https://eksakta.ppj.unp.ac.id/index.php/eksakta EKSAKTA: Berkala Ilmiah Bidang MIPA, FMIPA UNP, Universitas Negeri Padang en-US <p>This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License <a href="https://creativecommons.org/licenses/by/4.0/">(http://creativecommons.org/licenses/by/4.0/)</a> which permits unrestricted non-commercial use, distribution and reproduction in any medium </p> rahadianzmsiphd@fmipa.unp.ac.id (Prof. Dr Rahadian Zainul, S.Pd. M.Si. (SCOPUS Author ID: 56737195700)) aryaghifary07@gmail.com (Muhammad Arya Ghiffari) Mon, 30 Dec 2024 00:00:00 +0000 OJS 3.2.1.1 http://blogs.law.harvard.edu/tech/rss 60 https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/552 <p>The increasing number of SARS-CoV-2 mutations has led to the emergence of new sub-lineages. These mutations can impact the accuracy of PCR tests, the gold standard for COVID-19 diagnosis. To assess the sensitivity of 8 primer sets published by WHO and US CDC, we analyzed Omicron sub-lineages (JN.1, BA.2.75, XBB, XBB.1.9, and XBB.1.9.2) from Indonesia using the SCREENED, an online bioinformatic tool. Our findings revealed that two primer sets (China CDC and Thailand) had a high potential for false negative results. Notably, the Charite RdRp primer set exhibited 100% sensitivity for the JN.1 sub-lineage but low sensitivity for other sub-lineages. The US CDC N gene primer set also showed reduced sensitivity (below 99%) for XBB.1.9.1 compared to other sub-lineages analyzed. This result shows the importance of ongoing monitoring and potential updates to molecular tests to ensure accurate detection of emerging SARS-CoV-2 variants.</p> Kartika Dewi Puspa, Hartanti Dian Ikawati, Fajar Nur Sulistyahadi, Andi Yasmon, Linda Erlina Copyright (c) https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/552 https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/550 <p>In the design process of offshore platforms in Indonesia, random variables of load and material strength must be taken into account. To cover this uncertainty, the industry standard in Indonesia is to use the American Petroleum Institute Recommended Practice 2A-LRFD (API RP2A-LRFD) load factor. To further assess the reliability of the structure, a structural design analysis was carried out according to the provisions of API RP2A-LRFD, and the Monte Carlo method was used to determine the reliability index of the structure. This would help to determine whether the structural design is conservative or not according to the LRFD load factor. Additionally, four important members of the structure were selected to assess the reliability of the structure against the random variables of load and material strength. With the reliability index, it will be possible to have an overview of the structural design and ensure that the structure is safe and secure against environmental conditions in Indonesia.</p> Siti Kaban, Sandy Herho, Ricky Tawekal, Dasapta Irawan Copyright (c) https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/550