cover
Contact Name
Andri N. R. Mardiah
Contact Email
editor@ijddi.net
Phone
+6221-87906583
Journal Mail Official
editor@ijddi.net
Editorial Address
Headquarter Ruko Anggrek Grand Depok City Jl. Boulevard C1 No 31, Tirtajaya, Sukmajaya, Depok, Jawa barat 16421 Representative Office Jl. Raya Sukahati No.58 Cibinong, Bogor – 16913 publisher@amcolabora.or.id (+6221) 879 065 83
Location
Kota depok,
Jawa barat
INDONESIA
International Journal for Disaster and Development Interface
Published by Amcolabora
ISSN : 28078349     EISSN : 28078349     DOI : -
Core Subject : Education, Social,
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 Amcolabora Institute. This journal free access and free submission for reader and author. The scope of the journal includes: All area of Disaster Management (Preparedness, Mitigation, Response, Recovery) Disaster studies, modelling, and analysis Development policy and planning against disaster Disaster and development disruption Environmental issues and climate changes Sustainable Development Goals Green/Blue/Circular Economy and Planning Resilience studies
Articles 49 Documents
Mapping of Underdeveloped Areas Based On Research Frequency Utilizing Distributed Web Scraping and Web GIS Alfian Nur Fathoni; Diah Priyawati
International Journal for Disaster and Development Interface Vol. 2 No. 2 (2022): October 2022
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2333.495 KB)

Abstract

Indonesia is one of the countries that have many scattered areas. One of the issues of the many scattered areas is the development of underdeveloped areas. Scientific research can be used as a reference for increasing the development of an area based on the frequency of an area being the object of research by representing the data represented in maps and statistics. A histogram map will help in the process of analyzing areas and topics that are not covered by the research. The data collection technique used is distributed parallel web scraping to speed up the collection process from 46,280 regions in Indonesia. The system development method used is the SDLC (Software Development Life Cycle) waterfall starting from requirements analysis, system design, development, testing, and maintenance. The results are that the distributed scraping process generates data faster than running a single scraper. Scraping result data will be processed into maps and statistics that can assist researchers in interpreting and figuring out underdeveloped areas in Indonesia. 
Analysis of the Influence of Development of Builded Land on the Increase of Surface Temperature Related to the Urban Heat Island Phenomenon in Depok City Bayu Aditya Pratama; Jumadi
International Journal for Disaster and Development Interface Vol. 2 No. 2 (2022): October 2022
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1604.419 KB)

Abstract

Depok City is a satellite city with a strategic location, thus triggering urbanization. Urbanization is one of the causes of the increase in population, in 2011 the population of Depok City reached 1,813,612 people, in 2021 it would become 2,056,335 people. The increase in population and limited urban land resulted in the conversion of non-built land use into built-up land. Built-up land absorbs and reflects heat, so the surface temperature is high. The development of built-up land can result in an increase in surface temperature and trigger the Urban Heat Island (UHI) phenomenon. This study aims to identify the distribution of land cover and surface temperature, analyze the ef ect of built-up land cover development on the increase in surface temperature, and analyze the relationship between the increase in surface temperature and the distribution of UHI in Depok City in 2011 and 2021. Landsat image data processing methods are used to obtain classifications. land cover using the Maximum Likelihood algorithm, a survey was conducted to validate the results, then the classification of surface temperature was obtained using the Mono-Window Brightness Temperature algorithm. UHI identification is obtained by using the threshold value equation. The ef ect of built-up land cover development on the increase in surface temperature was tested using simple linear regression. The results showed the development of the distribution of built-up land cover, in 2011 it had an area of 116.98 Km2 to 150.87 Km2 in 2021. The distribution of surface temperatures in Depok City in 2011 was dominated by class II surface temperatures with an area of 132.29 Km2, while in 2021 dominated by surface temperature class IV with an area of 126.03 Km2. The development of built-up land cover has an influence on the increase in surface temperature by 40.5%. The increase in surface temperature is directly proportional to the increase in the UHI threshold value, the distribution of UHI in Depok City in 2011 has an area of 52.09 Km2 to 65.63 Km2 2 in 2021.
Analysis of Land Potential Index on Agricultural Land In Magetan Regency Muhammad Fahlikal Fiqhan; Agus Anggoro Sigit
International Journal for Disaster and Development Interface Vol. 2 No. 2 (2022): October 2022
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1870.037 KB)

