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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 174 Documents
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Overview of Text Based Personality Prediction Using Deep Learning Kelvin, Kelvin; Utomo, Yesun
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 2 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i2.11550

Abstract

Text-Based Personality Prediction (TBPP) has garnered increasing attention in recent years, particularly within the frameworks of the Myers-Briggs Type Indicator and the Big Five Personality Model. This study presents a comprehensive systematic review of TBPP methodologies, focusing specifically on research published since 2017. Leveraging Google Scholar, a meticulous selection process was employed to identify and analyze papers meeting relevance criteria. The selected studies were analyzed for research design, data collection methods, preprocessing techniques, and modeling approaches. Notably, the study identifies prevalent Natural Language Processing methods utilized in TBPP, such as Recurrent Neural Networks, Convolutional Neural Networks, Long Short-Term Memory networks, ensemble methods, and pre-trained models like BERT. Results indicate that combining knowledge graphs with Bi-LSTM models achieved the highest accuracy for Big Five traits at 71.5%, while a BERT-CNN-RNN ensemble reached 85% accuracy for MBTI. The synthesized findings offer valuable insights into the current landscape of TBPP, with the aim of informing both researchers and practitioners. Furthermore, the study provides recommendations for future research directions, emphasizing the importance of refining methodologies and addressing challenges to foster continued innovation in personality prediction within the TBPP domain.
Opportunity and Challenges in UX Design for E-Commerce Website Suadamara, Rein
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 2 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i2.11555

Abstract

The study of this research focuses on a review approach based on the information collected on the opportunities and challenges in user experience (UX) design for e-commerce websites. The foundation of the study is based on the global expansion of e-commerce which demonstrated the people’s acceptance of e-commerce. Recognizing where there is room for improvements in the UX design is therefore critical. Overcoming the challenges is also important to create the best UX design that answers the user’s need for an e-commerce website. Understanding what users need through the user experience may determine the success of the companies’ e-commerce website, as UX and e-commerce reviews have a very strong correlation. Understanding the main reason that brings customers to make their purchases in an online market is important.  Experiencing a good user experience may lead to customer satisfaction and loyalty, which motivates them to return and make more purchases, as well as to recommend the website to other customers. Companies should make sufficient investments in UX noting that a successful e-commerce website highly depends on a positive UX. Examining earlier well-known research studies of UX design for e-commerce websites is the aim of this study, which will serve as a basis for further extensive research into this topic. Using the review approach, the study determined and evaluated the opportunities and challenges of UX design to improve user satisfaction to increase sales on e-commerce websites. Improving the user experience and user satisfaction will lead the customer to be more motivated in making orders and purchases. Having awareness on the website’s aspects that could have a negative impact to customers may improve the companies’ business process. Hence, research to improve the e-commerce website is key to providing users with a better online purchasing experience. The practical implication of this research is expected to serve as a guide for the development of e-commerce strategies. The findings are expected to enhance the efficacy of the e-commerce website as well as user satisfaction.
Combating Hoax and Misinformation in Indonesia Using Machine Learning What is Missing and Future Directions Sekarhati, Dwinanda Kinanti Suci
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 2 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i2.11556

Abstract

According to survey from several organizations in Indonesia to 10.000 respondents with age range from 13-70 years at 2022 and 2023, 56% respondents are mainly found hoax and misinformation on social media and online media platform with 45% respondents are hesitant with their ability to differentiate true information with hoax. Most of the hoax and false information researchers in Indonesia also still have some challenges such as on the dataset detection method. This research will use the systematic literature review using PICOC, inclusion-exclusion rules, and quality’s checklist. The results based on 20 papers are data crawler’s application usage, labelling, and text pre-processing are the major steps to improve the dataset with more than 10.000 data. There are also already some advance methodologies for hoax and misinformation detection in text form such as graph-based learning and special architecture design, yet there’s still a little number for the detection in media form. The recommendation includes the dataset improvement steps, literature, and methodologies in media form.
The Centralize Data by Utilizing CMIS to Assist Church Leaders in Making Strategic Plans (Case Study: XYZ Church) Setiawan, Putri Sanggabuana
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 2 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i2.11563

