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Literasi Nusantara
ISSN : 27463575     EISSN : 27468208     DOI : https://doi.org/10.56480/jln
Literasi Nusantara invites contributions of original and novel fundamental research. Literasi Nusantara publishes scientific study/ research papers, industrial problem solving related to education, arts, and technology as well as review papers. The journal presents paper dealing with the topic related to education, arts, and technology including: Teaching and Learning Science, Social Sciences, Mathematics, Education for Citizenship, Educational Psychology Indonesian Language, Cultural Arts and Crafts, Local Content in Primary Schools / Madrasas Ibtidaiyah, Thematic Learning in Primary Schools / Madrasah Ibtidaiyah, Character Education, Curriculum, Educational Evaluation, Pedagogic, Learning Innovation, Development Psychology, Inclusive Education, Management of Education, Guidance and Counseling, Educational Technology from various types of research such as Classroom Action Research, Research Survey, Research and Development, Descriptive Research , Experimental Research, Etc. the practice of dance and learning present theories of art models music dance drama craft or philosophical position, etc. Innovative works on Learning System Design, the development, implementation, assessment, management, research papers, and case studies of educational technology, etc Articles submitted to Juenal Literasi Nusantara must be free from Plagiarism or Autoplagiarsm.
Articles 1 Documents
Search results for , issue "Vol. 6 No. 1 (2026): February" : 1 Documents clear
Analysis of Sales Prediction Using Linear Regression as a Data Analytics Learning Media for Students Nugroho, Agus Susilo; Citrawati, Tyasmiarni; Setyawan, Agung
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.  

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