Final Rev Karnawati Smart Grid
Proceedings of the 10th Anniversary of ICL – January 2012, Kyoto
Smart Grid for Landslide Monitoring and Early Warning System in
Indonesia
DwikoritaKarnawati(1), Eric. G. Frost(2), T. Faisal Fathani(1), Subroto(1), Budi Andayani(3)
1)
UniversitasGadjahMada, Faculty of Engineering, Yogyakarta, Jl. Grafika no 2, 55281, Indonesia
2)
San Diego State University, Geological Sciences and Visualization Center, San Diego, California, USA
3)
UniversitasGadjahMada, Faculty of Psychology, Yogyakarta, Bulaksumur, 55281, Indonesia
Abstract: Smart Grid is a participatory cyber-based
communication and information system, developed to
support the communication-monitoring of landslide
hazard and the coordination for landslide early warning,
via participatory on-line web and/ or various type of
social media.
To test the effectivity ofthe Smart Grid performance, a
pilot implementation of this system is now under
preparation. A specific landslide hazard area in
Karanganyar Regency will be selected as a pilot
implementation site. Prior to and after the trial
implementation of this system, a psycho-social survey
will be carried out, in order to evaluate the limitations of
such system and community response during the trial.
Keywords participatory, monitoring, early warning
Problem background
More than 40 % of the Indonesian region is
vulnerable for landslide disasters, due to the natural
conditions and high population density. Unfortunately,
problems to provide an appropriate land-use
management and to facilitate the relocation of human
settlements inevitably arise because of various socioeconomical constrains. Accordingly, the development of
landslide early warning system is urgently required to
reduce the risk of landslide. Nevertheless, numbers of
landslide early warning instruments which can be
installed will be very limited due to the economical
limitation, regardless the existence of large area of
landslide risk zone. Therefore, an appropriate system to
facilitate landslide monitoring and early warning which is
capable to cover quite large region vulnerable for
landslide is needed.
In order to solve the problems above, a smart
grid, which is designed as a cyber-based landslide hazard
monitoring and early warning system, is accordingly
developed. By utilizing a smart grid system, any
individual of the community member living in the
landslide prone area can have a direct access to the
hazard communication, monitoring and early warning
system, via any communication media such as mobile
phone, Twitter, Facebook or online website.
Conceptual design of Smart Grid
The smart grid is designed as a system of handling
networks of information nodes through the online web
or cyber system, with the specific functions to facilitate
the participatory data reporting via the online web,
mobile phone, or other various social media, and also to
store and analyze those participatory input-reports
(related to the geological/ geotechnical conditions and
process, which considered as the symptoms or early
indications of landslides), for defining the landslide
hazard and risk level in any particular site. Results of the
analyses are required to provide the emergency-decision
supports, which relate to the information of the zone and
level of landslide hazard/ risk, evacuation route and
shelter, as well as the recommendation of method or
approach for mitigation, preparedness and emergency
actions.
All of the information about hazard/risk and the
guidance for response will be blasted/ transmitted back
to the respective-reporting node as well as to the other
relevant registered nodes. This participatory system can
also be connected to various types of social media
(mobile phone call/text, Twitter, Facebook, Google+,
Yahoo, etc.)
It is also important that the multi-two way
directions facilitates the communication flow in this
participatory smart grid system. Such system can also be
linked to the existing community-based landslide early
warning system developed in parallel with this system.It
is also important that the multi-two way directions
facilitates the communication flow in this participatory
smart grid system. Such system can also be linked to the
existing community-based landslide early warning system
developed in parallel with this system.
Follow up plan for implementation
This smart grid system is now under preparation for the
pilot test at Karanganyar Regency, Central Java,
Indonesia. Prior to and after the pilot test, a psycho-social
survey will be carried out to assess the baseline sociocultural conditions of the study area, and also the social
response on the implementation of this system.
D.Karnawati et al – Smart Grid for Landslide Monitoringg and Early Warning System in Indonesia
Evaluation on such conditions is required to enhance the
existing design and performance of the smart grid
system, prior and after the implementations. Therefore,
more appropriate tool to facilitate the landslide
monitoring and early warning system can be further
performed.
Acknowledgments
This research can be carried out due to the funding
provided by the Directorate General of Higher Educationthe Indonesian Ministry of National Education.
Additional support from the US Department of State s
Bureau of Education and Cultural Affairs, through the
Fulbright Senior Research Program is also acknowledged.
We are also grateful to the Department of Geological
Sciences at San Diego State University, California, as well
as
to
the
Faculty
of
Engineering
of
UniversitasGadjahMada for providing the research
facilities for this project.
