International Journal for Disaster and Development Interface

Mapping of Underdeveloped Areas Based On Research Frequency Utilizing Distributed Web Scraping and Web GIS

Alfian Nur Fathoni — 2022-12-20

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.

Risk Perception and Community Adaptation on The Coastal Slums Area in Facing Rob Flood (Case Study Pluit, North Jakarta Coastal)

Heni Marta Diana Matita Putti — 2023-01-22

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 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 — 2022-12-20

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 Km²to 150.87 Km²in 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 Km²to 65.63 Km²2 in 2021.

Analysis of MSME Business Sustainability in Mojolaban District, Sukoharjo Regency

Mia Aprilia — 2023-01-13

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.

Analysis of Land Potential Index on Agricultural Land In Magetan Regency

Muhammad Fahlikal Fiqhan — 2022-12-21

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.