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All Journal Ecotrophic, Journal of Environmental Science ILMU KELAUTAN: Indonesian Journal of Marine Sciences Jurnal Penelitian Karet
Efriana, Anisya Feby
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Education Environmental Science

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Multitemporal Analysis of Seagrass Dynamics on Derawan Island (2003–2021) Using Remote Sensing Techniques Fadhlurahman, Yusuf Nauval; Manessa, Masita Dwi Mandini; Semedi, Jarot Mulyo; Efriana, Anisya Feby; Haidar, Muhammad
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 29, No 1 (2024): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.29.1.1-14

Abstract

The shallow waters around Derawan Island are renowned for their beauty, attracting a significant number of tourists. Since the 2008 National Sports Week (PON) in East Kalimantan, the construction of inns and jetties has enhanced both accommodation and accessibility on the island. However, this development has also impacted the seagrass beds in the surrounding shallow waters. This study examines the changes in the area and density of seagrass beds from 2003 (prior to the PON activities) through to 2011 (a few years post-PON) and in 2021 (the most recent conditions), assessing the effects of lodging and jetty construction on these beds. Data were collected via field surveys using the photo transect method, and the benthic habitat map was created using Landsat 8 OLI Imagery, applying the Lyzenga water column correction algorithm and unsupervised classification method. The Normalized Difference Building Index (NDBI) algorithm and land digitization were utilized to track the development of the inns and jetties, revealing a rapid, widespread increase in construction throughout the island's southern region (R-square = 0.59). The study findings indicate a significant degradation of seagrass meadows between 2003 and 2021, particularly near populated areas on the southern coast, resulting in decreased density levels.
KAJIAN KUALITAS AIR DI PERAIRAN DESA SUMBERKIMA DAN DESA PEMUTERAN, KECAMATAN GEROKGAK, KABUPATEN BULELENG, PROVINSI BALI Logan, Axel Gilbert; Manessa, Masita Dwi Mandini; Dimyati, Muhammad; Efriana, Anisya Feby; Haidar, Muhammad
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 17 No 2 (2023)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJES.2023.v17.i02.p04

Abstract

Water quality has a significant impact on aquaculture productivity. Water quality characteristics influence fishing production. This study employs numerous prior research techniques to assess air quality factors such as Total Suspend Solid (TSS), salinity, Sea Surface Temperature (SST), and dissolved oxygen. However, physical elements such as rainfall, which are separated into wet and dry months in this study, have an impact on water quality. The approach was developed using Landsat-8 OLI satellite images. The algorithm's output is validated for data accuracy using Pearson correlation, root mean square error (RMSE), and R-square. The findings suggest that the distribution of water quality in dry and rainy months is low in coastal areas and high in locations adjacent to open waters. Furthermore, it was discovered that the average value of the distribution of TSS in dry months was lower than in wet months, the mean value of the distribution of salinity in dry months was higher than in wet months, the average value of the SST distribution in dry months was higher than in wet months, and the mean value of the dissolved oxygen distribution in dry months was lower than in wet months. Keywords: Water suitability; Landsat-8; Water Quality; Remote Sensing
DISTRIBUSI SPASIAL KESEHATAN TANAMAN KARET MENGGUNAKAN SENTINEL-1 Ayu, Farida; Riesnandar, Ariq Anggaraksa; Manessa, Masita Dwi Mandini; Supriatna, Supriatna; LESTARI, Retno; Bustamam, Alhadi; Sarwinda, Devvi; Stevanuse, Charlos Togi; Efriana, Anisya Feby
Jurnal Penelitian Karet JPK : Volume 42, Nomor 1, Tahun 2024
Publisher : Pusat Penelitian Karet - PT. Riset Perkebunan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/ppk.jpk.v42i1.881

Abstract

Tanaman karet (Hevea brasiliensis) merupakan komoditas penting yang menjadi sumber pendapatan petani di Indonesia. Namun, dalam beberapa tahun terakhir perkebunan karet di Indonesia mengalami penurunan mutu dan produksi yang disebabkan oleh penyakit gugur daun Pestalotiopsis sp. Teknologi remote sensing dapat menjadi solusi dalam pemantauan kesehatan tanaman. Kendala tutupan awan dalam pemantauan perkebunan karet menggunakan citra optik menghambat keberlangsungan. Citra Sentinel-1 dilengkapi data Synthetic Aperture Radar (SAR) yang mampu untuk menembus awan. Sehingga, penelitian ini bertujuan untuk menganalisis distribusi spasial kesehatan tanaman dengan menggunakan multi indeks vegetasi RVI dan NDRVI pada citra Sentinel-1. Hasil penelitian menunjukan bahwa multi indeks vegetasi tidak memiliki hubungan yang signifikan dengan kelas kesehatan tanaman. Faktor noise, panjang gelombang, dan hamburan balik mengindikasikan rendahnya hubungan antar variabel.
Co-Authors Ayu, Farida Bustamam, Alhadi Fadhlurahman, Yusuf Nauval Logan, Axel Gilbert MASITA DWI MANDINI MANESSA, MASITA DWI MANDINI Muhammad Dimyati Muhammad Haidar Retno Lestari Riesnandar, Ariq Anggaraksa Sarwinda, Devvi Semedi, Jarot Mulyo Stevanuse, Charlos Togi Supriatna Supriatna