Assessment of 21st Century Skills

This chapter describes an action research in which creative story writing was used to assess student understanding of graph construction. Students were encouraged to write stories involving motion and visually depict verbal descriptions of stories in the form of tables and line graphs. Student work revealed several misconceptions held by students vis-à-vis writing motion-based stories, tabulation of data, plotting of graphs, and establishing congruence between stories and graphs. This study suggests several feedback measures that can be used by teachers to rectify these misconceptions.

Prediction and Analysis of Covid-19 with various Machine Learning algorithms

The world was stuck by a deadly virus last year, which stopped the world and changed it completely. The virus was given the name “Corona.” It has had an everlasting effect on human lives which has caused a lot of people to study about it, following the trend we have chosen “Prediction and analysis of Covid - 19 with different ML algorithms and comparative analysis” as the title of this paper. The title of the paper is self-explanatory to explain what the paper is about and what technology will be used in the paper. The paper will use data cleaning and plotting techniques to analyse the impact and effect of Covid on human lives and various algorithms to predict how vulnerable the person is to the virus / predict whether a person suffered from Covid or not based on various parameters. The main ingredient of the paper will be the data on which the model will be built, will be collected through various Google forms or through open source data websites such as Kaggle. The paper would be divided into various parts, which will include data collection, data cleaning, data plotting etc. After cleaning of data and building of models using various ML algorithms, findings will be reported in a form of report using various plots to favour the findings of the various models.

Desain Pintu Air Berbantu Komputer Untuk Saluran Irigasi Tersier di Daerah Irigasi Cikarawang Bogor

Irrigation water gate was one of the supporting components of agricultural activities, especially the management of rice fields, because it was utilized in the management of water flow. The implementation of water gate has a complex and interdependent set of tasks. So that was the problem which can made undesired effects. So that, the planning can be shorted by computer design . Besides, the changes in a design could be overcome quickly and precisely. The purpose of this research is to the effective rainfall, evapotranspiration, discharge of irrigation water needs in the Cikarawang irrigation area, produce a design of computer-aided water gate, and know RAB for the construction of the water gate. The study was conducted from April to July 2020. The place to do the research was Cikarawang Village, Bogor Regency, West Java. The results of the study were the design of water gate by using data plotting with computer-aided script files (SCR). The effective rainfall of 1806.3 mm, the highest evapotranspiration of 5.5 mm/day and the lowest evapotranspiration of plants at 4 mm/day, the highest irrigation water demand was 2.18 lt/dt/ha, The dimensions of 0.5 x 0.75 x 0.012 m, and water gate opening 0.27 m. These water gate openings were used when the plant's water requirements are highest. The cost of making water gate made from fiberglass is Rp. 838.000,-while for steel costs Rp. 3.500.000,-.

Mathematics Model on Syariah Share Pricing in ISSI

The ability to read, analyze data, and execute the Syariah economic market agents' decision becomes possible to happen. This research aims to help agents and those how to read the data, analyze, and model the data by providing perspectives regarding the stock pricing in the future. The research method being employed as Autoregressive Integrated Moving Average (ARIMA), which has steps of data plotting transforming, estimating the model, and forecasting. The results of this research found that ARIMA (1,1,0) is the best model of Syariah stock pricing on Indonesian Syariah Stock Indexing (ISSI). The test of model reliability employs RMSE, AIC, BIC/SBC, which is resulted in a fair, competitive suitable test to the employed model.Keywords: ARIMA, Mathematical Model, Forecasting, Stock

PERBANDINGAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE DAN METODE DOUBLE EXPONENTIAL SMOOTHING DARI HOLT DALAM MERAMALKAN NILAI IMPOR DI INDONESIA

As a form of purchased goods from other state’s imports have impacts both positive and negative to the states’s condition; therefore, prediction is required. Employing Autoregressive Integrated Moving Average (ARIMA) and Holt’s Double Exponential Smoothing (DES) methods, this study intends to identify which of the methods is the most accurate to predict Indonesia’s import value. The ARIMA method stage involved: data ploting, data stasioneriation, temporary model identification, parameter estimation, test residual assumption, and prediction. Moreover, the Holt’s DES method involved: data plotting, initial value determination, optimal parameter identification, Level Lt and Trend Tt value quantification, andprediction. The result shows that ARIMA method is the most accurate method to predict Indonesia’s import value.

A CURE for physiological characterization of bacterioplankton in liquid culture

ABSTRACTBacterial characterization is an important aspect of microbiology that includes experimentally determining growth rates, environmental conditions conducive to growth, and the types of energy sources microorganisms can use. Researchers use this information to help understand and predict an organism’s ecological distribution and environmental functions. Microbiology students generally conduct bacterial characterization experiments in their coursework; however they are frequently restricted to model organisms without ecological relevance and for which the results have been known for decades. We present a course-based undergraduate research experience (CURE) curriculum to involve students in characterization of previously untested, ecologically relevant bacterioplankton cultures to identify the carbon substrates used for growth, as well as the temperature and salinity ranges conducive to growth. Students use these results to connect their organism’s physiology to the isolation environment. This curriculum also exposes students to advanced microbiology methods such as flow cytometry for measuring cell concentrations, teaches them to use the programming language R for data plotting, and emphasizes scientific communication through writing, speaking, poster creation/presentation, and social media. This CURE is an attractive introduction to scientific research and was successfully tested with 147 students during the fall semester of 2018.

Hydrology of Mountain Blocks in Arizona and New Mexico as Revealed by Isotopes in Groundwater and Precipitation

Mountain-block groundwater in the Southern Basin-and-Range Province shows a variety of patterns of δ18O and δ2H that indicate multiple recharge mechanisms. At 2420 m above sea level (masl) in Tucson Basin, seasonal amount-weighted means of δ18O and δ2H for summer are −8.3, −53‰, and for winter, −10.8 and −70‰, respectively. Elevation-effect coefficients for δ18O and δ2H are as follows: summer, −1.6 and −7.7 ‰ per km and winter, −1.1 and −8.9 ‰ per km. Little altitude effect exists in 25% of seasons studied. At 2420 masl, amount-weighted monthly averages of δ18O and δ2H decrease in summer but increase in winter as precipitation intensity increases. In snow-banks, δ18O and δ2H commonly plots close to the winter local meteoric water line (LMWL). Four principal patterns of (δ18O, δ2H) data have been identified: (1) data plotting along LMWLs for all precipitation at >1800 masl; (2) data plotting along modified LMWLs for the wettest 30% of months at <1700 masl; (3) evaporation trends at all elevations; (4) other patterns, including those affected by ancient groundwater. Young, tritiated groundwater predominates in studied mountain blocks. Ancient groundwater forms separate systems and mixes with young groundwater. Recharge mechanisms reflect a complex interplay of precipitation season, altitude, precipitation intensity, groundwater age and geology. Tucson Basin alluvium receives mountain-front recharge containing 50%–90% winter precipitation.