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Computational thinking that is an essential skill which everyone should learn, especially in Computational Physics courses. Problems in learning Computational Physics courses in the Department of Physics was the ability of students in analyzing problems and designing algorithms for programming is weak, especially since the last 5 years. Therefore, the indication of this condition is the learning outcomes of students in the Computational Physics course that do not reach the mastery learning standard. The capability required to analyze problems and programming design algorithms is the ability to think critically and computionally. This paper will explain the circumstances that influence Critical and Creative Thinking Skills of students in Computational Physics courses. Next, based on the above, we have conducted research that aims to describe the factors that affect students in critical and creative thinking on the subject of Computational Physics. The data were collected using a Likert-scale questionnaire that have 60 statement items. This questionnaire was distributed to 100 college students who have been and are taking a course in Computational Physics. So, the results showed the factors that influence the critical and creative thinking of college students such as the ability to read the book, the time to learn and do the exercises given, learning resources used, students’ understanding of the goals of Computational Physics lectures, student interest in Physics courses Computing, the curiosity of the students being taught, the student’s enjoyment of the Computational Physics course.

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Numerous studies have been conducted on an inversion method, focus on constraining factor,singuler value, speed of convergence. However, the result of inversion is not unique and bivalent. In this research, we optimize of Least-Square constrain by using damping factor. Th is method used for interpretation of the volumes and rock structure in Malalak Distric of Agam West Sumatra. This is undertaken because Malalak districts of Agam West Sumatra that passed by highway Padang and Bukittingi is a frequent area of landslide. Furthermore, the frequency of the landslide depends on the type of rock and the angle of the slope . The depth of the slide surface can be predicted by using the least squares inversion constrain method of Geoelectric Resistivity. Landslides resulted in disruption of transportation between the city of Padang and another district in Sumatra. Based on the above, to determine the rock's structure, the depth and tilt angle of the slide surface in Malalak districts Agam West Sumatra has to take place. Data obtained through Geoelectrical exploration using with automatic resistivitymeter equipment. Constrains were obtained using the Marquat inversion method. The result of the research is first, the damping factor for structures which have wide range resistivity is 0.02 and the smallest damping factor is 0.015. Second, the rock structure in Malalak of Agam consists of clay, sandstone, andesite, and limestone and dolomite. Implementation this research can be used to develop mitigation of landslide deserter.

The Covid-19 pandemic requires people to work remotely from home or Work from Home (WFH), including lecture activities. The goal of WFH is to break the chain of spread of the corona virus. Transfer of lecture activities from campus to home as an effort to maintain social distancing. Like it or not, students must learn more independently. Many students respond well to online learning when it is implemented. However, students actually experience difficulties in learning after the online lecture process is running which has an impact on decreasing the quality of their learning. This survey research aims to determine the obstacles faced by physics students in participating in the online learning process during the Covid-19 pandemic. The research sample of 331 respondents who have participated in the online learning process activities in the Covid-19 pandemic were taken randomly. The research instrument was a questionnaire sheet distributed on google form for 20 days. The results showed that students tended to choose the learning process on campus compared to studying online. The factor influencing online learning are the internet network, the readiness of students to receive and send information and the accessing the Learning Management System (LMS). The influence of these factors is found by students when they take courses in Disaster Management, Fundamental Physics, Mathematical Physics, Computational Physics, Algorithms and Computer Programming.