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All Journal International Journal of Advances in Applied Sciences Jurnal Ilmiah Teknik Industri International Journal of Artificial Intelligence Research Jurnal Sistem dan Manajemen Industri Jurnal Ekonomi & Keuangan Islam Journal of Dedicators Community Jurnal Kridatama Sains dan Teknologi Buletin Ilmiah Sarjana Teknik Elektro Journal of Applied Data Sciences Advance Sustainable Science, Engineering and Technology (ASSET) Spektrum Industri
Qurtubi Qurtubi, Qurtubi
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Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Transportation

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Journal : International Journal of Artificial Intelligence Research

 1 
Identifying Improvement Strategic from User Application Reviews Group Using K-Means Clustering and TF-IDF Weighting Istiqomah, Khairunnisa Nurul; Widodo, Imam Djati; Mufid, Nisrina Faiza; Qurtubi, Qurtubi
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i2.1062

Abstract

PT ABC is one of the companies that provide online ticket-purchasing facilities amidst the rise of the digitalization era. So, companies need to see how application users complain as a form of evaluation and improvement. The rating results given by application users show a score of 3.3 from 172,000 reviews. The review results that will be examined are user reviews from January 2022 to April 1, 2023, which is more or less the last year of user comments. This research aims to form a review group using K-Means Clustering, the Elbow method, TF-IDF weighting, and analysis of review improvement strategies. The Elbow method is used to determine the optimal number of clusters so as not just to use assumptions. The success of the Elbow method in processing categorical data can be supported by assigning weights based on word frequency sequences using TF-IDF. The research analysis results show the formation of 4 clusters, with two tending to have negative sentiment, one neutral sentiment, and one positive sentiment. Mapping is carried out on each cluster to find out the characteristics of each cluster and possible causes of reviews, as well as providing solutions and strategies as a form of improvement. The problem of negative reviews appearing in each review group is different. It can be corrected with the proposed strategies, such as improving the appearance of features at the registration, ordering, and payment stages, adding payment methods, and carrying out regular system maintenance.
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
A Proposed Framework for ERP System Implementation in SMEs Setiawan, Danang; Fahrezha, Muhammad; Prakoso, Nur Abdillah Bagus; 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.v7i2.1102

Abstract

SMEs face numerous challenges and opportunities due to their pivotal roles in the economic development of a country. Adopting an ERP system is believed to be the catalyst to cope with the challenges and grab the opportunities faced by SMEs. However, implementing ERP led to potential risks caused by implementation failure, even for big companies. SMEs have a unique characteristic due to being receptive to adopting new technologies but having limited resources. Most previous research related to designing frameworks for ERP implementation was focused on big companies, although the fact that SMEs have distinct characteristics compared to big companies. Therefore, this study aims to design a framework for SMEs' ERP implementation. The framework phase consists of (1) measuring the business maturity, information communication and technology (ICT) maturity, proposed business process improvement, and (2) implementing an ERP system. The author has also provided a case study of ERP adoption in an SME in this paper by compiling both steps. This research will contribute to research on ERP in SMEs and practice as guidance for ERP implementors and SMEs in adopting the ERP system
Co-Authors 'Azzam, Abdullah Alfiyani, Lisa Ali Parkhan Bachtiar, Machdum Danang Setiawan Elquthb, Jundi Nourfateha Fadlika, Raka Shidqi Fahrezha, Muhammad Faisol, Nasruddin Fatmariyanti, Yanti Febrianti, Melinska Ayu Firdantara, Zahra Nasywari Haswika, Haswika Iftitah, Nur Istiqomah, Khairunnisa Nurul Joko Sulistio, Joko Khairullah, Rafi Maghfiroh, Meilinda F.N. Mahardiningtyas, Syafira Maradjabessy, Prita Nurkhalisa Mufid, Nisrina Faiza Prakoso, Nur Abdillah Bagus Rachmadewi, Ira Promasanti Raihanto, Muhammad Satya Solekha, Putri Jasmine Sugarindra, Muchamad Supriyadi Supriyadi Trisnaningtias, Dicka Meilana Vembri Noor Helia, Vembri Noor Wahyudhi Sutrisno, Wahyudhi Widodo, Imam Djati Yanti, Roaida Yudhanata, Muhammad Fadhila Zaputra, Afriza Syawal