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<![CDATA[The Effect of the 5E Learning Cycle Model on the Critical Thinking Skills of Junior High School Students in Learning Science ]]>
<![CDATA[Tsabitah Amaliyah]]>;
<![CDATA[Rusdianto Rusdianto]]>;
<![CDATA[Supeno Supeno]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
Publisher : <![CDATA[IKIP Mataram ]]>
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DOI: 10.33394/j-ps.v11i2.7223
<![CDATA[Critical thinking skills are very important to be acquired by the students in the 21st century. In science learning, students are required to think critically. However, students’ critical thinking skills at the junior high school level are included in the low category. The 5E learning cycle model is the learning model that is considered can train the student's critical thinking skills optimally. The purpose of this study was to examine the effect of the 5E learning cycle model on junior high school students' critical thinking skills in science learning and to describe the improvement of junior high school students’ critical thinking skills. This type of research is experimental research with a quasi-experimental design and nonequivalent (pretest and posttest) control-group design. The results of the study for the effect test using the independent sample t-test obtained the value of Sig. (2-tailed) of 0.016 which means <0.05. The implication is that the 5E learning cycle model has a significant effect on the thinking skills of junior high school students in learning science. For the improvement test using N-Gain, an average N-Gain of 0.5875 was obtained which was included in the moderate category, then the results of the paired sample t-test obtained a Sig value. (2-tailed) of 0.000 which means <0.05. The conclusion was the 5E learning cycle model has a significant effect on junior high school students’ critical thinking skills in science learning and it can improve junior high school students' critical thinking skills in the moderate category.]]>
<![CDATA[Bibliometric Analysis: Research Trends of Raspberry Pi-Based Egg Incubators in the Last Ten Years (2013-2022) ]]>
<![CDATA[Meta Yantidewi]]>;
<![CDATA[Jhulinda Nizar Wati]]>;
<![CDATA[Utama Alan Deta]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
Publisher : <![CDATA[IKIP Mataram ]]>
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DOI: 10.33394/j-ps.v11i2.7119
<![CDATA[Technological developments that continue to increase provide an impetus for scientists to conduct research, One of them is the field of animal husbandry and instrumentation by making Raspberry Pi-based egg incubators. A device that replicates an incubator by keeping eggs at the right humidity uses a Raspberry Pi microcontroller to incubate the eggs. This research objective is to find out how far the development of the number of international publications using the Google Scholar database and to find out the development map of international research publications based on keywords. Data collection by searching Google Scholar with the keywords "Egg Incubator Raspberry pi", "Egg Incubator IoT" in 2013–2022. Trends in the development of international publications analyzed using software in the form of VOSviewer. From the bibliometric analysis carried out, it was found that the system, egg incubator, Raspberry pi, and IoT continues to dominate research on "Egg incubator Raspberry pi". The research will focus on controlling temperature and humidity which is systematized by IoT-based Android to save time, effort and cost. The research results obtained by Bibliometric analysis are not too dominant so that there is still an opportunity to continue research in literature review and become future innovations.]]>
<![CDATA[Gender in Problem Based Learning: Curiosity Analysis, Problem Understanding, and Problem Solving Ability ]]>
<![CDATA[Yusuf Yusuf]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
Publisher : <![CDATA[IKIP Mataram ]]>
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DOI: 10.33394/j-ps.v11i2.7733
<![CDATA[Research objectives This is analyze the effect of problem-based learning and gender on students' curiosity, problem understanding, and problem-solving abilities. This research was conducted on two classes of Mataram Model X Madrasah Aliyah students who were selected using cluster random sampling technique. Student curiosity data was measured using a questionnaire instrument, while problem understanding and students' problem solving abilities were measured using a question test instrument. Then, the data were analyzed by MANOVA at a significance level of 5%. The results showed that problem-based learning had a significant effect on curiosity and problem solving abilities, but did not have a significant effect on problem understanding. . The curiosity of male students is higher than that of female students, but the opposite occurs in the conventional group in classes taught with problem-based learning. The problem comprehension of male students was lower than that of female students in both study groups. problem solving of female students is higher than the group of male students. However, gender has no significant effect on curiousity, problem comprehension , and problem solving ability. The interaction of problem-based learning and gender has no significant effect on curiousity problem comprehension and problem solving abilities.]]>
<![CDATA[Projection of Tourist Climate Comfort Level Period 2031-2050 in Caldera Toba Geopark ]]>
<![CDATA[Alfonsius Chrisandy Pratama Siregar]]>;
