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MAPPING POTENTIAL REGION OF THE AGRICULTURAL SECTOR  AREA TO INCREASE ECONOMIC DEVELOPMENT IN PENAJAM PASER UTARA REGENCY Kumalawati, Rosalina; Pratomo, Rahmat Aris; Budiman, Puput Wahyu; Saputra, Erlis; Susanti, Ari; Rijanta, Rijanta; Raharjo, Jany Tri; Danarto, Wisnu Putra; Murliawan, Karnanto Hendra; Yuliarti, Astinana; Muhtar, Ghinia Anastasia; Anggraini, Rizki Nurita
International Conference On Social Science Education Vol 1 (2023): 1st International Conference On Social Science Education
Publisher : Jurusan Pendidikan Ilmu Pengetahuan Sosial, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/9ms4w716

Abstract

Indonesia is an agricultural country and a developing country which has the potential for inequality in development. Inequality in development is increasingly felt in several areas, including Jakarta. As Jakarta becomes more densely populated with increasingly complex problems, there is talk of moving the nation's capital to East Kalimantan Province. North Penajam Paser Regency is one of the locations for moving the new national capital. It is hoped that the relocation can overcome population problems and development inequality. Developmental inequality will continue to occur if it does not receive serious attention. Development inequality can be overcome by paying attention to regional potential, especially in the agricultural sector. Seeing this, it is very necessary to carry out research with the title "Mapping Potential Region of the Agricultural Sector to Increase Economic Development in Penajam Paser Utara Regency". The research was conducted in Penajam Utara Paser Regency using quantitative research methods. The types of data used are primary data and secondary data. Data collection techniques include documentation, observation, interviews, and interview guides, while analysis techniques use Location Quotient (LQ) and Shift Share analysis. The research results show that the agricultural sector's production results are quite varied, from the production of rice, secondary crops, vegetables, and biopharmaceuticals. The highest production result was rice production reaching a total production of 65,534.9 tons over 10 years. Babulu District is the region that produces the largest rice with a total production of 56,688.1 tons over 10 years. Several types of plants have basic commodities so they have the potential to be developed to help improve the community's economy, even though their growth rate is relatively slow. The relatively slow growth rate for each existing commodity means that none of the agricultural sector's commodities are considered superior or mainstay commodities. As we know, the largest average contribution to GRDP comes from the mining and quarrying sector, like other areas in East Kalimantan that are famous for their natural resources, not the agricultural sector.
Mapping of Land Surface Deformation Using Ps-Insar for Disaster Risk Management in the Future Kumalawati, Rosalina; Ali, Syamani D; Yuliarti, Astinana; Raharjo, Jany Tri; Rijanta, Rijanta; Saputra, Erlis; Susanti, Ari; Budiman, Puput Wahyu; Anggraini, Rizky Nurita
JURNAL GEOGRAFI Vol. 16 No. 2 (2024): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v16i2.42810

Abstract

DKI Jakarta is experiencing land subsidence due to overexploitation of its use and the increasing population. It is feared that this decline or deformation will occur in the location of the new national capital. The research objective is "Mapping of Land Surface Deformation using PS-InSAR for Disaster Risk Management in the Future." Quantitative and qualitative research and data collection methods use secondary and primary data. Secondary data in the form of Permanent Scatterers Interferometry Synthetic Aperture Radar (PS-InSAR) Sentinel-1A images to determine soil deformation. Primary data uses a questionnaire to assess disaster risk management. Data analysis uses spatial and statistical analysis. Spatial analysis for land deformation mapping and statistical analysis for risk management. The results showed that the pattern of land deformation before the determination of the location of the capital city of Indonesia was random. On the other hand, after decision-making, it appears to be more systematic and homogeneous in adjacent areas with a decreasing range of about 5 cm per year. Other findings show that disaster risk management carried out by several agencies, especially the problem of land deformation in East Kalimantan, is still far from expectations and very minimal. The findings can be used for future disaster risk management to minimize negative impacts and reduce disaster risk.Keywords: PS-INSAR; Land Deformation; Capital City; Disaster Risk Management