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The Impact of Chatbots on Customer Satisfaction: A Systematic Literature Review

Author(s): Alfredo Daza,Wilfredo Fabriccio Peralta Robles,Jahaira Arely Salazar Jiménez / Language(s): English / Issue: 3/2023

Keywords: Chatbots technology; systematic review, loyalty; satisfaction

The main objective of this article is to distinguish the impact of chatbots technology on customer needs. A systematic literature review was conducted to determine aspects such as: Studies exist of chatbots, type of chatbots, benefits and countries that used this technology. For this, 34 articles were carried out and analysing the documentation. Among the results obtained are the following that chatbots are applied in Information and Communication Technologies , the most use chatbots are textual, as the benefits are that it solves queries or doubts, and the country that is most used is the United States.

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Creative Leadership in Entrepreneuring People With Special Abilities

Author(s): Nor KHOLIS,Ah. Ali Arifin / Language(s): English / Issue: 3/2023

Keywords: Creative leadership; economy; entrepreneurship; people with special abilities

During the 2020 COVID-19 pandemic, Indonesia experienced a significant decline in domestic economic growth, with a 2.97% drop in the first quarter and 5.32% in the second quarter. The pandemic has also resulted in a sharp decline in the community economy, especially for people with special abilities (PwSAs), namely those with apparent physical limitations and intellectual disabilities. To alleviate the economic pressure faced by PwSAs, it is crucial to foster their entrepreneurial spirit and skills through creative leadership. This paper portrays the visionary leadership of a village head in Indonesia in empowering and improving PwSAs’ economy through entrepreneurial activities. The research data was collected by observing the daily lives of PwSAs, interviews, and focus group discussions (FGD) with PwSAs and village officials. The study results show that the village head used different approaches for developing the entrepreneurship spirit and skills of PwSAs through training, skills guidance, and craft innovation before and during the pandemic. The programs implemented have increased the PwSAs’ economic level, reducing the number of poor people. This village head is clear evidence of the application of creative leadership in entrepreneurship with all his patience and empathy during the COVID-19 pandemic, which was finally able to solve complex problems faced by the PwSAs.

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Non-Destructive Determination of Plant Pigments Based on Mobile Phone Data

Author(s): Miroslav Vasilev,Vanya Stoykova,Petya Veleva,Zlatin Zlatev / Language(s): English / Issue: 3/2023

Keywords: Visual analysis; spectral data; mobile phone video sensor; leaves coloration; carotenoids; chlorophyll content

This paper proposes methods and tools for determining plant pigments using data from a mobile phone video sensor. A disadvantage of the known studies in this field is that they are mainly aimed at determining the chlorophyll content. There are few studies related to the determination of pigments such as carotenoids, flavonoids, and betalains, which are also important in terms of determining the condition of plants in their cultivation. Cucumbers were chosen because the long periods of drought in Bulgaria, lead to losses in cultivating these plants. Vectors containing colour and spectral indices were used. These features are obtained through a video sensor on a mobile phone. The kernel method variant of principal components reduces them. Feature vectors are selected using factor analysis, correspondence analysis, and the correlation method. Predictive models have been developed to determine plant pigments. With high accuracy (over 90%), the pigments xanthophyll and chlorophyll A can be predicted.

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Enhancements to the Work Ability of a High-Speed Motor Used in Machine Tools

Author(s): Wawan Purwanto,Yusuf Dewantoro Herlambang,Kristine Mae Paboreal Dunque,Firoj Mulani,Dwi Sudarno Putra,Martias Martias / Language(s): English / Issue: 3/2023

Keywords: Efficiency; machine tools; maximum torque; rotor; stator

This paper presents a strategy for maximizing the effectiveness of high-speed spindle motors in manufacturing equipment. Using the ideal design of the stator winding geometry, as calculated by the Taguchi method, we were able to increase the maximum torque and efficiency. The rotor slot geometry was optimized using a response surface to raise the starting torque and reduce the starting current. The objectives of this investigation were to come up with a strategy for designing high-speed spindle motors so that they have better performance in terms of starting torque, maximum torque, efficiency, and starting current. Spindle motor temperature rise was the focus of the thermal measurements. Finally, a working spindle motor prototype was built and tested to verify the results of the Finite element analysis (FEA). The validity of the suggested model is demonstrated by a comparison between experimental measurements and finite element findings. The total percentage of mistakes was close to 2%.

