Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021Production function model of African catfish hatchery business in Joho village, Wates, Kediri2citations

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Chart of shared publication
Supriyadi, Supriyadi
1 / 2 shared
Alfarizi, W.
1 / 1 shared
Sari, M.
1 / 3 shared
Aisyah, D.
1 / 1 shared
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2021

Co-Authors (by relevance)

  • Supriyadi, Supriyadi
  • Alfarizi, W.
  • Sari, M.
  • Aisyah, D.
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document

Production function model of African catfish hatchery business in Joho village, Wates, Kediri

  • Supriyadi, Supriyadi
  • Alfarizi, W.
  • Asshovani, C.
  • Sari, M.
  • Aisyah, D.
Abstract

<jats:title>Abstract</jats:title><jats:p>The use of production inputs on African catfish hatchery business can cause production risks also can reduce production risks. This study aims to analyze the effect of production inputs cause on production risks faced by African catfish hatchery cultivators in Joho Village, Wates, Kediri. This study took 30 respondents conducted by snowball sampling and the data analysis method used Cobb-Douglas model. Data processing tools used Microsoft Excel 2016 and R-Studio 4.0.1 statistical software. The results showed production inputs of artificial feed, broodstock, and drugs significantly affect productivity. Increased of broodstock significantly decreases production risk, and increased of medicines significantly increase production risk. The policy recommendations of this study are limiting the use of production inputs that could pose production risk, and good fish farming implementation methode based on the policy of Directorate General of Aquaculture (DJPB).</jats:p>

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