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All Journal Journal of Education, Humaniora and Social Sciences (JEHSS) Jurnal Mantik
Suwandi Suwandi
Universitas Prima Indonesia
Computer Science & IT Economics, Econometrics & Finance Health Professions Languange, Linguistic, Communication & Media Public Health Social Sciences

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Comparison Analysis of SVM Algorithm with Linear Regression in Predicting used Car Prices Yennimar Yennimar; Kelvin Kelvin; Suwandi Suwandi; Amir Amir
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

During the high activity , car has become a basic need. On the other hand, the price of new car is getting higher. To meet these needs, people are looking for alternatives by buying used cars. One of the factors to consider when looking for a used car is price. In this study, two algorithms that are quite popular in terms of prediction will be tested, namely the Support Vector Machine algorithm and the Linear Regression algorithm in predicting used car prices. Support Vector Machine is a supervised learning method that analyzes data and recognizes patterns for regression. Support Vector Machine has the ability to solve linear and nonlinear problems. Linear Regression Algorithm is a modeling and analysis of numerical data consisting of one or more independent variables and the value of the dependent variable, with the aim of using regression analysis to estimate the value of the dependent variable based on the value of the independent variable. The result of this research is that the SVM method can perform better than linear regression. SVM can perform kernel-tricks that can handle non-linear data, thus making the non-linear data appear to be linear. but this cannot be done by Linear regression.
Pengaruh Rasio Aktivitas, Solvabilitas dan Likuiditas terhadap Profitabilitas pada Perusahaan Pertambangan Batubara Suwandi Suwandi; Jenny Thalia; Syakina Syakina; Munawarah Munawarah; Siti Aisyah
Journal of Education, Humaniora and Social Sciences (JEHSS) Vol 1, No 3 (2019): Journal of Education, Humaniora and Social Sciences (JEHSS) April
Publisher : Mahesa Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.438 KB) | DOI: 10.34007/jehss.v1i3.42

Abstract

lvabilitas dan Likuiditas Terhadap Profitabilitas Perusahaan Pertambangan Batubara yang terdaftar di Bursa Efek Indonesia periode 2012-2016. Rasio aktivitas menggunakan Inventory Turnover, Working Capital Turnover, Total Asset Turnover dan Receivable Turnover sedangkan rasio solvabilitas menggunakan Debt to Equity Ratio dan rasio likuiditas menggunakan Current Ratio. Pendekatan penelitian adalah pendekatan kuantitatif asosiatif dengan sifat kausal. Populasi dalam penelitian ini adalah seluruh perusahaan pertambangan batubara yang terdaftar di BEI sebanyak 22 perusahaan. Terdapat 8 perusahaan yang dipilih dengan menggunakan metode purposive sampling. Dalam penelitian ini teknik analisis yang digunakan adalah analisis regresi linear berganda. Berdasarkan hasil uji hipotesis secara simultan, diperoleh pengaruh signifikan terhadap Profitabilitas, dengan hasil uji koefisien determinasi sebesar 34,5%. Sedangkan berdasarkan hasil uji hipotesis secara parsial, Inventory Turnover, Debt to Equity Ratio, Working Capital Turnover, Current Ratio dan Receivable Turnover tidak berpengaruh signifikan terhadap profitabilitas dan Total Assets Turnover berpengaruh positif dan signifikan terhadap profitabilitas.
Co-Authors Achmad Fahrudin Amir Amir Jenny Thalia kelvin kelvin Munawarah Syakina Syakina Yennimar Yennimar