the accuracy of the data, the thermometers used for temperature observation must be in good working condition and calibrated regularly. According to the Republic of Indonesia Law No. 31, Article 48, Year 2009 on Meteorology, Climatology, and Geophysics (MKG), all observation equipment must be in good working condition and calibrated regularly. Calibration is a crucial step in ensuring the accuracy and operational fitness of the observation equipment. The International Organization for Standardization (ISO) / International Electrotechnical Commission (IEC) 17025:2017 also emphasizes the importance of ensuring the quality and accuracy of all measurement instruments. The Calibration Laboratory at the BMKG Regional Office I in Medan is accredited with ISO/IEC 17025:2017 by the National Accreditation Committee (KAN). However, the calibration process can be time-consuming and requires constant monitoring to achieve stable data. During temperature and humidity calibration, the calibration laboratory's environment must be conditioned to maintain the performance of sensitive instruments that are susceptible to environmental changes. This study aims to design an automated temperature calibration monitoring system using the Internet of Things (IoT) to improve the efficiency of the calibration process and achieve maximum calibration results at the BMKG Regional Office I in Medan. The system will enable the calibration personnel to monitor the calibration process remotely and receive real-time data, allowing for more effective analysis and decision-making.]]>
<![CDATA[Projection of Climate Change on the Probability of Dengue Hemorrhagic Fever in North Sumatra Province ]]>
<![CDATA[Theresia Grefyolin Simbolon]]>;
<![CDATA[Erna Frida]]>;
<![CDATA[Marzuki Sinambela]]>;
<![CDATA[Marhaposan Situmorang]]>;
<![CDATA[Syahrul Humaidi]]>;
<![CDATA[Yahya Darmawan]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7754
<![CDATA[Climate change is a major threat to global prosperity. The industrial revolution has occurred since 1750 to 2010 where the increase in global air temperature has reached 0.7°C. Rising temperatures and fluctuating rainfall is the identification of climate change, one of the impacts of climate change is changing the distribution of some types of mosquitoes (Aedes Aegypti).Based on the results of the analysis of the main components, a good model uses an accuracy rate of about 85% and passes the test individually and as a whole. Indonesia has a tropical climate where warm temperatures and high rainfall variability are a comfortable habitat for Aedes Aegypti mosquitoes. The breeding and life cycle of the Aedes Aegypti mosquito is directly influenced by climatic conditions. The purpose of this study is to determine the normal rainfall map, an overview of climate projection patterns, identification of characteristics of climate change in the short term (2011 – 2040), medium term (2041 – 2070) and long term (2071-2100) based on rainfall and temperature projections in North Sumatra province. Statistical methods used to determine the effect of climate on health (dengue) include statistical downscaling, delta bias correction, Principal Component Analysis, and ordinal logistic regression. The results of the ordinal logistic regression analysis show that rainfall that is suitable for dengue fever ranges from 100 - 300 mm. For North Sumatra rainfall ranges from 50 - 600 mm. In March and November is the strongest threat because of the peak with high rainfall intensity where the danger of flooding and dengue. The air temperature ranges from 24.5 - 28.5 oC, this condition is still optimal for the development of the Aedes Aegypti mosquito. The climate change projection index for the short term (2011 - 2040), medium term (2041 - 2070) and long term (2071 - 2100) shows a consistent increase with a range of 0.40C, this value will affect the acceleration of the reproduction of the Aedes aegypti mosquito as the cause of DHF. The projection probability of dengue hemorrhagic fever shows that North Sumatra Province still has a high chance of being categorized as a high risk area for dengue fever with a probability value of 0.82 - 0.99.]]>
<![CDATA[Relationship between Emergency Level (Triage) and Anxiety Level of the Patient's Family ]]>
<![CDATA[Lasman Lasman]]>;
<![CDATA[Aesthetica Islamy]]>;
<![CDATA[Farida Farida]]>;
<![CDATA[Nurhidayati Nurhidayati]]>;
<![CDATA[Indah Rohmawati]]>;
<![CDATA[Dea Osella]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7377
<![CDATA[Anxiety is an emotional response to an assessment that describes a state of worry, anxiety, fear, and unrest accompanied by various physical complaints. During the treatment process, anxiety is not only felt by a patient but can also be experienced by the patient's family. The patient's family is one of the full decision-holders when the patient is in an emergency or critical condition and must be given immediate treatment. The research objective was to determine the relationship between the level of emergency (triage) and the anxiety level of the patient's family. The research design used was a cross-sectional analysis, the study was carried out on 30 May-13 June 2018 at the Emergency Room of RSUD Dr. Iskak Tulungagung. The sample in this study was the patient's family using a consecutive sampling technique, a sample of 30 respondents was obtained. Data was collected using the HARS questionnaire. Data were processed by editing, coding, scoring, tabulating, and analyzing with Spearman's rho statistical test. The results of the Spearman's rho statistical test, obtained a value of p = 0.000 to test the relationship between the level of emergency (triage) and the anxiety level of the patient's family. With a significant level value of = 0.05, which means there is a relationship between the level of emergency (triage) and the anxiety level of the patient's family. The conclusion from this study is that the higher the level of emergency (triage) of the patient, the more anxiety of the patient's family will affect. Recommendations for hospitals, especially in the Emergency Room, are expected to further improve communication between health workers and patient families. To reduce the possibility of anxiety by the family.Relationship between Emergency Level (Triage) and Anxiety Level of the Patient's Family.]]>