Abstract

Congregations are social entities that require a sense of community to function effectively. One of the most prominent locations for community engagement is the church. The diverse needs of congregants drive their attendance at church, including worship, social interaction, and spiritual growth. To fulfill these needs, churches offer a wide range of programs. To effectively address these needs, churches must have a clear understanding of the requirements of their congregants. A church management information system (CMIS) provides insight into the congregation's needs, enabling church leaders to comprehend their congregants' requirements and develop a strategic plan. The XYZ Church CMIS and data governance were developed based on a comprehensive literature review and input from IT professionals engaged in group discussions. This research's objective was to develop a CMIS to collect and manage data on the congregation and church. The insights from the CMIS have enabled church leaders to adjust event schedules. Prior to the implementation of the CMIS, the average attendance at events was below 20%. A review of the CMIS data over a 12-month period, in conjunction with the insights gained from group discussions with church leaders, revealed that event attendance had risen to above 70%. The church management information system has proven to be an effective tool for church leaders to create strategic plans for event scheduling, resulting in increased event attendance. In future research, it would be beneficial to consider not only enhancing event attendance but also increasing the number of congregants
Study of Sanitation Infrastructure Operations (Case Study: Wastewater Infrastructure in Ciamis Regency) Maulana, Suhenra
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 2 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i2.11671

Abstract

Sanitation infrastructure is intended to complement the needs of people who do not yet have access to wastewater infrasctucture include bathing, washing and toilet. Inadequate sanitation infrastructure in an area can cause problems of decreasing environmental quality in residential areas. Based on data from Ciamis Regency in Figures for 2022, it is stated that the population growth rate is 0.94%, this is one of the problems arising from the rapid population growth and various activities carried out, especially sanitation issues, which are related to domestic wastewater treatment including bathing, washing and toilet bathing facilities or Mandi, Cuci, Kakus (MCK). Ciamis Regency has a total of 63 MCKs that have been built in the 2010-2022 period, spread across 19 sub-districts and 62 villages with 63 MCK units. The results of the assessment of the functioning of the MCK infrastructure in Ciamis Regency show that 37 MCK units are in prime condition, 23 MCK units are damaged but can still function properly, 3 MCK units where users are hesitant to use the MCK. Efforts need to be made to repair damaged and/or non-functioning MCKs by increasing participation from the user community in the form of contributions to MCK managers. This is with the aim that people want to reuse and care for MCK as a form of sense of ownership and shared responsibility.
Enhancing Computer Science Education Through Electronic Team-Based Learning: A Hybrid Approach to Collaborative Learning Makalew, Brilly Andro; Pardamean, Bens
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 2 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i2.11713

Abstract

This paper explores the implementation of electronic Team-Based Learning (e-TBL) as a hybrid educational solution, combining traditional TBL methodologies with electronic platforms to enhance collaborative learning experiences. The study aims to assess the effectiveness of e-TBL in improving knowledge acquisition, teamwork skills, and overall academic performance among computer science students. The research was conducted in five phases, including preparation, experimentation, and evaluation, with a focus on developing an e-learning application integrated with Moodle. The results indicated significant improvements in student motivation, engagement, and academic achievement. The study concludes with recommendations for integrating e-TBL in various educational settings, highlighting its adaptability and potential for enhancing learning outcomes in both traditional and online environments.
Computer Resource Utilization Analysis for Microsoft Excel and Python in Data Processing Kelvin, Kelvin; Wahab, Wahidin; Wulandari, Meirista
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 2 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i2.11736

