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PENINGKATAN PENGETAHUAN MASYARAKAT KAMPUS MELALUI EDUKASI ONLINE TENTANG MEKANISME COVID-19 Mulyani, Erry Yudhya; Pamungkas, Rian Adi; Ummanah, Ummanah; Arrozi, Muhammad Fachruddin; Saputra, Sugiyono
Jurnal Pengabdian Masyarakat AbdiMas Vol 6, No 4 (2020): Jurnal Pengabdian Masyarakat Abdimas
Publisher : Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/abd.v6i4.3548

There were 23,851 Covid-19 cases in Indonesia at the end of May 2020, with a death rate of 1,473. Coronavirus is a group of viruses that can cause disease in animals or humans. Covid-19 is a contagious disease, with a new type of virus that occurred in Wuhan, China, in December 2019. The purpose of this activity is to increase knowledge and demeanour about the mechanism of Covid-19 as an effort to prevent the Covid-19 disease. The method of activity is carried out with socialization (lecture) and FGD (Forum Group Discussion). The target of this activity is the campus community consisting of staff-bureaus, lecturers, and the rest of the university staff. The number of participants who participated was 79 people. Most were from the faculty of law (21.5%), health sciences (21.5%), psychology (21.5%), and computer science (16.5%). The results of the socialization showed that most participants understood about the Covid-19 mechanism; knowledge (good) 67.1% and attitude (positive) 59.5%. The results of the FGD showed that participants mainly discussed the dangers of the virus (transmission mechanism, virus resistance, ways of working) (52.4%), prevention efforts (23.8%), infected subjects (14.3%) and the Covid-19 symptoms (9.5%). As many as 92.0% expressed an understanding and tried to prevention based on information provided. This activity increased knowledge about the Covid-19 mechanism in preventing transmission by 24.9%. Thus, it is important to carry out an educational activities especially with online methods routinely and periodically in an effort to increase knowledge regarding the conditions of the pandemic. Ã‚Â Keywords: Online Education, Covid-19, Knowledge

SARS-CoV-2 lineages and naso-oropharyngeal bacterial communities in COVID-19 reinfection: A study in West Java, Indonesia Sativa, Alvira R.; Asyifa, Isnaini Z.; Adzdzakiy, Muhammad M.; Iryanto, Syam B.; Nugroho, Herjuno A.; Wulandari, Ari S.; Yanthi, Nova D.; Nasrulloh, Mukh F.; Rahmawati, Ema; Alamanda, Cut NC.; Ristandi, Ryan B.; Rachman, Rifky W.; Robiani, Rini; Agustiyani, Dian F.; Wisnuwardhani, Popi H.; Wardiana, Andri; Ningrum, Ratih A.; Dharmayanthi, Anik B.; Prasetyoputri, Anggia; Fibriani, Azzania; Saputra, Sugiyono
Narra J Vol. 5 No. 3 (2025): December 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i3.2901

