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Pringgokusuman Village is geographically located on the bank of the Winongo River which originates from the Merapi Volcano, so it has the potential risk of lahar floods and landslides. On the other hand, this village has a high density level which is dominated by 87 percent settlements area. The purpose of the study was to compile a participatory disaster map for flood and landslide disaster mitigation in Pringgokusuman Village, Yogyakarta City as an effort to support disaster mitigation learning and education for the community. The participatory mapping was carried out with indepth interview and Focus Group Discussion (FGD) activities focusing on flood and landslide. The results of the participatory disaster mapping include basic disaster information, the number of disaster events, the potential and risks of disasters that occur. The analysis of the results was analyzed qualitatively and then added with spatial information (spatial) with areas regarding disasters and potential disasters. The results of the FGD showed that the most common disasters were overflowing floods from the Winongo river and landslide along. This research can be used to supplement Geography lessons on the disaster theme. Kelurahan Pringgokusuman secara geografis berada di bantaran penggal Sungai Winongo yang berhulu dari Gunung Merapi, sehingga memiliki potensi risiko bencana banjir lahar dan tanah longsor. Disisi lain kelurahan ini memiliki tingkat kepadatan yang tinggi yang didominasi permukiman 87 persen. Tujuan penelitian ini adalah menyusun peta bencana secara partisipatif untuk mitigasi kebencanaan banjir dan longsor di Kelurahan Pringgokusuman Kota Yogyakarta sebagai upaya mendukung pembelajaran dan pendidikan mitigasi bencana untuk masyarakat. Pemetaan partisipatif dilakukan dengan wawancara mendalam dan kegiatan Fokus Grup Diskusi (FGD) berfokus pada bencana banjir dan longsor. Hasil dari pemetaan partisipatif kebencaan tersebut antara lain informasi dasar kebencanaan, jumlah kejadian bencana, potensi dan risiko bencana yang terjadi. Analisis hasil dilakukan secara deskriptif kualitatif kemudian ditambahkan informasi keruangan (spasial) dengan informasi area. Hasil FGD menunjukkan bencana yang sering terjadi adalah banjir luapan dai sungai Winongo dan longsor di sepanjang Winongo dan saluran selokan. Penelitian ini dapat menjadi suplemen dalam pembelajaran Geografi terkait tema bencana.

Bali is an island situated among the Indonesian archipelago with huge potential to host mangrove forests. Using remote sensing technology advances, satellite images, such as Landsat images, might be employed to analyse mangrove forest distribution and density. This paper presents an analysis of mangrove distribution in Badung Regency and Denpasar City, Bali, as a basis for the management and conservation of mangrove ecosystems. This study used Landsat 8 OLI images and a vegetation index to analyse the mangrove forest distribution and density in this area. It started by identifying mangrove forests using the RGB 564 band and continued to distinguish between mangrove and non-mangrove objects using unsupervised classification, before analysing mangrove density using the NDVI formula. The results show that the mangrove forest area in 2020 was 1,269.20 ha, with an accuracy rate of 83%. Mangroves were found on the deepest or most curved coastline of the Benoa Bay area, on enclosed waters. This distribution follows the river network in the lower reach, which has thick deposits and is uninfluenced by large currents and waves. Based on the vegetation index analysis results, the mangrove forest area observed mainly had a moderate density, with a total area of 510.85 ha (40%), followed by high density (413.15 ha/ 33%) and low density (340.51 ha/ 27%).

