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Identifikasi dan Analisis Molekuler Hemosianin sebagai Gen Ketahanan Tubuh Udang Vaname (Litopenaeus vannamei) Amanda, Talitha; Kilawati, Yuni; Maftuch
Jurnal Penelitian Pendidikan IPA Vol 10 No 6 (2024): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i6.7331

Abstract

Production of white shrimp (Litopenaeus vannamei) tends to decrease every year caused by diseases, one of which is White Feces Disease (WFD). Genetically, monitoring has been carried out on the parent characters of SPF (Specific Pathogen Free) shrimp imported from Hawaii and Florida with low genetic variation. If there is a threat such as disease caused by bacteria and the gene that codes for disease control or the body's resistance gene is missing, it allows the individual to become susceptible to disease. Gene that codes for body resistance in white shrimp is hemocyanin. Hemocyanin gene studies are needed as a first step in controlling disease in white shrimp. Method used is a descriptive method. Procedures carried out are sample collection, detection of WFD, molecular analysis of hemocyanin and data analysis. Results showed that healthy shrimp had hemocyanin while shrimp with WFD had very little or no amount of hemocyanin. Hemocyanin gene profile in healthy shrimp was also analyzed and there were 4 nucleotide change made changes to 4 amino acid. Changes in amino acids affect the stability of hemocyanin and cause polymorphism of hemocyanin. Phylogenetic analysis showed dendogram split into two clades between L. vannamei and P. monodon.
Analysis of the Implementation of Automatic Feeding IoT Systems on the Productivity of Catfish (Clarias sp.) Aquaculture Amanda, Talitha; Kaunang, Sandra Dewi Elizabet; Miswanto; Apriandi, Muhammad Chairil; Faqih, Raden
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.13023

Abstract

Feed represents the largest expense in catfish (Clarias sp.) aquaculture, accounting for up to 70% of production costs. Improving feed efficiency is therefore essential to enhance productivity and reduce operational costs. This study developed and evaluated an Internet of Things (IoT)-based automatic feeder designed for small-scale aquaculture. The novelty of this research lies in the integration of Arduino and BARDI components into an affordable autofeeder system that supports precision feeding management for smallholders. Two feeding methods were compared: manual feeding and automatic feeding using the developed IoT-based system. Productivity indicators measured included Feed Conversion Ratio (FCR), Specific Growth Rate (SGR), Survival Rate (SR), and water quality. Results showed that conventional feeding produced lower FCR (0.29) and higher SGR (18.50%/day) during the early growth phase. Survival rates were relatively low (60–63%) but improved in later weeks. Most water quality parameters remained within the optimal range, except for temperature, which slightly exceeded tolerance levels and contributed to mortality. Although the IoT-based feeder requires further refinement to match manual feeding performance, it demonstrates strong potential to improve feeding accuracy, reduce labor dependency, and promote sustainability in small-scale catfish aquaculture.