Continuous emergence of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants may influence viral transmission dynamics and alter interactions with the respiratory microbiota, potentially increasing the risks of reinfection. This study investigated cases of coronavirus disease 2019 (COVID-19) reinfection in West Java, Indonesia, with the aim of identifying the SARS-CoV-2 variants involved, characterizing their genomic mutations, and profiling the nasal and oropharyngeal microbiota associated with reinfection. Naso-oropharyngeal swab samples were collected from 42 COVID-19 reinfection cases and nine new infection cases. Whole genome sequencing was performed using Oxford Nanopore Technologies (ONT) MinION Mk1C and variant analysis was conducted using ARTIC workflow. Nexstrain and PANGOLIN were used to determine the lineages. Phylogenetic trees were constructed using IQ-tree and FigTree. Key mutations were identified by Cov-GLUE. Additionally, 16s rRNA amplicon sequencing was conducted on nine samples from each group to analyze bacterial communities using EPI2ME and MicrobiomeAnalyst. All identified SARS-CoV-2 strains in this study were Delta variant (B.1.617.2), predominantly lineage AY.23 (n=46, 90%), followed by AY.24 (n=3) and AY.109 (n=2). No differences in SARS-CoV-2 lineages were observed between reinfection and new infection cases. Unique hotspot mutations found only in COVID-19 reinfections included NSP3, V220A, S_T676I, ORF7a_V82A, and ORF7a_TI20I. Bacterial community analysis revealed no significant diversity differences (alpha and beta) between the two groups. While the most dominant phylum remained Terrabacteria in both groups, Streptococcus was dominant in COVID-19 reinfections, whereas Prevotella was dominant in new infection cases. Notably, Haemophilus parainfluenzae, Fusobacterium periodonticum, Fusobacterium nucleatum, and Leptotrichia buccalis had significant increases in reinfection cases. Despite the similarity in SARS-CoV-2 lineages causing both COVID-19 reinfection and new infection cases, the presence of distinct key mutations and bacterial species suggest their potential as biomarkers within this group.

Multidrug-resistant Bacteria in Domestic Cats (Felis catus): A Global Health Threat Emerging from Pets Mumtaza, Furzania; Jatmiko, Yoga Dwi; Salsabila, Maudy Syifa; Faturohmah, Yorda Nur; Fauziah, Ima; Saputra, Sugiyono
The Journal of Experimental Life Science Vol. 16 No. 1 (2026)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2026.016.01.01

Cats (Felis catus) act as potential reservoirs for pathogenic bacteria due to their close contact with humans. Despite growing concerns about antimicrobial resistance (AMR) and zoonotic transmission, data on the diversity of antimicrobial-resistant bacteria, especially Staphylococcus aureus, in cats in Indonesia are limited. This study aimed to identify indicator bacteria in domestic cats and characterize their antimicrobial resistance (AMR) profiles. Nine earlobe swab samples were collected from cats at the Splendid Animal Market and Jalan Simpang Madukoro, Malang, in January 2023. White-toyellow colonies with hemolytic activity formed on blood agar. Six antibiotics are used to asses antimicrobial susceptibility. Based on the European Committee on Antimicrobial Susceptibility Testing (EUCAST) breakpoints, all isolates (100%) were resistant to rifampicin; seven isolates (78%) to oxacillin and cefoxitin; six isolates (67%) to gentamicin; four isolates (44%) to ceftriaxone; and one isolate (11%) to ciprofloxacin. Seven isolates (P1D, P3, P5, P7, R3, R5, and R9) were resistance to more than three antibiotic classes were classified as multidrug-resistant bacteria (MDR). Molecular identification using 16S rRNA gene sequencing and phylogenetic analysis revealed the isolates as Chryseobacterium sp. (P1D), Enterobacter hormaechei (P3), Acinetobacter sp. (P5), Enterobacter cloacae (P7), Exiguobacterium sp. (P9A), Staphylococcus sciuri (R1A), Enterococcus hirae (R3), Pantoea sp. (R5), and Stenotrophomonas maltophilia (R9). The detection of ceftriaxone resistance and the presence of MDR bacterial strains indicate that cats carry resistant bacteria that may impact public health.

LITERATURE REVIEW: KARAKTERISTIK DAN DISTRIBUSI CORONAVIRUS PADA KELELAWAR SEBAGAI RESERVOIR ALAMI Dwi Adinda Putri, Desrinda; Saputra, Sugiyono; Hilda Putri, Dwi
Jurnal Biogenerasi Vol. 11 No. 2 (2026): April - Juni 2026
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/azkxbc74

