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All Journal JURNAL ENGGANO Techno-Fish Unri Conference Series: Community Engagement
Esty Kurniawati
Universitas Maritim Raja Ali Haji
Agriculture, Biological Sciences & Forestry Humanities Other

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Sosialisasi penyemaian bibit dari buah Enhalus acoroides untuk menjaga keberlanjutan ekosistem Lamun di Desa Pengudang Pulau Bintan Ita Karlina; Aditya Hikmat Nugraha; Dony Apdillah; Jelita Rahma Hidayati; Esty Kurniawati
Unri Conference Series: Community Engagement Vol 3 (2021): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/unricsce.3.148-155

Abstract

Seagrass ecosystems contribute to food security, climate change mitigation, and biodiversity, yet they are vulnerable to changes in the environment. Environmental factors, both natural and human-caused, are the primary cause of the loss in the area of seagrass ecosystems. Transplanting or sowing seagrass is one method for addressing this issue. The goal of this project is to maintain the seagrass environment and give coastal people with knowledge so that they may contribute to the conservation of coastal habitats, particularly seagrass ecosystems, in Pengudang Village, Bintan. The seeding process starts with a search for seagrass in areas with a dense seagrass habitat. Enhalus acoroides was chosen as the seeding object in this investigation. The findings revealed that 78% of respondents were highly aware of the existence of seagrass ecosystems (perception), 28% were very aware of the function and existence of seagrass ecosystems (understanding), and 86% significantly participated in seagrass ecosystem conservation (participation).
KLASIFIKASI HABITAT PERAIRAN DANGKAL BERBASIS OBJEK DENGAN ALGORITMA SVM DAN KNN PADA CITRA WORLDVIEW 2 DAN CITRA SPOT 6 DI GUSUNG KARANG LEBAR Esty Kurniawati; Vincentius P. Siregar; I Wayan Nurjaya
JURNAL ENGGANO Vol. 7 No. 1 (2022)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jenggano.7.1.%p

Abstract

This study uses the Object Based Image Analysis (OBIA) approach for mapping shallow-water benthic habitats in Kepulau Seribu. This study aims to compare the capabilities of the classification techniques of Support Vector Machin algorithm and k-Nearest Neighbor on Worldview and SPOT Satellite Images. The selection of SVM and KNN algorithms in the classification process has an influence on the final results of image processing. The results show that the overall accuracy in the Worldview algorithm SVM image is 76% and KNN is 80%, while for SPOT imagery they are 73% and 77% respectively. The results of this study indicate that the SVM and KNN algorithms are able to map the shallow water benthic habitat well in Wordview 2 and SPOT 6 imagery.
IDENTIFIKASI KEANEKARAGAMAN IKAN KARANG DI PANGKALAN PENDARATAN IKAN (PPI) PULAU BAAI KOTA BENGKULU Ayub Sugara; Delvia Novitasari; Ari Anggoro; An Nisa Nurul Suci; Risnita Tri Utami; Feri Nugroho; Esty Kurniawati
Techno-Fish Vol 6 No 1 (2022): TECHNO-FISH
Publisher : TECHNO-FISH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/tf.v6i1.4621

Abstract

PPI Pulau Baai Kota Bengkulu dibangun pada tahun 1991 dan dijadikan sebagai penggerak ekonomi masyarakat nelayan serta pelabuhan dengan pendaratan ikan paling banyak di Provinsi Bengkulu. Salah satu jenis ikan yang didaratkan adalah ikan karang. Ikan karang merupakan ikan yang hidup di terumbu karang. Di PPI Pulau Baai ada beberapa jenis ikan karang yang didaratkan, hanya saja beberapa masyarakat awam belum begitu mengenal jenis ikan karang yang banyak dijual di PPI Pulau Baai Kota Bengkulu. Maka diperlukannya penelitian tentang identifikasi ikan karang yang didaratkan di PPI Pulau Baai Kota Bengkulu. Tujuan dari untuk mengetahui jenis-jenis ikan karang yang didaratkan di PPI Pulau Baai Kota Bengkulu. Pengambilan data lapang dilaksanakan pada Bulan September- November 2021 di di PPI Pulau Baai Kota Bengkulu. Metode yang digunakan pada penelitian adalah metode survei dan wawancara. Ditemui 7 jenis spesies ikan karang dari 6 genus dan 5 famili yang di daratkan di PPI Pulau Baai, yang paling banyak ditemukan adalah dari famili Lutjanidae yang terdiri dari 2 genus sedangkan yang paling sedikit adalah dari famili Synodontidae, Nemipteridae, Serranidae, dan Lethrinidae yang terdiri dari 1 genus.
Co-Authors Aditya Hikmat Nugraha An Nisa Nurul Suci Ari Anggoro Ayub Sugara Delvia Novitasari Dony Apdillah Feri Nugroho Hidayati, Jelita Rahma I Wayan Nurjaya Ita Karlina Risnita Tri Utami Vincentius P. Siregar