INCREASED COMMUNITY PREPAREDNESS IN FACING THE COVID 19 PANDEMIC IN KOTABARU URBAN VILLAGE, YOGYAKARTA CITY. Coronavirus Disease 2019 (Covid-19) is a disease that is transmitted between humans through droplets caused by the corona virus, attacks the respiratory tract so that it can cause high fever, cough, flu, shortness of breath and sore throat and even death. The number of covid-19 cases has always increased every day to become a world problem, including the Kotabaru Yogyakarta City. This area has high socio-economic activities that involve direct physical contact. This study aims to improve community preparedness in RT 16 RW 04, Krasak Village, Kotabaru Village, Yogyakarta City in the face of the Covid-19 pandemic. Public knowledge about Covid-19 is an important asset in prevention efforts to minimize transmission by taking precautions at the individual and community levels, implementing health protocols, and promotional media. The research method used a qualitative descriptive analysis of the phenomenon of the study subject and the purposive sampling method for determining correspondence. The research instrument used a questionnaire containing several questions about covid-19 knowledge. The parameters listed are public knowledge about Covid-19 and its origins, characteristics, how to protect themselves, prevention, and access to information. The results of the study of 34 respondents showed that 26% had low knowledge, 59% had moderate knowledge, and 15% had high knowledge regarding covid-19. Community empowerment activities carried out include dissemination of information on covid-19, implementing PHBS (Clean and Healthy Lifestyle) behavior, forming a Covid-19 task force at the RT level, forming a food barn, and providing assistance in the form of funds and goods, and food for residents who carry out self-quarantine.

Availability of Spatial Data Infrastructure (SDI) has an important role in disaster management. The purpose of this research is to analyze the readiness of the Spatial Data Infrastructure (IDS) as an effort to mitigate the lava flood in Kali Putih, Magelang Regency, Central Java. The research method was carried out by interview, survey and secondary data collection and SWOT analysis. The results of the SWOT analysis, on the Strength-Opportunity matrix, conclude that the optimization of Spatial Data Infrastructure (IDS) and the Indonesian National Standard (SNI) in the field of Geospatial Information (IG). The Strenght-Threath analysis concludes the need to use quality spatial data for government agencies. Opportunity - Weakness analysis concludes that there is a need for Web GIS development and the need to improve the quality of GI and the quality of human resources in the field of GI. Threat-Weakness analysis resulted in a conclusion, namely the need to refer to the one map and one data policy as well as the ID and SDI field policies. Ketersediaan Infrastruktur Data Spasial (SDI) memiliki peran penting dalam manajemen bencana. Tujuan penelitin ini adalah untuk menganalisis kesiapan Infrastruktur Data Spasial (IDS) sebagai upaya mitigasi banjir lahar di Kali Putih Kabupaten Magelang Jawa Tengah. Metode penelitian dilakukan dengan wawancara, survei dan pengumpulan data sekunder serta analisa SWOT. Hasil analisa SWOT, Strenght-Opportunity disimpulkan perlunya optimalisasi Infrastruktur Data Spasial (IDS) dan Standar Nasional Indonesia (SNI) bidang Informasi Geospasial (IG). Analisis Strenght-Threath menyimpulkan perlunya penggunaan data spasial yang berkualitas bagi intansi pemerintah. Analisis Opportunity – Weakness menyimpulkan bahwa perlu adanya pengembangan Web GIS dan perlunya peningkatan kualitas IG dan kualitas SDM di bidang IG. Analisis Threat-Weakness menghasilkan kesimpulan, yaitu perlunya mengacu pada kebijakan satu peta dan satu data sert kebijakan bidang ID dan SDI.

Coronavirus Disease (COVID-19) pandemic is currently being a concern in all parts of the world, including Indonesia. Yogyakarta Special Region, especially Sleman Regency, is a red zone, which is an area that has a very high transmission rate of Covid-19. Padukuhan Mancasan Kleben, is one of the hamlets located near the government center of Sleman Regency where community activity and mobility are quite high. There are many business buildings located along the main road. The purpose of this research is to analyze the vulnerability to transmission of Coronavirus Disease (COVID-19) based on building function using Analytical Hierarchy Process (AHP) and Spatial Multi Criteria Evaluation (SMCE) methods. Types of buildings as houses and store are identified using Unmanned Aerial Vehicle (UAV) image. Types of buildings used as physical variables in the analysis. Based on the result, from total of 363 buildings, there are 35 buildings that have a high level of vulnerability and 328 buildings with low vulnerability. A low level of vulnerability is found in buildings that function as shophouse. Meanwhile, the low level of vulnerability is found in buildings used as houses and public facilities. This is because during the pandemic, several public facilities in Mancasan Kleben are not yet operational. Mitigation efforts that need to be implemented are increasing awareness of ourselves and the surrounding environment. The implementation of healthy living habits by implementing CITA MAS JAJAR, avoiding crowds and not traveling if it is not too important, can help prevent the transmission of Coronavirus Disease (COVID-19)

