STUDI KASUSINVESTIGASI MODEL BINARY LOGISTIC REGRESSION DAN RANTAI MARKOV UNTUK PREDIKSI PERUBAHAN TUTUPAN LAHAN DI BANDUNG

  • Adymas Putro Utomo Universitas Kaltara Tanjung Selor Bulungan
  • Enny Harviyanti Universitas Kaltara Tanjung Selor Bulungan

Abstract

 Land cover change is one of the main issues that occur worldwide. In particular the state of Indonesia which has  a population  high enough will certainly affect land cover change. More broadly land cover change will affect the global climate change. It is  necessary for an effort to know the state of land cover in the future as an input in policy making.  Modeling developments in the field of geographic information systems and remote sensing can help in predicting changes  in land cover that occur in a region. One land cover modeling methods that can be used to predict changes in land cover is a binary logistic regression (BLR) and Markov chain (RM). Both of these models can be used to predict l and c over  change for  changes in the future. Studies using this model is done in Bandung area as case study areas. In this study the incorporation of BLR and RM models. The results from the merger of this model shows the level of accuracy of 70.1% and has a value of 0,548 KIA (moderate).

Published
2016-12-13
How to Cite
UTOMO, Adymas Putro; HARVIYANTI, Enny. STUDI KASUSINVESTIGASI MODEL BINARY LOGISTIC REGRESSION DAN RANTAI MARKOV UNTUK PREDIKSI PERUBAHAN TUTUPAN LAHAN DI BANDUNG. Buletin Poltanesa, [S.l.], v. 18, n. 01, p. 24-32, dec. 2016. ISSN 2614-8374. Available at: <http://e-journal.politanisamarinda.ac.id/index.php/bpoltanesa/article/view/13>. Date accessed: 12 dec. 2018.
Section
Articles