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ISOLASI, IDENTIFIKASI DAN ENUMERASI BAKTERI Salmonella spp. PADA HASIL PERIKANAN SERTA RESISTENSINYA TERHADAP ANTIBIOTIK Aulia, Rizky; Handayani, Tri; Yennie, Yusma
Bioma Vol. 11 No. 2 (2015): Bioma
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1158.202 KB) | DOI: 10.21009/Bioma11(2).2

Abstract

ABSTRACT Salmonella spp. is one of the bacteria that can contaminate fresh fishery products. Diseases that can be caused by the bacteria Salmonella spp. called salmonellosis. Salmonellosis disease can be treated with antibiotics. However, the use of antibiotics continually raises the emergence strains of Salmonella bacteria that are resistant to antibiotics. This study aims to determine the prevalence and number of bacteria Salmonella spp. on fishery products as well as the resistance of Salmonella spp. to antibiotics in Jakarta and Bogor. The number of samples fresh fishery products obtained by 45 samples consisting of: a) 25 samples derived from traditional markets, and b) 20 samples derived from modern market. Isolation performed with conventional method. Identification of Salmonella spp. used biochemical and serological test. Resistance of Salmonella to antibiotics testing using disc diffusion method. The results of the identification Salmonella spp. positive sample traditional market fresh fish as much as 9 samples (36%), whereas the modern market by 6 positive samples contaminated with Salmonella spp. (30%). The number of bacteria Salmonella spp. from traditional market is about: 3,0×100 – 1,1×103 APM/g; from modern market: 3,0×100 – 2,9×102 APM/g. Based on resistance testing of Salmonella spp. to antibiotics, this bacteria has the highest level of resistance to the antibiotic erythromycin types of 93.75%. Keywords: Salmonella spp., fishery, enumeration, resistant, antibiotic
Spatio-Seasonal Habitat Suitability Model of Anisakis spp. in Chub Mackerel (Scomber Japonicus) as a Scientific-Based Approach to Provide Safety Assessment Policy of Fisheries Product in Indonesia Hidayah, Izhamil; Sutomo, Sutomo; Pujiono, Eko; Saputra, Muhammad Hadi; Humaida, Nida; Januar, Hedi Indra; Anggraeni, Yusnita Mirna; Puspasari, Herti Windya; Triwibowo, Radestya; Rachmawati, Novalia; Iswani, Sri; Yennie, Yusma; Santoso, Agung
Squalen, Buletin Pascapanen dan Bioteknologi Kelautan dan Perikanan Vol 18, No 3 (2023): December 2023
Publisher : :Agency for Marine and Fisheries Research and Human Resources, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/squalen.804

Abstract

The infestation of Anisakis spp. in Chub mackerel (Scomber japonicus) may have significant health and socioeconomic implications. Understanding the spatio-seasonal occurrence of Anisakis spp. in its host, S. japonicus, is crucial ecologically and for effective management. This research aimed to develop a predictive map (spatial-seasonal patterns) for Anisakis’s infestation in S. japonicus using the maximum entropy (MaxEnt) algorithm. Anisakis spp. and S. japonicus occurrences were obtained through a comprehensive Bibliographic analysis of the Scopus database (2017-2022) and the Ocean Biodiversity Information System (OBIS) database to collect the necessary data. Environmental predictors were sourced from the Global Marine Environment Data. The resulting model demonstrated a reliable performance, as indicated by an Area Under Curve (AUC) value on the Receiver Operating Characteristic (ROC) chart exceeding 0.8. The findings of this study revealed that the infestation of Anisakis spp. in S. japonicus is projected to be more prevalent during the fourth quarter of each year. Furthermore, the environmental factors influencing the infestation were identified as diffuse attenuation, water depth, and distance from the coast. These research outcomes can be a foundational reference for developing an effective control system for inspecting fresh or frozen fish within the quarantine department. By utilizing the spatial-seasonal patterns and environmental predictors identified in this study, authorities can implement targeted measures to prevent and mitigate the infestation of Anisakis spp. in S. japonicus, safeguarding public health and maintaining the quality of fish products.