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All Journal Jurnal Medik Veteriner Indonesian Journal of Electrical Engineering and Computer Science
Sujatmiko, Wisnu
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Biochemistry, Genetics & Molecular Biology Veterinary

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First Record of Anguillid Herpesvirus 1 Linked to a Mass Mortality Event in Shortfin Eel (Anguilla bicolor) in Indonesia Romadhona, Ekky Ilham; Widantara, Handang; Aslia, Aslia; Megawati, Novi; Ardiansyah, Arif Rahmat; Larassagita, Annisa Fitri; Dewi, Kiki Mariya; Farman, Aditia; Chaidir, Iding; Sujatmiko, Wisnu; Yaniharto, Dedy; Budiardi, Tatag; Aliah, Ratu Siti; Sutanti, Sutanti
Jurnal Medik Veteriner Vol. 8 No. 1 (2025): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jmv.vol8.iss1.2025.134-143

Abstract

Anguillid herpesvirus 1 (AngHV-1), a member of the Alloherpesviridae family, is known to cause high mortality in both wild and farmed eels. Notably, no cases of AngHV-1 infection in Indonesia until June 2023, when a significant mortality rate exceeding 75% among cultured glass eels was documented in Bogor, Indonesia. This study investigated the outbreak by collecting 30 diseased fish from multiple cultured tanks to examine clinical symptoms, histopathological changes, and viral presence through PCR targeting the viral DNA polymerase gene. Hemorrhagic lesions in the abdomen and anal regions were the primary clinical symptoms. Histopathological examination revealed hyperplasia, fusion, and epithelial lifting of the gill secondary lamellae. PCR, using 394 bp primer specific for AngHV-1, confirmed 100% infection among the collected samples, indicating rapid viral transmission within the rearing environment. Phylogenetic analysis of partial DNA polymerase amino acid sequences showed that Indonesian AngHV-1 isolate is genetically diverse and shares similarities with strains from China, Taiwan, Canada, and several European countries, suggesting the emergence of a novel strain. This study highlights the urgent need for enhanced biosecurity measures to curb AngHV-1 spread in the Indonesian eel aquaculture sector.
BFT water color classification in tilapia aquaculture using computer vision Suwandi, Bondan; Anggraeni, Sakinah Puspa; Palokoto, Toto Bachtiar; Sulistya, Budi; Sujatmiko, Wisnu; Septiawan, Reza; Taufik, Nashrullah; Rufiyanto, Arief; Ardiansyah, Arif Rahmat
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 1: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i1.pp497-508

Abstract

Biofloc technology (BFT) is one of the most promising aquaculture cultivation methods in the modern aquaculture era because of its high efficiency level, especially in water and fodder use. Usually, the general condition of the biofloc can be known from the color of the water. By utilizing the vision sensor, BFT color identification can be done automatically, which helps cultivators find out their BFT system’s condition. In this research, a classification was made for the watercolor of the BFT Tilapia system based on the microbial community color index (MCCI) value and the initial cultivation conditions where algae and nitrifying bacteria had not developed significantly. The color classifications of the bioflocs are clear, green, browngreen, green-brown, and deep-brown. Clear color is the new classification to indicate BFT water conditions in the initial cultivation phase. Further, two computer vision algorithm methods are introduced to classify the color of BFT system water. The first method combines the B/W algorithm and MCCI calculations, while the second algorithm uses the Manhattan distance algorithm approach. From the experiments that have been carried out, both computer vision algorithms methods for classifying biofloc colors have shown promising results.
Comparative Morphometric Analysis of a Salinity-Tolerant Nile Tilapia (Oreochromis niloticus) Local Strain (Salina) and Its Parental Strains Bawono, Yohanes Pamungkas; Dewi, Kiki Mariya; Romadhona, Ekky Ilham; Widantara, Handang; Sujatmiko, Wisnu; Aliah, Ratu Siti; Sutanti, Sutanti; Larassagita, Annisa Fitri; Firmansyah, Muhamad Kholik; Megawati, Novi; Aslia, Aslia; Ardiansyah, Arif Rahmat; Chaidir, Iding; Yaniharto, Dedy
Jurnal Medik Veteriner Vol. 8 No. 2 (2025): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jmv.vol8.iss2.2025.424-444

Abstract

This study focuses on the morphology of the Nile tilapia local strain (Salina), a salinity-tolerant tilapia hybrid strain developed by crossbreeding between female Nile tilapia Red NIFI with male Nile tilapia Sultana. The research aimed to analyse the morphometric characteristics of the Salina strain to understand species adaptation to suboptimal environmental conditions compared with the parental groups. A total of 60 Nile tilapia fish, ten female and ten male samples from each strain (Salina, Sultana, and red NIFI), were measured for their total length (TL), standard length (SL), head length (HL), body width (WID), dorsal fin length (DL), caudal fin length (CL), pectoral fin length (PL), caudal peduncle depth (CPD), eye diameter (ED), snout length (SNL), and body weight (BW). Each measurement parameter was then normalized by comparing it with the standard length (SL). The data were analysed using MS Excel 2019 and R v4.5.1 for all statistical analysis including MANOVA, Canonical Variance Analysis, Principal Component Analysis, and Hierarchical Clustering Analysis. Condition factor (K) and length-weight relationship (LWR) were calculated to investigate growth conditions and allometric growth patterns, respectively. Based on the findings, the six tilapia populations exhibit overlapping morphological traits, except for female Salina with slight differences in morphological variations. This implies its potential unique traits acquired from crossbreeding between two different strains. Meanwhile, male Salina showed morphometric traits closely aligned with its male parent, the Sultana strain. The condition factor across all populations indicates favourable growth conditions, although the negative allometric growth pattern suggests that length increases more rapidly than body weight, implying an adaptive trade-off in suboptimal environments.
Co-Authors Anggraeni, Sakinah Puspa Ardiansyah, Arif Rahmat Aslia, Aslia Bawono, Yohanes Pamungkas Chaidir, Iding dedy yaniharto Dewi, Kiki Mariya Farman, Aditia Firmansyah, Muhamad Kholik Larassagita, Annisa Fitri Megawati, Novi Palokoto, Toto Bachtiar Ratu Siti Aliah Romadhona, Ekky Ilham Rufiyanto, Arief Septiawan, Reza Sulistya, Budi sutanti sutanti Suwandi, Bondan Tatag Budiardi Taufik, Nashrullah Widantara, Handang