Publication Search

The rapid expansion of e-commerce in Indonesia has resulted in a significant rise in the number of customer reviews, which serve as a valuable source of insight for understanding consumer satisfaction. This study aims to classify or identify sentiments from product reviews on the Tokopedia platform into three categories, using the Support Vector Machine algorithm. The classification method data were ethically collected through web scraping and include review text, ratings, and the number of “likes.”  The preprocessing stage involved several NLP techniques such as pre-procesesing data representation was generated using the Term Frequency–Inverse Document Frequency method, while the issue of class imbalance was addressed using the Synthetic Minority Over-sampling Technique.  Based on the test results, the SVM model achieved an accuracy of 79.48% on the test data using a linear kernel, showing the best performance in classifying positive sentiments. However, the classification of neutral and negative sentiments still requires improvement. This study demonstrates that the combination of the TF-IDF method, additional numerical features, and data balancing techniques can produce an an efficient sentiment analysis model within the e-commerce domain.

Drug abuse (Narcotics, Psychotropics, and other Addictive Substances) is a serious problem that can threaten the younger generation, especially in the Panggung Kidul Village area. The lack of public understanding, especially teenagers, regarding the dangers and negative impacts of drug abuse is one of the factors that influence the high risk of substance abuse. Therefore, innovative and interactive educational media are needed to increase public awareness and understanding regarding the prevention of drug abuse. This study offers a solution by designing and developing educational media based on Augmented Reality (AR) technology as a visual and interactive tool that conveys information in an interesting and easy-to-understand manner. The use of smartphones as the main device in AR applications makes this media more easily accessible to various groups of people. The test results using the System Usability Scale (SUS) method showed a user satisfaction level of 96% which is included in the Acceptable category. Thus, this AR-based educational media is expected to be an effective means of increasing public understanding of the dangers of drug abuse and encouraging early preventive efforts.

The digital revolution has transformed retail industry into a new era full of opportunities through e-commerce but also presenting challenges in online furniture sales. Due to their inability to precisely measure and see furniture in their spaces, many customers are hesitant to make purchases. Augmented Reality (AR) offers solutions through realistic visualizations, but it’s costly and has a lot of accessibility problems. WebAR solves these issues by delivering AR features directly on mobile browsers without requiring additional apps. This study investigates the impact of WebAR innovation on e-commerce furniture by examining the roles of interactivity (IN), vividness (VI), augmentation (AU), customization (CT), and ease of access (EA) on purchase intention (PI), mediated by spatial presence (SP), decision comfort (DC), and satisfaction (SF). Using the Stimulus-Organism-Response (SOR) model, data from 100 respondents were analyzed with the PLS-SEM algorithm using SmartPLS 4.0. The findings tell us that WebAR significantly enhances consumers’s shopping experience and ultimately boosts purchase intention.

Information systems can be technically defined as a set of interconnected components designed to support decision-making and drive organizational operations. PT Asuransi Takaful Keluarga utilizes an information system in the form of the Takaful eCard mobile application, which facilitates registration and access to outpatient and inpatient insurance services at partner hospitals. Over time, several usability issues have emerged related to the application's user interface (UI) and user experience (UX). To evaluate user satisfaction and comfort levels, usability testing was conducted using the Heuristic Evaluation method. This method assesses UI design flaws based on 10 established usability principles. The evaluation revealed design issues in (H2) question Q6, (H3) question Q7, and (H10) questions Q27 and Q28. These issues are primarily related to the absence of new feature additions, ineffective message dialog boxes, and the lack of a user guidance module. The findings highlight the need for UI/UX improvements to enhance user interaction with the Takaful eCard application.

PT Astra International BMW Semarang is a company operating in the automotive sector with 3 supporting pillars, namely Sales, Aftersales and Spare Parts for BMW car units. The availability of spare parts is one of the determining factors for consumer satisfaction with the company because if the spare parts stock is empty it will cause consumer disappointment with the company. By using spare parts sales transaction data for the period January 2019 – June 2023, totaling 52,162, it will be utilized using data mining association techniques with the a priori algorithm and the eclat algorithm. The problem in this research is how to find out consumer purchasing patterns so that there is no shortage or empty stock of spare parts in the warehouse. This research aims to determine the association of spare parts purchasing patterns in sales transactions so that partman get recommendations in making decisions about providing priority types of spare parts. This research methodology uses CRISP-DM (Cross-Industry Standard Process for Data Mining) and is implemented with the R programming language with R studio software. In 3 trials using the Apriori algorithm and 3 trials with the Eclat algorithm, The result with the highest confidence appears in a combination of 3 itemsets with minimum support 0.01 and confidence 0.9, namely if a customer buys B11.42.8.593.186 (Set oil-filter Mx) and B83.12.5.A1A.683 (Washer Cleaner) then they will also buy Z99000000333 ( BMW Engine Oil) with confidence 1.00 or 100%. From the results of this association's analysis, it can be used as advice for the management of PT Astra International BMW Semarang in managing spare parts stock.

