Decision Support System for Determining the Level of Employee Salary Increase in CV. Hera Citra Abadi by Using the Simple Additive Weghtting (SAW) Method
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Abstract
In accordance with the regulations determined by the office to obtain a promotion, criteria are needed to determine who will be elected to receive promotion. Job promotion is carried out with the aim of providing feedback on the performance produced by a civil servant for a certain period. To help determine in applying someone who deserves to be promoted his position for Decision Support Systems is to use the Fuzzy Multi Attribute Decision Making (FMADM) model. In this study a case was raised, namely looking for the best alternative based on predetermined criteria using the Simple Additive Weighting (SAW) method to calculate the FMADM model in that case. Fuzzy is used using a fuzzy system rule that is fuzzification, inference and deffuzification. This FMADM model was chosen because it is able to select the best alternative from a number of intended alternatives, namely those who have the right to choose employees to be promoted in accordance with the specified criteria. The research was conducted by looking for weight values for each attribute, then a ranking process was carried out that would determine the optimal alternative, namely the best civil servants.
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I. W. Arka, “Language management and minority language maintenance in (eastern) Indonesia: strategic issues,” Lang. Doc. Conserv., vol. 7, 2013.
S. Nelson-Sathi, “Network Modeling of Lateral Inheritance in Genome and Language Evolution.” Universitäts-und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2013.
M. Ravindranath and A. C. Cohn, “Can a language with millions of speakers be endangered?,” 2014.
T. A. Balogun, “An endangered Nigerian indigenous language: The case of Yoruba language.,” African Nebul., no. 6, 2013.
N. Lahpan and W. Sofwan, “The Sundanese-language Drama Festival,” Perform. Contemp. Indones. Celebr. Identity, Constr. Community, p. 147, 2015.
S. Musgrave and J. Hajek, “7. Linguistic Diversity and Early Language Maintenance Efforts in a Recent Migrant Community in Australia: Sudanese Languages, their Speakers and the Challenge of Engagement,” in Challenging the monolingual mindset, Multilingual Matters, 2014, pp. 113–130.
E. M. T. Ali, “Pronunciation problems: Acoustic analysis of the English vowels produced by Sudanese learners of English,” Int. J. English Lit., vol. 4, no. 10, pp. 495–507, 2013.
O. García, F. M. Hult, and J. A. Fishman, “Contributions to the Sociology of Language.”
A. A. Malik and A. Habib, “Urdu to English machine translation using bilingual evaluation understudy,” Int. J. Comput. Appl., vol. 82, no. 7, 2013.
T. Mahmud, K. M. A. Hasan, M. Ahmed, and T. H. C. Chak, “A rule based approach for NLP based query processing,” in 2015 2nd International Conference on Electrical Information and Communication Technologies (EICT), 2015, pp. 78–82.
D. Thambawita, R. Ragel, and D. Elkaduwe, “To use or not to use: Graphics processing units (GPUs) for pattern matching algorithms,” in 7th International Conference on Information and Automation for Sustainability, 2014, pp. 1–4.
S. Sen, “Critical Information Retrieval from Emails,” 2014.
Y. M. Keerthana and S. V. Krishna, “IMPLEMENTATION OF AHO CORASICK ALGORITHM IN INTRUSION DETECTION SYSTEM USING TCAM FOR MULTIPLE PATTERN MATCHING,” Editor. Board, vol. 3, no. 8, p. 314, 2014.
V. Alfred, “Algorithms for finding patterns in strings,” Algorithms Complex., vol. 1, p. 255, 2014.
S. Tevatia, R. Prasad, and D. Rai, “An offensive algorithm for multi-pattern parameterized string matching,” in 2013 International Conference on Control, Computing, Communication and Materials (ICCCCM), 2013, pp. 1–5.
M. K. Ahmad, “An enhanced Boyer-Moore algorithm.” Middle East University, 2014.
R. Shirude, V. B. Nikam, and B. B. Meshram, “Performance Efficient DNA Sequence Detection on GPUUsing Parallel Pattern Matching Approach,” Int. J. Comput. Sci. Inf. Technol., vol. 5, no. 4, pp. 5380–5385, 2014.
M. Deo and S. Keely, “Parallel suffix array and least common prefix for the GPU,” in Proceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming, 2013, pp. 197–206.
P. Ejendibia and B. B. Baridam, “String Searching with DFA-based Algorithm,” Int. J. Appl. Inf. Syst, vol. 9, pp. 1–6, 2015.
A. Cisłak, “Full-text and Keyword Indexes for String Searching,” arXiv Prepr. arXiv1508.06610, 2015.
J. Jegerski and B. VanPatten, Research methods in second language psycholinguistics. Routledge, 2013.
R. F. Fellows and A. M. M. Liu, Research methods for construction. John Wiley & Sons, 2015.
N. Suhairom, A. H. Musta’amal, N. F. M. Amin, and N. K. A. Johari, “The development of competency model and instrument for competency measurement: The research methods,” Procedia-Social Behav. Sci., vol. 152, pp. 1300–1308, 2014.
A. J. Pickard, Research methods in information. Facet publishing, 2013.

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