Coronavirus merupakan virus RNA untai tunggal positif yang memiliki keragaman genetik tinggi dan mampu berevolusi melalui mutasi serta rekombinasi. Kelelawar diketahui sebagai reservoir alami coronavirus karena memiliki sistem imun yang unik serta karakteristik ekologi yang mendukung penyebaran virus. Penelitian ini bertujuan untuk menganalisis dan mensintesis berbagai hasil penelitian mengenai karakteristik dan distribusi coronavirus pada kelelawar. Metode yang digunakan adalah literature review dengan mengumpulkan artikel dari Google Scholar, PubMed, dan ScienceDirect dalam sepuluh tahun terakhir. Hasil kajian menunjukkan bahwa coronavirus pada kelelawar memiliki keragaman genetik yang tinggi, terutama pada kelompok Alphacoronavirus dan Betacoronavirus, serta tersebar luas di berbagai wilayah, khususnya Asia Tenggara. Beberapa penelitian juga menunjukkan adanya potensi transmisi lintas spesies (spillover) yang dipengaruhi oleh adaptasi virus dan faktor lingkungan. Kesimpulannya, kelelawar berperan penting dalam menjaga keragaman dan distribusi coronavirus, sehingga diperlukan pemantauan yang berkelanjutan untuk mencegah munculnya penyakit zoonotik di masa depan.

SARS-CoV-2 lineages and naso-oropharyngeal bacterial communities in COVID-19 reinfection: A study in West Java, Indonesia Sativa, Alvira R.; Asyifa, Isnaini Z.; Adzdzakiy, Muhammad M.; Iryanto, Syam B.; Nugroho, Herjuno A.; Wulandari, Ari S.; Yanthi, Nova D.; Nasrulloh, Mukh F.; Rahmawati, Ema; Alamanda, Cut NC.; Ristandi, Ryan B.; Rachman, Rifky W.; Robiani, Rini; Agustiyani, Dian F.; Wisnuwardhani, Popi H.; Wardiana, Andri; Ningrum, Ratih A.; Dharmayanthi, Anik B.; Prasetyoputri, Anggia; Fibriani, Azzania; Saputra, Sugiyono
Narra J Vol. 5 No. 3 (2025): December 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i3.2901

Continuous emergence of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants may influence viral transmission dynamics and alter interactions with the respiratory microbiota, potentially increasing the risks of reinfection. This study investigated cases of coronavirus disease 2019 (COVID-19) reinfection in West Java, Indonesia, with the aim of identifying the SARS-CoV-2 variants involved, characterizing their genomic mutations, and profiling the nasal and oropharyngeal microbiota associated with reinfection. Naso-oropharyngeal swab samples were collected from 42 COVID-19 reinfection cases and nine new infection cases. Whole genome sequencing was performed using Oxford Nanopore Technologies (ONT) MinION Mk1C and variant analysis was conducted using ARTIC workflow. Nexstrain and PANGOLIN were used to determine the lineages. Phylogenetic trees were constructed using IQ-tree and FigTree. Key mutations were identified by Cov-GLUE. Additionally, 16s rRNA amplicon sequencing was conducted on nine samples from each group to analyze bacterial communities using EPI2ME and MicrobiomeAnalyst. All identified SARS-CoV-2 strains in this study were Delta variant (B.1.617.2), predominantly lineage AY.23 (n=46, 90%), followed by AY.24 (n=3) and AY.109 (n=2). No differences in SARS-CoV-2 lineages were observed between reinfection and new infection cases. Unique hotspot mutations found only in COVID-19 reinfections included NSP3, V220A, S_T676I, ORF7a_V82A, and ORF7a_TI20I. Bacterial community analysis revealed no significant diversity differences (alpha and beta) between the two groups. While the most dominant phylum remained Terrabacteria in both groups, Streptococcus was dominant in COVID-19 reinfections, whereas Prevotella was dominant in new infection cases. Notably, Haemophilus parainfluenzae, Fusobacterium periodonticum, Fusobacterium nucleatum, and Leptotrichia buccalis had significant increases in reinfection cases. Despite the similarity in SARS-CoV-2 lineages causing both COVID-19 reinfection and new infection cases, the presence of distinct key mutations and bacterial species suggest their potential as biomarkers within this group.

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