This study examines the role of Artificial Intelligence (AI) in marketing strategy through a Systematic Literature Review (SLR) approach. AI has shown a transformative impact by outperforming traditional methods, especially in optimizing big data-based marketing strategies. With the ability to analyze consumer behavior in depth, AI enables businesses to personalize marketing efforts and improve user experiences more efficiently and responsively. However, challenges such as data privacy, high initial investment, and reliance on data quality remain major concerns that must be addressed. This study also evaluates the effectiveness of using AI across marketing channels, which shows significant differences in their impact on business strategy. In addition, the integration of AI-based fitness equipment is considered to have a major contribution in increasing consumer satisfaction while driving online business growth. The results of this study provide valuable insights into the effective implementation of AI, as well as highlight the importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.

SION (Sistem Informasi Online) ITB STIKOM Bali is a platform used by students and lecturers to support administrative and academic processes on campus. This research examines how the user experience (UX) level of SION can enhance the quality of services provided by the system. The purpose of this study is to measure user satisfaction with the user experience quality. The study uses the User Experience Questionnaire (UEQ) method, which includes six rating scales: attractiveness, clarity, efficiency, accuracy, stimulation, and novelty. The UEQ method also offers analytic tools that can be downloaded from its official website. Respondents in this study consisted of 75 people from a population of 248. The results of the UEQ analysis show positive evaluations across all aspects, with the following detailed scores: attractiveness received a score of 1.37, perspicuity 1.34, efficiency 1.16, dependability 1.21, stimulation 1.16, and novelty 0.87.

PT Astra International BMW Semarang operates in the automotive sector, focusing on sales, aftersales, and spare parts for BMW cars. The availability of spare parts is crucial for customer satisfaction, as stock shortages can lead to disappointment. Using data from 52,162 spare parts sales transactions from January 2019 to June 2023, the study applies data mining techniques with the a priori and eclat algorithms to identify consumer purchasing patterns and prevent stock shortages. The research aims to provide recommendations for prioritizing spare parts stock. Utilizing the CRISP-DM methodology and R programming, the study found that the highest confidence in purchasing patterns occurs with a combination of three itemsets: if a customer buys an oil filter set (B11.42.8.593.186) and washer cleaner (B83.12.5.A1A.683), they will also buy BMW engine oil (Z99000000333) with 100% confidence. These findings can help PT Astra International BMW Semarang manage spare parts stock more effectively.

The study titled "The Influence of System and Service Quality on User Satisfaction of Silalapbaja Website" aims to evaluate the impact of each independent variable on the dependent variable. There were 51 respondents involved in this research, with data analysis conducted using SPSS version 25. The results indicate that System and Service Quality significantly influence User Satisfaction, as evidenced by the significant value of Fhitung = 0.000 < 0.05. From the t-test, System and Service Quality variables partially affect User Satisfaction, while Information Quality does not have a significant partial effect. For instance, the significant values of thitung X1 = 0.000 < 0.05 and X3 = 0.49 < 0.05, whereas X2 = 0.094 > 0.05. The variables that significantly influence are System Quality with a Standardized Coefficients Beta of 0.552 and Service Quality of 0.220. Based on the research findings, it can be concluded that System, Information, and Service Quality contribute to 59% of User Satisfaction, while other factors beyond this study affect 41%. Therefore, it is recommended for the developers of the Silalapbaja Website to prioritize improvements in System and Service Quality to enhance User Satisfaction.

The background of this research is the lack of interest of Dhyana Pura University Informatics Engineering Study Program students in visiting the library. This shows the need for a new innovation in the library that can increase the attractiveness of students to visit the library more often. The purpose of this study was to implement augmented reality with the Android-based marker-based tracking method in the search system for reference books for IT courses in the UNDHIRA library, to find out the results of the analysis of the level of user convenience and satisfaction in using the application, as well as to find out the results of a comparison of the level of interest in student visits to the library before and after system implementation. This research is a quantitative study; the data was collected using a questionnaire technique on 54 application users. The results showed that the usability of the application was 87.41% or could be classified as "very good." The results of the Kano model test show that the attributes of the application are very satisfying to users, with the majority of the attributes in the application being included in the attractive category. The results of a comparative analysis of the interest level of student visits to the library before and after system implementation showed that 49 out of 54 students stated that the application could increase their interest in visiting the library. So based on these results, this application can increase the interest of IT students in visiting the library.

E-commerce competition in Indonesia makes e-commerce companies compete to develop strategies to win the competition. Customer loyalty is an important factor to lead in the competition. This research focuses on how much influence website service quality has on customer loyalty. This research is also to find out which website quality factors have the most influence on customer loyalty with customer satisfaction as a mediating factor. The factors that influence e-commerce customer loyalty are analyzed using concepts including the dimensions of service quality consisting of (physical evidence, reliability, responsiveness, assurance, empathy) and Corporate Image as the variable that influences and Customer Satisfaction as the variable that is affected. The sample in this study were 96 respondents. With the sampling method using the purposive sampling method. The results obtained that there is a positive and significant influence between the dimensions of service quality and company image on customer satisfaction.  Keywords: E-commerce website, Service Interaction Quality, Customer Satisfaction