Settlement is the most important area in the activity of disaster mitigation. The Biggest detriment caused by disaster is generally placed at the settlement or residential area. Thereby, the identification of the settlement characteristics is required to be able to recognize the disaster risk. This research aim to identify the characteristics of the rural settlement on the coastal area in the District of Kulonprogo. This area is chosen based on the consideration of coastal morphological characters. This area have slopeslightly coastal zone which face to Indonesian Ocean. In this situation, hence in the event of tidal wave, there will be wide spread overflowing run up water. Two approaches is used in this research, they are; (1) Morphological Approach, and (2) Behaviour Approach. Both of the approaches is conducted with comparative perspective. The existance of the settlement which have been filtered through settlement and coastal tipology are compared. The data are collected and analyzed through: (1) Mapping and GIS tools; (2) survey method; (3) Indepth interview; and (4) statistical analysis. Thirty household are selected proportionally to setlement unit as a respondent in indepth interview. In order to analyze the data, descriptive analysis (frequency tables) and crossed tables are used. This research indicate that rural settlements on the coastal area in the District of Kulonprogo are spatialy distributed as a ribbon pattern. This pattern are coincident with the shape of the coast and the linearity of the road as well. Most of the buildings are in good condition, and they characterized by moderate housing density. In the term of coastal morphology, the research area is dominated by sandy coast with slopeslightly relief. Generally, the socio economic condition of the peoples living there are low to medium economic level, low education, and rarely medium income. Related to tidal flood vulnerability, this research area is the second level (moderate) hazardeous zone.
The aims of this research are: (a) to study and classify the landslide hazard level, and (b) to analysis morphometry and morphostructure slope at occurrence slides in the research area. The sampling method applied in this research was stratified sampling, landform units were applied as strata. The sample within strata was determined according the landslide hazard based factor that caused landslides. Analysed of morphometry and morphostructure conducted in described of landform units. The landslide location was mapped by determining landslide point with Global Position System (GPS), and morphometry slope analysis in three images with Digital Elevation Model (DEM) analysis. The results showed that the degree of landslide hazard in the research area could be classified into 9 units landform with 5 landslide hazard level, from very low until very high. At very high landslide hazard existed occurrence landslides at most, whereas at very low landslide hazard existed occurrence at least. From slope morphometry aspect, the point of the most landslide case is in mountain midle slope (11), lower slope (9), and upper slope (5). Flows type, soil fall, and rockfall all happen in lower slope. Landslide types almost (80%) happen in lower slope, whereas slump type happen in upper, middle, and lower slope. From slope form aspect, 70% landslide cases happen in concave slope position and slope classes 3-5 (>9%). From morphostructure aspect, the research area hasn’t difference because of weathering level and litology structure condition which is relatively similar. Concave and aslant slope condition become the concentration point of surface flow water and under surface which are predicted be the most influence factor that cause landslide.
The purpose of this community service, assess and understand; 1) learning implementation strategy IPS (Social Sciences) Curriculum 2013 based on lesson study in the School of Muhammadiyah Kartasura. 2) Rationalization and elements of curriculum change in 2013. 3) The process of learning and assessment processes appropriate to the curriculum in 2013. The method used; workshops and training. The Place; SMK Muhammadiyah Kartasura. Execution time; odd semester 2014/2015. Subject: Elementary School teachers, Junior High School, High School and Vocational High School Muhammadiyah Kartasura. The results achieved; 1) learning implementation strategy IPS (Social Sciences) curriculum-based lesson study 203 through three stages, namely; plan (planning), do (action and observation), see (reflection). 2) Rationalization and elements of curriculum change in 2013 stressed on; a) The scientific approach is based approach to encourage student creativity; b)Integrity of the competence of knowledge, skills, and attitudes; c) Integrity of the curricular, co-curricular and extra-curricular activities. 3) The learning process is emphasized in the curriculum in 2013; (A) Integrated Thematic for elementary school level, (b) Approach Science (Natural Sciences) and IPS (Social Sciences) of partitive aggregative be integrated melt (liquid integrative), (c) religious and moral education, (d) learning objects; natural phenomena, social, and cultural arts. While the emphasisin the assessment process; assessment student achievement by using descriptive qualitative and quantitative numerical. Learning implementation strategy IPS (Social Sciences) 203 curriculum-based lesson study using a modified model of lesson study, achievement indicators for a significant increase from the prior worhshop and trainingafter the workshop, namely; 30%: 80% (pre-test: post-test).
During the first year of the COVID-19 pandemic in Jakarta, Indonesia, the government designated some hospitals as specific COVID-19 healthcare centers to meet demand and ensure accessibility. However, the policy demand evaluation was based on a purely spatial approach. Studies on accessibility to healthcare are widely available, but those that consider temporal as well as spatial dynamics are lacking. This study aims to analyze the spatiotemporal dynamics of healthcare accessibility against COVID-19 cases within the first year of the COVID-19 pandemic, and the overall pattern of spatiotemporal accessibility. A two-step floating catchment area (2SFCA) was used to analyze the accessibility of COVID-19 healthcare against the monthly data of the COVID-19 infected population, as the demand. Such a spatiotemporal approach to 2SFCA has never been used in previous studies. Furthermore, rather than the traditional buffer commonly used to define catchments, the 2SFCA in this study was improved with automated delineation based on the road network using ArcGIS Service Areas Analysis tools. The accessibility tends to follow the distance decay principle, which is relatively high in the city’s center and low in the outskirts. This contrasts with the city’s population distribution, which is higher on the outskirts and lower in the center. This research is a step toward optimizing the spatial distribution of hospital locations to correspond with the severity of the pandemic condition. One method to stop the transmission of disease during a pandemic that requires localizing the infected patient is to designate specific healthcare facilities to manage the sick individuals. ‘What-if’ scenarios may be used to experiment with the locations of these healthcare facilities, which are then assessed using the methodology described in this work to obtain the distribution that is most optimal.
The aims of this study is know the characteristic of the clay mineral types in the landslides occurrence sites, and to examine the relation between the clay and intensity of landslides in Kulonprogo Mountains. Understanding of clay type character will be very important in the landslides disaster mitigation in the area landslides disturbed. This study use survey method, purposive sampling and qualitative analysis. At each landslides location soil sample was taken to determine the clay characteristic. The clay types was analysed by by X-Ray Diffraction. Spatial distribution of landslides based on the landforms unit supported by topographical map, geological map, and Digital Elevation Modell (DEM). The result of this study shows that clay mineral average in this landslides study location: caolin (70,64%), smectit/montmorillonit (15,12%), halite (4,33%), illite (2,99%), quartz (2,91%), cristabolite (2,28%), feldspar (1,34%), and goethite (0,39%). Clay mineral composition show that the interaction over land forming factors which make caolin forming in great quantities possible.
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