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All Journal Comment: an International Journal of Community Development Science Information System and Technology
Arshad, Adnan
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Computer Science & IT Other

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Marketing Mix Extension to Boost Distribution Product of Catfish Shredded Sundari, Ristina Siti; Umbara, Dona Setia; Kusmayadi, Andri; Arshad, Adnan
Comment: an International Journal of Community Development Vol. 1 No. 2 (2019)
Publisher : Comment: an International Journal of Community Development

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Abstract

To success “Gemarikan” program such government’s design needed creativity along process. One of creative process was shredded making. This way had good prospect to be developed nevertheless the circulation of capital oftentimes stuck due to not sold completely but left in the market due to consignation system ever. This community engagement aimed to increase Catfish shredded marketing to break capital and product circulation stuck dealing with ran well and sustainable business and also create new entrepreneur throughout Small and Middle Entrepreneurs in county. The method used extension and implementation possible marketing mix. The result defined that producer was helped by these strategies for distributing, marketing catfish shredded faster than before deal with combining between direct selling, reselling and using market place of social media. In addition, student begin to blaze the way to be entrepreneur.
Advancing Animal Health: A Web-Based Expert System Utilizing Forward Chaining for Disease Diagnosis Sarmidi, Sarmidi; Bastian, Ade; Taufiq, Muhammad; Rusyn, Volodymyr; Arshad, Adnan; Siti Sundari, Ristina
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1207

Abstract

The increasing prevalence of animal diseases, along with the increasing need for animal products, highlights the urgent need for efficient diagnostic tools in veterinary medicine. The aim of this research is to create an expert system that uses a forward chaining algorithm to diagnose animal diseases. The forward chaining algorithm is a deductive reasoning approach that starts with existing facts and uses expert tree rules for hypotheses. This process continues until the desired goal is achieved or no additional conclusions can be drawn. Even though there are developments in expert systems, there are still shortcomings in implementing the forward chain for rapid and precise diagnosis of livestock diseases. This work aims to fill this gap by developing an expert system that improves the accuracy and efficiency of disease diagnosis in the livestock industry. A database of animal diseases and symptoms was created by observing and interacting directly with farmers. The system architecture is specifically intended to optimize data processing and user engagement, enabling rapid diagnosis and treatment recommendations. This test shows a level of accuracy and precision, thereby reducing the possibility of misdiagnosis. The capacity of expert systems to provide fast and reliable diagnoses has the potential to improve livestock health management, thereby helping farmers maintain animal welfare and productivity. The results of this work advance the field of veterinary diagnostics and propose other uses of expert systems in animal health management.
Co-Authors Ade Bastian Andri Kusmayadi Dona Setia Umbara Muhammad Taufiq Ristina Siti Sundari Rusyn, Volodymyr Sarmidi Sarmidi