Penanganan bencana alam di Indonesia menjadi hal yang sangat penting untuk segera dilakukan dalam menentukan prioritas rehabilitasi dan rekonstruksi wilayah pascabencana alam. Penentuan prioritas rehabilitasi dan rekonstruksi pascabencana alam dilakukan dengan pendekatan metodologi Sistem Pendukung Keputusan (SPK) untuk membantu menyelesaikan permasalahan dalam proses pengambilan keputusan. Metode Simple Multi Attribute Rating Technique (SMART) akan diterapkan untuk menentukan prioritas wilayah pada rencana aksi rehabilitasi dan rekonstruksi pascabencana alam karena kesederhanaannya pada proses perhitungan dalam pemilihan alternatif yang telah dirumuskan. Tujuan penelitian ini adalah menghasilkan SPK dengan mengimplementasikan metode SMART untuk menentukan prioritas rehabilitasi dan rekonstruksi wilayah pascabencana, sehingga proses penanggulangan bencana akan tepat sasaran dan sesuai dengan peraturan penanggulangan bencana alam. Proses validasi pada penelitian ini adalah dengan membandingkan hasil metode dengan data fakta atau data kejadian (data histori). Koefisien Korelasi Rank Spearman yang diperoleh yaitu 0,95. Hal ini menunjukan bahwa, metode SMART bisa digunakan untuk menentukan prioritas rehabilitasi dan rekonstruksi pascabencana alam.The handling of natural disasters in Indonesia becomes a very important thing to be done in determining the priority of rehabilitation and reconstruction of post-disaster natural areas. The prioritization of post-disaster natural rehabilitation and reconstruction is done by methodology of Decision Support System (DSS) to help solve problems in decision making process. The Simple Multi Attribute Rating Technique (SMART) method will be applied to determine the priority of the region in the post-disaster natural rehabilitation and reconstruction action plan because of its simplicity in the calculation process in the alternative selection that has been formulated. The purpose of this research is to produce SPK by implementing SMART method to determine priority of rehabilitation and reconstruction of post disaster area, so that disaster management process will be appropriate target and in accordance with natural disaster management regulation. The validation process in this research is by comparing the method result with fact data or event data (historical data). Spearman Rank Correlation Coefficient obtained is 0.95. This indicates that the SMART method can be used to determine priorities for post-disaster rehabilitation and reconstruction.
Information technology is developing rapidly and the effect is every single organization will always collect data and information. The information collected is used as a basis for decision making. But not all information can be directly used for the decision making process. Method and weighting are needed in the process of getting information. One method that can be used to support the decision making process is Multi-Objective Optimization on the basis of Ratio Analysis (MOORA). MOORA is included in the Multi Criteria Decision Making (MCDM) which makes it possible to provide the best choice of information from several choices by using criteria values. This research uses the MOORA method as determining strategic industrial locations by combining spatial data. In determining the strategic location of the industry, MOORA uses several criteria and different weights for each criteria. The MOORA with spatial data can be produce the right information related to the determination of strategic industry locations by finding the correlation between method results with industry location in Semarang city. The results obtained from this research are the formation of a decision support system modeling of industrial location determination using the MOORA method with spatial data. Correlation value generated by the Spearman Rank method is 0,9.
Online mapping has developed rapidly over the past few years resulting to replace GIS functionality. This system allows users to use appliacation without using specialized GIS software. The system can receive data from multiple sources and display the map to all users. These developments bring web-based mapping technology. Web-based mapping using MapsAPI as third-party tools. MapsAPI allows system to mapping data in real time and real location. That information technology can support smart city program’s to solve several problem in a city like mapping the location of the damaged roads. Users only need to use internet browsing application to add location or observe the map of road damage. People and government as system user’s, can utilize the system to determine the priority of roadwork.
Technology as a learning material will impact students impact in the future, in certain and details lesson material. Decission Support System teach how to solve the problems with algorythm methods application. One of them is ELimination Et Choix Traduisant la REalité (ELECTRE). ELECTRE is a complex methods with various stages in solving problems. ELECTRE is difficult to understand in convensional way. Furthermore, this research aimed to solve the problems by create experimental tool called ELECTRE application.
ABSTRAKSistem Pendukung Keputusan (SPK) atau Decision Support System (DSS) merupakan suatu pendekatan (atau metodologi) untuk mendukung pengambilan keputusan. SPK menerapkan metode algoritma dalam penyelesaian masalah. Ada beberapa metode algoritma yang dapat digunakan dalam penyelesaian masalah, salah satunya adalah metode profil matching (GAP). Profil matching adalah sebuah mekanisme pengambilan keputusan dengan mengasumsikan bahwa terdapat tingkat variabel prediktor yang ideal yang harus dipenuhi oleh subyek yang diteliti, bukannya tingkat minimal yang harus dipenuhi atau dilewati. SPK dapat diterapkan dalam berbagai macam bidang, salah satunya adalah bidang koperasi. Salah satu proses bisnis pada koperasi yaitu pemberian kredti bagi nasabah. Berdasarkan profil nasabah pihak koperasi dapat mengabulkan dan bahkan menolak permintaan kredit oleh nasabah. Penelitian ini fokus pada proses pengajuan kredit kedua yang dilakukan nasabah yang sebelumnya pernah mengajukan kredit dan disetujui oleh pihak koperasi.Kata kunci: sistem pendukung keputusan; profil matching (GAP); kredit kedua. ABSTRACT Decision Support System (DSS) is an approach (or methodology) to support decision making. DSS applies algorithm method in solving the problem. There are several algorithmic methods that can be used in problem solving, one of which is the profile matching (GAP). A profile matching is a decision-making
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