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Meningkatkan Hasil Belajar Kognitif Siswa Kelas 5 Menggunakan Metode Tanya Jawab di SDN Kamal 02 Rita Yuliyanti; Husnul Meliyani Zindi Aulia; Rosita Ovi Adelia; Tyasmiarni Citrawati
Insan Cendekia : Jurnal Pendidikan dan Kebudayaan Vol. 3 No. 1 (2026): Maret
Publisher : Yayasan Citra Dharma Cindekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56480/insancendekia.v3i1.40

Abstract

This study aims to improve the cognitive learning outcomes of fifth-grade students in IPAS subjects through the implementation of the question and answer method. The background of this study is the low cognitive learning outcomes of students caused by their lack of participation in the learning process. This research employed a Classroom Action Research (CAR) approach conducted in two cycles, each consisting of planning, implementation, observation, and reflection stages. The subjects of this study were fifth-grade elementary school students. Data collection techniques included learning outcome tests, observations, and documentation. The results showed that the implementation of the question and answer method was able to improve students' cognitive learning outcomes. This is indicated by the increase in the average scores and the percentage of students' learning completeness from the pre-cycle to cycle I and cycle II. In addition, students' participation in the learning process also increased. Therefore, it can be concluded that the question and answer method is effective in improving students' cognitive learning outcomes in IPAS subjects for fifth-grade students.
Analysis of Sales Prediction Using Linear Regression as a Data Analytics Learning Media for Students Agus Susilo Nugroho; Tyasmiarni Citrawati; Agung Setyawan
Literasi Nusantara Vol. 6 No. 1 (2026): February
Publisher : Yayasan Citra Dharma Cindekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56480/jln.v6i1.34

Abstract

This research aims to analyze the application of the linear regression method in sales prediction and evaluate its use as a data analytics learning media for students. The method used is a quantitative descriptive approach with two main stages: sales data analysis using linear regression and collecting student perception data through Likert scale-based questionnaires. The dataset used consists of simple sales data that is easy for students to process and understand. The analysis results show that the linear regression method can be used to predict sales effectively and provides a clear overview of the relationships between variables. Furthermore, the questionnaire results indicate that students responded positively to the use of real datasets in learning, particularly in improving material comprehension, engagement in the learning process, and ease of data analysis. Thus, the use of linear regression with real datasets can serve as an effective alternative learning media to enhance student data literacy. This research is expected to be a reference for developing data-based learning methods in the field of data analytics.