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Akmaludin Akmaludin
Bina Sarana Informatika Jl. Salemba Tengah No. 45 Jakarta

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PEMILIHAN JEJARING SOSIAL MENGGUNAKAN ANALYTIC HIERARCHICAL PROCESS DENGAN PENDEKATAN SISTEM PENDUKUNG KEPUTUSAN Akmaludin Akmaludin
Paradigma Vol 12, No 1 (2010): Vol. 12 Nomor 1, Maret 2010
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2518.572 KB) | DOI: 10.31294/p.v12i1.3467

Abstract

Currently the Indonesian community was rife with long-distance communication must be use the internet facility. By using fasilitan via the Internet, hence more easy communication between each user, one of the connecting bridge that has been using social networking allows the user to communicate a lot like Facebook, Friendster, and Twiter. With many social networking facilities, then this study will provide an assessment in choosing among the three forms of social networking above and be an alternative choice. In assessing the third among alernatif social networking can be measured by several criteria such as level Popularities, Features, and Security, so that the results obtained from the analysis of the normalization of eigen value vector that can be obtained from each of the criteria can be described as follows: For the criterion level of popularity gained eigen value vector (0.4742), whereas the criteria associated with the eigenvalues obtained Features vector (0.1494), and for the safety criterion obtained eigenvalues vector (0.3764). With the basic use of the Random Index (RI) using a number n, then it can be searched value consistency Index (CI) and consistency ratio (CR) of the three social networks are as follows: In terms of criteria Popularity CI value (-1.1915) and CR (-2.0544), while the views of the criterion Features CI value (-1.1915) and CR (-2.0544) and visits from security criteria CI value (-1.1915) and CR (-2.0544).From the analysis of each value of consistency ratio (CR), it is concluded that this decision was acceptable, because the value of CR in the rules Analytic Hierarchical Process (AHP) must be worth less than 0.1 or a negative value. Keywords: analytic hierarchy process, eigen vector, consistency index, consistency ratio, decision making.
PEMILIHAN PEMBANGUNAN FASILITAS UMUM LINGKUNGAN PERUMAHAN DENGAN PENDEKATAN DECISION SUPPORT SYSTEM Akmaludin Akmaludin
Paradigma Vol 12, No 1 (2010): Vol. 12 Nomor 1, Maret 2010
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2595.729 KB) | DOI: 10.31294/p.v12i1.3475

Abstract

In organized activities is quite difficult for us in making decisions that could accommodate all the wishes of each participant involved in the decision-making contribution. Analytical Hierarchical Process (AHP), a method that is able to handle the problems in making decisions that bind all desired expectations. Analytical Hierarchical Process (AHP) is a method used to solve problems that can assist communities in selecting bekasi public facilities and infrastructure development will be built mainly in the construction of roads, markets, sports hall and recreation area. Through the analysis of the AHP process to which the writing can be inferred from the three criteria based on the value end of the analysis are viewed from the public participation criteria to prioritize construction of sports hall, seen from the criteria for prioritizing the benefits of road construction, and visits from care criteria to prioritize the development of recreation areas. The first process is performed in AHP is to find the eigen value vector of criteria and alternatives, and then calculate the value of consistency ratio (CR) of each criteria to comply with the value of the Random Index (RI) to the number of orders that were analyzed, the analytical results obtained value of consistency ratio (CR) criteria for public participation, benefits, and successive treatments were (-0.4872), (0.0730) and (0.0336). AHP value of consistency in the rules Ratio (CR) must be less than 0.1. From the analysis of the results obtained CR values below 0.1, so that decisions can be said to have an optimal and acceptable. Keywords: AHP, eigen vector, consistency ratio, decision