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Jurnal Teknoinfo
Published by Universitas Teknokrat Indonesia
ISSN : 16930010     EISSN : 2615224X     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Teknoinfo is a peer-reviewed scientific Open Access journal that published by Universitas Teknokrat Indonesia. This Journal is built with the aim to expand and create innovation concepts, theories, paradigms, perspectives and methodologies in the sciences of Informatics Engineering. The articles published in this journal can be the result of conceptual thinking, ideas, innovation, creativity, best practices, book review and research results that have been done. Jurnal Teknoinfo publishes scientific articles twice a year in January and July.
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Articles 31 Documents
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Search results for , issue "Vol 16, No 2 (2022): Juli" : 31 Documents clear
HOTSPOT PREDICTIVE MODELING USING REGRESSION DECISION TREE ALGORITHM Dewi Asiah Shofiana; Yohana Tri Utami; Yunda Heningtyas
Jurnal Teknoinfo Vol 16, No 2 (2022): Juli
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v16i2.2051

Abstract

Forest fires had always become an international issue influencing many life sectors, including environmental, social, and economic. The forest fire in 2013 was regarded as one of the worst forest fire tragedies in history, not only in Indonesia but also in the world. Detection of hotspots on the earth's surface by the satellite can be an indication of land and forest fire occurrence. This research aims to build a predictive model of monthly hotspots in Rokan Hilir Regency using the regression tree algorithm. Several variables related to weather information are included, such as rainfall, sea surface temperature, and southern oscillation index. This research used 245 training data and 43 testing data, resulting a predictive model with a correlation of 0.875 and an error rate of 0.166. Based on the values, we can conclude that the performance of the model is considerably good.

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