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All Journal International Journal of Artificial Intelligence Research Jurnal Sistem dan Manajemen Industri
'Azzam, Abdullah
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Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Transportation

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Integrating Sentiment Analysis and Quality Function Deployment for Product Development 'Azzam, Abdullah; Mahardiningtyas, Syafira; Qurtubi, Qurtubi
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1100

Abstract

The development of technology and media has made online data reviews a promising data source. Through machine learning utilizing text processing, data analysis of Ventela Public Low product reviews can be carried out—sentiment analysis is used to find class groups from each data. The classification algorithm is Naïve Bayes and Support Vector Machine (SVM). A classification model with the best performance and accuracy values will be selected. Word association is then applied to obtain information from the required class. Quality Function Deployment (QFD) is a tool used to assist designers in developing products. The results of the integration of sentiment analysis into QFD show that sentiment analysis produces information by the provisions of the QFD method and can support the product development process in terms of the amount of data various data topics and reduces the subjectivity of designers at the stage of determining Voice of Customer (VOC) and performance values of products and competitors
Augmented reality-based application design with rapid prototyping method to support practicum during the covid-19 pandemic 'Azzam, Abdullah; Sugarindra, Muchamad; Qurtubi, Qurtubi
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 2 (2022): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i2.4704

Abstract

The COVID-19 pandemic that has occurred throughout the world has hampered the world of education in carrying out the learning process. It requires the world of education to make rapid changes to the concept of learning so that the results of the learning process remain following the curriculum. However, during a pandemic, students are forced to study from home. Of course, this limits the essence of the practicum, which has to be done in the laboratory because students need interaction activities with machines. Augmented reality (A.R.) is a technology that allows users to interact with virtual objects. In this study, the application design is carried out using the rapid prototyping method, which can quickly accommodate the application development process. This study proves that AR-based applications can increase the understanding of 58% of students about the use of lathe, milling and 3D printing machines.
Co-Authors Mahardiningtyas, Syafira Qurtubi Qurtubi, Qurtubi Sugarindra, Muchamad