scholarly journals TINGKAT KESUBURAN DAN POTENSI PRODUKSI UDANG VANAME DI TAMBAK UPT PERIKANAN AIR PAYAU DAN LAUT PROBOLINGGO

2019 ◽  
Vol 14 (2) ◽  
pp. 89
Author(s):  
Setya Widi Ayuning Permanasari ◽  
Samuel Saputra ◽  
Kusriani Kusriani ◽  
Putut Widjanarko
Keyword(s):  
Chlorophyll A ◽  
Primary Productivity ◽  
Strong Relationship ◽  
Farmed Fish ◽  
Shrimp Ponds ◽  
Eutrophic Water ◽  
Shrimp Production ◽  
State Index ◽  
Technical Extension ◽  
The Relationship

Keberlanjutan kegiatan pertambakan sangat tergantung pada kondisi kualitas lingkungan perairan dalam mendukung potensi produksi biota budidaya. Namun, dalam pengelolaan juga perlu diketahui potensi lingkungan dalam memproduksi biota. Penelitian ini bertujuan untuk mengukur tingkat kesuburan perairan pada tambak serta mengestimasi produksi udang yang dihasilkan dengan pendekatan Produktivitas Primer. Penelitian dilakukan di tambak UPT Probolinggo, Fakultas Perikanan dan Ilmu Keluatan, Universitas Brawijaya. Analisis kesuburan perairan tambak dilakukan menggunakan metode Tropic State Index (TSI), dan pendugaan produksi udang dengan pendekatan metode Beveridge dengan mengkonversi nilai Produktivitas Primer, dimana nilai Produktivitas Primer dapat dihitung dengan mentransformasi nilai Klorofil-a. Rata-rata hasil pengukuran klorofil-a pada tambak 1 sebesar 23,06 mg/m3 dan pada tambak 2 sebesar 20,62 mg/m3. Tingkat kesuburan pada kedua tambak menunjukkan perairan eutrofik sedang. Rata-rata potensi produksi udang pada tambak 1 adalah 13,22 ton C-udang/2700m2/tahun; dan tambak 2 adalah 10,90 ton C-udang/2700m2/tahun. Korelasi antara nilai klorofil-a dan estimasi produksi udang menunjukkan nilai korelasi < 0,199 yang artinya keeratan kedua variabel sangat rendah. Namun korelasi antara klorofil-a dan PP memiliki hubungan yang sangat kuat yaitu > 0,99. The sustainability of aquaculture activities highly depends on the water quality conditions of the aquatic environment. Thus, determining the existing environmental condition of fish culture followed by regular monitoring is necessary to ensure the optimum production of farmed fish. The purpose of this current research was to determine the eutrophication level in shrimp ponds and estimate its shrimp production using the approach of Primary Productivity. The study was conducted in the shrimp ponds managed by the Probolinggo Technical Extension Office, Faculty of Fisheries and Marine Science, Brawijaya University. The eutrophication level was determined used the Tropic State Index (TSI) method. Shrimp production was estimated using the Beveridge Method by which the primary productivity values were calculated by transforming the Chlorophyll-a values. The results showed that the average contents of chlorophyll-a in pond 1 and pond 2 were 23.06 mg.m-3 and 20.62 mg.m-3, respectively. The eutrophication levels in both ponds indicate moderate eutrophic water. The estimated shrimp productions in ponds 1 and 2 were 13.22 and 10.90 tons C-shrimp 2700m-2 year-1, respectively. The correlation value between the chlorophyll-a levels and estimated shrimp productions was <0.199 which means that the relationship between the two variables is unsubtantial. On the other hand, the chlorophyll-a and primary productivity had a very strong relationship indicated by the correlation value of > 0.99.

Correlation Analysis between Primary Productivity Factors and Water Environment Factors

2013 ◽  
Vol 448-453 ◽  
pp. 902-907
Author(s):  
Shih Chieh Chen ◽  
Chao Cheng Chung ◽  
Wen Liang Lai ◽  
Chung Yi Chung ◽  
Hwa Sheng Gau ◽  
...  
Keyword(s):  
Water Quality ◽  
Correlation Analysis ◽  
Chlorophyll A ◽  
Primary Productivity ◽  
Explanatory Power ◽  
Water Environment ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Canonical Variables ◽  
The Relationship

In this study, we use canonical correlation analysis to interpret the relationship between water quality parameters (T, Alk, Cl, EC, TN, TP, UV-254, pH, HPC, DO) and primary productivity parameters (algae and chlorophyll-a). In these two sets of constructed canonical variables, the water quality parameters can account for 39.25% of the total variance of primary productivity. The majority of the explanatory power is from the first set of canonical variables, which has a correlation coefficient of 0.84. The main factors that control chlorophyll-a are HPC, Alk, T, TN, and pH.