Abstrak Pengembangan ekonomi kewilayahan menjadi salah satu isu dalam mendukung persaingan usaha secara global (Phijaisanit, 2017). Usaha Mikro Kecil Menengah (UMKM) sebagai salah satu roda perekonomian rakyat memiliki peran penting dalam membuka lapangan pekerjaan dan mengurangi pengangguran di Indonesia. Tujuan dari penelitian ini adalah untuk mengetahui potensi pengembangan UMKM di Kabupaten Sleman ditinjau dari kondisi kependudukan dan mengetahui persebaran UMKM di Kabupaten Sleman dan analisis potensi pengembangan UMKM di Kabupaten Sleman. Metode penelitian menggunakan pen­dekatan kuantitatif dengan menggunakan data sekunder tentang jumlah UMKM di Kabupaten Sleman. Hasil penelitian menunjukkan tipe piramida penduduk Kabupaten Sleman adalah tipe ekspansif dengan kondisi usia 20-29 paling banyak (termasuk dalam golongan usia produktif), potensi ini dapat dikembangkan dengan melakukan kegiatan usaha untuk mengurangi pengangguran. Kondisi UMKM dengan jumlah tertinggi adalah kelas sedang dengan nilai 41%, jumlah UMKM paling banyak masih rendah dengan nilai 24%. Melalui data analisis spasial persebaran UMKM di Kabupaten Sleman dapat menjadi dasar pengambilan kebijakan dalam pengembangan UMKM oleh pemerintah maupun stakeholder. Kata kunci: spasial, UMKM, kebijakan. Abstract Regional economic development is one of the issues in supporting business competition globally (Phijaisanit, 2017). Usaha Mikro Kecil Menengah (UMKM) as one of the wheels of the people's economy have an important role in opening jobs and reducing unemployment in Indonesia. The purpose of this study was to find potention in terms of population conditions and to know out the distribution of UMKM in Sleman Regency and analysis of UMKM development potential in Sleman Regency. The research method uses a quantitative approach using secondary data about the number of UMKM in Sleman Regency. The results showed that the pyramid type of the population of Sleman Regency is expansionary with the condition of the age of 20-29 at the most (included in the productive age group), this potential can be developed by conducting business activities to reduce unemployment. The highest total number is the moderate class with a value of 41%, the highest . Through data on the distribution of UMKM several sub-districts in Sleman Regency have good potential with an indication of the number of UMKM and turnover has a high class, namely Sleman District, Ngaglik District, and Kalasan District. Through data spatial analysis of the distribution of UMKM in Sleman Regency can be the basis of policy making in the development of UMKM by the government and stakeholders. Keywords: spatial, UMKM, policy

One of the most devastating disasters in Indonesia was the Mount Merapi eruption in 2010. After the eruption there still exists the secondary hazard of volcanic mudflow, which has caused damage and casualties. Volcanic mudflow is a mixture of pyroclastic material and rainwater, meaning that in the rainy season the area along rivers becomes a high volcanic mudflow hazard, including the area along Putih River in Magelang Regency, Central Java Province. The development of Spatial Data Infrastructure (SDI) plays an important role in disaster management, especially in disaster mitigation efforts. Building an SDI which shares information on spatial conditions in the area along the Putih River could save many lives and reduce the risk from volcanic mudflow. This research was conducted employing interview surveys, field surveys and secondary data collection at government institutions. The results of the analysis have provided a geoportal prototype as an information gateway for the mitigation of volcanic mudflow along the Putih River and the reduction of disaster risk both for the government and community.