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Development of Multicultural Education: Tasks, Tools and Project Solutions

Author(s): Liudmyla Ovsiienko,Lyudmyla Rakityanska,Olena Kulyk,Lyudmila Pet'ko,Ganna Turchynova,Tetiana Zavadska / Language(s): English / Issue: 3/2023

Keywords: Multicultural education; educational innovations; development program, models of educational development

The methodological model of multicultural education in the country has been developed and substantiated in the article, which is able to ensure timely identification of current problems of multicultural education and innovative ideas for their solution, planning, and implementation of effective measures for the development of multicultural education in accordance with existing objective needs and opportunities. The study was carried out due to the fact that global factors of population formation create a multicultural environment, which forms the conditions of multicultural education. The study suggests that achieving the goals of multicultural education should be through a synthesis of educational principles, methodology, tools of system-targeted approach to management and activity approach to building personality-oriented education, and ensuring the integration of management resources at regional, municipal, and educational institutions.

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Developing Air Traffic Control Simulator for Laboratory

Author(s): Dimas Arya Soeadyfa Fridyatama,Suparji Suparji,Meini Sondang Sumbawati / Language(s): English / Issue: 3/2023

Keywords: Aerodrome control tower simulator; computer-based; ATC simulator training; advanced technology development; ATC simulator laboratory

The widely-used ATC simulator laboratory in air traffic control education lacks research on its development. This study aims to develop a computer-based aerodrome control tower simulator for ATC using the research and development method. The simulator offers a realistic training environment, covering simulation, technicalities, facilities, configuration, equipment, specifications, software, operations, and development. It is a crucial facility in ATC courses at Indonesian aviation universities. Findings demonstrate its effectiveness in enhancing student proficiency and reducing reliance on external suppliers. The resulting design concept, developed through research and development, can be utilized by local experts to promote advanced technology mastery and cost efficiency in ATC training systems. It provides opportunities for local experts and serves as a model for other countries, advancing ATC education.

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Process Modeling for Crisis Management

Author(s): Josef Myslin,Martin Hrinko,Kamila Vendula Muziková,Petra Rajlová / Language(s): English / Issue: 3/2023

Keywords: Business process; process modeling; crisis management; crisis state

Crisis management is one form of management. It is applied in situations that we refer to as crisis. A crisis is a stressful situation for all interested parties, in which there is a greater or lesser threat to the values and assets. Coping with a crisis situation depends on many factors, while preparation is absolutely necessary, which must be done at a time when there is no crisis and ideally there is no threat. This preparation must also include the definition of crisis processes, i.e. the description of the behavior of each subject. At the time of crisis activation, everyone must know what rights and obligations they have and how they should fulfill these tasks. For the definition and description of these processes, it is possible to use proven means of process modeling, which have been used for a long time in many fields of human activity. An appropriately described process model, or a complex process map, can then be the optimal source of information for all entities.

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An Empirical Analysis of Predictors of AI-Powered Design Tool Adoption

Author(s): Nguyen Thi Hong Chuyen,Nguyen The Vinh / Language(s): English / Issue: 3/2023

Keywords: SEM; AI-powered design tools; UTAUT; factor analysis; empirical analysis

This study examined the relationships among the dimensions of Unified Theory of Acceptance and Use of Technology (UTAUT) and external variables in the context of using artificial intelligence (AI)-powered tools for lecture design. After four months of utilizing the tools, 208 participants took the survey via Google Form. The structural equation model was utilized to analyze the obtained responses. Findings showed that performance expectancy, effort expectancy, social influence, and availability/accessibility are reliable predictors of users' intentions to utilize AI-powered design tools. However, the effects of facilitating conditions and trust and confidence are insignificant. The proposed conceptual model accounted for 54.6% of the data variation. This study provides designers and developers of AI-powered design tools with theoretical and practical implications that can enhance the practical adoption and utilization of these tools.

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Acoustic Vehicle Classification Using Mel-Frequency Features with Long Short-Term Memory Neural Networks

Author(s): Ahmad Ihsan Yassin,Khairul Khaizi Mohd Shariff,Mustapha Awang Kechik,Adli Md Ali,Megat Syahirul Megat Amin / Language(s): English / Issue: 3/2023

Keywords: Acoustic vehicle classification; long short-term memory (LSTM); acoustic traffic noise; mel-cepstral frequency features (MFCC); Machine learning

Monitoring vehicle traffic at a large scale is a challenging task for authorities, particularly considering the high cost of traffic sensors such as vision cameras. To meet the growing demand for more accurate traffic monitoring, the use of traffic sounds has become a popular approach, as it provides insight into the types of traffic present. This paper reports on an approach to vehicle classification based on acoustic signals, using the Mel-Frequency Cepstral Coefficients (MFCC) and the Long Short-Term Memory (LSTM) networks. This study exhibited classification accuracy scores of 82-86.2% across four vehicle categories: motorcycle, car, truck, and no traffic. The results demonstrated that large-scale, low-cost acoustic processing can be effectively used for vehicle monitoring.

