Changes in built up area which are increasingly rapid consequence of the latest data requirements for urban planning. On the other side the process of expansion of built up area without control can impact the destruction of lands that have ecological functions so that they have an effect on the onset of social and environmental disasters. Of the many cities in Indonesia, the City of Tasikmalaya is one of the most significant cities that develops the built-up area. Effective technology that can be used to predict the development of built up area in the City of Tasikmalaya is to utilize multitemporal landsat imagery. This study aims are 1) Identify changes in built up area in Tasikmalaya City and its surroundings based on multitemporal landsat imagery, 2) Predict the development of built up area in Tasikmalaya City. The research method uses remote sensing technology, multitemporal recording landsat imagery in 2002 and 2019, through landuse change modeler modeling. The results of this study indicate an increase in built up area from 2002 to 2019, predicted results of the development land built up in 2034 produce a probability of expansion 0.229 with the direction development from northeast to southwest.

The potential for disaster in an area is based on the geographical characteristics of a place and the living factors of the surrounding community. Community preparedness must be implemented to minimise the impact of an earthquake. This study aimed to determine the level of community preparedness in facing earthquakes in Cisarua District, Indonesia, based on the results of earthquake hazard mapping. The research used the quantitative Analytical Hierarchy Process (AHP) for earthquake hazard mapping and disaster preparedness using questionnaires. The AHP parameters include earthquake acceleration, distance from the Lembang fault, rock type, soil type, land use, slope and population density. The sample for this study comprised 80 respondents from six villages with a relatively high level of vulnerability, namely the villages of Jambupida, Padaasih, Pasirhalang, Pasirlangu, Kertawangi and Tugumukti. Data collection was carried out through interviews and site surveys based on a questionnaire consisting of variables like knowledge and attitudes, policies, emergency response plans, disaster warning systems and resource mobilisation with a total of 80 respondents. The study results concluded that community preparedness was included in the unprepared category with a total score of 211. Aspects of kinship and kinship relations between residents greatly influenced community preparedness, and knowledge and attitudes were considered sufficient with a weight of 4.4. Increased public awareness of the potential for earthquake disasters must routinely be carried out through disaster emergency response outreach and training activities in addition to improving residents’ emergency response facilities.Contribution: The study findings highlight the village community’s earthquake disaster preparedness with the support of integrated spatial mapping of disaster vulnerability. The lack of awareness of the village community in earthquake disaster mitigation increases the level of disaster risk in their area.

Interpretation of seismic 3D data using attributes analysis to determine the condition of the subsurface geology and distribution facies as physical geography study. The results of interpretation formed surface horizon analysis of structures located in the southwest (SW) is the high of the continuous anticline to the northeast (NE) and the structure of the valley are in the south (S) continuously until the northeast (NE). From the results of the RMS amplitude attribute map shows that high amplitude anomalies uneven section southwest (SW). Show areas indicated as coal facies deployment area and assuming a low impedance possibility for the existence of coal facies. The map dip, azimuth, dip-azimuth can be analyzed map depicts stance or azimuth direction and dip (slope) time domain structure with angle pattern shown seismic trace with section 4501 and the arbitrary line a - b and line c - d clarify seen a pattern of fractures (faults) on a small scale where the direction nearly perpendicular to the strike of major fault.

The ability to manage learning is a competency that must be possessed by a teacher, including geography teachers. Not only pedagogically, a geography teacher is expected to be able to convey geography learning contextually. To improve the capability of geography teachers during learning, it is necessary to increase the ability to master the materials by deepening advanced materials. This study was conducted to determine perceptions of mastery of advance materials for geography learning conducted to 142 geography teachers as respondents. This study is important given the lack of literature on the perception of geography teachers in mastering advanced materials. Based on the research results, the teacher conceptually understands what is meant by advance materials. This understanding can be seen at least from the teacher's ability to differentiate between advance materials and essential materials as well as teacher competence in sorting materials based on the depth of the materials.

Rice crops (Oryza sativa L) is a very important food crop in Indonesia. According to data from the FAO (Food and Agriculture Organization), in 2015 Indonesia was in third place after India and China as rice producing countries in the world with a total production of 75.6 million tons. The depletion of land due to land conversion (conversion) is one of the factors causing the downturn in the agricultural sector in Indonesia today. The narrowing of rice fields does not have an impact on decreasing rice production but also at the stage of Indonesian society whose livelihoods are farmers. Data and information on the development of rice plants are very important as a database for the formulation of sustainable food crop agricultural policies mandated in the Law of the Republic of Indonesia Number 41 of 2009. In addition, the covid-19 pandemic which is now sweeping the world, requires the government to adopt large-scale social rights policies. It also needs to be assessed whether it has an effect on agricultural production. The use of remote sensing technology is an effective and efficient alternative for spatial and temporal estimation and monitoring in obtaining information on land cover for rice plants. Through multispectral image classification using guided classification (supervised classification), with the maximum possible possibility (maximum likelihood), it is known that local food security in Tasikmalaya City during the COVID-19 pandemic is still guaranteed. This is with the current population of not less than 808,506 people, while the land cover area for rice crops consecutively from 2017 - 2020 are 454 ha; 606, 94 ha; 463, 23 ha; and 673.8 ha. So it can be denied that large-scale rebels have no effect on the productivity of agricultural land in Tasikamalaya City.