AbstrakData Status Lingkungan Hidup Daerah Kota Tarakan menyatakan bahwa kualitas air Sungai Karang Anyar Kota Tarakan yaitu parameter COD, amoniak dan TSS tahun 2010-2013 melebihi baku mutu. Penurunan kualitas air tersebut disebabkan oleh perilaku masyarakat yang bermukim di kawasan bantaran sungai. Pendekatan penelitian kualitatif dengan menggunakan gabungan metode kualitatif dan kuantitatif. Metode kuantitatif antara lain digunakan untuk teknik pengumpulan data melalui kuesioner dan menghitung status mutu air Sungai Karang Anyar menggunakan metode Indeks Pencemaran. Metode kualitatif antara lain digunakan untuk observasi, wawancara mendalam kepada swasta dan tokoh masyarakat. Hasil penelitian yaitu perilaku masyarakat yang membuang air limbah domestik langsung ke sungai mempengaruhi parameter COD melebihi baku mutu karena air limbah yang dibuang terdapat busa sabun berasal dari buangan air cucian. Air limbah domestik yang dibuang langsung ke sungai berasal dari sisa memasak sehingga diduga menyebabkan amoniak juga melebihi baku mutu. Perilaku masyarakat yang tidak mengolah kotoran ayam dapat mempengaruhi parameter amoniak melebihi baku mutu karena kotoran ayam membusuk dan mengalir ke sungai. Perilaku masyarakat yang mengambil tanah dari bukit/gunung tidak mempengaruhi parameter TSS karena dipengaruhi mengambil tanah dari bukit/gunung dilakukan pada curah hujan menurun/kemarau. Perilaku masyarakat yang menambang pasir di sungai mempengaruhi parameter amoniak melebihi baku mutu karena air limbah domestik yang organik dan kotoran ayam membusuk yang telah tertimbun lama di dasar sungai akan terangkat. Perilaku masyarakat yang menambang pasir di sungai tidak mempengaruhi parameter TSS karena kegiatan menambang pasir tidak dilakukan setiap hari dan bergantung pada curah hujan. Sebagai kesimpulan adalah tidak semua perilaku masyarakat yang bermukim dan berkegiatan di kawasan bantaran sungai mengakibatkan penurunan kualitas air sungai.Kata kunci: bantaran sungai, kualitas air sungai, limbah cair, limbah domestik, parameter dan perilaku masyarakat.
Abstract
Uncontrolled urban expansion resulting from urbanization has a disastrous impact on agricultural land. This situation is being experienced by the densely populated and fertile island Java in Indonesia. Remote sensing technologies have developed rapidly in recent years, including the creation of Google Earth Engine (GEE). Intensity analysis (IA) is increasingly being used to systematically and substantially analyze land-use/land-cover (LULC) change. As yet, however, no study of land conversion from agriculture to urban areas in Indonesia has adopted GEE and IA approaches simultaneously. Therefore, this study aims to monitor urban penetration to agricultural land in the north coastal region of West Java Province by applying both methods to two time intervals: 2003–2013 and 2013–2020. Landsat data and a robust random forest (RF) classifier available in GEE were chosen for producing LULC maps. Monitoring LULC change using GEE and IA has demonstrated reliable findings. The overall accuracy of Landsat image classification results for 2003, 2013, and 2020 were 88%, 87%, and 88%, respectively. IA outputs at interval levels for all categories showed that the annual change-of-area rate was higher during 2013–2020 than during 2003–2013. At the category level, IA results showed that the area of agricultural land experienced net losses in both periods, with net loss in 2013–2020 being 2.3 times greater than that in 2003–2013 (∼1,850 ha per year). In contrast, the built-up area made net gains in both periods, reaching almost twice as much in the second period as in the first (∼2,030 ha per year). The transition-level IA performed proved that agricultural land had been the primary target for the expansion of built-up areas. The most extensive spatial distribution of land conversion from agriculture to built-up area was concentrated in the regencies of Bekasi, Karawang, and Cirebon. These findings are intended to provide stakeholders with enrichment in terms of available literature and with valuable inputs useful for identifying better urban and regional planning policies in Indonesia and similar regions.
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