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Application of Polynomial Models in Bayesian Fusion of Humidity Sensors

Author(s): Plamen Nikovski,Nikolay Doychinov / Language(s): English / Issue: 3/2023

Keywords: humidity; sensor fusion; bias; Kalman; polynomial; model

Local polynomial trend models are a special class of state-space models that can be used without having the full information about the process under study, since most of their parameters are embodied in the state vector and estimated immediately. This makes them attractive for use in signal processing. The present work considers problems that arise when using a polynomial model with a local quadratic trend for Bayesian fusion of two humidity sensors. The unknown sensor biases make it impossible for the model to satisfy the observability conditions. There is currently no general solution to this problem. To overcome this difficulty, an approach is presented where the humidity measurement result implicitly includes the bias of one of the sensors. The results of the study can be used to fuse quantities other than humidity when two or more sensors are available.

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Utilizing Virtual Laboratory to Improve CNC Distance Learning of Vocational Students at Higher Education

Author(s): Febri Prasetya,Budi Syahri,Bayu Rahmadhani Fajri,Rizky Ema Wulansari,Aprilla Fortuna / Language(s): English / Issue: 3/2023

Keywords: Virtual laboratory; CNC programming; learning media; distance learning

This research develops learning materials for Computer Numerical Control (CNC) programming courses based on virtual reality technology. The impact of the Covid-19 pandemic on social activities, one of which is the educational aspect, has changed the learning pattern to a massive one where the learning process that should be carried out face-to-face, but now must carry out distance learning. Therefore, alternative learning media is needed to support the practicum process from a distance by utilizing virtual reality technology that is simulated using digital devices. The Software engineering models, namely: requirements, design, implementation, verification, and maintenance phases are the five primary stages used in this study, which uses the waterfall development model research method. The feasible of the virtual laboratory obtained the results of material validation, learning media, and small group trials of 12 diploma students of Mechanical Engineering at Universitas Negeri Padang. The findings of the study found that small group trials in CNC virtual laboratory can be successfully utilized in CNC programming courses. This research is expected to have implications for improving learning outcomes in CNC programming courses by using virtual laboratory technology in creating a conducive and quality learning atmosphere, so that the learning material provided can be accepted by students.

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Model to Estimate Determinants of an Area Harvested in Cocoa Production Systems

Author(s): Alberto Ducuara Manrique,Armando Torrente Trujillo,Cristian José Arias Barrera / Language(s): English / Issue: 3/2023

Keywords: Cocoa; determinants; harvested area; sustainability; cultural practices

The stakeholders of the cocoa sector should be introduced with determinants that influence an area of cocoa harvest. Objective of the study is to identify the determinants of a harvested area in small cocoa production units in Huila. A correlational method, cross section, and quantitative approach was used with data from the last National agricultural census. Results of the study revealed that major area does not use credit, advice and irrigation increase the area while the organic fertilization is positive. Those displaced by violence have less harvest area and the primary and secondary sectors are positively associated with an increase in area. It can be concluded that the determinants of harvested area identified in this study exhibit a low management behavior in the agronomic practices of cocoa producers that limit the expansion of the harvested area in Huila. This aspect affects the medium and long-term economic sustainability of this agricultural activity. Therefore, continuous training and education of the producers are essential in order to improve this problematic situation.

