Abstract: Academic libraries in Malaysia are still not prepared
for disaster even though several occasions have been reported. The
study sets out to assess the current status of preparedness in disaster
management among Malaysian academic libraries in the State of
Selangor and the Federal Territory of Kuala Lumpur. To obtain a
base level of knowledge on disaster preparedness of current practices,
a questionnaire was distributed to chief librarians or their assignees in
charge of disaster or emergency preparedness at 40 academic
libraries and 34 responses were received. The study revolved around
the current status of preparedness, on various issues including
existence of disaster preparedness plan among academic libraries in
Malaysia, disaster experiences by the academic libraries, funding,
risk assessment activities and involvement of library staff in disaster
management. Frequency and percentage tables were used in the
analysis of the data collected. Some of the academic libraries under
study have experienced one form of disaster or the other. Most of the
academic libraries do not have a written disaster preparedness plan.
The risk assessments and staff involvement in disaster preparedness
by these libraries were generally adequate.
Abstract: Molluca Collision Zone is located at the junction of
the Eurasian, Australian, Pacific and the Philippines plates. Between
the Sangihe arc, west of the collision zone, and to the east of
Halmahera arc is active collision and convex toward the Molluca Sea.
This research will analyze the behavior of earthquake occurrence in
Molluca Collision Zone related to the distributions of an earthquake
in each partition regions, determining the type of distribution of a
occurrence earthquake of partition regions, and the mean occurence
of earthquakes each partition regions, and the correlation between the
partitions region. We calculate number of earthquakes using partition
method and its behavioral using conventional statistical methods. In
this research, we used data of shallow earthquakes type and its
magnitudes ≥4 SR (period 1964-2013). From the results, we can
classify partitioned regions based on the correlation into two classes:
strong and very strong. This classification can be used for early
warning system in disaster management.