A disaster becoming a great issue and it always happens nowadays. A school becomes an appropriate tool for spread knowledge of disaster widely that happens in environs. SMA N 10 Semarang is a school that located in the prone area of tidal floods. However, the lesson material of disaster and students' literacy capabilities still restricted. Hence, disaster mitigation literacy must be owned by students. The aim of this study is to present the strategy disaster mitigation literacy through PBL learning in the school prone to tidal floods. This research has been done in SMA Negeri 10 Semarang. The method that used was mixed method. The data collection used with observation, test, and interview. The technique of analyzing the data that used in this research is descriptive analysis. The results showed that the disaster mitigation literacy in the majority experiment class was at level 5 and was better than the control class with the majority being at level 3. In detail, the literacy improvement strategy for the students is; 1) giving disaster mitigation of literacy education through PBL learning; 2) increase the quality of science literacy though various readings; and 3) encourage improvement of awareness and skills of individual about disaster that concerns in the surrounding environment. The results of this study can be used as a reference in integrating disaster education in particular the mitigation of disasters in school learning so that the school formed disaster preparedness with a strong generation of disasters.

The water quality in the northern coastal waters estuary of Central Java has been polluted at a moderate to severe level. Water quality monitoring efforts for evaluating the condition of dissolved sedimentation can be done through total suspended solid methods by analising the remote sensing imagery. Total suspended solid (TSS) is measured by suspended material (diameter> 1 µm) which retained in the millopore filter with a 0.45 µm pore diameter. The purpose of this research is to assess the distribution of TSS concentrations in the research location. This study was conducted using Landsat 8 image data on August 9th, 2018. TSS concentration values were obtained through linear regression tests Doxaran algorithm which is the most suitable algorithm with the field condition. The results showed that: 1) The appropriate empirical algorithm for mapping TSS concentrations is the Doxaran algorithm with the TSS equation = 1.0248x - 10.503, 2) Distribution of TSS with the range >75 mg/l mostly concentrated in center and west of the study area, while the concentration with range <75 mg/l is concentrated in the east, and 3) Distribution of TSS is affected by the movement of currents driven by the wind towards the west and southwest and partly collected in the western part of the study area.

Rawapening Lake has specific biogeophysical form, biodiversity potential and socioeconomic also ecological functions which are very important for people's lives and the surrounding environment. Even so, the facts showed that the activities of the population around Rawapening are growing so that problems arise in the form of environmental degradation that has continued to the present. This study aims to determine the development of land cover in the Rawapening River catchment starting from 2000, 2010 and 2019 on the sedimentation rate that occurred in Rawapening Lake. This study applies a Spatialecological approach by using multi-temporal remote sensing image data accompanied by field surveys and secondary data from related agencies. The tools used in this study are image processing software and Global Positioning System (GPS), while the data used utilizes RBI maps, Landsat 7 Satellite Images in 2010 and Landsat 8 in 2019. The results showed an increase in the area of developed land by 1,520.54 ha in the period 2000 -2010 and experienced an increase again in 2019 amounting to 1,330.96 ha. The increase in the area of land developed was due to land conversion, which was largely derived from vegetation cover in the water catchment area (DTA) of Rawapening, where the impact caused by the change in land cover increased the rate of sedimentation that occurred in Rawapening Lake. Therefore, it is necessary to limit the transfer of land functions in the DTA of Rawapening so that it does not cause siltation in Rawapening Lake in the future.

Purpose The purpose of this paper is to assess the land utilization in the erosion and landslide vulnerable mountainous region using the Rapid Appraisal for Agricultural Land Utilization (RApALU) model. Design/methodology/approach A multidimensional RApALU model is used for sustainable agriculture land utilization. Findings Ecological dimension was less sustainable, whereas socio-economic, socio-cultural, and eco-technological dimensions were comparatively more sustainable. It was found from the analysis that 9 out of 21 attributes have sensitive effect on the sustainability index and status. Practical implications One of the implications of this research is that this model could be used to quickly measure the arrangement of an area that is experiencing environmental problems so that the land use planning process could be done more effectively and efficiently. The parameters used in each variable could be chosen by the researchers themselves according to location. As far as known by the researcher, the methods used have not been well integrated, they are still separated, for example, only physical problems, and social problems have not been measured properly. This model is not perfect yet, and it could be developed further because environmental problems are very complex and could be different from one location to another. Originality/value RApALU analysis can be used as preliminary analysis to comprehend general and overall description on the status of the sustainability index of land utilization for agriculture in hilly mountainous regions. The study confirmed that RApALU analysis can help determine the status of the sustainability of land utilization in intricate areas. This technique was able to comprehensively identify important factors affecting sustainability status of various dimensions.

Kendal Regency as Special Economic Zone and Industrial Park is stimulating the rapid coastal urban growth. This condition initiates the high risk of disaster in the northern Central Java. The research aims to model the tidal run-up and spatial inundation distribution using numerical calculation of logical tool-less than equal and to identify the land uses that are affected by the tidal run-up and inundation in the Kendal coastal area. This research conducted by the digital elevation model in 7 m spatial resolution and the highest high-water level (HHWL) data in the one-year analysis. Furthermore, the data processing was run using Less than equal tools. The result showed that the HHWL condition in 2018 reached up to 0.35 m. Considering the HHWL data, the eastern coastal area of the Kendal Regency is massively being affected by the tidal run-up and inundation. The furthest distance of the tidal run-up and inundation reached up to 3.7 km. There are six land uses affected, i.e., built-up area (0.04%), garden (2.01%), dry land (4.89%), grassland (5.09%), a fish pond (41.95%), and paddy field (4.24%).