Abstract

Magetan Regency is an area with dominant agricultural land use, but over time, changes in the primary sector economy to an industrial and service sector economy have made conversion of agricultural land to non-agriculture unavoidable. To support sustainable development without disturbing the role of the agricultural sector and so that the role of the agricultural sector does not always depend on the availability of land, it is necessary to evaluate the land so that the available land is designated according to its potential. The aims of this study were (1) to analyze the Land Potential Index in Magetan Regency (2) to analyze the potential of agricultural land in Magetan Regency, and (3) to analyze suitability of agricultural land potential with the spatial plan in Magetan Regency. The method used in this study is a tiered quantitative method, the overlay method, and the cross table method. The land potential index in Magetan Regency consists of 4 potential classes, very low area of 2,494 ha, low area of 22,197 ha, medium area of 24,730 ha, high area of 21,517 ha. The potential of agricultural land in Magetan Regency consists of 4 classes, namely very low potential of 152.6 Ha, low potential of 9,946.1 Ha, medium potential of 14,120.9 Ha, and High potential of 14,129.7 Ha. Agricultural land in Magetan Regency has 36.16% conformity with the regional spatial plans area designation plan and 63.8% discrepancy.
Risk perception and Community Adaptation on the coastal slums area in facing rob flood (Case Study Pluit RW 22, North Jakarta Coastal) Heni Marta Diana MP; Osmar Shalih; Andri N.R. Mardiah
International Journal for Disaster and Development Interface Vol. 2 No. 2 (2022): October 2022
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3263.389 KB)

Abstract

Rob flood as one of the impacts of climate change causes disruption of community activities, especially in coastal slum areas that are prone to losing their homes. However, the community's response to moving from slums is very small, even though the area of the rob flood is predicted to increase in 2030 in line with increasing global warming. This study aims to look at the risk perception of coastal slum communities in responding to the impact of climate change. This research was conducted using phenomenological methods where data is obtained through Primary Surveys (Observations and deep interviews) and Secondary Surveys (internet and digital documentation). The results showed that people in coastal slums actually know the impact of climate change, but the ability to move from where they live is limited so they carry out adaptation strategies to increase resilience in responding to the impacts of climate change.
Analysis of MSME Business Sustainability in Mojolaban District, Sukoharjo Regency Mia Aprilia; M. Iqbal Taufiqurrahman Sunariya
International Journal for Disaster and Development Interface Vol. 2 No. 2 (2022): October 2022
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (793.337 KB)

Abstract

Mojolaban sub-district is one of the sub-districts in Sukoharjo which has the highest MSME business compared to other sub-districts, namely 42 types of MSME. MSME has been running for generations for the last 10 years. During the last 10 years, the income level of Mojolaban District has decreased due to weak consumer purchasing power. One of them is the MSME gamelan in Wirun Village which has decreased until it stops producing. The spatial planning strategy needs to be carried out to restore the income of the residents of Mojolaban District, so it is expected to be able to contribute either directly or indirectly to the economy of MSME owners in Mojolaban District. The aims of this study are to find out the distribution pattern of industry in Mojolaban sub-district, to analyze the level of industrial business sustainability in Mojolaban sub-district, to analyze the industrial business sustainability strategy in Mojolaban sub-district. This research method uses a qualitative deductive method using a field survey. The population and the number of samples used are 80 people consisting of tile MSME, brick MSME, fish MSME, and alcohol MSME. Data collection uses primary and secondary data. Primary data consists of surveys and interviews, while secondary data is obtained from government agencies, published journals, the internet, and from existing research. The analytical method used is spatial analysis and quantitative descriptive analysis. The results of this study indicate that the distribution pattern of the tile, brick, and alcohol MSME businesses has a clustered distribution pattern, while the fish MSME business has a random pattern. The level of sustainability of the roof tile MSME business is 56.35%, the brick MSME business continues at 58.3%, and the fish and alcohol MSME business shows 100% continuous. The strategy for the sustainability of the title MSME business is to improve the quality of production, increase the amount of production and maintain good production quality. The strategy carried out by the alcohol MSME business is to maintain the quality of production. Meanwhile, the fish and brick MSME business strategy is carried out by increasing the number of workers and the quality of production.
Multi Hazard Analysis of Ponorogo Regency Disaster Based on Geographic Information System Bayu Fikri Hanafi; Kuswaji Dwi Priyono
International Journal for Disaster and Development Interface Vol. 3 No. 1 (2023): April 2023
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v3i1.41