<![CDATA[Implementation of Monte Carlo Simulation in Evaluation of The Uncertainty of Rainfall Measurement ]]>
<![CDATA[Romeo Kondouw]]>;
<![CDATA[Kerista Tarigan]]>;
<![CDATA[Syahrul Humaidi]]>;
<![CDATA[Marhaposan Situmorang]]>;
<![CDATA[Mardiningsi Mardiningsi]]>;
<![CDATA[Yahya Darmawan]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7820
<![CDATA[Many factors trigger the uncertainty of rainfall measurement. Several factors can be related to the instruments, weather conditions, and acquisition methods. The degree of uncertainty could be obtained through the calibration process. In principle, rain gauges are calibrated based on the standard process ruled by ISO/IEC 17025 using the law of propagation of uncertainty (LPU). However, LPU requires complex and complicated mathematical calculations. An alternative approach is needed to evaluate measurement uncertainty besides the LPU method. This research used the Monte Carlo method to determine the uncertainty during the rainfall measurement. This method involves repeated random simulations by providing probability distribution on the input and output of rainfall measurement. The results showed that the Monte Carlo method can accurately determine the uncertainty of rainfall measurement. In addition, the uncertainty analysis also showed that instrument inaccuracy is the most significant factor that causes the uncertainty of rainfall measurement.]]>
<![CDATA[Characteristics of Extreme Rainfall Events in North Sumatra ]]>
<![CDATA[Sahata Pakpahan]]>;
<![CDATA[Tulus Ikhsan Nasution]]>;
<![CDATA[Marzuki Sinambela]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7755
<![CDATA[Extreme rain is an event that has an impact on various sectors of life. Therefore, this study aims to determine the spatial and temporal characteristics of extreme rain events in North Sumatra Province in the time period between 1991-2020. In accordance with the WMO recommended rain index, the frequency and intensity of rain were calculated using 50 rain stations spread across North Sumatra where the data had passed the quality control test for empty data. Spatial patterns were analyzed by mapping the climatological mean of the indices then for trend patterns were tested using the Mann-Kendal non-parametric test. The results showed that extreme rainfall events with low frequency and intensity occurred on the east coast while high frequency and intensity occurred in mountainous areas. Based on the temporal trend test, it shows that in general an insignificant trend dominates in this area. Significant and consistently increasing trends are only found at several points, namely in the districts of Deli Serdang (5 station), Batu Bara (1 station), Humbang Hasundutan (1 station), Langkat (2 station), Labuhan Batu Utara (1 station), Medan (1 station), Pematang Siantar (1 station) and Serdang Bedagai (1 station). Meanwhile, a significant and consistently decreasing trend was found in Asahan Regency (1 station), Simalungun (2 station), North Tapanuli (1 station), and North Labuhan Batu (1 station).]]>
<![CDATA[Analysis of Interaction Between Atmosphere and Sea Using The Delft3D Hydrodynamics Model for Mapping Coastal Flood Zone at Belawan Port and Coastal ]]>
<![CDATA[Rizki Fadhillah Pratama Putra]]>;
<![CDATA[Tulus Ikhsan Nasution]]>;
<![CDATA[Syahrul Humaidi]]>;
<![CDATA[Yahya Darmawan]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
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DOI: 10.33394/j-ps.v11i2.7773
<![CDATA[Belawan port and coastal areas were also not spared from the impact of the tidal flood. This study aims to determine the performance of the Delft3D hydrodynamic model in simulating sea level and waves in tidal floods at Belawan port and coastal area. Final operational global analysis data, MSLP data from NOAA/NCEP, and tidal data from ECMWF were used to run the Delft3D model. The model output was verified by using tide gauge observation data from BIG (Geospatial Information Agency). This research resulted in a mapping of areas affected by tidal flooding in the Belawan port and coastal area by analyzing the interaction between atmosphere, consisting of wind speed and direction parameters and sea parameters in the form of significant wave height. Based on the results of the Delft3D verification with observation data, the average error value is 23.5 cm and the coefficient of correlation is 0.93. This shows that the Delft3D model is quite good at simulating tidal flood heights in the Belawan port and coastal area. Based on atmospheric analysis, it does not really affect the increasing wave height. The influence is given by significant sea wave height, which can increase the height of tidal floods.]]>
