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All Journal Jurnal Humanitas: Katalisator Perubahan dan Inovator Pendidikan Unisda Journal of Mathematics and Computer Science (UJMC) JUKESHUM: Jurnal Pengabdian Masyarakat
Widya Hartati
STIA Muhammadiyah Selong
Humanities Computer Science & IT Education Health Professions Mathematics Nursing Public Health Social Sciences

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Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

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REGRESI NONPARAMETRIK MENGGUNAKAN METODE ROBUST DAN CROSS-VALIDATION (STUDI KASUS MAHASISWA STIA MUHAMMADIYAH SELONG) Ratna Yuniarti; Widya Hartati
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 3 No 2 (2017): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (609.443 KB) | DOI: 10.52166/ujmc.v3i2.462

Abstract

This paper is about comparison of estimation regression function between nonparametric regression kernel using Nadaraya Watson estimator with simple linearregression. In addition, a long-time case study was given in obtaining the first job. The data used are fresh graduate student, of Public Administration departement in STIA Muhammadiyah Selong graduate 2016. In this case we will see the relation between Cumulative Achievement Index (X) with long waiting time to get the job (Y). The software statistics with the help of software applications R. For the selection of the best model is by Cross-Validation. In this paper, given the theory and prove about crossvalidation method are described. And then, this paper describes the Robust method if there is outlier.
Co-Authors Nova Hari Santhi Ratna Yuniarti Sandy Ari Wijaya