scholarly journals Aplikasi Sistem Informasi Geografis (SIG) dan Penginderaan Jauh untuk Pemetaan Daerah Penangkapan Ikan Tuna Mata Besar di Selatan Jawa dan Bali

2017 ◽  
Vol 3 (1) ◽  
pp. 70 ◽  
Author(s):  
Kadek Bagus Padmaningrat ◽  
I Wayan Gede Astawa Karang ◽  
Abd. Rahman As-syakur
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Chlorophyll A ◽  
Polynomial Regression ◽  
Strong Relationship ◽  
Sea Surface ◽  
Tropical Species ◽  
Bigeye Tuna ◽  
Remote Sensing Systems ◽  
The Relationship

Bigeye tuna is the dominant species of tuna caught in the territorial waters of the Indian Ocean and a productive tropical species which accounts for more than 10% of the total catch in the whole world. Distribution of bigeye tuna can be predicted through optimum temperature associated with the presence of bigeye tuna and distribution of chlorophyll-a is associated with the presence of small pelagic fish. The distribution of sea surface temperature and chlorophyll-a can be detected through remote sensing systems. The purpose of this study was to determine the relationship between sea surface temperature and chlorophyll-a by the number of bigeye tuna catches in the waters south of Java and Bali, and mapped the area catching bigeye tuna in the waters south of Java and Bali. The method used is a second order polynomial regression analysis to determine the effect of sea surface temperature and chlorophyll-a by the number of bigeye tuna catches as well as correlation analysis to determine the relationship of sea surface temperature and chlorophyll-a by the number of bigeye tuna catches. Sea surface temperature and chlorophyll-a is related to the number of bigeye tuna catches.  The results of the analysis showed a strong relationship between sea surface temperature and chlorophyll-a by the number of bigeye tuna catches. Bigeye tuna fishing grounds in the waters south of Java and Bali are in a position 12oS-15oS and 106°E-118°E.

APLIKASI CITRA LANDSAT 8 OLI UNTUK IDENTIFIKASI STATUS TROFIK WADUK GAJAH MUNGKUR WONOGIRI, JAWA TENGAH

2017 ◽  
Vol 19 (2) ◽  
pp. 113
Author(s):  
Kusuma Wardani Laksitaningrum ◽  
Wirastuti Widyatmanti
Keyword(s):  
Chlorophyll A ◽  
Total Phosphorus ◽  
Trophic State ◽  
Water Clarity ◽  
Coefficient Of Determination ◽  
Physical Factors ◽  
Landsat 8 ◽  
Trophic State Index ◽  
Landsat 8 Oli ◽  
State Index

<p align="center"><strong>ABSTRAK</strong></p><p class="abstrak">Waduk Gajah Mungkur (WGM) adalah bendungan buatan yang memiliki luas genangan maksimum 8800 ha, terletak di Desa Pokoh Kidul, Kecamatan Wonogiri, Kabupaten Wonogiri. Kondisi perairan WGM dipengaruhi oleh faktor klimatologis, fisik, dan aktivitas manusia yang dapat menyumbang nutrisi sehingga mempengaruhi status trofiknya. Tujuan dari penelitian ini adalah mengkaji kemampuan citra Landsat 8 OLI untuk memperoleh parameter-parameter yang digunakan untuk menilai status trofik, menentukan dan memetakan status trofik yang diperoleh dari citra Landsat 8 OLI, dan mengevaluasi hasil pemetaan dan manfaat citra penginderaan jauh untuk identifikasi status trofik WGM. Identifikasi status trofik dilakukan berdasarkan metode <em>Trophic State Index</em> (TSI) Carlson (1997) menggunakan tiga parameter yaitu kejernihan air, total fosfor, dan klorofil-a. Model yang diperoleh berdasar pada rumus empiris dari hasil uji regresi antara pengukuran di lapangan dan nilai piksel di citra Landsat 8 OLI. Model dipilih berdasarkan nilai koefisien determinasi (R<sup>2</sup>) tertinggi. Hasil penelitian merepresentasikan bahwa nilai R<sup>2</sup> kejernihan air sebesar 0,813, total fosfor sebesar 0,268, dan klorofil-a sebesar 0,584. Apabila nilai R<sup>2 </sup>mendekati 1, maka semakin baik model regresi dapat menjelaskan suatu parameter status trofik. Berdasarkan hasil kalkulasi diperoleh distribusi yang terdiri dari kelas eutrofik ringan, eutrofik sedang, dan eutrofik berat yaitu pada rentang nilai indeks 50,051 – 80,180. Distribusi terbesar adalah eutrofik sedang. Hal tersebut menunjukkan tingkat kesuburan perairan yang tinggi dan dapat membahayakan makhluk hidup lain.</p><p><strong>Kata kunci: </strong>Waduk Gajah Mungkur, citra Landsat 8 OLI, regresi, TSI, status trofik</p><p class="judulABS"><strong>ABSTRACT</strong></p><p class="Abstrakeng">Gajah Mungkur Reservoir is an artificial dam that has a maximum inundated areas of 8800 ha, located in Pokoh Kidul Village, Wonogiri Regency. The reservoir’s water conditions are affected by climatological and physical factors, as well as human activities that can contribute to nutrients that affect its trophic state. This study aimed to assess the Landsat 8 OLI capabilities to obtain parameters that are used to determine its trophic state, identifying and mapping the trophic state based on parameters derived from Landsat 8 OLI, and evaluating the results of the mapping and the benefits of remote sensing imagery for identification of its trophic state. Identification of trophic state is based on Trophic State Index (TSI) Carlson (1997), which uses three parameters there are water clarity, total phosphorus, and chlorophyll-a. The model is based on an empirical formula of regression between measurements in the field and the pixel values in Landsat 8 OLI. Model is selected on the highest value towards coefficient of determination (R<sup>2</sup>). The results represented that R<sup>2</sup> of water clarity is 0.813, total phosphorus is 0.268, and chlorophyll-a is 0.584. If R<sup>2</sup> close to 1, regression model will describe the parameters of the trophic state better. Based on the calculation the distribution consists of mild eutrophic, moderate eutrophic, and heavy eutrophic that has index values from 50.051 to 80.18. The most distribution is moderate eutrophication, and it showed the high level of trophic state and may harm other living beings.</p><p><strong><em>Keywords: </em></strong><em>Gajah Mungkur Reservoir, </em><em>L</em><em>andsat 8 OLI satellite imagery, regression, TSI, trophic state</em></p>

