International Journal for Disaster and Development Interface

Multi Hazard Analysis of Ponorogo Regency Disaster Based on Geographic Information System

2023-04-11T04:33:40+00:00

Ponorogo regency has dangers to several types of disasters such as floods, landslides, tornadoes, land fires, and droughts. Based on data from BNPD from the period 2000 - 2020, Ponorogo Regency has experienced 123 landslides, and 39 flood disasters. The approach used in this study is multi-hazard disaster. The purpose of the study is 1.) Analyze the spread of flood hazard levels in Ponorogo Regency. 2.) Analyze the spread of the danger level of landslide disasters in Ponorogo Regency.3.) Analyze the distribution of disaster hazard levels in Ponorogo Regency using a multi hazard index. The research methods conducted in this study are stacking and improvement, while for multi-hazard modeling of disasters using VCA tables. Data processing in this study is divided into 3 stages, namely parameter data processing, disaster hazard data modeling, and multi-hazard disaster modeling. The accuracy test is conducted on the usage data, and the sampling method is a random sampling method. Validation tests were conducted on data from modeling the hazards of floods and landslides. The results of this study are a disaster parameter data map, a flood hazard map, a landslide hazard map, and a multi-hazard disaster map. Based on the results of modeling, multi-hazard disaster has an area that is low hazard class has the widest area of 90,773.55 Ha (65%), The moderate hazard class has an area of 45,438.55 Ha (33%). The high hazard class has an area of 2,957.56 Ha (12%). The multi-hazard class is determined by the result of a combination of landslide and flood hazard classes, for example the combination of low and high hazard classes will produce a moderate hazard class. Therefore, the distribution of areas from the multi-hazard class of disasters is greatly influenced by the distribution of areas of both types of disasters.

Spatial Analysis of Changes in Land Use Against Detailed Spatial Plans (RDTR) in North Klaten District Using Geographic Information Systems (GIS) Year 2012-2020

2023-04-12T04:48:35+00:00

The study in this study was conducted in the North Klaten District. North Klaten District was chosen
because it has the highest population growth rate in Klaten Regency in 2012-2020. The higher the
population growth in an area, the higher the demand for land in the area and changes in land use
occur. A land that is continuously turned into a built-up area can lead to land use that is not in
accordance with the Detailed Spatial Plan that has been prepared by the regional government. This
study aims to analyze the distribution of land use change in North Klaten District in 2012-2020 and
analyze the suitability of land use changes to the Detailed Spatial Plan for 2011-2031. The research
method used is a survey method to test the accuracy of digitizing data on land use changes. The
sampling method used a purposive sampling method. The analytical method used is spatial analysis to
determine the distribution of land use changes and the suitability of land use changes to the Detailed
Spatial Plan. The first result of this study is the distribution of land use changes that occurred in
North Klaten District in 2012-2020 of 158.68 ha. The highest type of land change is rice fields into
settlements of 60.05 ha or 75.69%, this land change share occurs in all villages. The village with the
highest type of change from paddy fields to settlements is Belangwetan Village, which is 10.81 ha. The
second result of this study is the classification of the suitability of land use changes to the Detailed
Spatial Plan which is divided into two classifications, namely land changes according to the Detailed
Spatial Plan of 77.17 ha or 97.26% and land changes that are not according to the Detailed Spatial
Plan of 77.17 ha or 97.26% 2.17 ha or 2.74%. Changes in land use that are not in accordance with
the Detailed Spatial Plan can be caused by several factors, including the ignorance of some
communities regarding the existence of spatial regulations and the negligence of some communities in
complying with the spatial regulations that have been set by the government in making changes to
land use.

Spatial Correlation Study of Covid-19 Incidents with Unemployment Rates in East Java Province

2023-04-12T03:51:01+00:00

The COVID-19 outbreak has hit many countries in the world, including Indonesia. The impact is
extraordinary for the state order, one of which is in the economic sector. Starting from the problem of
the economic crisis, so that in Indonesia there were also massive layof s as a result of the covid-19
pandemic in which 90% of workers were laid of and 10% of workers were laid of . So this triggers an
increase in the unemployment rate in Indonesia. East Java Province also experienced an increase in
the unemployment rate in 2020. This study aims to analyze the spatial pattern of covid-19 and
unemployment, as well as analyze the spatial correlation of covid-19 with unemployment in East Java
Province using Moran Index analysis in the form of Univariate Moran's I and Bivariate Moran's I.
The results of the analysis show that the spatial pattern of Covid-19 and unemployment in East Java
Province are clustered. The results of the spatial correlation of covid-19 with unemployment show a
positive value, which means that there is a spatial correlation between covid-19 and unemployment in
the city/regency of East Java Province. Where cities/districts that have a high number of COVID-19
are surrounded by cities/districts with a high number of unemployed.

Analysis of the Impact of the Industrial Existence of PT. Lombok Gandaria to the Socio-Economic Condition of Dagen Village, Jaten District, Karanganyar Regency

2023-04-12T04:56:52+00:00

PT. Lombok Gandaria is an industry engaged in food in Karanganyar Regency, precisely in Dagen
Village. The existence of industry in the midst of society has a social and economic impact. The
objectives of this study are (1) to examine the socio-economic characteristics of the Dagen Village
community af ected by the presence of industry and (2) to examine the impact of the Dagen Village
community's socio-economic conditions on the existence of the industry. The type of this research is
descriptive quantitative which is presented with a table, while the method in this research is a survey
with data acquisition using a questionnaire and to determine the sample using the purposive sampling
method with the Slovin formula. The results showed that the existence of PT Lombok Gandaria's Soy
Sauce Factory in Dagen Village had both positive and negative impacts on the community. The
positive impact of the factory in the form of the availability of jobs, reduce unemployment, provide
business opportunities and af ect the income of traders. Meanwhile, the negative impact is in the form
of a very pungent smell of sewage and is disturbed by vehicles passing through the village.

Analysis of the Kampung Family Planning (KB) Program Pucangsawit Village, Jebres District and Sondakan Village, Laweyan District, Surakarta City

2023-04-12T04:11:33+00:00

Population growth is one of the social problems, in dealing with population growth the government
has a Family Planning Program (KB) . This program aims to improve public welfare and health,
reduce birth rates, raise the nation's standard of living, and reduce mortality rates in pregnant women
and infants. In its implementation, the government forms the KB Village Program which is located at
the village level area. The research was conducted in KB Pucangsawit Village and KB Sondakan
Village. This area was chosen based on the consideration of population growth which increases every
year so that it needs to be studied in the implementation of the Kampung KB Program. The purpose of
this study was to analyze the implementation of the Kampung KB program in the two regions and to
analyze the supporting and inhibiting factors found in the implementation of the Kampung KB
Program. This study uses a survey method and uses descriptive, quantitative and SWOT analysis.
From the research it shows that the Kampung KB Pucangsawit has an optimal classification while the
Kampung KB Sondakan has a less than optimal classification. While the education factor af ects the
implementation of the Kampung KB Program 97.69%: 92.11%, then the influence of income is
52.15%: 30.20%. The SWOT analysis shows the results of quadrant 1 so that there is an SO strategy
to use program opportunities, so as to minimize inhibiting factors and maximize supporting factors.