<![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 ]]>
Publisher : <![CDATA[IKIP Mataram ]]>
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DOI: 10.33394/j-ps.v11i2.7756
<![CDATA[Tourism is one of the economic sectors that is developing relatively rapidly and has the potential to become a source of foreign exchange due to an increase in the number of tourists. Caldera Toba Geopark is one of the UNESCO-owned Geoparks in Indonesia as a tourist destination that depends on natural potential to be vulnerable to climate change. The relationship between climate and tourism from the comfort index is needed in determining tourist comfort. Climate parameters that become the calculation of the climate comfort index such as air temperature, rainfall, wind speed, length of sunshine and cloud cover are part of the thermal, physical and aesthetic aspects of climate comfort weighting. Climate projection data in this study is the RCP 4.5 scenario with the ACCESS 1-3 model. Using the TCI and HCI methods, the results of the temporal pattern analysis on the climate comfort index for the period 2031-2050 have a 'Bimodal - Shoulder Peak' distribution pattern. Based on the results of the spatial pattern analysis, the level of tourist climate comfort for the period 2031-2050 both with TCI and HCI methods is dominated by the comfortable category index where the peak comfort occurs in December with a very comfortable category. The lowest comfort level with the TCI method occurs in June in the comfortable category, while the HCI method in July with a comfortable category. In the end, the results of this study provide recommendations for the best tourist time in the Caldera Toba Geopark from September to December. The recommended geosite locations are Simanindo - Batu Hoda and Hutatinggi - Sidihoni geosites.]]>
<![CDATA[The Effect of Resistivity of Used Cooking Oil on The Quality of Palm Cooking Oil ]]>
<![CDATA[Masherlina Masherlina]]>;
<![CDATA[Kerista Tarigan]]>;
<![CDATA[Syahrul Humaidi]]>
<![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.v11i2.7774
<![CDATA[Indonesia is a country with a large area of oil palm plantations, so there are many factories for the production of cooking oil. Indonesian people use a lot of cooking oil because processed food in Indonesia is mostly fried which causes a lot of used cooking oil to be wasted. The purpose of this study was to determine the resistivity of used cooking oil on the quality of palm cooking oil which can be useful in the field of renewable energy and reduce environmental pollution due to excessive waste of palm cooking oil which can cause damage to aquatic ecosystems, pollute the soil, and cause health problems. Used cooking oil can be processed properly so it is not harmful to the environment and health. One of the steps in processing used cooking oil is to know its resistivity value as the beginning of the refining process. Used cooking oil has a resistivity value that contrasts with soil so it is easy to interpret. Thus it is expected to know the resistivity value of used palm cooking oil. The results of this test obtained the resistivity value of used cooking oil after frying five times, namely 13.320 Ohm meter.]]>
<![CDATA[Study of the Utilization of WRF Model Output Data to Produce Daily Flood Forecast Maps in the North Sumatra Region ]]>
<![CDATA[Mega Sirait]]>;
<![CDATA[Syahrul Humaidi]]>;
<![CDATA[Marzuki Sinambela]]>;
<![CDATA[Marhaposan Situmorang]]>;
<![CDATA[Erna Frida]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
Publisher : <![CDATA[IKIP Mataram ]]>
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DOI: 10.33394/j-ps.v11i2.7735
<![CDATA[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.]]>
<![CDATA[Design of Analytical Balance for Calibration of Measuring Cup of Observatory Type Rain Gauge with Automatic Pump ]]>
<![CDATA[Muhammad Wildan Abdulmajid]]>;
<![CDATA[Kerista Tarigan]]>;
<![CDATA[Syahrul Humaidi]]>;
<![CDATA[Marhaposan Situmorang]]>;
<![CDATA[Perdinan Sinuhaji]]>;
<![CDATA[Yahya Darmawan]]>
<![CDATA[ Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023 ]]>
Publisher : <![CDATA[IKIP Mataram ]]>
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DOI: 10.33394/j-ps.v11i2.7825
<![CDATA[The Observation type rain gauge is a manual type rain gauge that requires a measuring cup to measure rainfall in millimeters (mm) of rain. Precise measurement requires calibration of the measuring cup so that the scale reading on the measuring cup can be trusted. Calibration of measuring cups using the mass method related to volume can use an analytical balance. Technological developments can make manual analytical balance calibration automatic by utilizing microcontrollers and pumps in filling the volume. The design of the analytical balance gets results where the average correction value for the 50 ml set point is 0.001ml, the 100 ml set point is -0.760 ml, the 150 ml set point is -0.024 ml, the 200 ml set point is -0.739 ml, and the 250 ml set point is 0.628 ml. The uncertainty value for all set points is ±0.58 ml. The correction value at each set point is different, this is influenced by the value of the measuring cup meniscus, water temperature, and Load Cell sensor. The data generated by the tool can be downloaded through the Arduino IDE application and produced files in Excel.]]>
<![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 ]]>
Publisher : <![CDATA[IKIP Mataram ]]>
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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.]]>
