ARISANDI, JEJEN and Samsuryadi, Samsuryadi (2017) PREDIKSI KEBUTUHAN BUAH DENGAN SEGMENTASI PASAR MENGGUNAKAN SINGLE MOVING AVERAGE ENSEMBLE PARTICLE SWARM OPTIMIZATION DAN K-MEANS. Master thesis, Sriwijaya University.
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Abstract
K-means is a part of non-hierarchical clustering method which is this method needs an input parameters as much as k and divided a set of an object into k cluster so the level of similarity with a member in the one high cluster while the level of similarity with others cluster’s members is very low. Algorithm K-means used in this research is for grouping the fruits sales data, that data can be used for the process of company’s evaluation. But k-means has some weaknesses, that is determination of value k which is random that makes the data processed with k-means not maximal. This weakness can be solved with Particle Swarm Optimization (PSO) Algorithm. PSO Algorithm used to optimize the value of k in order to get the good result. The grouping of values that have been produced through k-means and PSO is processed again to estimate the sales of the fruit with the estimation period. The estimation method that is used is Single Moving Average (SMA), SMA Algorithm is used to has a prediction of fruit’s sales in the next period based on the data that has been grouped. The research’s results on fruit’s sales dataset leading the higher market segmentation using PSO as determinant of k value. This can be seen in the number of clustered encodings using a higher PSO than the determining’s process of k values manually. Moreover, for the maximum grouping results, then using the single moving averge algorithm as a predictor of the needs of the fruits.
Item Type: | Thesis (Master) |
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Uncontrolled Keywords: | K-Means, PSO, Single Moving Average, Pengelompokan, Prediksi, Segmentasi Pasar |
Subjects: | T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General) T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control) |
Divisions: | 09-Faculty of Computer Science > 55101-Informatics (S2) |
Depositing User: | Mr Halim Sobri |
Date Deposited: | 26 Sep 2019 03:42 |
Last Modified: | 26 Sep 2019 03:42 |
URI: | http://repository.unsri.ac.id/id/eprint/8950 |
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