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Prediction Analysis of Laboratory Equipment Depreciation Using Supervised Learning Methods

Author(s): Geovanne Farell,Nizwardi Jalinus,Asmar Yulastri,Sandi Rahmadika,Rido Wahyudi / Language(s): English / Issue: 3/2023

Keywords: Machine learning; supervised learning; linear regression; laboratory equipment

Asset management in Indonesia still poses problems in terms of securing state-owned property. These concerns make it difficult for analysts to predict laboratory equipment depreciation. Therefore, this research aims to create a new model to address this issue. Additionally, to support laboratory managers in gaining insights, a technology-based framework in the form of a laboratory equipment depreciation prediction model has been developed. A new model has been created in this research, which integrates supervised learning models with linear regression algorithms, and subsequently employs a waterfall system development approach. The testing results of the model for predicting laboratory equipment depreciation showed a high level of accuracy, reaching 93%. Furthermore, the comparison between the prediction model and the laboratory equipment data tested directly by technicians demonstrated an accuracy rate of 100%. Finally, the numerical results demonstrate that our framework provides a valuable solution to the difficulties in predicting laboratory equipment depreciation, offering an innovative and practical approach to laboratory equipment maintenance.

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The List Length Effect and Immediate Free Recall of Visually Displayed Information in Various Forms

Author(s): Petr Bartoš,Mikuláš Gangur / Language(s): English / Issue: 3/2023

Keywords: Serial position effect; user experience; memory; free recall; list length effect

This paper investigated four main phenomena connected with the free immediate recall and visual representation of the information: list-length effect, serial position effect, horizontal versus vertical presentation of the information, expression of the information in the form of the symbol, text, and symbol with text. The number of examined respondents was 4140. The experiment revealed a different memory recall of various forms of visually displayed information and studied a dependency of list length effect on primacy and recency effect. The results showed that people recall better the combination of symbols and text than only text or symbols. The other finding indicated a significant difference between the number of recalled items in the tests of 5, 7, and 9 items. The respondents recalled the highest number of items in 5-item tests and the lowest number in 9-item tests. There was investigated that the proportions of the respondents recalling the items from the beginning is higher than those of the respondents recalling the items from the end. The results showed that the primacy effect was higher than the recency effect regardless of the list length (5, 7, or 9 items tests). This article's findings should help design visually optimized websites and applications.

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Android-Based Application for Real-Time Indonesian Sign Language Recognition Using Convolutional Neural Network

Author(s): Raymond Sutjiadi / Language(s): English / Issue: 3/2023

Keywords: Machine learning; convolutional neural network; MobileNetV3; sign language; BISINDO

Individuals with hearing or speech impairments face challenges in communicating with others, requiring special techniques to express their thoughts and feelings. Sign language is an alternative way to communicate using a specific pattern of hand gestures to deliver messages instead of verbal speaking (oral communication). Unfortunately, most people do not know how to use and read sign language. Because of its complexity and many types of sign language worldwide, only well-trained personnel could use it as a communication medium. This research provides a solution in the form of a machine-learning Android-based application designed to recognize sign language captured by a smartphone camera and translate it into Latin characters. The recognition accommodates Convolutional Neural Network (CNN), one of the popular deep learning algorithms. This application recognizes 26 characters of Indonesian Sign Language (Bahasa Isyarat Indonesia/BISINDO) alphabets using MobileNetV3 architecture. To build the data model, dataset images were collected from 5 different models demonstrating 26 BISINDO characters in various lighting, background, and hand gesture position. These dataset images were also generated using image augmentation process to achieve the randomness by adjusting the image rotation, noise, and brightness. Based on the testing result using 6,240 dataset images, the application has 75.38% accuracy in recognizing Indonesian Sign Language alphabets.

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Identifying and Analyzing Reduplication Multiword Expressions in Hindi Text Using Machine Learning

Author(s): Atul Mishra,Alok Mishra / Language(s): English / Issue: 3/2023

Keywords: Linguistic patterns; natural language processing; computational linguistics; statistical data; threshold boundary detection

The task of identifying and analyzing Reduplication Multiword Expressions (RMWEs) in Natural Language Processing (NLP) involves extracting repeated words from various text forms and classifying them into Onomatopoeic, non-Onomatopoeic, partial, or semantic types. With the increasing use of low-resource languages in news, opinions, comments, hashtags, reviews, posts, and journals, this study proposes a machine learning-based RMWE identification method for Hindi text. The method employs linguistic patterns and statistical data, along with a proposed threshold boundary detection in statistical filtering. The Jaccard distance of dissimilarity and Sorensen Dice Coefficient of Similarity are used for semantic relation analysis. The proposed approach was evaluated using the publicly available Hindi corpus from IITB, measuring performance between two consecutive thresholds with the lowest error and highest recall. This study proposes an effective method for Indian computational linguistics, with experimental results highlighting its viability and utility, and providing a blueprint for current procedures.

