International Journal for Disaster and Development Interface 2023-04-12T04:56:52+00:00 Andri N. R. Mardiah Open Journal Systems <p>International Journal for Disaster and Development Interface is an international, peer-reviewed, open access and scientific journal on disaster management published semi-annually on April and October online by <strong><em>Amcolabora Institute.</em></strong> This journal free access and free submission for reader and author. The scope of the journal includes:</p> <ul> <li>All area of Disaster Management (Preparedness, Mitigation, Response, Recovery)</li> <li>Disaster studies, modelling, and analysis</li> <li>Development policy and planning against disaster</li> <li>Disaster and development disruption</li> <li>Environmental issues and climate changes </li> <li>Sustainable Development Goals</li> <li>Green/Blue/Circular Economy and Planning</li> <li>Resilience studies</li> </ul> Multi Hazard Analysis of Ponorogo Regency Disaster Based on Geographic Information System 2023-04-11T04:33:40+00:00 Bayu Fikri Hanafi Kuswaji Dwi Priyono <p><em>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.</em></p> 2023-04-11T00:00:00+00:00 Copyright (c) 2023 Bayu Fikri Hanafi, Kuswaji Dwi Priyono 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 Agata Adi Nugroho Agus Anggoro Sigit <p>The study in this study was conducted in the North Klaten District. North Klaten District was chosen<br>because it has the highest population growth rate in Klaten Regency in 2012-2020. The higher the<br>population growth in an area, the higher the demand for land in the area and changes in land use<br>occur. A land that is continuously turned into a built-up area can lead to land use that is not in<br>accordance with the Detailed Spatial Plan that has been prepared by the regional government. This<br>study aims to analyze the distribution of land use change in North Klaten District in 2012-2020 and<br>analyze the suitability of land use changes to the Detailed Spatial Plan for 2011-2031. The research<br>method used is a survey method to test the accuracy of digitizing data on land use changes. The<br>sampling method used a purposive sampling method. The analytical method used is spatial analysis to<br>determine the distribution of land use changes and the suitability of land use changes to the Detailed<br>Spatial Plan. The first result of this study is the distribution of land use changes that occurred in<br>North Klaten District in 2012-2020 of 158.68 ha. The highest type of land change is rice fields into<br>settlements of 60.05 ha or 75.69%, this land change share occurs in all villages. The village with the<br>highest type of change from paddy fields to settlements is Belangwetan Village, which is 10.81 ha. The<br>second result of this study is the classification of the suitability of land use changes to the Detailed<br>Spatial Plan which is divided into two classifications, namely land changes according to the Detailed<br>Spatial Plan of 77.17 ha or 97.26% and land changes that are not according to the Detailed Spatial<br>Plan of 77.17 ha or 97.26% 2.17 ha or 2.74%. Changes in land use that are not in accordance with<br>the Detailed Spatial Plan can be caused by several factors, including the ignorance of some<br>communities regarding the existence of spatial regulations and the negligence of some communities in<br>complying with the spatial regulations that have been set by the government in making changes to<br>land use.</p> 2023-04-12T00:00:00+00:00 Copyright (c) 2023 Agata Adi Nugroho, Agus Anggoro Sigit Spatial Correlation Study of Covid-19 Incidents with Unemployment Rates in East Java Province 2023-04-12T03:51:01+00:00 Nicken Ayu Andhika Mayangsari Choirul Amin <p>The COVID-19 outbreak has hit many countries in the world, including Indonesia. The impact is<br />extraordinary for the state order, one of which is in the economic sector. Starting from the problem of<br />the economic crisis, so that in Indonesia there were also massive layof s as a result of the covid-19<br />pandemic in which 90% of workers were laid of and 10% of workers were laid of . So this triggers an<br />increase in the unemployment rate in Indonesia. East Java Province also experienced an increase in<br />the unemployment rate in 2020. This study aims to analyze the spatial pattern of covid-19 and<br />unemployment, as well as analyze the spatial correlation of covid-19 with unemployment in East Java<br />Province using Moran Index analysis in the form of Univariate Moran's I and Bivariate Moran's I.<br />The results of the analysis show that the spatial pattern of Covid-19 and unemployment in East Java<br />Province are clustered. The results of the spatial correlation of covid-19 with unemployment show a<br />positive value, which means that there is a spatial correlation between covid-19 and unemployment in<br />the city/regency of East Java Province. Where cities/districts that have a high number of COVID-19<br />are surrounded by cities/districts with a high number of unemployed.</p> 2023-04-12T00:00:00+00:00 Copyright (c) 2023 Nicken Ayu Andhika Mayangsari, Choirul Amin; Fransyudha Abandhika 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 Latifah Hanisa Prihapsari Priyono Priyono <p>PT. Lombok Gandaria is an industry engaged in food in Karanganyar Regency, precisely in Dagen<br>Village. The existence of industry in the midst of society has a social and economic impact. The<br>objectives of this study are (1) to examine the socio-economic characteristics of the Dagen Village<br>community af ected by the presence of industry and (2) to examine the impact of the Dagen Village<br>community's socio-economic conditions on the existence of the industry. The type of this research is<br>descriptive quantitative which is presented with a table, while the method in this research is a survey<br>with data acquisition using a questionnaire and to determine the sample using the purposive sampling<br>method with the Slovin formula. The results showed that the existence of PT Lombok Gandaria's Soy<br>Sauce Factory in Dagen Village had both positive and negative impacts on the community. The<br>positive impact of the factory in the form of the availability of jobs, reduce unemployment, provide<br>business opportunities and af ect the income of traders. Meanwhile, the negative impact is in the form<br>of a very pungent smell of sewage and is disturbed by vehicles passing through the village.</p> 2023-04-12T00:00:00+00:00 Copyright (c) 2023 Latifah Hanisa Prihapsari, Priyono 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 Dhiani Nur Fa’izah Priyono Priyono <p>Population growth is one of the social problems, in dealing with population growth the government<br>has a Family Planning Program (KB) . This program aims to improve public welfare and health,<br>reduce birth rates, raise the nation's standard of living, and reduce mortality rates in pregnant women<br>and infants. In its implementation, the government forms the KB Village Program which is located at<br>the village level area. The research was conducted in KB Pucangsawit Village and KB Sondakan<br>Village. This area was chosen based on the consideration of population growth which increases every<br>year so that it needs to be studied in the implementation of the Kampung KB Program. The purpose of<br>this study was to analyze the implementation of the Kampung KB program in the two regions and to<br>analyze the supporting and inhibiting factors found in the implementation of the Kampung KB<br>Program. This study uses a survey method and uses descriptive, quantitative and SWOT analysis.<br>From the research it shows that the Kampung KB Pucangsawit has an optimal classification while the<br>Kampung KB Sondakan has a less than optimal classification. While the education factor af ects the<br>implementation of the Kampung KB Program 97.69%: 92.11%, then the influence of income is<br>52.15%: 30.20%. The SWOT analysis shows the results of quadrant 1 so that there is an SO strategy<br>to use program opportunities, so as to minimize inhibiting factors and maximize supporting factors.</p> 2023-04-12T00:00:00+00:00 Copyright (c) 2023 Dhiani Nur Fa’izah, Priyono