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Lukman Fakih Lidimilah
Manajemen Informatika, AMIK Ibrahimy Situbondo
Computer Science & IT

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OPTIMASI ALGORITMA ALGA UNTUK MENINGKATKAN LAJU KONVERGENSI Hari Santoso; Lukman Fakih Lidimilah
Jurnal Ilmiah Informatika Vol. 2 No. 1 (2017): Jurnal Imliah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v2i1.446

Abstract

Artificial AlgaeAlgorithm (AAA) is an optimization algorithm that has advantages of swarm algorithm model and evolution model. AAA consists of three phases of helical movement phase, reproduction, and adaptation. Helical movement is a three-dimensional movement with the direction of x, y, and z which is very influential in the rate of convergence and diversity of solutions. Helical motion optimization aims to increase the convergence rate by moving the algae to the best colony in the population. Algae Algorithm Optimization (AAA ') was tested with 25 objective functions of CEC'05 and implemented in case of pressure vessel design optimization. The results of the CEC'05 function test show that there is an increase in convergence rate at AAA ', but at worst condition of AAA' becomes less stable and trapped in local optima. The complexity analysis shows that AAA has the complexity of O (M3N2O) and AAA 'has the complexity of O (M2N2O) with M is the number of colonies, N is the number of algae individuals, and O is the maximum of the evaluation function. The results of the implementation of pressure vessel design optimization show that AAA's execution time increased 1,103 times faster than AAA. The increase in speed is due to the tournament selection process in AAA performed before the helical motion, whereas in AAA 'is done if the solution after movement is no better than before. At its best, AAA 'found a solution 4.5921 times faster than AAA. At worst, AAA 'stuck on local optima because helical movement is too focused on global best that is not necessarily global optima.
QUESTION ANSWERING TERJEMAH AL QUR’AN MENGGUNAKAN NAMED ENTITY RECOGNITION Lukman Fakih Lidimilah
Jurnal Ilmiah Informatika Vol. 2 No. 2 (2017): Jurnal Imliah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v2i2.466

Abstract

Al Quran is the guidance of all Muslims all over the world, including Indonesian society that most of the people are moslem. the purpose of this research is to help the society for seeking the quranic proposition in the free question forms or more often known Question Answering System (QAS). In this study the algorithm used to provide the answers is Rule Based. Rule Based on previous research by indexing documents using lucene with the same set of data and same category (Who, When, and Where) getting low accuracy result (60%, 60%, and 40%). In this research, the improvement of architecture by involving Named Entity Recognition (NER) and improvement of indexing and determination of candidate answer using Vector Space Model. The results of the improved architecture are proven increased accuracy with each accuracy of each category of 90%, 80%, and 50%.
Co-Authors Hari Santoso