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All Journal Sumatra Journal of Disaster, Geography and Geography Education Penelitian Pendidikan Geografi
Bakari, Aljunaid
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Earth & Planetary Sciences Education

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DISTRIBUSI SPATIAL SEKTOR PERTANIAN DALAM PETA STRUKTUR EKONOMI PROPINSI GORONTALO Bakari, Aljunaid
Jurnal Penelitian Pendidikan Geografi Vol 5, No 1 (2020): Jurnal Penelitian Pendidikan Geografi (Januari 2020)
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.239 KB) | DOI: 10.36709/jppg.v5i1.11212

Abstract

Dalam era Masterplan Percepatan dan Perluasan Pembangunan Ekonomi (MP3EI) 2011-2025. Gorontalo sebagai bagian dari zona V-KEI Sulawesi yang difokuskan berbasis pada beberapa komoditas pertanian, hal telah menjadikan sektor pertanian sebagai tulang punggung perekonomian dengan pengembangan agropolitannya. Disatu sisi Integrasi ekonomi yang menyeluruh dan berkesinambungan di antar semua sektor produksi merupakan salah satu kunci keberhasilan pembangunan ekonomi. Untuk itu, tulisan ini ingin mengurai peran sektor pertanian dan keterkaitannya dalam struktur ekonomi Provinsi Gorontalo berdasarkan pendekatan kombinasi antara multi sektor dan keterkaitannya dalam dimensi spatial, guna mendapatkan wilayah sebaran distibusinya dalam ruang, dengan menggunakan metode Input-Output dan Location Quotient yang diterapkan dalam kasus Provinsi Gorontalo dalam upaya perencanaan pengembangan sektor pertanian yang berkelanjutan. Berdasarkan hasil analisis input output, sector pertanian berada di rangking ketiga sebagai sector kunci dalam keterkaitan multi sector setelah sector keuangan dan perdagangan, berdasarkan hasil analisis Location Quotient sector pertanian merupakan sector unggulan di Kabupaten Gorontalo dan Gorontalo Utara, sector yang prospektif di Kabupaten Pohuwato, Boalemo dan Bonebolango, dan kategori sector tertinggal di Kota Gorontalo
Enviromental Monitoring of Land Subsidence in The Coastal Area of Padang City Using Sentinel 1 Sar Dataset Fajrin, Fajrin; Almegi, Almegi; Bakari, Aljunaid; Ramadhan, Risky; Antomi, Yudi
Sumatra Journal of Disaster, Geography and Geography Education Vol 5 No 1 (2021): Sumatra Journal of Disaster, Geography and Geography Education (June Edition)
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (235.748 KB) | DOI: 10.24036/sjdgge.v5i1.359

Abstract

The land surface in the Padang City is thought to be experiencing a continuous relative subsidence due to natural processes and man-made activities. Factors that affect land subsidence include earthquakes, sea level rise, infrastructure development, sediment transport, and excessive use of groundwater sources. The purpose of this research is to map the rate of land subsidence which is processed from the Sentinel 1-A radar, satellite imagery using the Differential Synthetic Aperture Radar (DInSAR) method. The data used are two pairs of Sentinel-1A level 1 Single Looking Complex (SLC) imagery which were acquired in 2018 and 2019. Image processing is carried out by filtering and multilooking techniques on Synthetic Aperture Radar (SAR) images. The following process changes the phase unwrapping to the ground level phase using phase displacement. Land subsidence in 2018–2019 from DInSAR processing reached -10.5 cm / year. The largest land subsidence occurred in North Padang with an average of -7.64 cm/year. Land subsidence in the Padang City, which is located near the estuary, is due to the nature of the alluvial sediment material. The use of Sentinel 1 SAR remote sensing data can provide important information in the context of mitigating land subsidence in the Padang City. Therefore, we need the right policies to handle future land subsidence cases. Land subsidence mapping is one of the factors that determine the vulnerability of coastal areas to disasters
Co-Authors Almegi, Almegi Fajrin, Fajrin Ramadhan, Risky Yudi Antomi