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Path Smoothing With Support Vector Regression Donni Richasdy; Saiful Akbar
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 4, No 1 (2020): ---> EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.22 KB) | DOI: 10.31289/jite.v4i1.3856

Abstract

One of moving object problems is the incomplete data that acquired by Geo-tracking technology. This phenomenon can be found in aircraft ground-based tracking with data loss come near to 5 minutes. It needs path smoothing process to complete the data. One solution of path smoothing is using physics of motion, while this research performs path smoothing process using machine learning algorithm that is Support Vector Regression (SVR). This study will optimize the SVR configuration parameters such as kernel, common, gamma, epsilon and degree. Support Vector Regression will predict value of the data lost from aircraft tracking data. We use combination of mean absolute error (MAE) and mean absolute percentage error (MAPE) to get more accuracy. MAE will explain the average value of error that occurs, while MAPE will explain the error percentage to the data. In the experiment, the best error value MAE 0.52 and MAPE 2.07, which means error data ± 0.52, this is equal to 2.07% of the overall data value.Keywords: Moving Object, Path Smoothing, Support Vector Regression, MAE
PENGARUH SISTEM PEMBERIAN TAMBAHAN PENGHASILAN PEGAWAI (TPP) TERHADAP KEPUASAN DAN MOTIVASI KERJA APARATUR SIPIL NEGARA (ASN) DI DINAS PARIWISATA PEMUDA DAN OLAHRAGA KOTA BIMA Saiful Akbar; Hermanto Hermanto; Agus Susanto
SCIENTIFIC JOURNAL OF REFLECTION : Economic, Accounting, Management and Business Vol. 5 No. 3 (2022): SCIENTIFIC JOURNAL OF REFLECTION: Economic, Accounting, Management, & Business
Publisher : Sekolah Menengah Kejuruan (SMK) Pustek

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Abstract

The purpose of this study was to reveal the effect of the system of providing additional employee income (TPP) on satisfaction and work motivation of State Civil Apparatus (ASN) at the Department of Tourism, Youth and Sports, Bima City. The population and sample in this study amounted to 32 people. The research instrument used questionnaires, and interviews. Then the data were analyzed by multiple linear regression. The results of the research are that: (1) There is a direct significant effect of the Employee Income Supplemental Provision System on State Civil Apparatus Employees; (2) there is a direct significant effect of job satisfaction on State Civil Apparatus Employees; (3) there is a direct significant effect of the Employee Income Supplement System on Job Satisfaction and Motivation in a stimulant manner; (4) it is known that the direct effect given by job satisfaction on Z (Bima City Youth and Sports Tourism Office) is 0.146. Meanwhile, the indirect effect of job satisfaction through Y (State Civil Apparatus) on Z (Bima City Youth and Sports Tourism Office) is 0.247. So the total effect given by job satisfaction on Z (Department of Tourism, Youth and Sports City of Bima) is a direct effect plus an indirect effect, namely: 0.146 +0.247 = 0.393. With the additional income of employees in the form of facsimile so that it affects job satisfaction and motivation of the State Civil Apparatus (ASN). Additional Employee Income (Incentives) in the form of facsimile will motivate the performance of the State Civil Apparatus at the Bima City Tourism Office.