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

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Journal : Jurnal ULTIMA InfoSys

 1 
Analisis Titik Tertinggi dan Terendah dengan Model Stokastik pada Perdagangan Mata Uang Modern Raymond Sunardi Oetama
ULTIMA InfoSys Vol 7 No 2 (2016): UltimaInfoSys :Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.183 KB) | DOI: 10.31937/si.v7i2.548

Abstract

The Internet supports a new era of trading online in foreign Exchange Market. One of popular pairs in this market is Gold which is paired with US Dollars or commonly coded as XAUUSD. Prices are drawn as candle sticks. These candle sticks have four data such as open, low, high, and close price. The highest and the lowest price are explored in this study using Stochastic. The highest and lowest price is interesting to be analyzed as Traders can make maximum profit by trading from the highest price to the lowest price or vice versa. Index Terms—forex, gold, candle sticks, statistics, stochastics
K-Means Clustering Video Trending di Youtube Amerika Serikat Kevin Widjaja; Raymond Sunardi Oetama
ULTIMA InfoSys Vol 11 No 2 (2020): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v11i2.1508

Abstract

Youtube is the most popular video platform in the world today. Successful YouTubers can create videos that are widely viewed by many Youtube users around the world. A lot of viral videos on Youtube came from the United States. But, making viral videos on Youtube is a tough challenge, both for seasoned YouTubers and especially for new YouTubers. This research focuses on discovering the properties of these viral videos by clustering them into distinct clusters. K-Means algorithm is used for the clustering process. The purpose of this clustering process is to look for patterns in the data that were previously unseen. The result shows that the videos are divided into three clusters which are built from 3 variables; views, likes and dislikes. The patterns and insights found in this study can be useful for aspiring video makers who want to achieve success as a Youtuber.
Pola Cluster Geospatial Eksplorasi Kejahatan Narkoba di DKI Jakarta Raymond Sunardi Oetama; Tan Thing Heng; David Tjahjana
ULTIMA InfoSys Vol 11 No 1 (2020): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.268 KB) | DOI: 10.31937/si.v9i1.1514

Abstract

This study is focused on building some visualizations of crimes that occur in the Jakarta area in general, and specifically on drug problems. As the largest city in Indonesia, Jakarta faces the highest number of crimes throughout Indonesia. But unfortunately, there is a lack of geospatial visualization about crime in Jakarta. The visualizations are presented as some cluster models. These models show which parts of Jakarta with a high level of crime, the biggest crimes in Jakarta, and the types of crimes that occur in Jakarta. The biggest crime in Jakarta is also explained with some additional information such as the type of crime, age, and distribution. Clustering is divided into three, which are high, medium, and low. The grouping model was built using Tableau with the K-means algorithm. The results of this study can be used for the Provincial Government of DKI Jakarta to make strategic plans to develop actions that can reduce crime rates in Jakarta.
Finding Features of Multiple Linear Regression On Currency Exchange Pairs Raymond Sunardi Oetama; Ford Lumban Gaol; Benfano Soewito; Harco Leslie Hendric Spits Warnars
ULTIMA InfoSys Vol 13 No 1 (2022): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v13i1.2683

Abstract

Due to the prospects for financial gain, forex is always attractive to many people. However, because forex market analysis is not simple, a computer is needed to assist in creating predictions using features that are understandable to people. This study employs the Multilinear Regression technique to identify these kinds of features. The features and prediction target have a very strong correlation. With a very low RMSE and a very high R square, the prediction quality is quite outstanding. The outcome will help academics in the forex field use machine learning algorithms to make better predictions.
Co-Authors Antonius Sony Eko Nugroho Benfano Soewito Cinthiya Cinthiya David Tjahjana Dery Afrizal Darmawin Fanny Johan Fernando Jose Armando Ford Lumban Gaol Jansen Wiratama Kevin Widjaja Kevina Angellin Lisa Oviani Mahfudz Amri 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