MODEL SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS

STATUS MUTU METODE STORET UNTUK BUDIDAYA KERAMBA

JARING APUNG DI SUBDAS RIAM KANAN PROVINSI KALIMANTAN

SELATAN

GEOGRAPHIC INFORMATION SYSTEM MODEL FOR ANALYZING

THE QUALITY STATUS OF THE STORET METHOD FOR

CULTIVATION OF FLOATING NET CAGES IN THE RIGHT RIAM

SUBDAS OF SOUTH KALIMANTAN PROVINCE

1)M. Ikbal Agus, 1)Abdur Rahman, 1)Deddy Dharmaji

1) Fakultas Perikanan dan Kelautan Program Studi MSP ULM,

Jalan A. Yani Km 36,5 Simp 4, Kota Banjarbaru, Indonesia

email: 2010714210004@mhs.ulm.ac.id

ABSTRAK

Penelitian ini mengembangkan Model Sistem Informasi Geografis (SIG)

untuk menganalisis daya dukung kesesuaian budidaya keramba jaring apung (KJA)

di SubDAS Riam Kanan, Provinsi Kalimantan Selatan. Analisis kualitas air

menunjukkan bahwa sebagian besar parameter seperti suhu, kecerahan air, nitrat,

fosfat, TSS, dan pH memenuhi baku mutu sesuai Kepmen LH No. 155 Tahun 2003,

mendukung aktivitas budidaya KJA. Namun, ditemukan pencemaran ringan pada

beberapa titik parameter oksigen terlarut (DO) yang membutuhkan perbaikan.

Pemodelan menggunakan metode Kriging dan Inverse Distance Weighted (IDW)

memberikan gambaran rinci tentang kualitas air di SubDAS Riam Kanan. Hasil

interpolasi Kriging menunjukkan bahwa parameter kecerahan dan suhu memenuhi

baku mutu sesuai, sementara interpolasi IDW mengonfirmasi bahwa sebagian besar

parameter kualitas air sesuai baku mutu meski ada beberapa titik pencemaran ringan

pada DO, konsisten dengan hasil analisis STORET.

Kata Kunci : Riam Kanan, Sistem Informasi Geografis, Kualitas Air

ABSTRACT

This research developed a Geographic Information System (GIS) Model to

analyze the suitability of carrying capacity for floating net cage (KJA) cultivation

in the Riam Kanan Subwatershed, South Kalimantan Province. Water quality

analysis shows that most parameters such as temperature, water clarity, nitrate,

phosphate, TSS and pH meet the quality standards according to Minister of

Environment Decree No. 155 of 2003, supports KJA cultivation activities. However,

light pollution was found at several points in the dissolved oxygen (DO) parameter

which required improvement. Modeling using the Kriging and Inverse Distance

Weighted (IDW) methods provides a detailed picture of water quality in the Riam

Kanan Subwatershed. The Kriging interpolation results show that the brightness

and temperature parameters meet the appropriate quality standards, while the IDW

interpolation confirms that most of the water quality parameters comply with the

quality standards even though there are several points of light pollution in DO,

consistent with the results of the STORET analysis.

Keywords: Riam Kanan, Sistem Informasi Geografis, Water Quality