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Achmad Fachruddin Syah, Achmad Fachruddin

Universitas Trunojoyo Madura

Author-ID : 507718

Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Engineering Physics

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Pendugaan Konsentrasi Klorofil-A Secara Vertikal dengan Neural Network Syah, Achmad Fachruddin
Rekayasa Vol 2, No 2: Oktober 2009
Publisher : Universitas Trunojoyo Madura

Theprimary production quantity depends on the vertical distribution of chlorophyll concentration in the water column. The chlorophyll maximum value not always observed near or at the sea surface, but sometimes lies deeper than bottom of the euphotic zone. In this case, the ocean color sensors cannot measure the chlorophyll maximum value. A shifted Gauss model has been proposedto describe the variation of the chlorophyll-a (Chl-a) profile which consists offour parameters, i.e.background biomass (Br)1 maximum depth of Chl-a (Zm), total biomass zn the peak (h), and measurenment of the thickness or vertical scale of the peak (o). However, these parameters are not easy to be determined directlyfrom satellite data. therefore, in these research, anANN methodology is used. Using in-situ data 1962 to 1985 in Banda Sea, the above parameters are calculated to derive the Chl-a concentration, sea surface temperature, mixed layer depth, latitude, longi_tude, and season. The total of 53 profiles of Chl-a and temperature are used for ANN. The correlation coefficient of these parameters are 0.852 (B,J, 0.670 (h), 0.983 (d) and 0.990 (Zm) respectively. After comparing with in-situ data and AN!'J model, the result show not good enough agreement relatively.Keywords: Chlorophyll-a (Chl-a), Vertical Structure, Artificial Neural Networks (ANN)

Pemetaan Lokasi Fishing Ground dan Status Pemanf aatan Perikanan di Perairan Selat Madura Efendy, Mahfud; Muhsoni, Firman Farid; Triajie, Haryo; Syah, Achmad Fachruddin
Rekayasa Vol 1, No 2: Oktober 2008
Publisher : Universitas Trunojoyo Madura

This research aims atfinding out map of water quality spreading to predict fishing ground, determine catching region map, test determinant parameter modeling offish catching region, analyzefish product per catching unit (Cp UE) andfish utilization status. Method used in map water quality parameter is interpolation analysis in wide sample data, map surface temperature and chlorophyll from extract satellite image landsat. Area of catching is conducted by modeling with the application of scoring and weighting factors, accuracy test with method of RM SE. Fishery utilization status is gathered with method of holistic approach (production surplus model). Map water salinity at straits Madura is between 27 ppm - 46 ppm, pH rangefrom 8-9, brightness ranges from 0-2 m. Sea level temperature from image landsat in dry season rangesfrom 24,1 OC - 27,3 OC in rainy season between 24,7OC -28,6 OC. Optimum temperature in rainy season lower is compared in dry season. Chlorophyll in dry season between 0 mg/m3 - 19,6 mg/m3, in rainy season between -0,02 mg/m3 - 41,95 mg/m3. Map Fish catching region in season gets region very appropriate at 58,04 %,appropriate region 36,9!1% and region inappropriate 4,96 %.inappropriate region rainy season achieves 94,44 %, appropriate 2,89 % and inappropriate 2,65 %. sea level temperature accuracy test gets RM SE 2,32 and for chlorophyll pregnancy 2,31. Fishery estimation result pelagis gets CpU E 0.10 ton/trip with utilization status in indication of over-fishing in tahun1997 and fishery demersal CpU E 0.03 ton/trip with utilization status becomes surplus catches in lasl three year.

Pemetaan Habitat Bentik Pulau Salarangan Menggunakan Metode Object-Based Image Analysis Sari, Citra Arum; Syah, Achmad Fachruddin
Rekayasa Vol 14, No 1: April 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i1.7996

Salarangan Island has supporting ecosystems that are seagrass and coral reefs with a high increase in biological competence. Basic information about the distribution map of benthic habitats on Salarangan Island is not yet available so that technology is needed that can provide information spatially and temporally. Citra Sentinel-2A with Lyzenga transformation in mapping benthic and shallow habitats and studying the distribution of benthic habitats on Salarangan Island, Madura. The image data used is obtained free of charge from the website earthexplorer.usgs.gov and in situ data are used for image data validation. The multiscale / OBIA classification method with the SVM algorithm is used to classify objects in the navigation column. The classification results show as many as 4 benthic habitat classes with object / OBIA classification resulting in overall certification of 69.86%. Based on the classification results, the most contrasting class is the seagrass class (48.76 ha) because it has the most extensive area than the coral class (27.31%), sand (8.94 ha) and seagrass + sand (31.85 ha).

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