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Abstract

Data presentation is a crucial first step in statistical analysis, aiming to facilitate the understanding of the information contained within the data. This article discusses various methods of data presentation and introduces measures of central tendency used to describe the central value in data distribution. The measures of central tendency covered in this article include mean, median, and mode. Additionally, this article also discusses the concept of location in statistics, which relates to the position or distribution of data within a particular group. With a deep understanding of data presentation, measures of central tendency, and location, statistical analysis can be conducted more accurately, providing a clearer picture of the data being analyzed. The presentation of measures of central tendency and location is an important aspect of statistical analysis used to describe the distribution and position of data within a dataset. Measures of central tendency, such as the mean, median, and mode, offer insights into the central value or the most frequently occurring value in the data. Meanwhile, measures of location, such as quartiles, percentiles, and interquartile range, help to understand the spread of data and the position of specific values within the overall data context. This study aims to explain how to present and apply these measures in various types of data and how they can be used to make more informed and accurate decisions in statistical analysis. By understanding the presentation of central tendency and location measures, it is expected that a deeper understanding of the patterns and characteristics of the analyzed data can be achieved. Furthermore, this study will also address the limitations and challenges in using these measures and how to choose the appropriate measure based on the characteristics of the data at hand.

Keywords

Data Analysis Ukuran Tendensi Sentral Letak

How to Cite

Citation Format
Nurhaswinda, N., Fitriyah , J. A., & Khairunnisa3, S. (2025). Penyajian Data, Ukuran Tendensi Sentral dan Letak. LANCAH: Jurnal Inovasi Dan Tren, 3(1), 47~58. https://doi.org/10.35870/ljit.v3i1.3676

References

15 References
  • Devita, D., & Marhayati, L. (2024). Pengembangan Buku Ajar Probability Dan Statistika Pada Tahap Preliminary Research. Jurnal Ilmiah Pendidikan Scholastic, 8(1), 33–37.
  • Hasibuan, L. R., Edi, S., Rahmatina, S., Mawardati, R., Hasan, H. A., Laka, L., Fahradina, N., Hanum, A., Furda, Y. P. E., & Mahdiannur, M. A. (2024). Statistika Pendidikan: Jalan Sukses Mengolah & Menganalisis Data. Elfarazy Media Publisher.
  • Kadir, W. L. S. (2023). Jurnal Ekonomi Dan Statistik Indonesia. Jurnal Ekonomi Dan Statistik Indonesia, 3(1), 53–69.
  • Martias, L. D. (2021). Statistika Deskriptif Sebagai Kumpulan Informasi. Fihris: Jurnal Ilmu Perpustakaan Dan Informasi, 16(1), 40–59.
  • Nasution, L. M. (2019). Dasar Statistika. Al-Fikru: Jurnal Ilmiah, 13(2), 141–145.
  • Nurhaswinda. (2023). Statistik Pendidikan (Teori Dan Praktik Dalam Pendidikan). Bogor: Guepedia.
  • Pandriadi, P., Van Harling, V. N., Wahab, A., Vaulina, S., Sutjiningtyas, S., Ningsih, E. K., Setyono, B. D. H., Rizqi, V., Harisuddin, M. I., & Gaffar, S. (2023). Statistika Dasar. Bogor: Penerbit Widina.
  • Sarihastuti, D. (2024). Optimalisasi Penyelenggaraan Statistik Sektoral Sebagai Upaya Pemenuhan Data Statistik Berkualitas Di Indonesia. Jurnal Syntax Admiration, 5(10), 4343–4363.
  • Setyawan, I. D. A., Ade Devriany, S. K. M., & Huda, N. (2021). Buku Ajar Statistika. Bengkulu: Penerbit Adab.
  • Siregar, I. A. (2021). Analisis Dan Interpretasi Data Kuantitatif. Alacrity: Journal Of Education, 39–48.
  • Sulisti, H., Naufal, N., Shaliza, F., Rahmawati, R., Safitri, Y., Zulkarnain, R., & Septianawati, D. (2024). Buku Ajar Statistika Dasar. Jambi: Pt. Sonpedia Publishing Indonesia.
  • Sulistiyowati, W., & Astuti, C. C. (2017). Buku Ajar Statistika Dasar. In Sidoarjo: Umsida Press.
  • Susanti, E., Nurjanna Ladjin, S. E., Qadrini, L., & Stat, M. (2021). Buku Ajar Statistika Untuk Perguruan Tinggi. Bengkulu: Penerbit Adab.
  • Susdarwono, E. T. (2022). Jurnal Ekonomi Dan Statistik Indonesia. Jurnal Ekonomi Dan Statistik Indonesia, 2(2), 134–141.
  • Wijaya, E., Indriyati, R., Rinawati, R., Utami, R. N., Negsih, T. A., Suharyanto, S., Hermawan, E., Deseria, R., Aziza, N., & Judijanto, L. (2024). Pengantar Statistika: Konsep Dasar Untuk Analisis Data. Manado: Pt. Sonpedia Publishing Indonesia.

Author Biographies

Nurhaswinda Nurhaswinda, Universitas Pahlawan Tuanku Tambusai

Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai, Kampar, Riau, Indonesia

Jihan Arika Fitriyah , Universitas Pahlawan Tuanku Tambusai

Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai, Kampar, Riau, Indonesia

Siti Khairunnisa3, Universitas Pahlawan Tuanku Tambusai

Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai, Kampar, Riau, Indonesia

License

Copyright (c) 2025 Nurhaswinda Nurhaswinda, Jihan Arika Fitriyah , Siti Khairunnisa3

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This is an open-access journal distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, reproduction, and adaptation in any medium (even commercially), provided appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. Authors retain copyright without restrictions and grant the journal the right of first publication as well as non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

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