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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 171 Documents
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Fruits Recognition using Deep Convolutional Neural Network for Low Computing Device Irene Anindaputri Iswanto
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 2 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i2.9986

Abstract

Artificial intelligence is one of the most developed fields in Computer Science where a lot of researches had been done to make the computer smarter to perform human-like task. One of the most common human-life task research that had been done is object recognition. Convolutional Neural Network is one of the most popular deep learning model to perform a good object recognition. While improving CNN model can be done by simply increasing the depth of its architecture, some researchers prove that as the CNN architecture go deeper, the accuracy will get worse. ResNet, with their residual layer, successfully lift the limitation, but ResNet by itself is too heavy for a mobile or low computing device. This paper proposes a new model which could reach the accuracy of ResNet while having faster prediction time. The proposed model and other state-of-the-art models had been trained on our own fruits and vegetables dataset. The result shows that the proposed model can reach the same accuracy as Resnet110 and overcome the accuracy of DenseNet121 while being faster than those models.
Enhancing Flood Disaster Preparedness Through Virtual Reality: A VR-based Flood Simulator Game Francisco Maruli Panggabean
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 2 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i2.9988

Abstract

This research focuses on the use of virtual reality (VR) technology to increase user preparedness for flood disasters. This study aims to develop a VR-based flood simulation that provides users with immersive flood disaster simulations in line with flood preparedness guidelines. Game application needs are collected through questionnaires and similar application analysis. Evaluation is carried out to assess user needs, user interface (UI), and game effectiveness in increasing flood disaster preparedness. The evaluation was carried out by involving users who live in flood-prone areas, asking them to play a VR flood simulator game and filling out a questionnaire. The results show positive user perceptions and an average score increase of 25.38% in the second play session, indicating increased readiness. The VR flood simulator game shows its potential to increase preparedness and knowledge in dealing with flood disasters.
Phishing Detection Applications for Website and Domain at Browser using Virustototal API Nadia Nadia; Wellson Leewando; Javier Paulus; Valentino Nooril
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 5 No. 2 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i2.9998

Abstract

The purpose of this research is to create a browser extension-based application that can detect malicious sites to minimize phishing attacks. The research method used is to conduct a literature study and collect data from the questionnaire results. Research testing methods are blackbox testing, performance testing using 100 URL with precision and recall method, and comparison between two other simillar applications. The results of this study indicate that this application has good functionality and can reduce phishing attacks on users. The conclusion that can be drawn from this research is that the malicious site detection feature in browser extensions can enhance user protection from phishing attacks
User Experience Analysis of Duolingo Using User Experience Questionnaire Anderies Anderies; Cindy Agustina; Tania Lipiena; Ayunda Raaziqi; Alexander Agung Santoso Gunawan
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 5 No. 3 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i3.9227

Abstract

The internet is one of the vital means for everyone to get various information easily and exact like they’re looking for. The use of internet-based learning that is applied in modern times is very influential in the field of education compared to the past, because it can develop language skills in a country, besides that increasingly sophisticated technology can help students learn in a structured manner. One of the impacts we can see or feel is on the learning process. With the internet, it is so much easier either for the students or the teachers. One of the well-known applications in the world is Duolingo. Duolingo is one of many applications that give so much influence to language learning applications. More than 300 million people already use Duolingo for their learning. The purpose of this experiment is to analyze the User Experience of the Duolingo application. The experimental method was applied using surveys distributed via social media. There are 103 Duolingo users who were willing to take the surveys and answer all of the questions given. The result of the survey showed Novelty’s scale has the lowest mean, and Perspicuity’s scale has the highest. That means some of Duolingo’s users found that the application is less interesting. Hence, that could affect the effectiveness of the application.
Relay Driver Based on Arduino UNO to Bridge the Gap of The Digital Output Voltage of The Node MCU ESP32 Yulianto Yulianto
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 5 No. 3 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i3.9697

