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Modified Flipped Classroom to Increase Readiness, Engagement and Understanding of Midwifery Students in Basic Science Course Lenny Oktorina; Yuni Nurchasanah; Yudi Feriandi
Contagion: Scientific Periodical Journal of Public Health and Coastal Health Vol 5, No 4 (2023): CONTAGION
Publisher : Universitas Islam Negeri Sumatera Utara, Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/contagion.v5i4.15644

Abstract

Covid-19 pandemic has prompted an opportunity to use technology to help students understand difficult topics such as basic science. The flipped classroom method has been widely used to increase the students' active roles.  This study aims to measure the impact of modified flipped classroom to the undergraduate midwifery student's readiness, engagement, and understanding. This study used an embedded experimental model with an uncontrolled one-group pre-post-test quasi-experimental design on a total sampling of 37 first-year undergraduate diploma midwifery education students. The treatments were exposure to pre-class physiology video teaching materials and the flipped classroom. Kirkpatrick levels 1 and 2 were used to measure satisfaction and learning using closed Likert scales and open-ended questionnaires. Students' pre and post-test scores were measured and analysed using paired t-tests. Open questionnaire answers were analysed using content analysis.  The statistical result showed significance difference (p <0.0001) with an increase in the average pre-post test score of 49%. The qualitative data revealed that the modified flipped classroom could increase active learning, self-reflection, learning material mastery and repetition, student readiness, lecturing effectiveness, and learning pace equity. The modified flipped classroom method was effective to increase the readiness, engagement, and understanding of the midwifery students in basic science course.  Suggestions for future researchers are to add additional variables in the study to measure the impact of modified flipped classroom, such as learning motivation, student satisfaction, and academic outcomes. This will provide a more comprehensive picture of the effects of using this method on learning outcomes and student experience. Keyword: Flipped classroom, Kirkpatrick, Midwifery, Online learning, Physiology
Laporan Kasus Epidemiologi Infeksi cVDPV2 Tahun 2023 di Jawa Barat, Indonesia: Surveilans dan Respons Wabah Utoro, Sidik; Rachmadi, Dedi; Oktorina, Lenny; Feriandi, Yudi
Jurnal Biomedika dan Kesehatan Vol 8 No 2 (2025)
Publisher : Fakultas Kedokteran Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Polio eradication remains a global health concern within the World Health Organization (WHO) framework, with Indonesia as a committed member. On February 21, 2023, an acute flaccid paralysis (AFP) case was diagnosed and reported in a 4-year-old girl from a village in Purwakarta District, West Java. The paralysis began on February 16, 2023. The child had no travel history and had never received any polio vaccination. Laboratory analysis of fecal specimens from the case and two nearby children indicated local transmission, confirming the presence of circulating vaccine-derived poliovirus type 2 (cVDPV2). This was Indonesia's first confirmed cVDPV2 outbreak. This article aims to provide a detailed description and analysis of the efforts made by relevant stakeholders in Indonesia to address this outbreak. According to WHO and national guidelines, two rounds of Sub-National Immunization Days (sub-NIDs) were carried out across all districts in West Java, the affected province. These sub-NIDs reached a total population of 3,984,797 with the novel oral poliovirus vaccine type 2 (nOPV2), achieving coverage of 96.2% in the first round and 92.3% in the second. An Outbreak Response Assessment (OBRA) was conducted in July 2023 by a team of ten international, multi-institutional assessors. The assessment concluded that, although the response was appropriate, it was too early to declare the outbreak over, as fewer than six months had passed since the last confirmed cVDPV2 detection. A follow-up review showed no new cases and no additional rounds of response immunization were recommended. This experience highlights the importance of strong surveillance, risk-based immunization planning, and community-focused communication in preventing future outbreaks. Program managers are advised to prioritize localized risk assessments, ensure even vaccine distribution, and remain prepared for rapid response.
Early Detection of the Heavy Metals Pollution Effect on Citarum River Using Zebrafish Muscle Mitochondria Biomarkers Gene Expression Oktorina, Lenny; Goenawan, Hanna; Sylviana, Nova; Kirana, Kartika Hajar; Feriandi, Yudi; Lesmana, Ronny
Global Medical & Health Communication (GMHC) Vol 13, No 1 (2025)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/gmhc.v13i1.14110

Abstract

Citarum is the longest river in West Java and one of the most polluted rivers in Indonesia and the world. Heavy metals from agriculture, industry, and household waste pollute the Citarum river. Heavy metals enter humans and animals by consuming contaminated food and beverages. Several studies have identified mitochondria as a primary target for heavy metal poisoning, resulting in impaired mitochondrial energy production, induction of oxidative stress, apoptosis, and mitophagy. This study aims to investigate the impact of heavy metals from the upstream and downstream areas of the Citarum river on mitochondrial gene expression of cox4i1, sod2, baxa, mfn1b, and ppargc1a in the skeletal muscle of zebrafish (Danio rerio) using in vivo models for biological monitoring of early detection of environmental heavy metal pollution. This experimental study was conducted from December 2019 to March 2020. The study involved four treatment groups and one control group of zebrafish, which were exposed to river water and sediments collected from two sites in the Citarum river area in December 2019. The biomarker levels were analyzed using multivariate analysis. Although all heavy metal levels except mercury were below the WHO threshold in all samples, this study's results showed that the RT-PCR results indicated that the levels of cox4i1, baxa, and ppargc1a in all samples were generally higher than those in the control. There were significant differences (p<0.05) using multivariate analysis in sod2 in Cibeureum water compared to Cibeureum sediment and ppgarc1a compared to control and Balekambang sediment. In conclusion, heavy metals from the upstream and downstream areas of the Citarum river had an impact on mitochondrial gene expression of cox4i1, sod2, baxa, mfn1b, and ppargc1a in the skeletal muscle of zebrafish. Biomarkers pparc1gc and sod2 could be further studied to identify the most valid and reliable parameters for biological monitoring, which may aid in the early detection of environmental damage to humans and animals.
Penggunaan SQL Server dalam Pengolahan Data Warehouse yang Praktis dan Berkelanjutan Kuntadi, Arif; Feriandi, Yudi
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1522

Abstract

To accommodate large amounts of data, a structured data warehouse is needed to produce more accurate information and support decision making for organizational stakeholders. To build a data warehouse, software such as Microsoft SQL Server can be used which has advantages in the aspects of data security, scalability, collaborative capabilities and extendability. Serial data on population, health personnel, economics and various continuous primary and secondary data can be uploaded into SQL Server so that it can be stored in a structured and periodic manner. Data stored in the database is processed using certain data mining algorithms to produce information, knowledge and wisdom. This data warehouse and data mining approach can be applied to various sectors, for example health. This research aims to apply a data warehouse and data mining approach to analyzing the ratio of health worker needs in West Java Province, Indonesia using a single moving average algorithm and semi-automatic classification using empirical statistics on SQL Server and SQL Server Agent as well as visualization using Microsoft Power BI. Classification based on forecasting analysis of population data and determining the health worker gap ratio was successful in finding patterns through data mining on SQL Server efficiently and easily visualized using Power BI. Thus, SQL Server can be one of the practical tools chosen for implementing sustainable data mining.