Tahapan Desain dan Implementasi Model Machine Learning untuk Sistem Tertanam

Rizal, Aminuddin (2020) Tahapan Desain dan Implementasi Model Machine Learning untuk Sistem Tertanam. Ultima Computing : Jurnal Sistem Komputer, 12 (2). pp. 79-85. ISSN 2355-3286

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Abstract

machine learning and edge computing currently becomes popular technology used in any discipline. Flexibility and adapt to the problem are the main advantages of its technology. In this paper, we explain step-by-step way to make a lightweight machine learning model especially intended for embedded system application. We use open source machine learning tool called as Weka to design the model. Moreover, we performed a simple stress recognition experiment to make our own dataset for evaluation. We evaluate algorithm complexity and accuracy for different well-known classifier such as support vector machine, simple logistic and hoeffding tree.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 003 Systems (Computer Modeling and Simulation)
000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods (3D Graphics, Digital Video, Data Mining, Augmented Reality)
T Technology > T Technology (General) > T55 Industrial engineering. Management engineering > T57-57.97 Applied mathematics. Quantitative methods
Divisions: Fakultas Teknik Informatika > Program Studi Teknik Komputer
Depositing User: mr admin umn
Date Deposited: 02 Dec 2021 14:05
Last Modified: 02 Dec 2021 14:05
URI: http://kc.umn.ac.id/id/eprint/19317

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