Abstract

The IoT could control the devices that need a high current voltage to operate. The voltage control here means that the IoT could give the command to turn on and turn off the electric current by using a relay module. One of the devices that are most frequently used in many research projects is Node MCU ESP8266 and Node MCU ESP32. Those microcontrollers work with the maximum supply is 3.3-volt direct current (DC). On the other hand, the relay module commonly needs a voltage supply of 5-volt DC and the relay needs to be controlled by a single transistor to make a trig on. The relay will be active when the transistor’s basis pin is grounded into the ground, so the relay will get the current flow. However, the relay module which is controlled using Node MCU could not work properly, caused Node MCU only provides the digital out is 3-volt maximum from its digital Input Output pins (I/O). Meanwhile, the driver relay based on a single transistor needs a bias input amount of 5 volts to make the relay module active well. If the bias voltage doesn't reach 5 volts or just 3.3 volts will make the relay can't switch on properly which can result in bad contact. To overcome that problem this research proposed the driver relay based on Arduino UNO. The novel of this research is adding the Arduino UNO module between Node MCU and the relay module which has task to bridge the voltage difference between the output digital output ESP that only maximum 3.3 volt converted by Arduino to be digital output which can reach the voltage of 5 volt. The Arduino JSON library was also involved to wrap the commands that produced by Node MCU then deserialized on Arduino to parse and convert to be digital output to control the relay module.
Structural Time Series Model using Hamiltonian Monte Carlo for Rice Price Rifdatun Ni'mah
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 5 No. 3 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i3.9903

Abstract

Although forecasts of future events are simply uncertain, predicting is one of the most important aspects of future planning. Accurate rice price predictions tend to be helpful for wholesalers, producers, and farmers to develop plans and strategies to reduce the risks that can be faced. Structural time series models are the most plausible alternative for long-term forecasting. This paper proposes an alternate method for modeling average rice prices using structural time series along with Bayesian parameter inference via Hamiltonian Monte Carlo (HMC). The model has been built using the monthly average wholesale rice price from January 2010 to December 2019. For working out both structural time series and HMC, the TensorFlow Probability Library was used. Linear trend, seasonal, and autoregressive components were combined as an additive model to the structural time model. The proposed Hamiltonian parameter produces an optimal acceptance rate. Their trace plot was used to diagnose the convergence of their chain. One of the predictive accuracy of models was assessed using the mean absolute percent error (MAPE). Through both single and multiple chain iterations, the prediction accuracy of a year-ahead is highly accurate, with MAPE less than 2%. Long-term iteration draws during Hamiltonian Monte Carlo should be considered when attempting to achieve more convergence.
Analysis and Design of Asset and Non-Asset Lending Information Systems in the Informatics Engineering Service Unit at Astra Polytechnic Haikal Andrean; Indah Cyithia Devi; Fadhilah Nur’aini; Michael Edigia Wizard
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 5 No. 3 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i3.9907

Abstract

The development of information technology is developing rapidly and has a positive impact on organizational, one of which is Astra Polytechnic, especially at UPT Informatics, which supports the operational activities of inventory lending in the form of assets and non-assets which are considered inefficient. The process of recording, submitting, and approving inventory loans is still done manually, so it takes a lot of time and is prone to errors. The process of recording inventory data is still using excel, loan applications are still made using hardcopy forms and there are no asset and non-asset reports. The aim of research is to analyze needs and design of a system for lending assets and non-assets at UPT Informatics based on Web Applications in order to overcome these problems. The design uses System Development Life Cycle (SDLC) based on Prototyping methodology until design stage. The process of analysis and design is explained using Unified Modeling Language (UML) approach. Analysis of system requirements is carried out on ongoing business processes, which are then outlined in design of asset and non-asset lending information systems, especially in documentation process to produce reports according to company needs.
Government Recommendations for the Effective Implementation of QuickCommerce Policy to Transform the E-Commerce Sector Muhammad Younus; Tunjung Sulaksono; Suranto Suranto
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 5 No. 3 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i3.9969

