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All Journal Saintara : Jurnal Ilmiah Ilmu-Ilmu Maritim Journal of Education Research
Nugraha, Markus Asta Patma
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Conceptual Analysis of Problem-Based Learning Model in Improving Students Critical Thinking Skill Nugraha, Markus Asta Patma; Sinolungan, Jehosua S.V.; Nur, Rezeki; Nuridah, Siti; Nofirman, Nofirman; Cahyono, Didik
Journal of Education Research Vol. 4 No. 2 (2023)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v4i2.185

Abstract

The purpose of this research was to conceptually analyze the problem-based learning model in improving students' critical thinking skill. The research method used in this research was descriptive qualitative. The type of research was library research. Data collection techniques by collecting and analyzing documents descriptively, both written, image and electronic documents. The research results obtained were then presented descriptively in accordance with the research problems and objectives. The results of this research showed that the conceptual analysis of the problem-based learning model in improving students' critical thinking skill, namely Problem-based learning is a learning model that uses problems as a starting point for learning. In other words, problem-based learning is a problem-centered learning activity, Problem-based learning is a learning model that involves students to solve a problem through the stages of the scientific method so that students can learn knowledge related to the problem and at the same time have the skills to solve problems,  a learning model that uses real-world problems. This learning model aims to encourage students to learn through various real problems in everyday life that are related to the knowledge they have or will learn;, Problem-based learning model is a learning model that involves dominant student activities, the teacher acts as a facilitator.
Analisis Arus Bongkar Muat Petikemas Impor dan Ekspor di Terminal Petikemas Semarang pada Masa Pandemi Covid-19 Nugraha, Markus Asta Patma; Moefti, Chakra; Arifian, Naf'an
Saintara : Jurnal Ilmiah Ilmu-Ilmu Maritim Vol 8 No 1 (2024): SAINTARA (Maret 2024)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Akademi Maritim Nusantara Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52475/saintara.v8i1.267

Abstract

The spread of Covid-19 has led to the implementation of Large-Scale Social Restrictions (PSBB), social and physical distancing, to lockdowns to break the chain of spread of Covid-19, so this will definitely have an impact on the flow of loading and unloading of containers at Tanjung Emas Port, Semarang. This study aims to determine the flow of loading/unloading data and the influence of Covid-19 on the flow of loading/unloading containers at TPKS Semarang. This research is a type of correlation statistical analysis with a quantitative approach. The place and time of the research is at the Semarang Container Terminal in November 2022. The research instrument here is in the form of documentation. There are 3 data analysis techniques, namely descriptive statistical analysis, normality test, linearity test and Pearson product moment correlation test. The data analysis carried out showed that the results of the research from the descriptive statistical analysis test using the SPSS 26 application found that the average was 16,000 - 17,000 boxes/year. The normality test of all import and export data is normally distributed. The linearity test for all data gets linear results. Correlation statistical test with Pearson product moment showed that Covid-19 has no relationship with the flow of loading/unloading of imported and exported containers except for the flow of unloading/loading of imported containers in 2022.
Co-Authors Arifian, Naf'an cahyono, didik Jehosua S.V. Sinolungan Moefti, Chakra Nofirman, Nofirman Nur, Rezeki Nuridah, Siti