Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367293002> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4367293002 endingPage "198" @default.
- W4367293002 startingPage "188" @default.
- W4367293002 abstract "Indonesia is a disaster-prone country and 76% is a hydrometeorological disaster (floods, landslides, tropical cyclones and droughts). Floods that occurred in Jakarta had a negative impact on the community so that it would have an impact on economic losses that made it difficult for communities around areas that were frequently affected by floods to develop more advanced and productively. Therefore, the inhibition of increasing welfare caused by floods that are not immediately handled can increase the number of people's poverty because they always have to spend both on house repairs, health and other things caused by floods. In addition, public facilities and various kinds of infrastructure were damaged. The environment is also negatively affected when floods occur. Clean water is difficult to obtain so it causes many diseases. Floods also cause animals to be killed, thereby disrupting the natural balance of the ecosystem. The existence of flood prediction research will reduce the risk and damage caused by flood disasters and can provide advice and considerations in policy making. Flood early warning system is one of the solutions offered in dealing with flood disasters. Providing actual and real time information, this early warning system is expected to reduce economic losses to fatalities. In an effort to create a resilient city, ESCAP (2008) puts an early warning system in place as an effort to prepare before a disaster occurs and to mitigate floods." @default.
- W4367293002 created "2023-04-29" @default.
- W4367293002 creator A5031492079 @default.
- W4367293002 creator A5036348193 @default.
- W4367293002 creator A5042372936 @default.
- W4367293002 date "2022-10-31" @default.
- W4367293002 modified "2023-10-14" @default.
- W4367293002 title "SISTEM PERINGATAN DINI BANJIR BERBASIS MACHINE LEARNING: STUDI LITERATUR" @default.
- W4367293002 doi "https://doi.org/10.46880/jmika.vol6no2.pp188-198" @default.
- W4367293002 hasPublicationYear "2022" @default.
- W4367293002 type Work @default.
- W4367293002 citedByCount "0" @default.
- W4367293002 crossrefType "journal-article" @default.
- W4367293002 hasAuthorship W4367293002A5031492079 @default.
- W4367293002 hasAuthorship W4367293002A5036348193 @default.
- W4367293002 hasAuthorship W4367293002A5042372936 @default.
- W4367293002 hasConcept C100725284 @default.
- W4367293002 hasConcept C107054158 @default.
- W4367293002 hasConcept C107826830 @default.
- W4367293002 hasConcept C127413603 @default.
- W4367293002 hasConcept C144133560 @default.
- W4367293002 hasConcept C153294291 @default.
- W4367293002 hasConcept C166566181 @default.
- W4367293002 hasConcept C166957645 @default.
- W4367293002 hasConcept C17744445 @default.
- W4367293002 hasConcept C186295008 @default.
- W4367293002 hasConcept C187320778 @default.
- W4367293002 hasConcept C189326681 @default.
- W4367293002 hasConcept C199539241 @default.
- W4367293002 hasConcept C205649164 @default.
- W4367293002 hasConcept C2778924419 @default.
- W4367293002 hasConcept C29825287 @default.
- W4367293002 hasConcept C39432304 @default.
- W4367293002 hasConcept C41008148 @default.
- W4367293002 hasConcept C524765639 @default.
- W4367293002 hasConcept C74256435 @default.
- W4367293002 hasConcept C76155785 @default.
- W4367293002 hasConcept C91375879 @default.
- W4367293002 hasConceptScore W4367293002C100725284 @default.
- W4367293002 hasConceptScore W4367293002C107054158 @default.
- W4367293002 hasConceptScore W4367293002C107826830 @default.
- W4367293002 hasConceptScore W4367293002C127413603 @default.
- W4367293002 hasConceptScore W4367293002C144133560 @default.
- W4367293002 hasConceptScore W4367293002C153294291 @default.
- W4367293002 hasConceptScore W4367293002C166566181 @default.
- W4367293002 hasConceptScore W4367293002C166957645 @default.
- W4367293002 hasConceptScore W4367293002C17744445 @default.
- W4367293002 hasConceptScore W4367293002C186295008 @default.
- W4367293002 hasConceptScore W4367293002C187320778 @default.
- W4367293002 hasConceptScore W4367293002C189326681 @default.
- W4367293002 hasConceptScore W4367293002C199539241 @default.
- W4367293002 hasConceptScore W4367293002C205649164 @default.
- W4367293002 hasConceptScore W4367293002C2778924419 @default.
- W4367293002 hasConceptScore W4367293002C29825287 @default.
- W4367293002 hasConceptScore W4367293002C39432304 @default.
- W4367293002 hasConceptScore W4367293002C41008148 @default.
- W4367293002 hasConceptScore W4367293002C524765639 @default.
- W4367293002 hasConceptScore W4367293002C74256435 @default.
- W4367293002 hasConceptScore W4367293002C76155785 @default.
- W4367293002 hasConceptScore W4367293002C91375879 @default.
- W4367293002 hasIssue "6" @default.
- W4367293002 hasLocation W43672930021 @default.
- W4367293002 hasOpenAccess W4367293002 @default.
- W4367293002 hasPrimaryLocation W43672930021 @default.
- W4367293002 hasRelatedWork W2181782470 @default.
- W4367293002 hasRelatedWork W2339307121 @default.
- W4367293002 hasRelatedWork W2922618765 @default.
- W4367293002 hasRelatedWork W2998190006 @default.
- W4367293002 hasRelatedWork W3020800844 @default.
- W4367293002 hasRelatedWork W3024571857 @default.
- W4367293002 hasRelatedWork W3111637045 @default.
- W4367293002 hasRelatedWork W4312649081 @default.
- W4367293002 hasRelatedWork W2501045432 @default.
- W4367293002 hasRelatedWork W2802448954 @default.
- W4367293002 hasVolume "6" @default.
- W4367293002 isParatext "false" @default.
- W4367293002 isRetracted "false" @default.
- W4367293002 workType "article" @default.