Abstract

Data analysis is essential for gaining insights and making informed decisions. A crutial step in data analysis is data processing, which involves preparing and filtering raw data to ensure accuracy, consistency, and structure. While Microsoft Excel is commonly used for data processing, it is susceptible to human errors and has limitations in handling large datasets. Python provides an alternative by automating data processing through scripts executed by the interpreter. The superior software for data processing is obtained by comparing the computer resource utilization based on statistical theory approach, Wilcoxon signed-rank test. This test is appropriate because it does not require the assumption of a normal distribution, providing flexibility in comparing computer resource utilization between Microsoft Excel and Python. Microsoft Excel and Python proceed *.csv and *.xlsx files, then Task Manager recorded the data of computer resource utilization for each processing step. The Wilcoxon signed-rank test analyzes the data and evaluating two hypotheses. H0 (there is no any significant differences in computer resource utilization between Microsoft Excel and Python are calculated for each data processing) and H1 (there is significant differences in computer resource utilization between Microsoft Excel and Python are calculated for each data processing). The sum of ranks in Wilcoxon test are compared to the critical value from the Wilcoxon distribution table to determine the accepted hypothesis. Based on the Wilcoxon test results, hypothesis H1 is accepted, indicating a significant difference in computer resource utilization between Microsoft Excel and Python.
American Sign Language Translation to Display the Text (Subtitles) using a Convolutional Neural Network Ramadhan, Muhammad Fajar; Samsuryadi, Samsuryadi; Primanita, Anggina
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 3 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i3.11904

Abstract

Sign language is a harmonious combination of hand gestures, postures, and facial expressions. One of the most used and also the most researched Sign Language is American Sign Language (ASL) because it is easier to implement and also more common to apply on a daily basic. More and more research related to American Sign Language aims to make it easier for the speech impaired to communicate with other normal people. Now, American Sign Language research is starting to refer to the vision of computers so that everyone in the world can easily understand American Sign Language through machine learning. Technology continues to develop sign language translation, especially American Sign Language using the Convolutional Neural Network. This study uses the Densenet201 and DenseNet201 PyTorch architectures to translate American Sign Language, then display the translation into written form on a monitor screen. There are 4 comparisons of data splits, namely 90:10, 80:20, 70:30, and 60:30. The results showed the best results on DenseNet201 PyTorch in the train-test dataset comparison of 70:30 with an accuracy of 0.99732, precision of 0.99737, recall (sensitivity) of 0.99732, specificity of 0.99990, F1-score of 0.99731, and error of 0.00268. The results of the translation of American Sign Language into written form were successfully carried out by performance evaluation using ROUGE-1 and ROUGE-L resulting in a precision of 0.14286, Recall (sensitivity) 0.14286, and F1-score.
Integration of QFD, HOQ, Taguchi, and Kansei Engineering for Smart Desk Lamp Design Barus, Maranatha; Harito, Christian
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 3 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i3.12136

Abstract

This research focuses on the analysis of smart desk lamps. To the authors’ knowledge, there is no previous study about Voice of Customer regarding smart desk lamps in Indonesia, to know the requirements for a smart desk lamp from Indonesian customer using the QFD and House of Quality (HOQ) The overall value of the interaction matrix with HOQ, the relative weight results for each customer and functional requirements are obtained. The highest technical requirement from HOQ is automatic on/off. The Taguchi method is to find out the best design for each Kansei Engineering that has been created. The Kansei Engineering that have been created are easy to use, adjustable lamp, affordable price, modern design, hi-tech. Each Kansei Engineering produces the required design according to the S/N Ratio (signal to noise ratio). Based on the QFD questionnaire and design using Kansei Engineering, one best design was obtained, namely hi-tech. The design consists of 3 parts, namely the top, middle and bottom. At the top, the slim rectangular shape is preferable with lights position in the middle. Pole position is round, upright position. At the bottom, it has a circular shape.
Efficient Computation of Number Fractions from the Square Root of Two Using the A-B Goen Number Function Via the Ivan Newton (in) Series Goenawan, Stephanus Ivan
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 3 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i3.11575

Abstract

The square root number of two is an irrational number. If it is an irrational number, the result cannot be written as a fraction of the numerator and denominator. Fractions that approach the square root value of two have a correlation with Goen's A-B numbers. The regularity of the A-B Goen number sequence can be formulated into the A-B Goen function which is built from the Ivan Newton series. In this research, it can be proven that the A-B Goen function from the Ivan Newton (IN) series is computationally more effective and efficient when compared to the A-B Goen generating function in producing A-B Goen numbers which in infinite sequence will approach the square root value of two.

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