Abstract

This paper aims to determine the guideline regarding the Initiative of the Government to transform the E-commerce industry of the country and take it to a new level of QuickCommerce. The Researchers who are working on the research in this field of work are using ‘Qualitative Research.’ This research material was taken from social media, Online Media, Websites, and Articles, and then it is displayed in descriptive format. This paper indicates that making this guideline will ensure the improvement needed in the E-commerce Market and make it ready for the successful implementation of QuickCommerce in the country. Several steps need to be followed to create and successfully implement QuickCommerce—first, the analysis and determining the significant challenges are present currently, which is pushing back the smooth implementation. Second, the selection of the way forward for the implementation of it and deciding the critical indicators required for it. Finally, then proposing the solution based on the analysis. This study is limited to the extent to which the problem is clearly defined, then suggests the solution with its working flow, and lastly, what advantage it will provide to solve the problem that the current E-commerce market is facing.
Minimizing Defects in Radiator Grille Upper Garnish Parts using Six Sigma (DMAIC) at PT. AAS Yosica Mariana; Wandi Andrean; Nina Tania Lestari
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 5 No. 3 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i3.10481

Abstract

To achieve quality improvement, companies must align their production processes with customer needs, control production costs effectively, and maintain product quality. This approach enhances customer satisfaction, increases market share, and boosts profitability. PT. AAS, an automotive company specializing in injection molding and painting, relies on resin as its primary raw material to produce car parts for major clients like Hyundai, Suzuki, and Astra. To dominate the market, PT. AAS must prioritize delivering quality products on time to earn customer trust and secure continuous orders. Initially, the QC data for the injection molding area showed a high defect rate of approximately 17.5% for the Garnish Radiator Grille Upper part, from December 2022 to May 2023. Prior to implementing the Six Sigma method, PT. AAS had a DPMO (Defects Per Million Opportunities) value of 58,177, equivalent to a 3.10 Sigma level. After applying the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) process, the DPMO decreased to 17,991, resulting in a 3.60 Sigma level. This suggests that PT. AAS currently operates at a 4 Sigma level, with a strong potential to reach 5 or even 6 Sigma by addressing the root causes of rejection. The fishbone analysis highlights the need for action across all departments, including Management. Key areas to focus on include Material, ensuring the correct resin delivery to the Injection Molding station; Machine, verifying proper machine settings and utilizing the 5S methodology; Environment, optimizing room temperature and ventilation; and Man, providing training to enhance operators' knowledge and sense of responsibility.
Influential Factors Affecting the Adoption Intention of Electric Vehicles in Indonesia: An Extension of the Theory of Planned Behavior Daffa Refor Multi Ray; Christian Harito
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 5 No. 3 (2023): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v5i3.10525

Abstract

The primary goal of the thesis was to examine the factors that affect the willingness of people in Indonesia to adopt Electric Vehicles (EVs). Given the pressing need in Indonesia to address energy shortages and reduce greenhouse gas emissions, this research aimed to investigate the elements that influence people's inclination to use EVs. In this study, questionnaires were used as a means of measurement. Respondents were provided with a brief explanation before completing the survey. Using an extended TPB (Theory of Planned Behavior) model, the research analyzed the adoption intentions of 310 respondents from Indonesia, following a minimum sample guideline of 200. The collected data was analyzed using smartPLS4 to extract insights. The empirical analysis of the research focused on five key factors: attitude, subjective norms, perceived behavioral control, environmental concern, and moral norms. Notably, the empirical results showed that while attitude had an insignificant impact on the adoption intention of EVs in Indonesia, the other factors subjective norms, perceived behavioral control, environmental concern, and moral norms had a significant and positive influence on the intention to embrace electric vehicles in the country. Based on these findings, it can be concluded that the extended TPB model is suitable for predicting the adoption intention of electric vehicles. Considering these results, the study explores the implications for EV adoption in Indonesia, offering valuable insights and recommendations for future research and for the Indonesian government's decision-making process regarding the factors that influence EV adoption.

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