Prasetya, Firhan (2019) Analisis Perubahan Lahan Tambak Menggunakan Citra Satelit Multitemporal Pleiades 1-A Untuk Peningkatan Potensi Produktivitas Melaluimonitoring Alih Fungsi Lahan (Studi Kasus: Kota Surabaya Timur). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
### Bahasa Indonesia (dirapikan tanpa alinea)
> Teknologi penginderaan jauh melalui citra satelit memungkinkan pemetaan permukaan bumi dilakukan secara cepat, efisien, dan akurat. Salah satu citra satelit yang dapat dimanfaatkan adalah citra Pleiades yang memiliki resolusi spasial tinggi sehingga mampu menyajikan objek dengan tingkat ketelitian dan cakupan wilayah yang baik serta sesuai dengan kondisi sebenarnya. Oleh karena itu, citra Pleiades sangat sesuai digunakan untuk pemetaan dan analisis perubahan lahan tambak di wilayah Surabaya Timur. Pada tahun 2013, luas lahan tambak terbesar berada di Kecamatan Sukolilo, yaitu sebesar 1.155,697 ha. Hingga tahun 2017, luas tambak di kecamatan tersebut berkurang sebesar 242,214 ha, sementara total pengurangan lahan tambak di seluruh wilayah Surabaya Timur mencapai 499,503 ha. Lahan tambak memiliki fungsi penting sebagai kawasan penampung air di wilayah pesisir Surabaya sekaligus berkontribusi terhadap sektor perikanan, dengan sekitar 47% kebutuhan konsumsi ikan Kota Surabaya berasal dari hasil tambak. Penelitian ini bertujuan menganalisis perubahan luas lahan tambak serta kondisi sosial ekonomi petani tambak sebagai dasar penyusunan rekomendasi kebijakan. Hasil kuesioner menunjukkan bahwa rata-rata pendapatan petani tambak di Surabaya sebesar Rp2.892.680 per bulan. Perubahan luas lahan tambak dipengaruhi oleh berbagai faktor, terutama alih fungsi lahan menjadi Ruang Terbuka Hijau (RTH) yang dipersiapkan untuk pengembangan kawasan permukiman beserta fasilitas umum, seperti sekolah, fasilitas kesehatan, perkantoran, pusat perbelanjaan, dan sarana pendukung lainnya. Sebagian besar lahan tambak tersebut telah dikuasai oleh pihak swasta.
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Remote sensing technology using satellite imagery enables rapid, efficient, and accurate mapping of the Earth's surface. Among the available satellite data, Pleiades imagery is particularly suitable for mapping and analyzing changes in aquaculture pond areas because of its high spatial resolution, broad coverage, and ability to represent ground features with a high level of accuracy. Therefore, this imagery is well suited for monitoring pond land use in East Surabaya. In 2013, the largest pond area was located in Sukolilo Subdistrict, covering 1,155.697 ha. By 2017, the pond area in this subdistrict had decreased by 242.214 ha, while the total reduction in pond area across East Surabaya reached 499.503 ha. Aquaculture ponds play an important role as water retention areas in the coastal region of Surabaya and contribute significantly to local fisheries production, supplying approximately 47% of the city's fish consumption. This study aims to analyze changes in pond area and the socioeconomic conditions of pond farmers to provide recommendations for policy development. The questionnaire results indicate that the average monthly income of pond farmers in Surabaya is IDR 2,892,680. The reduction in pond area is primarily driven by land-use conversion, particularly the transformation of aquaculture ponds into Green Open Space (GOS) designated to support future residential development and public facilities, including housing, schools, healthcare facilities, office buildings, shopping centers, and other urban infrastructure. Most of the converted pond land has been acquired by private developers.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Citra Pleiades 1B, Perubahan Lahan, Supervised Classification, Multitemporal. |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing G Geography. Anthropology. Recreation > GE Environmental Sciences |
| Divisions: | Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Firhan Prasetya |
| Date Deposited: | 22 Jul 2026 06:30 |
| Last Modified: | 22 Jul 2026 06:30 |
| URI: | http://repository.its.ac.id/id/eprint/64927 |
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