relation: https://eprints.untirta.ac.id/51338/
title: PENDUGAAN PANJANG BAKU IKAN NILA (Oreochromis  niloticus) BERBASIS Truss Morphometrics UNTUK  SIMULASI STOK PERAIRAN TERKENDALI
creator: RAFI', MUHAMMAD
subject: QL Zoology
subject: SH Aquaculture. Fisheries. Angling
description: Tilapia (Oreochromis niloticus) is a freshwater species that has strategic value in  supporting national food security, particularly through intensive aquaculture  activities. In the context of stock estimation and population growth projections,  precise standard length (SL) data is essential as the basis for biological analysis.  Unfortunately, conventional approaches to fish length measurement often yield  biased data due to the limitations of manual techniques. This study aims to  examine the strength of the relationship between truss-based morphometric  characteristics and standard length in Nile tilapia, as well as to develop a relevant  and applicable predictive model for closed biofloc aquaculture systems. The  research was conducted in March 2025 at the Aquaculture Laboratory of Sultan  Ageng Tirtayasa University, using an experimental method with a total of 30  randomly selected fish individuals measured based on 21 truss parameters through  three repetitions. Simple and multivariate linear regression analyses were applied  to assess the contribution of each truss character to standard length, with model  validation using Root Mean Square Error (RMSE) values. The study results  showed that the D4, D3, and C5 characteristics of the posterior body section had a  highly significant relationship with standard length, with R² values of 0.8645,  0.8544, and 0.8583, respectively. Meanwhile, the multivariate model with the D  character group showed the best predictive performance, with the highest R² value  of 0.9026 and the lowest RMSE of 2.0154 mm, confirming the importance of the  posterior body structure in linear fish growth. This model is non-invasive, making  it highly suitable for implementation in automated and sustainable fish stock  monitoring, as well as for seed selection based on morphometric indicators. The  implications of this study suggest that truss morphometrics can serve as a reliable  predictive tool in precision aquaculture systems; however, further studies are  recommended to integrate genetic and environmental factors to refine the  resulting model.
date: 2025
type: Thesis
type: NonPeerReviewed
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identifier: https://eprints.untirta.ac.id/51338/1/MUHAMMAD%20RAFI%27_4443210078_Fulltext.pdf
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identifier: https://eprints.untirta.ac.id/51338/3/MUHAMMAD%20RAFI%27_4443210078_01.pdf
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identifier: https://eprints.untirta.ac.id/51338/4/MUHAMMAD%20RAFI%27_4443210078_02.pdf
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identifier: https://eprints.untirta.ac.id/51338/5/MUHAMMAD%20RAFI%27_4443210078_03.pdf
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identifier: https://eprints.untirta.ac.id/51338/6/MUHAMMAD%20RAFI%27_4443210078_04.pdf
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identifier: https://eprints.untirta.ac.id/51338/7/MUHAMMAD%20RAFI%27_4443210078_05.pdf
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identifier: https://eprints.untirta.ac.id/51338/8/MUHAMMAD%20RAFI%27_4443210078_Ref.pdf
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language: en
identifier: https://eprints.untirta.ac.id/51338/17/MUHAMMAD%20RAFI%27_4443210078_Lamp.pdf
identifier:   RAFI', MUHAMMAD  (2025) PENDUGAAN PANJANG BAKU IKAN NILA (Oreochromis niloticus) BERBASIS Truss Morphometrics UNTUK SIMULASI STOK PERAIRAN TERKENDALI.  S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.