Abba Suganda Girsang

Rectifying the Inconsistent Fuzzy Preference Matrix in AHP Using a Multi-Objective BicriterionAnt

Analytic hierarchy process (AHP) is a decision making tool regarding the criteria analysis to obtain a priority alternative. One of the important issues in comparison matrix of AHP is the consistency. The inconsistent comparison matrix cannot be used to make decision. This paper proposes an algorithm using a modified BicriterionAnt to pursue two objectives intended to rectify the inconsistent fuzzy preference matrix, called MOBAF. The two objectives include minimizing the consistent ratio (CR) and minimizing the deviation matrix, which are in conflict with each other when rectifying the inconsistent matrix. This study uses two pheromone matrices and two heuristic distances matrices to generate the ants tour. To see the performance, MOBAF is implemented to rectify on some inconsistent fuzzy preference matrices. As a result, in addition to being able to rectify the CR, the proposed algorithm also successfully generates some non-dominated solutions that can be considered as optimal solutions.

Robust adaptive genetic K-Means algorithm using greedy selection for clustering

Clustering is a task to divide objects into group depends on their similarity. The optimal of solving clustering problem occurs when the data joins in one group which has a similar category. This study combines Adaptive Genetic Algorithm, K-Means and Greedy Selection to solve clustering problem, named RAGKA. In first step, the centroid is determined by K-Means. Crossover and mutation are performed based on the fitness value of each centroid. At last, the greedy search is operated to get the better solution. To show the performance of RAGKA, five data sets of clustering problem are used. Moreover, RAGKA is compared with other methods as well. The result shows that RAGKA is successfully to solve cluster problem and outperforms than the others.

Repairing the inconsistent fuzzy preference matrix using multiobjective PSO

This paper presents a method using multiobjective particle swarm optimization (PSO) approach to improve the consistency matrix in analytic hierarchy process (AHP), called PSOMOF. The purpose of this method is to optimize two objectives which conflict each other, while improving the consistency matrix. They are minimizing consistent ratio (CR) and deviation matrix. This study focuses on fuzzy preference matrix as one model comparison matrix in AHP. Some inconsistent matrices are repaired successfully to be consistent by this method. This proposed method offers some alternative consistent matrices as solutions.

A hybrid cuckoo search and K-means for clustering problem

Cuckoo search algorithm (CSA) is one of behavior algorithm which is effective to solve optimization problem including the clustering problem. Based on investigation, k-means is also effective to solve the clustering problem specially in fast convergence. This paper combines two algorithms, cuckoo search algorithm and k-means algorithm in clustering problem called FCSA. Cuckoo search is used to build the robust initialization, while K-means is used to accelerate by building the solutions. The result confirms that FCSAs computational time in ten datasets is faster than the compared algorithm.

University Accreditation using Data Warehouse

The accreditation aims assuring the quality the quality of the institution education. The institution needs the comprehensive documents for giving the information accurately before reviewed by assessor. Therefore, academic documents should be stored effectively to ease fulfilling the requirement of accreditation. However, the data are generally derived from various sources, various types, not structured and dispersed. This paper proposes designing a data warehouse to integrate all various data to prepare a good academic document for accreditation in a university. The data warehouse is built using nine steps that was introduced by Kimball. This method is applied to produce a data warehouse based on the accreditation assessment focusing in academic part. The data warehouse shows that it can analyse the data to prepare the accreditation assessment documents.

Implementation application internal chat messenger using android system

At present the development of rapid communications equipment makes easier to communicate globally. Chat messenger application is used for android users to communicate through internet and have a chat such as line, whatsUp, blackberry messenger (BBM), yahoo messenger and so forth. In communicating via instant messages, some people may also experience problems when communicating with foreigners, of which at least the required skills in the English language. The purpose of this research is to build the application chat messenger fellow android user through internal operation office. The result shows that the application can translate automatically in different language. It also shows the application can achieve the good performance in CPU, RAM, GPU and bandwith usage.

Face recognition using eigenface with naive Bayes

One of the lack of eigenface for prediction the face recogniton is not good accuracy. This paper uses naive Bayes for classifying the result of eigenface feature extraction to predict the face. The normalization z-score is added for sharping the accuracy. To see the performance of proposed method, the 200 datasets are divided into data training and testing by using cross validation (k=10). The results show that the proposed method can predict the face image up to 70%. Moreover by adding normalization Z-Score, the accuration of prediction raise up to 89.5% (in average).

Image hiding optimization using ant colony optimization algorithm

Deterioration in the quality on host media (such as image) usually occurs when the information (such as text or image) is hidden or embedded in the host. The smaller deterioration on host media after embedding the information, the system hiding is more successful because it shows there is no significant different between the original host image and the host image after embedded. This study proposes hiding information into a host image so that the deterioration is minimal using least significant bit (LSB) substitution and modified ant algorithm. The minimal deterioration is achieved when each pixels on the information is appropriate hidden on pixels on host media. The minimal deterioration as objective function is get by chasing the maximal peak signal-to-noise ratio (PSNR). This proposed method is implemented on some hosts image with two image information. The results show the host embedded image has no the different significant with the original host image with PSNR between about 63–73.

Multi-objective Using NSGA-2 for Enhancing the Consistency-Matrix

The problem of consistency matrix in Analytic Hierarchy Process (AHP) is an interesting issue. For achieving consistency in the inconsistent matrix, researchers usually change the consistent ratio (CR) and the deviation matrix. The pursuit of a minimal CR is important, since this index directly measures the consistency matrix in the AHP. While the deviation matrix should be minimal such that the original opinion of the decision makes is preserved. Ideally, the both value of CR and deviation matrix should be minimal. However, in fact those two objectives will be conflicted if both of them are optimized simultaneously. Therefore, a non-dominated Sorting Genetic Algorithm-2 (NSGA-2) for solving the multi-objective problems is considered as an appropriate approach for solving this problem. Six inconsistent AHP matrices are successfully repaired using NSGA-2.

Mapping Knowledge Management for Technology Incubation

Knowledge Management is an approach which is based on the understanding that the task of the organization, which is understood by both of the reuse of knowledge and how the success of re-use of knowledge that has been created. Knowledge management is a series of activities that are used to identify, create, describe, and distribute knowledge. Business and Technology Incubator is one of alternative models of business development through incubation system that can help entrepreneurs to create and grow their business. This review will discuss mapping knowledge management for business and technology incubator that provides guidance to new business, support facilities and transfer of technology and business, especially for small and medium enterprises which will be a case study in Tegal regency, Central Java, Indonesia. The result showed that mapping knowledge management for business and technology incubator can help entrepreneur winning the competition in their business.