THE EFFECT OF TRADE RECEIVABLES ON THE LIQUIDITY OF THE COMPANY PT. GRAHA TUMARIMA, CITY OF SUKABUMI

2020 ◽  
Author(s):  
endang naryono
Keyword(s):  
Correlation Analysis ◽  
Hypothesis Testing ◽  
Sampling Technique ◽  
Strong Relationship ◽  
T Test ◽  
Financial Statement ◽  
Positive Meaning ◽  
The Relationship ◽  
Purposive Sample ◽  
Analysis Determination

This study examines the influence of receivables on liquidity at PT. Graha Tumarima. Sukabumi City for 5 years, with a sampling technique using a purposive sample in the form of financial statement data from 2010 to 2014 using a table of trade receivables and company liquidity. In this study, researchers refer to the theory of Bambang Riyanto (2008: 94) as the connecting theory of the title. This study aims to determine whether there is a relationship and influence between receivables and liquidity at PT. Graha Tumarima. The research design uses the method of exposing the facto, the method of data collection aims to test the hypothesis by using correlation analysis, determination, regression and hypothesis testing with t-test. The results of this study show the influence of receivables on liquidity is shown by the value of r = 0.888, meaning that receivables have a very strong relationship to liquidity. The nature of the relationship is positive, meaning that if the value of cooperative credit is higher the liquidity will be higher. Conversely, if the value of receivables decreases, liquidity will decrease. The magnitude of the influence of receivables on liquidity is shown by the value of R Square / Determination Coefficient of 0.789 or 78.9% thus the receivables have an effect of 78.9% on cooperative liquidity. Hypothesis testing uses the t test, that t arithmetic = 3.347 while t table = 3.182 means t arithmetic&gt; t table. Means that Ho is rejected and Ha is accepted. There is an influence between the receivables on liquidity at PT. Graha Tumarima, Sukabumi City

Development and evaluation of trans-Amadi groundwater parameters: The integration of finite element techniques

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Finite Element ◽  
Polynomial Regression ◽  
Nitrate Concentration ◽  
Strong Relationship ◽  
Total Iron ◽  
Coefficient Of Determination ◽  
Port Harcourt ◽  
Polynomial Expression ◽  
The Relationship ◽  
Best Fit

Mathematical model was developed and evaluated to monitor and predict the groundwater characteristics of Trans-amadi region in Port Harcourt City. In this research three major components were considered such as chloride, total iron and nitrate concentration as well as the polynomial expression on the behavious on the concentration of each component was determined in terms of the equation of the best fit as well as the square root of the curve. The relationship between nitrate and distance traveled by Nitrate concentration by the model is given as Pc = 0.003x2 - 0.451x + 14.91with coefficient of determination, R² = 0.947, Chloride given as Pc = 0.000x2 - 0.071x + 2.343, R² = 0.951while that of Total Iron is given as Pc = 2E-05x2 - 0.003x + 0.110, R² = 0.930. All these show a strong relationship as established by Polynomial Regression Model. The finite element techniques are found useful in monitoring, predicting and simulating groundwater characteristics of Trans-amadi as well as the prediction on the variation on the parameters of groundwater with variation in time.

