Pengukuran Kinerja Logistik Bantuan Kebencanaan dengan Pembobotan Analytical Hierarchy Process (Studi Kasus di BPBD Kota Medan)
Abstract
Logistics management for humanitarian aid is as important and crucial
as supply chain logistics in business sector. Good humanitarian logistics
management can reduce impact of losses from damage caused by unpredictable
natural disasters and can saved and assisted victims affected. This research was
conducted to measure and find out the performance of disaster relief logistics at
BPBD Kota Medan, one of the organizations that practice humanitarian
assistance in Medan City. Logistics performance measurement is carried out by
establishing 18 Key Performance Indicators (KPI) based on the four perspectives
of Balanced Scorecard, namely a financial, an internal business process, a
beneficiary and growth and inovation perspective. The four perspectives and 18
KPIs will be weighted using the Analytical Process Hierarchy (AHP) method and
the weighting results will be normalized to calculate the final logistics
performance score. The results of the study obtained a final score of 60.132 which
is included in average performance category. The results of the SNORM score for
each KPI which was carried out using the Traffic Light System method showed 8
KPIs were included in the red category, which means that they needed
improvement suggestions. The suggestions for improvements for BPBD Kota
Medan to improve indicators in the red category are to create a disaster
mitigation education program for the community, increase the allocation of
logistical assistance, create SOPs for quality control and quality control and
availability of structured logistics goods, create an integrated technology-based
logistics management program, creating training programs for logistics
management employees and developing integrated communication information
systems such as community reporting websites so that disaster relief logistics
activities can be carried out in real time, effectively and efficiently.
Collections
- Undergraduate Theses [1591]