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All Journal Jurnal Informatika dan Teknik Elektro Terapan International Journal of New Media Technology Jurnal ULTIMA InfoSys Jurnal ULTIMATICS Journal of Information Systems and Informatics Jurnal Informatika dan Rekayasa Perangkat Lunak G-Tech : Jurnal Teknologi Terapan
Raymond Sunardi Oetama
Universitas Multimedia Nusantara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering

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Journal : Jurnal ULTIMATICS

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Prediksi Harga Saham Perusahaan Perbankan Menggunakan Regresi Linear Studi Kasus Bank BCA Tahun 2015-2017 Merfin Merfin; Raymond Sunardi Oetama
Ultimatics : Jurnal Teknik Informatika Vol 11 No 1 (2019): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1381.112 KB) | DOI: 10.31937/ti.v11i1.1239

Abstract

Stock investment is important for financial development in a company. Moreover, the stock price displayed by the company can be known by the people and the local economy because the company has gone public on the Indonesia Economic Exchange (IDX) at www.idx.co.id. There are several fundamental factors that influence the stock market price in a listed company and as a result the number of stock investors in Indonesia is very small. This cause made it difficult for the community to predict the stock price of banking companies at inconsistent prices. The method to be used in this paper is Linear Regression using Excel tools to perform calculations and SPSS 16.0 as a data mining tool. The research data taken is historical data of banking companies for 3 periods as a whole in the form of excel that has been downloaded from the Yahoo Finance website. The final results are in the form of MAPE charts in 3 years period, and Average error chart in 3 years period.
The Decision Tree C5.0 Classification Algorithm for Predicting Student Academic Performance Natanael Benediktus; Raymond Sunardi Oetama
Ultimatics : Jurnal Teknik Informatika Vol 12 No 1 (2020): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (563.761 KB) | DOI: 10.31937/ti.v12i1.1506

Abstract

Student’s performance is often used as a benchmark and a student’s activeness is frequently used as a criteria of how well a student academically perform at school. Where in this study would try to find out whether the activeness of a student can predict their academic performance. The data used is an educational dataset is collected using a learning management system (LMS), which is a learner activity tracker tool that is connected by the internet. This data has numerical and categorical variables, so it is needed to have the right algorithm to classify data accurately and ensure data validity. In this study, the C.50 algorithm is used to test the data, where the data is divided into training data by 75% and testing data by 25%. And the result from the tested data, an accuracy of 71.667% is obtained.
Co-Authors Antonius Sony Eko Nugroho Benfano Soewito Bonfilio Wilson Atmadja David Tjahjana Dery Afrizal Darmawin Fanny Johan Fernando Jose Armando Ford Lumban Gaol Jansen Wiratama Kevin Widjaja Lisa Oviani Merfin Merfin Mikhael Billy Tanaga Natanael Benediktus Nico Nathanael Wilim Samuel Ady Sanjaya Santo Fernandi Wijaya Tan Thing Heng Tania Ciu Warnars, Harco Leslie Hendric Spits