Regional growth is characterized by an increase in built-up land. An increase in built-up land can cause changes in land use such as vacant land turned into built-up land. One of the cities in Central Java that experienced an increase in built-up land was in the City of Pekalongan. Based on Pekalongan City Regulation Number 30 Year 2011, the National Spatial Planning stipulates that Pekalongan City is the Regional Activity Center. This causes the Pekalongan City to have the potential to increase the amount of built-up land. An increase in uncontrolled built-up land can cause negative impacts such as reduced water catchment areas so that the disruption of water resources conditions. Therefore, it is necessary to monitor the increase of built-up land in Pekalongan City and see its development spatial patterns. One of method for monitoring a city's built-up land uses the remote sensing method. This study uses an Index-based Built-up Index (IBI) algorithm. Based on the results of this study, it can be concluded that the city of Pekalongan experienced an increase in built-up land between 2013 and 2019. The largest increase in built-up land is in the range of 2017 to 2019 with an area of increase of 359.088 ha so that it can be obtained the speed of increase of built-up land by 170.544 ha/year. The spatial pattern of built-up land increased in 2017 to 2019 heading south because South Pekalongan Regency has a toll road that connects the main road with the toll road.
Manusia memanfaatkan lahan untuk meningkatkan kualitas hidup dari segi ekonomi. Pemanfaatan lahan harus memperhatikan faktor fisik lahan seperti kemampuan lahan dan kesesuaian lahan agar tidak memberikan dampak negatif pada lahan tersebut. Salah satu dampak negatif dari kerusakan lahan yaitu terjadinya lahan kritis. Lahan kritis menyebabkan suatu wilayah rentan terkena dampak bencana seperi tanah longsor. Oleh karena itu, perlu dilakukan pemantauan terhadap lahan kritis agar dapat melakukan pencegahan terjadinya lahan kritis. Pemantauan lahan kritis dapat dilakukan dengan menggunakan metode pengindraan jauh. Metode pengindraan jauh memiliki keunggulan dibandingkan dengan pemetaan secara konvensional karena metode tersebut dapat melihat kondisi permukaan tanpa mendatangi keseluruhan lokasi. Hasil pengolahan citra satelit tersebut dikombinasikan dengan Sistem Informasi Geografis untuk pemetaan lahan kritis berdasarkan pedoman pemerintah mengenai pemetaan lahan kritis. Peraturan pemerintah tersebut memanfaatkan 5 parameter yang dijadikan acuan dalam menentukan suatu lahan dikategorikan lahan kritis atau tidak. Parameter yang digunakan adalah penutupan lahan, kemiringan lereng, tingkat bahaya erosi, produktivitas, dan manajemen. Penelitian ini terfokus pada menganalisis lahan kritis berdasarkan pemantauan kerapatan tajuk. Penentuan lahan kritis dilakukan dengan menggunakan metode indeks vegetasi. Hasil lahan kritis didapatkan hasil bahwa kawasan hutan lindung didominasi oleh kelas potensial kritis dengan luas total 2.447,19 ha (45,13%) dari total luas 5.422,51 Ha. Lahan kritis di kawaasan budidaya pertanian didominasi kelas agak kritis dengan 6.766,25 ha (38,7%) dari total luas wilayah 17.483,69 Ha. Lahan kritis di kawaasan lindung diluar kawasan hutan didominasi kelas agak kritis dengan luas 13,9 ha (33,27%) dari luas total 41,78 Ha.
Pesatnya pertumbuhan penduduk berdampak pada peningkatan pembangunan di setiap wilayah. Hal ini menyebabkan semakin terbatasnya keberaadaan lahan pada suatu wilayah sehingga mendasari perubahan penggunaan lahan. Pembangunan harus mengikuti pada peraturan yang telah dibuat agar tidak menimbulkan masalah seperti terbentuknya lahan kritis. Oleh karena itu, pemantauan penggunaan lahan pada suatu wilayah perlu dilakukan agar pembangunan tidak menimbulkan permasalahan. Artikel ini memuat pemanfaatan metode pengindraan jauh untuk pemantauan penggunaan lahan di Kecamatan Ngaglik, Kabupaten Sleman, Yogyakarta. Metode pengindraan jauh memanfaatkan data citra satelit yang akan dilakukan proses klasifikasi penggunaan lahan. Penelitian ini menggunakan data citra resolusi tinggi SPOT 5 dengan memanfaatkan metode klasifikasi berbasis objek. Klasifikasi dilakukan beberapa tahapan seperti segmentasi, merge, rule-based classification. Penelitian ini menggunakan parameter skala 70 pada proses segmentasi. Berdasarkan resolusi citra, penelitian ini menghasilkan 16 kelas klasifikasi penggunaan lahan. Pengujian akurasi dilakukan untuk melihat akurasi hasil klasifikasi yang telah dilakukan sehingga penelitian ini menghasilkan ketelitian 80%. Oleh karena itu, klasifikasi berbasis objek pada citra SPOT 5 menghasilkan akurasi yang baik. Hasil klasifikasi memperlihatkan di Kecamatan Ngaglik masih didominasi oleh pertanian lahan basah sebesar 21.892.324,90 m2 dan perumahan tidak teratur sebesar 11.596.465,01 m2. Perumahan penduduk memiliki luas setengah dari luas pertanian disebabkan karena Kecamatan Ngaglik terletak berbatasan langsung dengan Kota Yogyakarta
Critical land has become a problem in the world. Critical land is very detrimental to the health of the land. Several factors cause the land to become critical. One of them is the use of land that is not by the capabilities of the land. If no repairs made, the land will be physically, chemically, and biologically damaged. Klaten Regency is one of the regencies in Central Java Province, which has quite extensive critical land. It is necessary to monitor and improve land quality regularly to avoid critical land problems. Data and information on critical land obtained from Klaten Regency processed into a decision support system. Decision Support System uses a combination of Analytical Hierarchy Process (AHP) and Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) methods. In this research, a Web-based Decision Support System created to determine the critical land area in Klaten Regency. The information system created has an alternative menu and criteria that determine the potential of critical land in Klaten Regency, making it easier for users to obtain information.
The application of large-scale social restrictions (LSSR) during the Covid 19 pandemic in Indonesia significantly impacted the tourism sector. A Sustainable Rural Tourism model is expected to develop tourist village development during the Covid 19 pandemic through the WEB GIS (Website Geographical Information Systems) approach. It creates smart tourism through tourist information systems integrated with tourist websites. Ngerangan Tourist Village in Klaten Regency is a village where most of the population's economy is dependent on MSME (Micro, Small, and Medium enterprises) and farming activities. The research aims to formulate a tourism promotion model in Ngerangan tourism village through WEB GIS. The method used is quantitative. First, identifying the data needs such as spatial data (tourist attractions, tourist safety routes types, and infrastructure for implementing health protocols) and non-spatial data (information on MSME and virtual tours). Second, designing the tourism promotion system through WEB GIS and third, testing to see the output of the WEB GIS produced. The research output is Web GIS using story maps application contains two spatial information about the Ngerangan tourist village. First, spatial information about tourist attractions includes locations, photos, and descriptions of tourist attractions. Second, spatial information regarding health protocols facilities during the Covid-19 pandemic includes locations, photos, and descriptions of health protocol facilities
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