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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

Author-ID : 3449215

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

Published : 16 Documents Claim Missing Document

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New Traders’ Mood when using Trading Online Application in Universitas Multimedia Nusantara Lisa Oviani; Raymond Sunardi Oetama
IJNMT (International Journal of New Media Technology) Vol 5 No 1 (2018): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Trading online have a brief history of success all due to Internet. However, beginners find some difficulties to make profit. One of the reasons is their moods. This study is focused to explore their moods. Some moods are found has relation with the trading online. Avoiding loss in trading online, some moods should be controlled first before they start trading. Index Terms— Trading Online, Foreign Exchange

Model Prediksi Regresi Logistik untuk Penyakit Kardiovaskular Tania Ciu; Raymond Sunardi Oetama
IJNMT (International Journal of New Media Technology) Vol 7 No 1 (2020): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

— It is undeniable that cardiovascular disease is the number one cause of death in the world. Various factors such as age, cholesterol level, and unhealthy lifestyle can trigger cardiovascular disease. The symptoms of cardiovascular disease are also challenging to identify. It takes careful understanding and analysis related to patient medical record data and identification of the parameters that cause this disease. This study was conducted to predict the main factors causing cardiovascular disease. In this study, a dataset consisting of 14 attributes with class labels was used as the basis for identification as a link between factors that cause cardiovascular disease. The research area used is the area of analysis data where the analyzed data are on factors that influence the presence of cardiovascular disease in the State of Cleveland. In predicting cardiovascular disease, a logistic regression algorithm will be used to see the interrelation between the dependent variable and the independent variables involved. With this research, it is expected to be able to increase readers' knowledge and insight related to how to analyze cardiovascular disease using logistic regression algorithms and the main factors that cause cardiovascular disease.

Sentiment Analysis About Indonesian Lawyers Club Television Program Using K-Nearest Neighbor, Naïve Bayes Classifier, And Decision Tree Nico Nathanael Wilim; Raymond Sunardi Oetama
IJNMT (International Journal of New Media Technology) Vol 8 No 1 (2021): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v8i1.1965

Indonesia Lawyers Club (ILC) is a talk show on TVOne that discusses topics around public phenomena, legal issues, crime, and other similar topics. In 2018, ILC won the Panasonic Gobel Awards as the best news talk show program. But in 2019, ILC failed to win the award which was won by Mata Najwa which featured a talk show event that appeared on Trans7. As one of the television shows that has won awards, ILC has pros and cons for its shows from the public. This study applies a sentiment analysis approach to examine public opinion on Twitter about Mata Najwa and ILC in 2018 and 2019. This study applies K-Nearest Neighbor, Naïve Bayes Classifier, and Decision Tree classification algorithm to validate the result. The contribution of this study is to show that public opinion on Twitter can be examined to figure out community sentiment on a tv talk show as well as to confirm the Award winner of tv Talkshow. Index Terms—datamining; Decision Tree; K-NN; Naïve Bayes Classifier; sentiment analysis

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

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

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

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.

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

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

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.

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

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.

Teacher Performance Evaluation Decision Support System Using Simple Additive Weighting: Case Study Mentari Intercultural School Dery Afrizal Darmawin; Raymond Sunardi Oetama
G-Tech: Jurnal Teknologi Terapan Vol 7 No 2 (2023): G-Tech, Vol. 7 No. 2 April 2023
Publisher : Universitas Islam Raden Rahmat, Malang

The role of the teacher is critical in the process of developing a country's resources. In this case, efforts are required to maintain teacher quality. Evaluating teacher performance is one method of maintaining the quality of these teachers. However, many teacher performance evaluation processes are still carried out manually in Indonesian schools. The solution to this problem in this study is the creation of a teacher performance evaluation system in the form of a web-based Decision Support System prototype by applying Simple Additive Weighting. Several pieces of software, including Java, Hypertext Markup Language, PHP, and Cascading Style Sheets, are used in this study. As a result, this system contributes to the simplification of the teacher evaluation process.

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

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