In this study, research using guided inquiry was conducted to improve students' ability to think critically. By improving and making the worksheets the students of this research are expected to make it easier to understand a lesson. The development step in this study is to conduct a preliminary study as the first stage, then pre-product planning and development, after which the pretest, product prerevision and field test are carried out. Data collected in this study was carried out by observation, documentation, interviews, questionnaires and tests. In addition, student worksheets are validated based on media and material, which will be given revisions based on suggestions from the media, matrices, and experts. The participants of this study were students Junior High School of SMP Negeri 30 Bandar Lampung, Indonesia. The final results in this study, showed that the development of guided inquiry based worksheets was able to improve students' critical thinking power, which was obtained from the results of good category values, namely 71.07% on average students in mathematical critical thinking.
The purpose of this study was to determine the increase of students' creative thinking, which taught using problem-based learning with local culture (PBL-Local Culture). In this study also saw the interaction between students' gender and students' prior mathematics ability. This type of research is quasi-experiment research, using pre-test post-test control group design. Data were analyzed using SPSS 25 through Two-Way ANOVA. The result shows that increasing the creative thinking abilities of students taught using problem-based learning with local culture is significantly higher than the creative thinking abilities of students taught using classical learning. Based on the result, we found that the use of problem-based learning local culture (PBL-Local Culture) offered the opportunity to give student new experience to solving real problems in their daily life, primarily related in their local culture. Students can describe how to solve the daily life problem with mathematically modelling. This learning model has given the facility to students at the end to improve their creative thinking ability. Students make the new model of problem-solving and finally they can solve that problem with their model. This study also found that the factor of students' gender and students' prior mathematics ability has not given the effect of students' creative thinking ability. It means that there is no gap in gender and the contribution of students' prior mathematics ability in students' academic skills. Based on this study, we recommendation of this model to using in other subjects in the learning class and to improving other learning ability, not limited in creative thinking ability.
In this modern era, gaining additional income is necessary to fulfill daily needs since inflation is unavoidable. Investing in stocks can give passive income to help people deal with the increasing prices of necessities. However, selecting stocks and constructing a portfolio is the major problem in investing. This research will illustrate the stock selection method and the optimization method for optimizing the portfolio. Stock selection is carried out by clustering using Self-organizing Maps (SOM). Clustering will show the best stocks formed for a portfolio to be optimized. The best stocks that have the best performance are selected from each cluster for the portfolio. The best performance of the stock can be determined using the Sharpe Ratio. Optimization will be carried out using a Genetic Algorithm. The optimization is carried out using software R i386 3.6.1. The optimization results are then compared to the Markowitz Theory to show which method is better. The expected return on the portfolio generated using Genetic Algorithm and Markowitz Theory are 3.348458 and 3.347559975, respectively. While, the value of the Sharpe Ratio is 0.1393076 and 0.13929785, respectively. Based on the results, the best performance of the portfolio is the portfolio produced using Genetic Algorithm with the greater value of the Sharpe Ratio. Furthermore, the Genetics Algorithm optimization is more optimal than the Markowitz Theory.
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