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All Journal Jurnal Mandiri IT
Rafiqa Dewi
STIKOM Tunas Bangsa, Pematang Siantar, Indonesia
Computer Science & IT Library & Information Science Mathematics

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Hybrid model for optimization of ambulance allocation relocation in smart cities Rafiqa Dewi
Jurnal Mandiri IT Vol. 12 No. 2 (2023): October: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i2.235

Abstract

To increase the percentage of survival of citizens both in normal times and in times of emergency or Emergency Medical Services (EMS) which is one of the main pillars in a smart city, among the most important is ambulance management. A hybrid model between LR-MEXCLP is a model that combines local activity estimation with the TIMEXCLP model by achieving maximum coverage on MEXCLP which then this hybrid model can lead in solving a series of ambulance facility placement problems more accurately. This model was developed by establishing an integration model between the ability to estimate local activity and maximum completion coverage and with the shortest response time, so as to create a reliable ambulance service in a smart city.
Hybrid model for optimization of ambulance allocation relocation in smart cities Rafiqa Dewi
Jurnal Mandiri IT Vol. 12 No. 2 (2023): October: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i2.235

Abstract

To increase the percentage of survival of citizens both in normal times and in times of emergency or Emergency Medical Services (EMS) which is one of the main pillars in a smart city, among the most important is ambulance management. A hybrid model between LR-MEXCLP is a model that combines local activity estimation with the TIMEXCLP model by achieving maximum coverage on MEXCLP which then this hybrid model can lead in solving a series of ambulance facility placement problems more accurately. This model was developed by establishing an integration model between the ability to estimate local activity and maximum completion coverage and with the shortest response time, so as to create a reliable ambulance service in a smart city.
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