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Journal : Foristek

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SUPPLIER MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) Deny Wiria Nugraha; Wirdayanti Wirdayanti
Foristek Vol. 3 No. 2 (2013): Foristek
Publisher : Foristek

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Abstract

Supplier selection is multicriteria problem, since for selecting the supplier who will become partner, decision maker must consider many criteria to measure supplier performance. One of the models that is used to measure supplier performance is Supplier Performance Rating used in Kingston-Warren Corporation. The key aspects related to that model are Quality, Cost and Delivery. One of tools that used by decision maker to select supplier is making a computer system that can interact with decision maker. The system is called Decision Support System (DSS) for supplier selection. The process of supplier selection uses Analytical Hierarchy Process (AHP) model. AHP model conduct supplier selection by making paired matrix comparison from defined criterion. Result of AHP model calculation is in the form of priority value, so that the highest priority value produced by the model is used by decision maker to choose the best candidate supplier.
Geographic Information System Using Node Combination Based on Dijkstra's Algorithm for Determining the Shortest Tsunami Evacuation Route in Palu Bay: Rancang Bangun Sistem Informasi Geografis Menggunakan Kombinasi Node Berbasis Algoritma Dijkstra Pada Penentuan Jalur Terpendek Evakuasi Tsunami Di Teluk Palu Angreni, Dwi Shinta; Budiman, Wahyu; Anshori, Yusuf; Wirdayanti, Wirdayanti; Bintana, Rizqa Raaiqa
Foristek Vol. 14 No. 2 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.455

Abstract

Indonesia, an archipelagic country situated on the Equator and surrounded by the Ring of Fire, is highly susceptible to natural disasters such as tectonic earthquakes and volcanic eruptions. Palu, one of Indonesia's seismically active regions, is traversed by the Palu-Koro Fault, which has the potential to trigger strong earthquakes and tsunamis, as evidenced by the 7.4-magnitude earthquake in September 2018. To mitigate disaster risks, it is crucial to understand community vulnerability and utilize Geographic Information System (GIS) technology. This study designs a GIS-based system using the modified Dijkstra's Algorithm to determine the shortest tsunami evacuation routes in Palu. Testing results indicate that the system is effective, with a user satisfaction rate of 89.33% and satisfactory route prediction accuracy compared to Google Maps. The system can be relied upon to help communities find the nearest evacuation routes, thereby enhancing safety and preparedness in the face of potential disasters.