STUDIES ON ELIMINATION OF CHLOROPHYLL-A AND INGESTION RATE IN EUTROPHIC WATER BY ANODONTA WOODIANA ELLIPTICA

2010 ◽  
Vol 36 (4) ◽  
pp. 779-786
Author(s):  
Tao DING ◽  
Lin LI ◽  
Liang PENG ◽  
Yan-Xia ZUO ◽  
Li-Rong SONG
Keyword(s):  
Chlorophyll A ◽  
Ingestion Rate ◽  
Eutrophic Water ◽  
Anodonta Woodiana

scholarly journals Tourism Industry and Economic Growth Nexus in Beijing, China

Economies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 25 ◽  
Author(s):  
Yang Songling ◽  
Muhammad Ishtiaq ◽  
Bui Thi Thanh
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Strong Support ◽  
Growth Index ◽  
Strong Relationship ◽  
Tourism Industry ◽  
Var Model ◽  
Long Run ◽  
The Relationship ◽  
Beijing China

In the developing economy, tourism is the most visible and steadiest growing facade. Tourism is considered one of the rapidly increasing elements for economic development from the last two decades. Therefore, the proposed study used vector autoregression (VAR) model, error correction model (ECM), and the Granger causality to check the relationship between the tourism industry and economic growth based on the data of the Beijing municipal bureau of statistics from 1994 to 2015. Gross domestic product (GDP) is used as a replacement variable for the economic growth index, while internal tourism revenue is used as a tourism industry indicator. The study supports the tourism-led growth hypothesis proposed in the existing literature in a different survey of tourism and economic development. The results show that there is a strong relationship in the tourism industry and economic growth in the context of Beijing, and at the same time, tourism creates a more significant increase in long run local real economic accomplishments. The results of the VAR model confirm that in the long run, Beijing’s economic growth is affected by domestic tourism, while the ECM model shows unidirectional results in the short term. Similarly, there is a one-way causal relationship between the tourism industry and economic growth in Beijing, China. The empirical results are in strong support of the concept that tourism causes growth.

Generational Change and Continuity in British Partisan Choice

1976 ◽  
Vol 6 (3) ◽  
pp. 364-368
Author(s):  
Paul R. Abramson
Keyword(s):  
Social Class ◽  
Strong Relationship ◽  
Political Life ◽  
Generational Change ◽  
The 1960S ◽  
The Relationship

The strong relationship between social class and partisan choice is one of the most extensively documented facts of British political life; but that relationship declined markedly during the 1960s, as Butler and Stokes have shown. Their lucid documentation of the declining class–party nexus is among the major findings of the second edition of their book, and, as class-based partisanship is particularly low among the young, many might conclude that the relationship between class and party will continue to decline in future. It would, however, be premature to reach this conclusion.

Cold tolerance of the Antarctic springtail Gomphiocephalus hodgsoni (Collembola, Hypogastruridae)

2001 ◽  
Vol 13 (3) ◽  
pp. 271-279 ◽  
Author(s):  
Brent J. Sinclair ◽  
Heidi Sjursen
Keyword(s):  
Cold Tolerance ◽  
Thermal Environment ◽  
Strong Relationship ◽  
Dry Weight ◽  
Glycerol Content ◽  
Recrystallization Inhibition ◽  
Low Levels ◽  
Inhibition Studies ◽  
The Antarctic ◽  
The Relationship

Cold tolerance of the springtail Gomphiocephalus hodgsoni Carpenter (Collembola: Hypogastruridae) was studied at Cape Bird, Ross Island, Antarctica (77°13′S, 166°26′E). Microclimate temperatures indicate a highly seasonal thermal environment, with winter minima <–39°C. Snow cover significantly buffers both minimum temperatures and cooling rates. Gomphiocephalus hodgsoni survives low temperatures by avoiding freezing. Mean low group supercooling points (SCPs) ranged from –35.4°C in October to –28.3°C in January. The lowest SCP measured was –38.0°C. The high SCP group was very small, making up only 18% of the population in January. In October, G. hodgsoni had a very high glycerol content (>80 μg mg−1 dry weight), although this declined rapidly to low levels (c. 7–10 μg mg−1 dry weight) in January. Quantities of glucose and trehalose were low during October, but steadily increased throughout the summer. Haemolymph osmolality was exceptionally high (up to 1755 mOsm kg−1) at the end of November, but this rapidly declined to c. 500 mOsm kg−1 by late December. The presence of thermal hystersis proteins was indicated by both osmometry on haemolymph samples and recrystallization inhibition studies of springtail homogenates. There was a strong relationship between glycerol content and SCP, but the relationship between haemolymph osmolality, SCP and carbohydrates is uncertain.

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