Melinda, Novia
Unknown Affiliation

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

FACTORS RELATED TO K4 ANTENATAL CARE VISITS IN THE WORKING AREA OF BERNUNG PUBLIC HEALTH CENTER IN PESAWARAN REGENCY Melinda, Novia; Primadevi, Inggit; Isnaini, Maulia; Fauziah, Nur Alfi
Jurnal Maternitas Aisyah (JAMAN AISYAH) Vol. 5 No. 3 (2024): Jurnal Maternitas Aisyah (JAMAN AISYAH)
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/jaman.v5i3.1663

Abstract

The Indonesian Ministry of Health's family health program figures show an annual rise in the number of maternal deaths. Pregnancy is one of the factors contributing to Indonesia's high rate of maternal death, specifically because high-risk pregnancies are caused when pregnant women do not use Antenatal Care (ANC), which prevents health professionals from detecting pregnancy-related issues. According to the Lampung Province's 2022 SSGI, Pesawaran Regency has the lowest prenatal care coverage (85.70% K4 coverage) out of the 15 regencies/cities. The research objective was to determine the factors associated with K4 visits in the working area of Bernung Public Health Center in Pesawaran Regency. This research design is quantitative with a cross-sectional approach. The population and sample in this study were all third-trimester pregnant women in the working area of Bernung Public Health Center, Pesawaran Regency, totaling 65 pregnant women. Data collection used primary and secondary data with questionnaire instruments and MCH books. Bivariate analysis in this study used the eta correlation test.The research result showed that there was a correlation between education and K4 antenatal care visits (p-value 0.793) and there was no correlation between job (p-value 0.104), distance (p-value 0.621), and knowledge (p-value 0.444) with K4 antenatal care visits. In order for moms to know the status of their pregnancy and identify any high risk of pregnancy early on, it is advised that expectant mothers always take care of their pregnancy by routinely using antenatal care services
Improving Students' Computational Skills through the Implementation of Problem-Solving Laboratory Learning Models Nasruddin, Dindin; Melinda, Novia; Rochman, Chaerul
Jurnal Pendidikan Fisika Vol 12, No 3 (2024): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v12i3.10946

Abstract

In the digital era, computational thinking skills are essential for students to succeed in science education, including physics. However, traditional teaching methods often fail to cultivate these skills effectively. This study aimed to evaluate the effectiveness of the problem-solving laboratory learning model in enhancing students' computational thinking skills, specifically in alternating current electricity topics. The research employed a pre-experimental design with a one-group pre-test and post-test approach, involving 35 twelfth-grade students from a public high school in Banjar City, West Java, Indonesia. Data were collected using observation sheets to assess problem-solving laboratory implementation and computational thinking skill tests. The problem-solving laboratory model was implemented effectively, achieving an average implementation success rate of 78.4%. The analysis revealed a significant improvement in students' computational thinking skills, with an average N-gain score of 0.73, categorized as high. Among the computational thinking indicators, abstraction showed the highest improvement, followed by decomposition, data analysis, pattern recognition, and algorithmic thinking. These results suggest that the problem-solving laboratory model provides an effective framework for fostering computational thinking skills through hands-on problem-solving activities and structured learning processes. The study recommends integrating the problem-solving laboratory model into other physics topics and broader educational contexts to enhance students' 21st-century competencies. Future research should consider incorporating control groups and extending the scope to explore long-term impacts across diverse learning environments.
Improving Students' Computational Skills through the Implementation of Problem-Solving Laboratory Learning Models Nasruddin, Dindin; Melinda, Novia; Rochman, Chaerul
Jurnal Pendidikan Fisika Vol. 12 No. 3 (2024): PENDIDIKAN FISIKA
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jpf.v12i3.10946

Abstract

In the digital era, computational thinking skills are essential for students to succeed in science education, including physics. However, traditional teaching methods often fail to cultivate these skills effectively. This study aimed to evaluate the effectiveness of the problem-solving laboratory learning model in enhancing students' computational thinking skills, specifically in alternating current electricity topics. The research employed a pre-experimental design with a one-group pre-test and post-test approach, involving 35 twelfth-grade students from a public high school in Banjar City, West Java, Indonesia. Data were collected using observation sheets to assess problem-solving laboratory implementation and computational thinking skill tests. The problem-solving laboratory model was implemented effectively, achieving an average implementation success rate of 78.4%. The analysis revealed a significant improvement in students' computational thinking skills, with an average N-gain score of 0.73, categorized as high. Among the computational thinking indicators, abstraction showed the highest improvement, followed by decomposition, data analysis, pattern recognition, and algorithmic thinking. These results suggest that the problem-solving laboratory model provides an effective framework for fostering computational thinking skills through hands-on problem-solving activities and structured learning processes. The study recommends integrating the problem-solving laboratory model into other physics topics and broader educational contexts to enhance students' 21st-century competencies. Future research should consider incorporating control groups and extending the scope to explore long-term impacts across diverse learning environments.