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Engineering, Mathematics and Computer Science Journal (EMACS)
Published by Universitas Bina Nusantara
ISSN : -     EISSN : 26862573     DOI : https://doi.org/10.21512/emacs
Core Subject : Science, Education, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics
Engineering, MAthematics and Computer Science (EMACS) Journal invites academicians and professionals to write their ideas, concepts, new theories, or science development in the field of Information Systems, Architecture, Civil Engineering, Computer Engineering, Industrial Engineering, Food Technology, Computer Science, Mathematics, and Statistics through this scientific journal.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 7 Documents
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Search results for , issue "Vol. 5 No. 1 (2023): EMACS" : 7 Documents clear
Operasi Dasar Baris/Kolom Matriks Secara Interaktif Dengan Menggunakan R I Gusti Agung Anom Yudistira; Rinda Nariswari
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 1 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i1.9206

Abstract

The linear algebra applications available today usually only provide the result. So, it is a challenge to overcome this, and innovation is needed in the computing aspect. One of the popular and open-source programming languages ​​is R. The computational innovation in R needs to be explored further, to explore the R programming logic. The creation of a function environment with the list function and the involvement of local and global variables/objects has received little attention. Based on the problems formulated, this study proposes two objectives, namely (1) developing an R program that is able to provide interactive and step-by-step solutions, to obtain a solution of a system of linear equations, and (2) to explore R’s ability to create and handle global variables. An R program is created, starting with creating a function environment. This function environment is filled with four related functions, namely “exchange”, “multiply”, “fold”, and “yield”. These four functions are connected to each other through a global object. Users can type in each function to perform row/column operations, interactively and step by step. The environmental function in this program, is named OBE. The OBE function accepts input in the form of a coupling matrix derived from a system of linear equations. The final result of this interactive process chain is given by the “result” function. The result function will display two matrices, namely the Original Matrix which is the input and the Equivalent Matrix.
Breast Cancer Classification Using Outlier Detection and Variance Inflation Factor Budi Juarto
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 1 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i1.9223

Abstract

In terms of malignant tumors, breast cancer is one of the most prevalent. Breast cancer is a form of cancer that develops in the breast tissue when the surrounding, healthy breast tissue is overtaken by the uncontrollably growing cells in the breast tissue. Several features or patient conditions can be used in a machine learning approach to predict breast cancer. Machine learning will be utilized in these situations to determine if the cancer is malignant or benign. The Wisconsin Breast Cancer (Diagnostic) Data Set, which contains 32 characteristics and 569 collected data, was the dataset used in this research.. Feature selection in this study is done by eliminating outliers using the upper and lower quartile of each feature then feature selection is also carried out on features that have features that have a high variance inflation factor. The machine learning methods used in this research are Logistic Regression, Random Forest, KNN, SVC, XG Boost, Gradient Boosting, and Ridge Classifier. The selection of this method is based on the target that will be predicted by 2 labels, namely benign cancer, and malignant cancer. The result obtained is that the selection of features using the variance inflation factor increases the accuracy of the previous Logistic Regression and Random Forest methods from 98.25% to 99.12%. The method that has the highest level of accuracy is the Logistic Regression and Random Forest methods which have a value of 99.12%. The next research will be developed by trying other optimization techniques for hyperparameter tuning.
Improve Learning Programming through Small Private Online Course and Virtual IDE Muhammad Taufiq Zulfikar
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 1 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i1.9234

Abstract

In learning programming languages ​​there are some technical problems such as the difficulty of installing IDE applications and tend to be heavy, cannot be used on various operating system platforms and there are no programming tutorials. By providing online and open learning content for certain organizations or often called SPOC (Small Private Online Course) and Virtual IDE to support SPOC, it can help students to improve programming skills. The purpose of this research is to create a SPOC LMS that has a Virtual IDE as a learning support. The Quantitative Method was used as a research method in this study to make a conclusion from the experimental results. The results of this study concluded that LMS SPOC and Virtual IDE can help students understand language programming.
IoT Based Vehicle Safety Controller Using Arduino Said Achmad; Raditya Adinugroho; Nur Safii Hendrawan; Thomas Franklin
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 1 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i1.9251

Abstract

Several people try to break into vehicles and steal vehicles left by their owners, sometimes even without the owner's knowledge. There are still various ways that can be done to a turn on the vehicle without the key from the vehicle so that the vehicle can be stolen easily. Due to the ease of break-in from some vehicles, several additional security implementations can be installed. One of these ways is to implement IoT and RFID. There are several implementations of IoT as an extra device for safety and tracking vehicles. RFID can be Implemented as an additional key or access. IoT and RFID can be combined to provide additional safety for vehicles and prevent vehicle theft. This research aims to propose a device that uses IoT technology and RFID to keep the vehicle safe and track the use of the vehicle. This research use Arduino, RFID, and GPS module. The proposed device was tested under various conditions of RFID use and the level of accuracy of the GPS module used. The test results show that the proposed tool can work well for security and tracking needs.
The Impactful Effect of E-Learning Study Method Towards Students Academic Achievements in General Irma Kartika Wairooy; Alexander Reynard; Muhammad Robih Octodhia; Wan Mahardika Andanu; Puti Andam Suri; Muhammad Edo Syahputra
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 1 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i1.9309

Abstract

This study aims to analyze the impact of the online learning or e-learning system on students' academic scores in general. This study uses previous research to review the infrastructure and factors of the E-Learning system in influencing students' academic scores. The research method of this research is using SLR (Systematic Literature Review). Research searches will be carried out on databases of journals that are known to the public, such as Springer, ResearchGate, Scopus, and others. Twenty-seven articles have been screened to fit the research criteria, collected, and reviewed. This study concludes that the E-Learning System gets honest feedback and is ignored, but indirectly has an impact on the actors in teaching and learning activities in the world of education. E-learning systems can provide solutions to problems at hand, but also create unfamiliar problems. The main factor in improving student learning experiences is student academic value. Keyword - E-Learning, Online Platform, Education, Systematic Online Learning, Academic Achievement, non-Academic Achievement
Perkembangan Model Data Temporal serta Implementasinya pada Database Management Systems Supria Supria
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 1 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i1.9392

Abstract

This essay examines how temporal data models are created and how they are integrated into database management systems. The well-known Relational Data Model’s extension, the Temporal Relational Data Model, is discussed. The application of this temporal data model in database management systems is also researched. The Historical Relational Data Model adds timestamps to attributes, and the Temporal Relational Model adds timestamps to tuples. These two approaches make up the temporal data model. It has become apparent via the implementation of this temporal data model that not all temporal data ideas are applicable to database management systems. IBM DB2 has explicitly integrated the idea of time stamps, but not the idea of PERIOD data type. While Teradata has implemented the PERIOD data type, but has not yet implemented the concept of explicit timestamps.
The Origin of The Basic Formula of The Fourier Series Wikaria Gazali
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 1 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i1.9398

Abstract

This paper discusses the Origin of the Basic Formula for the Fourier Series f(t)=a0/2+∑∞k=1 [ak cos⁡(kπt/L)+bk sin⁡(kπt/L) ] To obtain this model, the author derives the basic formula for the Fourier Series from Elementary Linear Algebra. In this derivation, we use the best approximation: least squares method whose details will be elaborated in this paper until we obtain the formula for the Fourier Series.

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