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Deep Learning With Processing Algorithms for Forecasting Tourist Arrivals

Author(s): Harun Mukhtar,Muhammad Akmal Remli,Khairul Nizar Syazwan Wan Salihin Wong,Mohd Saberi Mohamad / Language(s): English / Issue: 3/2023

Keywords: Deep learning (DL); tourism arrivals; long short-time memory (LSTM); HHT; Google trends (GT); data

The DL (Deep Learning) method is the standard for forecasting tourist arrivals. This method provides very good forecasting results but needs improvement if the data is small. Statistical data from the BPS (Central Bureau of Statistics) needs to be corrected, resulting in forecasts that tend to be invalid. This study uses statistical data and GT (Google Trends) as a solution so that the data is sufficient. GT data has a lot of noise because there is a shift between web searches and departures. This difference will produce noise that needs to be cleaned. We use monthly data from January 2008 to December 2021 from BPS sources combined with GT. Hilbert-Huang Transform (HHT) is proposed to clean data from various disturbances. The DL used in this study is long short-time memory (LSTM) and was evaluated using the root mean squared error RMSE and mean absolute percentage error (MAPE). The evaluation results show that the HHT-LSTM results are better than without data cleaning.

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Extracting Insights From Competitor's Mistakes: A Sentiment Analysis Approach Using Competitive set Online Reviews

Author(s): Stepan Chalupa,Martin Petricek,Karel Chadt / Language(s): English / Issue: 3/2023

Keywords: Sentiment analysis; online reputation; user-generated content analysis; competitiveness; market competition

Sentiment analysis was used to understand the key aspects of the hotel quest stay with emphasis on the drivers of positive/negative experience. Other studies evaluated the impact of the online reputation on the business performance but the minority of the studies focused on the use of online reputation analysis within the competitive strategy creation. This study uses an open-source tool to crawl and analyze 15 907 online reviews from Booking.com, TripAdvisor.com, and Google.com for selected company and its competitors. The results show strength and weaknesses of individual companies that might be used to strengthen the company’s position of the market.

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Intrinsic Motivations of Airbnb Hosts from the Perspective of Millennial Guests in Lima – Peru

Author(s): Yajaira Paulina Navarro-Mendoza,Rosse Marie Esparza-Huamanchumo,Ricardo David Hernández-Rojas / Language(s): English / Issue: 3/2023

Keywords: Online travel communities (OTC); sharing accommodation; Airbnb host; intrinsic motivations; millennial tourist

This study aims to analyze the host’s intrinsic motivations of the sharing accommodation Airbnb in the Miraflores district – Lima, from the perspective of millennial guests. Lima, capital of Peru, was selected since the economy of the city is based on a large part of visitors and tourists who enjoy its cultural, natural, gastronomic attractions and modern life. For this research, a qualitative approach was used, through content analysis, such as 258 reviews left by guests of the millennial segment who spent at least one night in the sharing accommodations of Miraflores district Airbnb’s hosts were analyzed. The collected information were processed by the Atlas.ti software where three main intrinsic motivations were identified: Altruism, Social Interaction and Cultural Capital. It is worth mentioning that disseminating and communicating messages related to the intrinsic motivations of the host is key for sharing accommodations, such as Airbnb. It allows us to understand how to attract new hosts, potential sharing accommodation entrepreneurs.Also, it promotes that current guests become hosts, and thus maintain the economic stability and growth of this business model.

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Exploring the Full Potential of Collaborative Learning and E-Learning Environments in Universities: A Systematic Review

Author(s): Wagino Wagino,Hasan Maksum,Wawan Purwanto,Krismadinata Krismadinata,Suhendar Suhendar,Rahmat Desman Koto / Language(s): English / Issue: 3/2023

Keywords: Collaborative learning; e-learning; universities; MOOC; TVET; learning management system

This systematic review examines the challenges and potential solutions to improve the implementation of collaborative learning and e-learning environments in universities. The article analyzes 200 relevant articles published between 2014-2022 using a qualitative approach to identify themes and sub-themes related to collaborative learning and e-learning environments. The study reveals various learning methods employed, including MOOC (Massive Open Online Course), digital mind maps, and tripartite learning, but also highlights challenges such as lack of digital infrastructure, low-quality internet networks, and inadequate practical tools. The research emphasizes the need for effective leadership and management in vocational institutions and recommends further research on curriculum development, learning evaluation methods, lecturer performance assessment, and improving digital infrastructure and educator training. Collaboration with industry and other training institutions is also suggested to improve students' employability and entrepreneurship skills.

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