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All Journal Journal of Research in Pharmacy and Pharmaceutical Sciences
Anisa Puja Ningrum
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Biochemistry, Genetics & Molecular Biology Health Professions Immunology & microbiology Medicine & Pharmacology Other

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MICROBIAL CONTAMINATION TEST USING THE MOST PROBABLE NUMBER (MPN) METHOD ON SWEET SOY SAUCE AROUND UPN “VETERAN” JAKARTA PONDOK LABU CAMPUS MICROBIAL CONTAMINATION TEST USING THE MOST PROBABLE NUMBER (MPN) METHOD ON SWEET SOY SAUCE AROUND UPN “VETERAN” JAKARTA PONDOK LABU CAMPUS Ariska Deffy Anggarany; Alisha Dian Prasasti; Amara Ayu Karlina; Anisa Puja Ningrum; Aurelie Reginia Iteh; Bimo Asrul Seno; Nabilah Siti Zahara
Journal of Research in Pharmacy and Pharmaceutical Sciences Vol 3 No 2 (2024): Vol.3 No.2 DECEMBER (2024)
Publisher : Pharmacy Program, Faculty of Medicine, UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33533/jrpps.v3i2.10997

Abstract

Sweet soy sauce is a fermented soybean product widely used as a traditional Indonesian seasoning. Its production process involves specific microorganisms to develop unique taste, aroma, and texture characteristics. However, poor hygiene and sanitation can lead to microbial contamination, such as Coliform, which may degrade quality and pose health risks. This study aimed to evaluate the microbiological quality of sweet soy sauce using the Most Probable Number (MPN) method. Samples were collected from food vendors around the UPN "Veteran" Jakarta campus and tested using liquid media to detect the presence of Coliform. The results showed that sample 1 (street vendor) had an MPN value of 14 MPN/gram, exceeding the BPOM safety limit (3 MPN/gram), while sample 2 (packaged soy sauce from a minimarket) was within the safety limit at 3 MPN/gram. A confirmatory test detected the presence of Escherichia coli in sample 1 but not in sample 2. Proper product handling, implementation of Good Manufacturing Practices (GMP), and regular microbiological monitoring are necessary to ensure the safety of sweet soy sauce products.
LITERATURE REVIEW: OFF LABEL USE ON , METFORMIN AS TREATMENT FOR POLYCYSTIC OVARY SYNDROME (PCOS) Shabina Putri Alliya; Anggi Isnaini; Vian Saltiel Harefa; Dafni Aisyah Fariby; Najwa Adella Feriska; Falesya Jovanka Athallah; Anisa Puja Ningrum; Daniah Atikah; Primayanti Nurul Ilmi
Journal of Research in Pharmacy and Pharmaceutical Sciences Vol 4 No 1 (2025): Vol.4 No.1 JUNE (2025)
Publisher : Pharmacy Program, Faculty of Medicine, UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33533/jrpps.v4i1.11286

Abstract

Polycystic Ovary Syndrome (PCOS) is a complex endocrine disorder affecting reproductive-aged women and is often accompanied by insulin resistance and hyperandrogenism. Metformin, a first-line antidiabetic agent, has been widely used in the treatment of PCOS due to its ability to improve insulin sensitivity, regulate menstrual cycles, reduce androgen levels, and promote ovulation. This literature review aims to critically evaluate and synthesize previous research findings on metformin and the influence of genetic and metabolic factors on individual responses in PCOS patients. Nine clinical studies published in the last five years were analyzed. The findings indicate that metformin consistently improves hormonal and metabolic parameters, particularly in overweight or insulin-resistant patients. Combination therapies, such as metformin with pioglitazone, liraglutide, or exenatide, were shown to be more effective than monotherapy in managing metabolic dysfunction and reproductive abnormalities. However, gastrointestinal side effects and interindividual variability in therapeutic response remain significant challenges. These results suggest that personalized treatment strategies based on patient phenotype and tolerance may optimize outcomes. Further research is needed to establish predictive markers and refine therapeutic regimens for long-term PCOS management.
Co-Authors Alisha Dian Prasasti Amara Ayu Karlina Anggi Isnaini Ariska Deffy Anggarany Aurelie Reginia Iteh Bimo Asrul Seno Dafni Aisyah Fariby Daniah Atikah Falesya Jovanka Athallah Nabilah Siti Zahara Najwa Adella Feriska Primayanti Nurul Ilmi Shabina Putri Alliya Vian Saltiel Harefa