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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Binus Business Review Jurnal ULTIMA InfoSys ComTech: Computer, Mathematics and Engineering Applications Jurnal Ilmu Komputer dan Desain Komunikasi Visual International Journal Science and Technology (IJST)
Ford Lumban Gaol
Bina Nusantara University
Arts Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics

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The architecture social media and online newspaper credibility measurement for fake news detection Rakhmat Arianto; Harco Leslie Hendric Spits Warnars; Edi Abdurachman; Yaya Heryadi; Ford Lumban Gaol
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.11779

Abstract

Social media is one of the communication media favored by people in the world, especially in Indonesia. This is evidenced by the results of the APJII survey which shows that the majority of Indonesians use social media in their daily activities. One of the advantages of social media is the dissemination of information faster than conventional media so that the quality of information disseminated is lower than conventional media due to the process of disseminating information not through the filter process. By measuring the level of credibility of the online newspaper based on the time credibility, website credibility, and message credibility factors and measuring the level of credibility on social media based on the time credibility, Social Media Credibility, and Message Credibility factors with different levels of weight, it will produce a news likelihood level it's fake news or facts.
Pembelajaran Imersif Berbasis Augmented Reality: Sekarang dan Masa Depan Suzanna Suzanna; Ford Lumban Gaol
Jurnal Ilmu Komputer dan Desain Komunikasi Visual Vol 6 No 1 (2021): Jurnal Ilmu Komputer dan Desain Komunikasi Visual (JIKDISKOMVIS)
Publisher : Fakultas Ilmu Komputer Universitas Nahdlatul Ulama Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study discusses the use of Augmented Reality (AR) technology in immersive learning seen from its current and future developments. The discussion explores the benefits of AR technology from previous research in the past 5 years. The research method used is qualitative, quantitative, mixed, systems design and review papers by taking a sample of 125 papers which are suitable for the purpose of this study. From the research results, it is known that AR technology will continue to develop into a part of individual and community life. Likewise, in the context of education, AR technology will not only become a set of resources, tools for communicating, collaborating, presenting, creating objects and practices for the teaching process, but AR will become an inseparable part of the world of education.
The Behavior of Online Museum Visitors on Facebook Fan Page of the Museum in Indonesia Arta Moro Sundjaja; Ford Lumban Gaol; Sri Bramantoro Abdinagoro; Bahtiar S. Abbas
Binus Business Review Vol. 8 No. 3 (2017): Binus Business Review
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/bbr.v8i3.3742

Abstract

The objective of this research was to discover the behavior of museum visitors on Facebook fan page in Indonesia based on the user motivation, user expectation, online community involvement, and Facebook fan page of the museum. This research used a quantitative approach to descriptive analysis. The population was the Facebook users who had followed the Facebook fan page of the museum in Indonesia. The samples used were 270 respondents. The researchers distributed the questionnaire to a Facebook group managed by museums or communities. Based on the demographic profile of respondent, the researchers discover that the respondents are highly educated, work as employees or student, and allocate more than Rp500.000,00 per month for traveling expense. Based on social media behavior of the respondents, the respondents are active using Facebook and not aware of the presence of museum in social media. The respondents require museum information, social interaction, and entertainment on Facebook fan page of the museum. Therefore, museum managers must maintain the content quality and perceived usefulness in delivering the information through Facebook. The involvement of cultural community can help people to get honest information about museum through credible opinion from the respondents.
Analisis Dampak Penerapan IT Service Desk pada Bank XYZ Ario Adi Prasetyo; Ford Lumban Gaol
ComTech: Computer, Mathematics and Engineering Applications Vol. 1 No. 2 (2010): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v1i2.2689

