Main Article Content

Abstract

Abstract. The number of schools in Indonesia continues to grow. This must also be balanced with improving the quality of education in accordance with the objectives of the 4 SDGs, which as a whole are to improve the quality of education that is inclusive, equitable and provides lifelong learning opportunities. However, until now it is very difficult to determine differences in the quality of education in an area. From the problem of education quality and education equity, it is necessary to have a regional analysis of the quality of education. This analysis can be performed using various geospatial interpolation methods. Geospatial Interpolation is a technique to find the value of a missing variable in a known data range in an area. The data used for the Geospatial interpolation process in this study are School Quality data taken through research questionnaires, as well as school accreditation data at the junior high school level. The geospatial interpolation method used in this study is the Inverse Distance Weighted, Spline, Kriging and Natural Neighbor methods. The use of different interpolation methods can indicate the best method for this research case study. Measurement validation results from each geospatial interpolation method using RMSE. From the results of this accuracy validation, the most accurate method will be obtained in determining the quality of education contained in an area.

Article Details

How to Cite
Yohan Kartiko, E., Ramdani, F., & Abdurrachman Bachtiar, F. (2022). Comparing and Analysis of Geospatial Interpolation Prediction Algorithm: Case Study The Quality of Education of Malang and Batu City, Indonesia. Journal of Information Technology and Computer Science, 7(1), 38–46. https://doi.org/10.25126/jitecs.202271373

References

  1. Badan Pusat Statistik (2020) Center for Data and Information Technology, Students, Number of Schools, Dropouts, By And, Gender, Level. Available at: http://statistik.data.kemdikbud.go.id/index.php/page/smp (Accessed: 22 April 2021).
  2. Agustina, R. et al. (2020) Statistik Pendidikan 2020, معرفت ادیان. Tersedia pada: https://www.bps.go.id/publication/2020/11/27/347c85541c34e7dae54395a3/statistik-pendidikan-2020.html.
  3. Johnston, R. B. (2016) “Arsenic and the 2030 Agenda for sustainable development,” Arsenic Research and Global Sustainability - Proceedings of the 6th International Congress on Arsenic in the Environment, AS 2016, hal. 12–14. doi: 10.1201/b20466-7.
  4. N. Graetz et al., “Mapping local variation in educational attainment across Africa,” Nature, vol. 555, no. 7694, hal. 48–53, 2018, doi: 10.1038/nature25761.
  5. C. Smith, N. Parr, dan S. Muhidin, “Mapping schools’ NAPLAN results: a spatial inequality of school outcomes in Australia,” Geogr. Res., vol. 57, no. 2, hal. 133–150, 2019, doi: 10.1111/1745-5871.12317.
  6. S. Agrawal dan R. D. Gupta, “School mapping and geospatial analysis of the schools in jasra development block of India,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. - ISPRS Arch., vol. 41, no. June, hal. 145–150, 2016, doi: 10.5194/isprsarchives-XLI-B2-145-2016.
  7. B. Tran dan N. Thuy, “Assessment of the influence of interpolation techniques on the accuracy of digital elevation model,” VNU J. Sci. Earth Sci., vol. 24, Jan 2008.
  8. Suharsimi Arikunto, Prosedur Penelitian Suatu Pendekatan Praktik, (Jakarta: Rineka Cipta, 2006), hal. 115