2
Smart Grid for Landslide Monitoring and Early Warning System in
Indonesia
DwikoritaKarnawati(1), Eric. G. Frost(2), T. Faisal Fathani(1), Subroto(1), Budi Andayani(3)
1)
UniversitasGadjahMada, Faculty of Engineering, Yogyakarta, Jl. Grafika no 2, 55281, Indonesia
2)
San Diego State University, Geological Sciences and Visualization Center, San Diego, California, USA
3)
UniversitasGadjahMada, Faculty of Psychology, Yogyakarta, Bulaksumur, 55281, Indonesia
Abstract: Smart Grid is a participatory cyber-based
communication and information system, developed to
support the communication-monitoring of landslide
hazard and the coordination for landslide early warning,
via participatory on-line web and/ or various type of
social media.
To test the effectivity ofthe Smart Grid performance, a
pilot implementation of this system is now under
preparation. A specific landslide hazard area in
Karanganyar Regency will be selected as a pilot
implementation site. Prior to and after the trial
implementation of this system, a psycho-social survey
will be carried out, in order to evaluate the limitations of
such system and community response during the trial.
Keywords participatory, monitoring, early warning
Problem background
More than 40 % of the Indonesian region is
vulnerable for landslide disasters, due to the natural
conditions and high population density. Unfortunately,
problems to provide an appropriate land-use
management and to facilitate the relocation of human
settlements inevitably arise because of various socioeconomical constrains. Accordingly, the development of
landslide early warning system is urgently required to
reduce the risk of landslide. Nevertheless, numbers of
landslide early warning instruments which can be
installed will be very limited due to the economical
limitation, regardless the existence of large area of
landslide risk zone. Therefore, an appropriate system to
facilitate landslide monitoring and early warning which is
capable to cover quite large region vulnerable for
landslide is needed.
In order to solve the problems above, a smart
grid, which is designed as a cyber-based landslide hazard
monitoring and early warning system, is accordingly
developed. By utilizing a smart grid system, any
individual of the community member living in the
landslide prone area can have a direct access to the
hazard communication, monitoring and early warning
system, via any communication media such as mobile
phone, Twitter, Facebook or online website.
Conceptual design of Smart Grid
The smart grid is designed as a system of handling
networks of information nodes through the online web
or cyber system, with the specific functions to facilitate
the participatory data reporting via the online web,
mobile phone, or other various social media, and also to
store and analyze those participatory input-reports
(related to the geological/ geotechnical conditions and
process, which considered as the symptoms or early
indications of landslides), for defining the landslide
hazard and risk level in any particular site. Results of the
analyses are required to provide the emergency-decision
supports, which relate to the information of the zone and
level of landslide hazard/ risk, evacuation route and
shelter, as well as the recommendation of method or
approach for mitigation, preparedness and emergency
actions.
All of the information about hazard/risk and the
guidance for response will be blasted/ transmitted back
to the respective-reporting node as well as to the other
relevant registered nodes. This participatory system can
also be connected to various types of social media
(mobile phone call/text, Twitter, Facebook, Google+,
Yahoo, etc.)
It is also important that the multi-two way
directions facilitates the communication flow in this
participatory smart grid system. Such system can also be
linked to the existing community-based landslide early
warning system developed in parallel with this system.It
is also important that the multi-two way directions
facilitates the communication flow in this participatory
smart grid system. Such system can also be linked to the
existing community-based landslide early warning system
developed in parallel with this system.
Follow up plan for implementation
This smart grid system is now under preparation for the
pilot test at Karanganyar Regency, Central Java,
Indonesia. Prior to and after the pilot test, a psycho-social
survey will be carried out to assess the baseline sociocultural conditions of the study area, and also the social
response on the implementation of this system.
D.Karnawati et al – Smart Grid for Landslide Monitoringg and Early Warning System in Indonesia
Evaluation on such conditions is required to enhance the
existing design and performance of the smart grid
system, prior and after the implementations. Therefore,
more appropriate tool to facilitate the landslide
monitoring and early warning system can be further
performed.
Acknowledgments
This research can be carried out due to the funding
provided by the Directorate General of Higher Educationthe Indonesian Ministry of National Education.
Additional support from the US Department of State s
Bureau of Education and Cultural Affairs, through the
Fulbright Senior Research Program is also acknowledged.
We are also grateful to the Department of Geological
Sciences at San Diego State University, California, as well
as
to
the
Faculty
of
Engineering
of
UniversitasGadjahMada for providing the research
facilities for this project.
2