Land use change is a phenomenon that needs special attention, especially concerning the planning and development of a region. Agricultural land is the most vulnerable form of land use to change. Agricultural land was transformed or converted into other forms of land use for the industrial zone. Changes in agricultural land occur in various regions even in areas known for their rice productions, namely Karawang Regency. Information about changes or conversion of agricultural land, especially information with spatial references, is very important and needs to be kept up to date. This information is very useful as input in regional development planning. This study aims to map and analyze changes in agricultural lands in Karawang Regency. The study period was between 2014 and 2020. The method used was a combination of remote sensing image interpretation and spatial analysis. Interpretation of imagery was done using multispectral classification methods called maximum likelihood. The results showed that during the 2014-2020 period, agricultural land in Karawang Regency decreased by 27,659.57 hectares.

1.
A. A.
Rif’an
,
O.
Elfatma
and
I.
Fatmasari
, “
Sistem Informasi Geografis (SIG) Untuk Kajian Perubahan Penggunaan Lahan Menggunakan Citra QuickBird
”,
Seminar Nasional “Science, Engineering and Technology”2012
.
1
5
.
2.
A.
Rafiuddin
,
Widiatmaka
and
K.
Munibah
.
Pola Perubahan Penggunaan Lahan dan Neraca Pangan di Kabupaten Karawang
.
Jurnal Ilmu Tanah dan Lingkungan
18
,
15
20
(
2016
).
3.
B.
Susilo
, “Model SIG-Binary Logistic Regression Untuk Prediksi Perubahan Penggunaan Lahan (Studi Kasus di Daerah Pinggiran Kota Yogyakarta)”,
Thesis, Institut Teknologi Bandung
,
2005
.
4.
J. R.
Anderson
,
E.
Hardy
and
J. T. A.
Roach
.
Landuse Classification System for Use with Remote-Sensor Data
.
Geological Survey Professional Paper
964
,
1
41
(
1076
).
5.
M. K.
Mosleh
,
Q. K.
Hassan
and
E. H.
Chowdhury
.
Application of Remote Sensors in Mapping Rice Area and Forecasting Its Production: A Review
.
Journal of Sensors
15
,
769
791
(
2015
).
6.
M.
Saputra
,
P.
Danoedoro
and
P.
Widayani
.
Prediksi Lahan Sawah Menggunakan CA-Artifical Neural Network Berbasis Citra Spot-6 dan Spot-7
.
Seminar Nasional Geografi III-Program Studi Pascasarjana Geografi, Fakultas Geografi
,
UGM.
909
917
(
2019
).
7.
P.
Danoedoro
, “Pengantar Penginderaan Jauh Digital”, (
Penerbit ANDI
,
Yogyakarta
,
2012
).
8.
S.
Arsyad
,
Konservasi Tanah dan Air
(
IPB Press
,
Bogor
,
2006
).
9.
S. R. P.
Sitorus
and
G. S.
Aprilian
, “
Perubahan Penggunaan Lahan Dan Faktor-Faktor Penentu Keinginan PetaniUntuk Mempertahankan Lahan Sawahnya Di Kabupaten Karawang, Provinsi Jawa Barat, Indonesia
”,
Prosiding Seminar Nasional ASPI
(
2018
).
10.
Standar Nasional Indonesia
.
Klasifikasi Penutup Lahan
.
Badan Standardisasi Nasional, SNI
7645
:
2010
.
11.
Sunartono
,
Optimalisasi Pemanfaatan Lahan di Perkotaan Melalui Pembangunan Kawasan Siap Bangun
,
Seminar Nasional Empat Windu Fakultas Geografi UGM
1995
(
1995
).
12.
W. P.
Moechtar
and L
Warlina
.
Identifikasi Alih Fungsi Lahan Dari Sektor Pertanian Ke Sektor Jasa Dan Perdagangan Kecamatan Teluk Jambe Timur, Kabupaten Karawang
.
Jurnal Wilayah Dan Kota
6
, (
2019
).
This content is only available via PDF.
You do not currently have access to this content.