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All Journal Cetta: Jurnal Ilmu Pendidikan CENDEKIA: Jurnal Ilmiah Pendidikan
Alifia Najma Sholikha
Universitas Negeri Jakarta
Education

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Pemanfaatan Big Data dalam Pembelajaran Jarak Jauh (PJJ) selama Pandemi pada Daerah 3T (Terdepan, Terpencil dan Tertinggal) Irika Widiasanti; Syahnadhea Zahra; Alifia Najma Sholikha; Ambar Waluny; Madhuma Acharee Nazhelya Najva
Cetta: Jurnal Ilmu Pendidikan Vol 6 No 2 (2023)
Publisher : Jayapangus Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37329/cetta.v6i2.2391

Abstract

The COVID-19 pandemic has prompted the adoption of distance education worldwide, including in 3T regions facing challenges of limited infrastructure and accessibility. The utilization of Big Data holds great potential in enhancing the quality and accessibility of education in these 3T regions. This study aims to analyze the utilization of Big Data in distance education during the pandemic in 3T regions, identify its benefits in personalized learning, monitoring the learning process, and predicting student needs, and provide recommendations for further research. The research approach employed data analysis from a survey involving 500 schools in 3T regions. Data was collected through questionnaires that encompassed the aspects of Big Data usage in distance education and its impact on educational quality in 3T regions. Data analysis reveals that the utilization of Big Data in distance education in 3T regions has significantly contributed to student data collection and analysis, monitoring the learning process, and predicting student needs. These findings are consistent with previous research that highlights the benefits of Big Data in personalized learning and educational performance management. The utilization of Big Data in distance education in 3T regions during the pandemic holds immense potential in improving the quality and accessibility of education. Adequate training and education should be provided to teachers and school staff regarding the utilization of Big Data.
ANALISIS KENDALA PEMBELAJARAN MATEMATIKA SISWA KELAS VI SDN KEDAUNG KALIANGKE 09 PETANG Alifia Najma Sholikha
CENDEKIA: JURNAL ILMIAH PENDIDIKAN Vol 12 No 2 (2024): CENDEKIA: Jurnal Ilmiah Pendidikan
Publisher : STKIP Paris Barantai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33659/cip.v12i2.347

Abstract

This research investigates the learning difficulties faced by sixth-grade students at SDN Kedaung Kaliangke 09 Petang in terms of mathematics. This difficulty arises because students perceive mathematics as a difficult subject. The purpose of this research is to identify the learning difficulties and factors influencing these difficulties among sixth-grade students. This research employs a qualitative descriptive method with 17 sixth-grade students at SDN Kedaung Kaliangke 09 Petang and their teachers as subjects. Data collection techniques include observation, interviews, and documentation studies. The data is analyzed using the Miles and Huberman data analysis model. The analysis results show that students experience difficulties in several aspects, including reading and understanding the meaning of questions, understanding concepts, using formulas, and process skills. Factors influencing these difficulties include internal factors such as student attitudes, intelligence, motivation, and interest, as well as external factors such as the teacher's teaching methods, learning media, school facilities and class hours, learning history, and family conditions.
Co-Authors Ambar Waluny Irika Widiasanti Madhuma Acharee Nazhelya Najva Syahnadhea Zahra