Abstract

The purpose of this study is to identify the determinants of IT operational performance related to IT Service Desk. And to determine the consideration of implementing IT Service Desk in the company business processes. The population in this study is 1500 employees or users of the IT Service Desk service. By using the Slovin, 100 users were obtained in the sample. The variables in this study include success factors of IT Service Desk and Problem Management. Methods of data collection include using questionnaire s. Analysis of data is conducted using multivariate analysis of the factor analysis. The conclusions of this research is obtained from, among others, the factors of success of the IT Service Desk and Problem Management. There are 9 to 37 variables and indicators. From the research, it is found that there is a relationship between factors. And after the reduction process of 37 indicators four new factors was formed which consist of a quick solution factor, excellent IT Service Desk factor, focus support factor, and excellent staff factor. From all the new factors, quick solution is the most dominant factor. 
Brain tumor segmentation using double density dual tree complex wavelet transform combined with convolutional neural network and genetic algorithm Ridha Sefina Samosir; Edi Abdurachman; Ford Lumban Gaol; Boy Subirosa Sabarguna
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i4.pp%p

Abstract

Image segmentation is often faced by low contrast, bad boundaries, and inhomogeneity that made it difficult to separate normal and abnormal tissue. Therefore, it takes long periodto read and diagnose brain tumor patients. The aim of this study was to applied hybrid methods to optimize segmentation process of magnetic resonance image of brain. In this study, we divide the brain tumor images with double density dual-tree complex wavelet transform (DDDTCWT), continued by convolutional neural network (CNN), and optimized by genetic algorithm (GA) with 48 combinations yielding excellent results. The F-1 score was 99.42%, with 913 images test data. The training images consist of 1397 normal MRI images and 302 tumor magnetic resonance imaging (MRI) images resized by 32 x32 pixels. The DDDTCWT transforms the input images into more detail than ordinary wavelet transforms, and the CNNs will recognize the pattern of the output images. Additionally, we applied the GA to optimize the weights and biases from the first layer of the CNNs layers. The parameters used for evaluating were dice similarity coefficient (DSC), positive present value (PPV), sensitivity, and accuracy. The result showed that the combination of DDDTCWT, CNN, and GA could be used to brain MRI images and it generated parameters value more that 95%.
DIGITAL TWIN CONCEPT FOR INDONESIA DIGITAL GOVERNMENT INFORMATION TECHNOLOGY GOVERNANCE Hari Setiabudi Husni; Ford Lumban Gaol; Suhono Harso Supangkat; Benny Ranti
International Journal Science and Technology Vol. 1 No. 2 (2022): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (791.909 KB) | DOI: 10.56127/ijst.v1i2.146

Abstract

This paper explores the possibility of digital twin concept implementation framework in Indonesia Digital Government Systems (IDGS) using Information Technology (IT) Governance indicators states in Indonesian Government regulation. The concept of Indonesia Digital Government regulated by Indonesia Presidential Regulation no. 95 year 2018 that define digital government as a governance that adapting to advances of technology information and communication and utilize optimally so it can provide service to citizen in most efficient and effective way. Indonesia government implement IT Governance using regulation publish by the Minister of State Apparatus and Bureaucracy Reform No. 59 year 2020 about monitoring and evaluation of Indonesia Digital Government System. In the regulation, the governance consists of monitoring, which is a systematic assessment process through verification of information on the results of the Self-Assessment to measure the maturity level of implementation and the evaluation, is a process of self-assessment systematically through verification and clarification of information which can be continued with information validation to the results of the Self-Assessment to measure maturity level of digital government system implementation. The concept of exploiting digital twin concept to Governed IT Management is a framework introduce by Geert Poels, Henderik A. Proper and Dominik Bork in 2021. The Digital Twin concept itself already utilize to do such as monitoring data, data analysis, conduct simulation, and enhances performance of assets. The framework will be use as a technology infrastructure reference model that facilitate Digital Twin in conceptual aspect where process of IT governance, organizational IT assets management and IT management processes, connected.
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 Abdinagoro, Sri Bramantoro Ario Adi Prasetyo Arta Moro Sundjaja Bahtiar S. Abbas Benfano Soewito Benny Ranti Edi Abdurachman Hari Setiabudi Husni Rakhmat Arianto Raymond Sunardi Oetama Ridha Sefina Samosir Sabarguna, Boy Subirosa Suhono Harso Supangkat Suzanna Suzanna Warnars, Harco Leslie Hendric Spits Yaya Heryadi