Optimalisasi model prediksi kesesuaian lahan kelapa sawit menggunakan algoritme pohon keputusan spasial

A Nurkholis, IS Sitanggang - Jurnal Teknologi Dan Sistem …, 2020 - jtsiskom.undip.ac.id
Land suitability evaluation has a vital role in land use planning aimed to increase food
production effectiveness. Palm oil is a leading and strategic commodity for Indonesian …

A spatial analysis of soybean land suitability using spatial decision tree algorithm

A Nurkholis, IS Sitanggang - Sixth International Symposium on …, 2019 - spiedigitallibrary.org
Soybean is one of the national strategic commodities because of its role as an income and
nutrition source for Indonesian people. Until now, the performance of soybean agribusiness …

Spatial decision tree model for garlic land suitability evaluation

A Nurkholis, SS Imas, A Annisa… - … International Journal of …, 2021 - search.proquest.com
Predicting land and weather characteristics as indicators of land suitability is very important
in increasing effectiveness in food production. This study aims to evaluate the suitability of …

Web-based classification application for forest fire data using the shiny framework and the C5. 0 algorithm

GP Siknun, IS Sitanggang - Procedia Environmental Sciences, 2016 - Elsevier
Forest fires are threats for our ecosystems and environment because their impact is very
harmful. Every year, the number of hotspots increases, indicating the increase of forest fires …

Hotspot pattern distribution in peat land area in Sumatera based on spatio temporal clustering

AP Kirana, IS Sitanggang, L Syaufina - Procedia Environmental Sciences, 2016 - Elsevier
This research applied statistical approach to recognize the distribution pattern of hotspot
clusters in spatial and temporal dimension using Kulldorff's Scan Statistic (KSS) method. We …

Weather forecasting using merged long short-term memory model

AG Salman, Y Heryadi, E Abdurahman… - Bulletin of Electrical …, 2018 - beei.org
Over decades, weather forecasting has attracted researchers from worldwide communities
due to itssignificant effect to global human life ranging from agriculture, air trafic control to …

AI Augmentation to Remote Sensing Imagery in Forestry Conservation & Restoration for Increased Responsive Capabilities

DM Gandikota, T Gladkova, KA Tran… - 2022 IEEE Applied …, 2022 - ieeexplore.ieee.org
Responsive forestry management is critical to carbon management and climate change
mitigation. The United Nation's Intergovernmental Panel on Climate Change (IPCC) Special …

Enhanced scan statistic with tightened window for detecting irregularly shaped hotspots

X Yan, Z Fu, T Pei, C Song, Z Fang, X Liu… - International Journal …, 2024 - Taylor & Francis
In spatial point data, a hotspot is defined as a group of points with a significantly higher
density within an arbitrarily shaped area. Among existing hotspot identification methods …

Hotspot Classification for Forest Fire Prediction using C5. 0 Algorithm

A Nurkholis, D Alita, A Sucipto… - 2021 International …, 2021 - ieeexplore.ieee.org
Forest and land fires impact the destruction of ecosystems and destroy flora and fauna.
Forest fires haze can also disrupt the transportation sector, especially aviation …

Web-based application for outliers detection on hotspot data using k-means algorithm and shiny framework

AMYA Suci, IS Sitanggang - IOP Conference Series: Earth and …, 2016 - iopscience.iop.org
Outliers analysis on hotspot data as an indicator of fire occurences in Riau Province
between 2001 and 2012 have been done, but it was less helpful in fire prevention efforts …