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All Journal Jurnal Geografi Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi Jurnal Logistica
Ramadhan, Zidan
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Astronomy Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Physics Social Sciences Other

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ANALISIS RISIKO RANTAI PASOK BIBIT IKAN NILA MERAH STUDI KASUS : JARMAT FARM KOTA BOGOR Salsabila, Nisrina; Ramadhan, Zidan; Zaskia D.Z, Ratu; Rezkitaputri, Ajeng; Oktariza, Wawan; Ainun, Tina Nur
JURNAL LOGISTICA Vol. 3 No. 1 (2024): VOL.3.NO.1. DESEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/logistics.v3i1.309

Abstract

Ikan nila merah adalah salah satu jenis ikan tawar dengan ekonomi yang bernilai tinggi. Jarmat Farm merupakan pembudidaya bibit nila yang berada di Kota Bogor. Usaha pembibitan nila merah selalu dihadapi pada risiko. Penelitian ini bertujuan untuk melakukan analisis risiko terhadap budidaya bibit ikan nila merah di Jarmat Farm. Pada penelitian ini digunakan metode kualititatif meliputi survei, wawancara, dan analisis dokumen terkait. Hasil analisis risiko menunjukkan beberapa risiko utama, seperti risiko tahap perencanaan, risiko sumber bahan baku, risiko proses budidaya, risiko pengiriman, dan risiko pengembalian barang dari konsumen. Setiap risiko dievaluasi menggunakan metode perhitungan LC (Level Risiko). Berdasarkan temuan ini, hasil menunjukkan tingkatan risiko paling tinggi diperoleh pada tahap pengiriman. Penelitian ini memberikan perbandingan tentang risiko-risiko terkait budidaya ikan nila merah dan menjadi acuan bagi Jarmat Farm mengelola risiko dengan lebih efektif.
ANALISIS SPASIAL GENANGAN BANJIR MENGGUNAKAN CITRA SENTINEL-1 SYNTHETIC APERTURE RADAR (SAR) DI KABUPATEN INDRAMAYU Ramadhan, Zidan; Salma, Ghina Yusriyyah; Nulhakim, Diki Lukman; Ridwana, Riki; Aliyan, Silmi Afina
Jurnal Spasial Vol 11, No 2 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i2.9905

Abstract

Floods are one of the many disasters that often occur in Indonesia. Based on data released by BNPB (2017), approximately 31.3% of natural disasters that occur in Indonesia are floods. In general, floods also frequently occur in the administrative area of the Indramayu Regency. Indramayu, which is a coastal area and has topography with an average slope of 0-2%, certainly increases the potential for flood disasters. To help deal with the problem of frequent flooding, radar system remote sensing technology can be utilized to map flood inundation areas effectively. This research was conducted to help identify and map the location of flood inundation in Indramayu Regency using Sentinel-1 multi-temporal Synthetic Aperture Radar (SAR) imagery. Radar images are processed on the Google Earth Engine using the Backscatter algorithm method. The processing results show that an area of 87581.5 ha or 42.1% of the total area of Indramayu Regency has the potential and frequent occurrence of flooding.
Vegetation and Built-Up Area Monitoring in Bandung City Using Multitemporal Imagery Himayah, Shafira; Ramadhan, Zidan; Salma, Ghina Yusriyyah
JURNAL GEOGRAFI Vol. 15 No. 1 (2023): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v15i1.42656

Abstract

Bandung is West Java's largest metropolitan city and Indonesia's third largest. The city of Bandung is very strategic in various aspects, such as accessibility, communication, public facilities, and the economy. The Increased population in Bandung indicates more complex ongoing human activities, which can then affect changes in land use. The land covers in urban areas tends to change more drastically over a short period e than in rural areas because of rapid urbanization. Therefore, urban phenomenon changes are ideally monitored and detected from satellite images with a multitemporal resolution. Vegetation greenness and built-up areas can identify through multitemporal remote sensing imagery. Changes in vegetation and built-up area can monitor using remote sensing with multitemporal imagery. The analysis of changes in vegetation and built-up area studied in Bandung City represents an area with rapid population growth. This study aims to: 1) Identify changes in vegetation greenness in Bandung City between 2014 and 2021, 2) Identify built-up area changes in Bandung City between 2014 and 2021, 3) Analyze the relevance between vegetation greenness and the built-up area in Bandung City”the correlation between NDBI and NDVI through selected samples is representative of all data in Landsat 8 imagery. The proportion between the values of NDBI and NDVI samples is 0.9034. So, it is concluded that the two variables are positively correlated. Therefore, the study™s results recommend preserving vegetated land cover to conserve natural resources and prevent increased land surface temperature.Keywords: Remote Sensing Imagery, Built-Up Area, Vegetation Greenness, Bandung City
Co-Authors Ainun, Tina Nur Aliyan, Silmi Afina Himayah, Shafira Nulhakim, Diki Lukman Oktariza, Wawan Rezkitaputri, Ajeng Ridwana, Riki Salma, Ghina Yusriyyah Salsabila, Nisrina Zaskia D.Z, Ratu