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Peningkatan literasi numerasi melalui model pembelajaran dan hubungannya dengan kemampuan self-efficacy: Systematic literatur review Moh Slamet Sutrimo; Sajdah, Siti Nurul; Sinambela, Yohana Veronica Feibe; Bagas, Rooskartiko
JPMI (Jurnal Pembelajaran Matematika Inovatif) Vol. 7 No. 1 (2024): Januari
Publisher : IKIP Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/jpmi.v7i1.21650

Abstract

This study aims to describe the improvement of numeracy literacy through learning models and its correlation with self-efficacy capabilities.. The research method employed is a Systematic Literature Review (SLR) comprising three stages: planning, conducting, and reporting. Data collection involved identifying relevant articles based on predetermined criteria. The study examined 19 articles retrieved through a Google Scholar database search, facilitated by the Publish Or Perish software. Data synthesis was presented through tabulation and reinforced with a narrative format. The findings indicate that the improvement of numeracy literacy in elementary and secondary schools from 2020 to 2023 is predominantly pursued through the implementation of problem-based learning (PBL) models. Additionally, students' self-efficacy capabilities influence their success in learning. Furthermore, students' numeracy literacy correlates positively with self-efficacy, evidenced by higher self-efficacy correlating with higher numeracy literacy skills.
Pengelompokan Faktor-Faktor Pengaruh Online Repurchase Intention Pada Pengguna Aplikasi Webstore Pencari Kost Online Moh Slamet Sutrimo; Muhammad Iqbal; Siti Nurjanah; Haryanto
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 16 No 1 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10634933

Abstract

T his study aims to categorize online boarding search App/Webstore users based on factors that influence their online repurchase intention. The eight factors analyzed include perceived value, perceived ease of use, perceived usefulness, firm's reputation, privacy, trust, reliability, and functionality. Data obtained from 160 respondents who use the application/webstore kost finder. The analysis method used is K-Means clustering. The results show the formation of 2 clusters, namely cluster 1 of 100 respondents with high factor influence and cluster 2 of 60 respondents with low factor influence. The difference in the average score on each factor between the two clusters indicates that cluster 1 is more satisfied and trusting of the service than cluster 2. These results can be a reference for companies in improving service quality and marketing strategies.