Identifikasi Keanekaragaman Jenis Ikan Hasil Tangkapan Nelayan Tapak Paderi Kota Bengkulu

Ayub, Ayub Sugara; Nolisa, Ami; Anggoro, Ari; Suci, An Nisa Nurul; Utami, Risnita Tri; Andika, Yudho; Nugroho, Feri; Suhendri, Rifi

doi:10.35316/jsapi.v13i1.1664

Cited by 2 publications

(1 citation statement)

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“…The mangrove ecosystem is one of the typical tropical coastal vegetation ecosystems, dominated by several types of mangroves that grow around the coast and river mouths that can survive in muddy coastal tidal areas and the plant community is salt tolerant [1]- [2]. Mangrove ecosystems have many functions in terms of ecological, economic, physical, and socio-cultural [3]- [4]. The ecological functions of the mangrove ecosystem include spawning ground, nursery ground, and feeding ground for associated biota, besides that the mangrove ecosystem is capable of being a good carbon sink [5].…”

Section: Introductionmentioning

confidence: 99%

Mapping The Potential of Mangrove Planting in The Rehabilitation of Coastal Ecosystems Using Drone Technology

Ayub,

Ari Anggoro,

Agung Hasan Lukman

et al. 2023

J. Sylva Indonesiana

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Mangroves, as one of the vegetation types that is a natural stronghold from coastal disasters, also function as a shelter and find food for various biota in coastal ecosystems. Therefore, protecting the mangrove ecosystem from degradation is very important. One effort that needs is ecosystem rehabilitation through mangrove planting in coastal environments. To support it, a design was devised using drones and remote-sensing vehicles to assist in making mangrove planting designs. This research was conducted in Jenggalu Estuary, Gading Cempaka District, Bengkulu City. This research aims to study the use of drones in mapping potential mangrove planting areas and designing a mangrove planting plan to rehabilitate coastal ecosystems. In mapping using drones, the height used was 80 meters with 80% overlap, and 2.87 hectares of potential mangrove planting area was obtained. Based on the research results, drones in mapping are very useful in calculating the area of potential mangrove planting areas and designing effective planting plans. There are four scenarios for planting mangroves with a spacing of 0.5 m, 1 m, 2 m, and 3 m, respectively. For a planting area of 2.87 ha, the number of seeds needed is 114,800 planting points for a distance of 0.5 m, 28,700 planting points for a distance of 1 m, 7,175 planting points for a distance of 2 m, and 3,189 planting points for a distance of 3 m

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Section: Introductionmentioning

confidence: 99%

Mapping The Potential of Mangrove Planting in The Rehabilitation of Coastal Ecosystems Using Drone Technology

Ayub,

Ari Anggoro,

Agung Hasan Lukman

et al. 2023

J. Sylva Indonesiana

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Klasifikasi Tiga Genus Ikan Karang Menggunakan Convolution Neural Network

Ariawan¹

2022

J. Ilmu dan Teknologi Kelautan Tropis

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Ikan karang adalah salah satu organisme penting dalam kajian ekosistem terumbu karang, perlu dilakukan proses identifikasi untuk memahami pola, struktur dan distribusi keanekaragaman ikan karang. Selain itu, ikan karang memiliki jumlah yang sangat banyak dan hampir mirip satu sama lain. Oleh karena itu, untuk mempercepat proses identifikasi ikan dapat dilakukan secara komputerisasi. Salah satu teknik komputerisasi yang dapat dilakukan adalah pengolahan citra digital. Penelitian ini bertujuan untuk mengklasifikasikan citra genus Ikan (Epinephelus spp., Halichoeres spp., dan Lutjanus spp.) ekonomis penting. Data citra diperoleh dari situs https://www.kaggle.com/. Metode klasifikasi citra yang digunakan adalah Convolutional Neural Network (CNN) yang terdiri dari dua tahapan. Tahapan yang pertama adalah melakukan pelatihan dengan metode backpropagation, dan tahapan yang kedua adalah melakukan klasifikasi citra menggunakan feedforward. Hasil dari kombinasi dua metode tersebut diperoleh accuracy sebesar 85,31%. Selain itu, model yang dibangun cukup bagus karena selisih nilai rataan antara precision dan sensitivity tidak terlalu besar, precision sebesar 89,92% dan sensitivity sebesar 86,49%. Hasil analisis dan evaluasi yang telah dilakukan, dapat disimpulkan bahwa metode klasifikasi CNN dapat digunakan dengan baik dalam mengelompokkan citra Ikan berdasarkan genus.

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Identifikasi Keanekaragaman Jenis Ikan Hasil Tangkapan Nelayan Tapak Paderi Kota Bengkulu

Cited by 2 publications

References 0 publications

Mapping The Potential of Mangrove Planting in The Rehabilitation of Coastal Ecosystems Using Drone Technology

Mapping The Potential of Mangrove Planting in The Rehabilitation of Coastal Ecosystems Using Drone Technology

Klasifikasi Tiga Genus Ikan Karang Menggunakan Convolution Neural Network

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