Abstract

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 Correlation Study of Covid-19 Incidents with Unemployment Rates in East Java Province Nicken Ayu Andhika Mayangsari; Choirul Amin
International Journal for Disaster and Development Interface Vol. 3 No. 1 (2023): April 2023
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v3i1.43

Abstract

The COVID-19 outbreak has hit many countries in the world, including Indonesia. The impact isextraordinary for the state order, one of which is in the economic sector. Starting from the problem ofthe economic crisis, so that in Indonesia there were also massive layof s as a result of the covid-19pandemic in which 90% of workers were laid of and 10% of workers were laid of . So this triggers anincrease in the unemployment rate in Indonesia. East Java Province also experienced an increase inthe unemployment rate in 2020. This study aims to analyze the spatial pattern of covid-19 andunemployment, as well as analyze the spatial correlation of covid-19 with unemployment in East JavaProvince 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 JavaProvince are clustered. The results of the spatial correlation of covid-19 with unemployment show apositive value, which means that there is a spatial correlation between covid-19 and unemployment inthe city/regency of East Java Province. Where cities/districts that have a high number of COVID-19are surrounded by cities/districts with a high number of unemployed.
Analysis of the Kampung Family Planning (KB) Program Pucangsawit Village, Jebres District and Sondakan Village, Laweyan District, Surakarta City Dhiani Nur Fa’izah; Priyono Priyono
International Journal for Disaster and Development Interface Vol. 3 No. 1 (2023): April 2023
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v3i1.45

Abstract

Population growth is one of the social problems, in dealing with population growth the governmenthas 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 womenand infants. In its implementation, the government forms the KB Village Program which is located atthe village level area. The research was conducted in KB Pucangsawit Village and KB SondakanVillage. This area was chosen based on the consideration of population growth which increases everyyear so that it needs to be studied in the implementation of the Kampung KB Program. The purpose ofthis study was to analyze the implementation of the Kampung KB program in the two regions and toanalyze the supporting and inhibiting factors found in the implementation of the Kampung KBProgram. 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 theKampung KB Sondakan has a less than optimal classification. While the education factor af ects theimplementation of the Kampung KB Program 97.69%: 92.11%, then the influence of income is52.15%: 30.20%. The SWOT analysis shows the results of quadrant 1 so that there is an SO strategyto use program opportunities, so as to minimize inhibiting factors and maximize supporting factors.
Analysis of Land Use for Tourism Development in Bayat District, Klaten Regency Mardika R, Richa; Taryono, Taryono
International Journal for Disaster and Development Interface Vol. 3 No. 2 (2023): October 2023
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v3i1.46

Abstract

The choice of research location in Bayat District is due to the use of land for tourism development inBayat District, Klaten Regency. This district stores various tourist attractions that are highlyrecommended to visit, besides being known for its pottery, batik, and Angkringan crafts, it turns outthat Bayat District also has tourist attractions that are no less interesting, especially Rowo Jomborand Sidoguro Hill, usually known as Tourist Hill, which is one of the most popular tourist attractionsin the area. a must-visit destination when visiting Klaten. One of the important assets owned by thelocal government of Klaten Regency which is the basis for regional economic growth is tourism. Withthe number of tourist areas, the welfare of the community has increased because there are manybusiness areas around the tourism area. But since the coronavirus as it is currently the tourism sectoris experiencing a collapse due to the impact of covid-19 and the implementation of PPKM, butcurrently the government is revitalizing the tourism sector so that unemployment does not increase.Bayat District is part of the Klaten Regency area which has a lot of potential both in terms of itsnatural conditions and the diverse social conditions of its people. This study aims to analyze thetourism factors in Bayat District and to know the evaluation of tourism development in Rowo Jomborand Sidoguro Hill. The method used is using qualitative methods, for data collection itself thisresearch uses primary and secondary data obtained by direct and indirect observations. The results ofthis study indicate that the availability of facilities and infrastructure is quite good, there is acomparison of visitors from year to year, and the mapping of the Rowo Jombor and Sidoguro Hilltourist areas in Krakitan Village and the results of the development evaluation show that there is anincrease in both physical and social factors.
Spatial Analysis of Changes in Land Use Against Detailed Spatial Plans (RDTR) in North Klaten District Using Geographic Information Systems (GIS) Year 2012-2020 Agata Adi Nugroho; Agus Anggoro Sigit
International Journal for Disaster and Development Interface Vol. 3 No. 1 (2023): April 2023
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v3i1.47

Abstract

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