The provision of mathematics for autistic students has not gained a special concern. In fact, many autistic children have good mathematical skills and some are even excellent. It imposes teachers to formulate and create effective strategies to teach autistic students. The purpose of this study was to determine teacher behavior and how to teach students with autism effectively. This study was designed as a qualitative case study research. It involved mathematics teacher, assistant teacher, student, and parents. Data were obtained through observations and interviews. The autistic student's attitude and behaviors during mathematics learning were investigated. It included examinations on the supporting and inhibiting factors in mathematics learning in a school for students with special educational needs/SLB. The result indicated that mathematics learning for students with autism as performed in inclusive education was different from regular education programs, in which teachers were required to adjust materials with students' psychological condition. It also revealed that the students had had focus issues; hence materials were mostly conveyed outside the lesson plan, particularly to introduce the basic material. The supporting factors included parents' motivation for the student to learn and behave appropriately and well-designed learning packages. Meanwhile, limited learning media and school facilities, as well as the absence of special teachers for students with autism, became the inhibiting factors for mathematics learning.

This study aims to determine the relationship of junior high school students’ spatial and mathematical logical intelligence based on understanding the concepts. Spatial intelligence indicators in this study are reviewed from students’ abilities in using images as a tool for solving problems, connecting data with concepts that have been held, and finding patterns in solving problems. On the other hand, the indicators of students’ mathematical logical intelligence is observed by looking at students' abilities to mention and understand information that is known in a problem, to draw up a plan of completion and to do mathematical calculations correctly. The indicators of understanding concepts are restating a concept, providing examples and non-examples of concepts, and applying concepts or algorithms in problem solving. The research method in this research is the Ex Post Facto correlational type, with using a purposive sampling as the sampling technique. The results of the data analysis obtained a correlation coefficient is around 0.93 with 86% R square. The relationship between the spatial intelligence variables is shown by the understanding of concepts by 86%, the level of the relationship, with the correlation coefficient is 0.93, where mathematical logical intelligence with an understanding of 80%, with the level of the relationship of 0.89, and the relationship of spatial intelligence with a mathematical logical is described by a 77% level of the relationship, with 0.88, as the correlation coefficient. The results showed that there was a very strong relationship between spatial intelligence and logical mathematics in terms of understanding students' concepts.

Creative thinking skills one of the important aspects that must be possessed by students' mathematical thinking skills to connect mathematical concepts as well as the development of thinking processes in solving mathematical problems. The purposes of this research are to determine the level of students' creative thinking skills in solving Higher-Order Thinking questions and to investigate the students' creative thinking skills in solving Higher Order Thinking Questions. This research employed the descriptive qualitative method with 28 students who have passed the Calculus subjects the samples of the research determined through nonprobability sampling. The data were collected through tests and interviews. The research discovered that the average score obtained was 38.43%, specifically35.71%of the students were at the very creative level, 50% of the students were at the creative level, and 14, 29% of the students were at the fairly creative level. Students' creative thinking skills were lacking in creativeness and detail indicators. They were not able to solve problems properly and correctly. The fluency and flexibility indicators were in a good category. So, it can be concluded that the level of students’ creative-thinking skills in solving the Higher-Order Thinking Skills problems was at the creative level.

This study aims to compare several methods to get the best methods on forecasting the volume of Indonesian palm oil exports. In addition, this study also aims to estimate the volume of Indonesian palm oil exports for the next five years. Some of the forecasting methods used in this study are linear regression, exponential smoothing, and ARIMA. The data used is historical data on the volume of palm oil exports from 1981 to 2020. The results of calculations and analysis show that the exponential smoothing model of the damped trend method produces the smallest error value compared to other methods, the MAD value is 860,353, the MSE value is 1,707,738,707,222, the RSME value is 1,306,805, and the MAPE value is 20.6%. This method has chosen to be the best forecasting method for the next five years. The forecast results obtained that the volume of Indonesian palm oil exports for the next five years are28.864.223,31 tons, 28.967.062,92 tons, 29.064.976,80 tons, 29.158.200,89 tons, and 29.246.959,81 tons.

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