Analysis Transfer of the Function Cover of Agricultural Land Become a Housing Area and Industry in the Semarang City with Approach of Remote Sensing and Geographic Information System

  • Harnawan Nurul Asna Universitas Kristen Satya Wacana
  • Frederik Samuel Papilaya Universitas Kristen Satya Wacana Jl. Dr. O. Notohamidjojo, Kel. Blotongan, Kec. Sidorejo, Kota Salatiga 50715, Indonesia
Keywords: High Property Business Activities, Remote Sensing, Unsupervised Classification, Agricultural Land Cover Change, Geographic Information System Semarang

Abstract

The purpose of this study was to find out how much area of agricultural land was converted because of the high property business activities in Semarang City, the data used for this study were taken from 1999 to 2018. The classification method used in this study was the remote sensing method using the unsupervised classification technique. Output of this study is the extensive data of agricultural land cover change obtained from 1999 to 2018. The results of this study can prove that the Geographic Information System can be used to find out how much agricultural land cover change in Semarang City from 1999 to 2018. The area of agricultural land that has been converted is from 1999 to 2009 around 3072 ha and from 2009 to 2018 around 1071.4 ha.

References

Hariyanto. 2010. Pola dan Intensitas Konversi Lahan Pertanian di Kota Semarang Tahun 2000 – 2009. Fakultas Geografi Unnes, Semarang

P, Eddy ., 2001. Konsep-konsep Dasar Sistem Informasi Geografis. Bandung: Informatika

Rai, 2017. Dalam 5 Tahun, 1.000 Ha Lahan Pertanian di Semarang Hilang. [Online]
Available at: https://economy.okezone.com/read/2017/01/08/320/1586030/dalam-5-tahun-1-000-ha-lahan-pertanian-di-semarang-hilang
[Accessed 15 Juli 2018].

Kementrian Pertanian Pusdatin and Biro Hukum & Informasi Publik., 2009. Undang-Undang Republik Indonesia Nomor 41 Tahun 2009 Tentang Perlindungan Lahan Pangan Berkelanjutan. [Online]

S, Maya., 2016. 7 Dampak Alih Fungsi Lahan Pertanian. [Online] Available at: https://ilmugeografi.com/ilmu-sosial/dampak-alih-fungsi-lahan-pertanian
[Accessed 15 Juli 2018].

R, Fisher, H, Sarah, M, Iradafm, K, R, Norman, Zulkarnain ., 2017. Analisis Citra Satelit dan Terrain Modelling : Buku Panduan Geospatial Gratis untuk Pengolahan Sumber Daya Alam, Risiko Bencana dan Perencanaan Pembangunan Ver 2 SAGA GIS 4. s.l.: Charles Darwin University kerjasama dengan Universitas Nusa Cendana dan Universitas Halu Oleo didukung oleh Australian Government Partnerships for Development: Artisanal and small scale mining for development in Eastern Indonesia program.

E. Sediono. A. Setiawan., and G. A. Hanindito., 2015. Analisis Alih Fungsi Hutan Menjadi Lahan Perkebunan Melalui Data Citra Satelit Landsat dengan Metode Supervised Classification (Studi Area: Kabupaten Minahasa Tenggara, Provinsi Sulawesi Utara). Fakultas Sistem Informasi, UKSW Salatiga.

Leunupun. P, Samuel. F.P., (2019). Analisis Konversi Area Sawah di Kabupaten Sleman dari tahun 2000 hingga 2015, Menggunakan Citra Satelit Resolusi Tinggi (Studi Kasus: Kecamatan Ngaglik, Mlati, dan Depok). Journal of Applied Geospatial Information Vol 3 No 1.

P, Eddy. (2008). Remote Sensing: Praktis Pengindraan Jauh & Pengolahan Citra Dijital Dengan Perangkat Lunak ER Mapper. Bandung: Informatika.

Gisgeography. (2015, Juli). Image Classification Techniques in Remote Sensing. (gisgeography.com) Dipetik Agustus 30, 2018, dari https://gisgeography.com/image-classification-techniques-remote-sensing/
Jaya, INS. (2002). Pengidraan Jauh Satelit untuk Kehutanan. Bogor: Laboratorium Inventarisasi Hutan, Jurusan Manajaman Hutan, Fakultas Kehutanan IPB.

Danoedoro, P. (2012, April 26). Pengantar Pengideraan Jauh. Yogyakarta: CV. Andi Offset. Dipetik September 13, 2018, dari https://foresteract.com/klasifikasi-terbimbing-dan-klasifikasi-tidak-terbimbing/

Canada, N. R. (2016). Fundamentals of Remote Sensing. Canada: A Canada Centre for Remote Sensing.

Jensen, J. R. (1996). Introductory digital image processing: a remote sensing perspective. New Jersey: Prentice Hal.

A, Tomi., 2017. Klasifikasi Terbimbing dan Tidak Terbimbing. [Online]
Available at: https://foresteract.com/klasifikasi-terbimbing-dan-klasifikasi-tidak-terbimbing/
[Accessed 13 September 2018].

The United State Geological Survey., How do Landsat 8 band combinations differ from Landsat 7 or Landsat 5 satellite data?. [Online]
Available at: https://www.usgs.gov/faqs/how-do-landsat-8-band-combinations-differ-landsat-7-or-landsat-5-satellite-data-0?qt-news_science_products=7#qt-news_science_products
[Accessed 13 Februari 2018]

Pevitanada, R. (2018). Analisis Pengorganisasian Dalam Penanggulangan Bencana Melalui Kelurahan Siaga Bencana di Kelurahan Jomblang, Kecamatan Candisari, Kota Semarang. Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Diponegoro Semarang
Published
2019-05-03