The Aceh Tenggara (Southeast Aceh) District, especially Kutacane, is located along with the main GSF (Great Sumatra Fault) system and the Tripa segment in particular based on seismic hazard map of Indonesia 2017. Therefore, the seismic hazard map needs to be updated based on the recent seismotectonic information and the latest active fault investigations. This paper discusses the updated seismic hazard map for the Aceh Tenggara district. In seismic hazard calculation, input source definition including fault characteristics, subduction zone, and seismicity background. Ground Motion Prediction Equation (GMPE) is used by the Indonesian official seismic hazard map 2017 to compute the hazard curve of strong ground shaking. Probability exceeding 2% and 10% for 50 years is chosen to calculate PGA (Peak Ground Acceleration) map on bedrock. On the other hand, Kutacane is located on a younger alluvium basin in the Holocene epoch thus site sediment amplification effect is taken into account in the microzonation calculations (local scale). The geomorphological slope is used to estimate the Vs30 distribution map. The site amplification is calculated based on PGA value on bedrock and Vs30 value on each site location. The Probabilistic Seismic Hazard Analysis (PSHA) is applied to produce seismic hazard maps as also used since many scientists and engineers in Indonesia although for critical infrastructure Neo-Deterministic Seismic Hazard Analysis (NDSHA) is suggested to be applied. The newly updated seismic hazard map can be used for the reference of infrastructure development in order to reduce the risk of disaster.

The objectives of this study are as follows: (1) Developing ISLE-based STEM learning media, (2) Building 21st-century skills and character, (3) Analyzing the improvement of learning outcomes through lesson study. This research is a descriptive quantitative study developed at the STEM UNSYIAH Research Center and carried out at Unsyiah Laboratory High School. The instruments used in this study are validation rubric for media and material experts and Teacher Observation sheets and monitoring sheets for the increasing 21st-century character. Based on the data analysis: 1) Validation of the Moment of Inertia props from 2 media experts obtained an average percentage value of 86.4% with an excellent category. 2) Validation of Student Worksheet by two validators expert in material teaching obtained an average percentage value of 84.77% with an excellent category. 3) The teaching and learning results using teaching aids and LKPD through a Lesson Study conducted by the observer obtained a percentage with an average of 83.5% excellent category. 4) There is an increase in 21st-century character in students by 77% with an excellent category. ISLE-based STEM Learning Media is very suitable for improving 21st-century skills.

The development of technology in the 21st century is so rapid both in the field of sensor and data communication. In fact, almost all smartphones have used the technology. In addition to using cutting edge sensor technology, smartphones are also equipped with internet communication features so they can be categorized as IoT (Internet of Things) devices. However, both of these technologies have not been optimally used as a media for learning physics. This paper discusses the use of MEMs (Micro-electromechanical system) sensor (ADXL-345) to detect the oscillation of the spring-mass system. Data obtained by MEMs is read by IoT based Microcontrollers (NodeMCU EPS8266) and directly transferred to the intranet WIFI network via the UDP (User Datagram Protocol). The data transmitted in the UDP packet is received by a computer that is integrated with LabVIEW, a user-friendly software that is based on a Graphical Programming. Students were encouraged to conduct several experiments to investigate the dependence of the period of the spring-mass system on the mass, the spring constant, and the amplitude. The oscillation of the spring-mass system received by the computer recorded the amplitude and the period of oscillation. Then students will compare the data from various observational experiments to predict the relation among the variables. Finally, they tested their prediction by conducting a testing experiment. This learning model is using ISLE (Investigation Sciences Learning Environment) syntax where students constructed their knowledge about mechanics, especially about spring-mass system, and enjoyed their discoveries as scientists did. Since the learning media has used technology and also carried out engineering process stages and involved the calculation of mathematics to understand the measurement results, it can be said to have used the STEM (Sciences, Technology, Engineering, and Mathematics) approach. We observed that an atmosphere of “learning is fun” existed during the lesson.

In a process of learning, learning media play an important role in improving students’ understanding. In this study, a learning medium based on Internet of Thing (IoT) was developed. The IoT is one of core development in technology of Industrial Revolution 4.0 era. The learning media developed in this research study utilizing LoRa (Long Range Area) which functions as a remote data sender. The LoRa paired with Arduino connected to sensors and placed in several location within Banda Aceh. LoRa was integrated with Network Thing to store data and could be displayed on the PC. The researchers and students could observe the changes in air quality in relation to the changes in temperature, humidity, and air pressure from the data that have been stored in the Network Thing cloud. The students are motivated in the learning process to find out relationships between air quality and changes to the temperature, humidity, and air pressure. This is preliminary and ongoing research. The early data were collected from interviews with students after the learning process and collecting the results of the observation. Students’ interest increases with the integration of Science Technology Engineering and Mathematics (STEM) in the learning process. This was demonstrated by students during the learning process. From this learning process, students are also aware of the importance of reducing air pollution. Around 86% of students understand the concepts of subject learned and around 92% of students were motivated and enjoy during the learning.

This study aims to determine the relationship between misconceptions and thinking styles of students in modern physics course and to determine which type of thinking style is more dominant in relation to misconceptions. This type of research is a survey study with a quantitative approach. The samples in this study were 60 students who have followed the modern physics course. Data collection used a two-tier diagnostic test on modern physics and a thinking style questionnaire. The results of the analysis with the correlation test found that the types of thinking style Concrete Sequential (CS), Abstract Sequential (AS), and Random Abstract (RA) are negatively correlated with misconceptions or it can be said that there is almost no correlation with misconceptions, namely (-0.024), (-0.113) and (-0.082). Meanwhile, the type of concrete random thinking style (CT) has a positive correlation with misconceptions, but the relationship is weak (0.303). Based on these results, it can be said that the types of thinking styles of students tend to have no correlation with misconceptions. Even though the correlation between the two is low, it is necessary to pay attention to the thinking style of students in conveying concepts in modern physics.