Increase User Satisfaction Research Articles

Elisitasi Kebutuhan Untuk Meningkatkan Kepuasan Pengguna Pada Sistem E-Learning Universitas Muhammadiyah Malang

In recent years the use of information systems has changed very dramatically. Currently, many information systems are developed for various types of users. These various kinds of users have different characteristics, which makes it very difficult for organizations developing information systems to know the needs of their users. For this reason, a good and in-depth need elicitation is needed to really know the user's needs. The purpose of this study is to explore the needs of users in the E-Learning system of the University of Muhammadiyah Malang to increase user satisfaction of the system. In this study, several elicitation methods were used, namely interviews, storytelling, user personas, and storyboards. The interview method is carried out to explore the problems experienced by users when using the system. Then the results of the interview will be processed into a narrative form of storytelling and then poured into a persona document. By using the above method, you can dig deeper to get a sharper solution to the problems experienced by users. The results of these four methods have proven to be effective in the need elicitation process because these four methods are interrelated and complement each other. This study resulted in a storyboard containing recommended solutions from the results of the excavation of needs carried out on users of the University of Muhammadiyah Malang E-Learning system

Serendipity in the city: User evaluations of urban recommender systems

AbstractThe contemporary city is increasingly being labeled as a smart city consisting of both physical and virtual spaces. This digital augmentation of urban life sets the scene for urban recommender systems to help citizens dealing with the abundance of digital information and corresponding choice overload, for example, by recommending the best place to have dinner based on your personal profile. There are, however, concerns that this kind of algorithmic filtering could lead to homogenization of urban experiences and a decline of social cohesion among citizens. To overcome this issue, scholars increasingly encourage the introduction of serendipity in all types of recommender systems. Nonetheless, it remains unclear how this can be achieved in practice. In this work, we study user evaluations of serendipity in urban recommender systems through a survey among 1,641 citizens. More specifically, we study which characteristics of recommended items contribute to serendipitous experiences and to what extent this increases user satisfaction and conversion. Our results align with findings in other application domains in the sense that there is a strong relation between the relevance and novelty of recommendations and the corresponding experienced serendipity. Moreover, serendipitous recommendations are found to increase the chance of users following up on these recommendations.

Adoption of community monitoring improves common pool resource management across contexts

Pervasive overuse and degradation of common pool resources (CPRs) is a global concern. To sustainably manage CPRs, effective governance institutions are essential. A large literature has developed to describe the institutional design features employed by communities that successfully manage their CPRs. Yet, these designs remain far from universally adopted. We focus on one prominent institutional design feature, community monitoring, and ask whether nongovernmental organizations or governments can facilitate its adoption and whether adoption of monitoring affects CPR use. To answer these questions, we implemented randomized controlled trials in six countries. The harmonized trials randomly assigned the introduction of community monitoring to 400 communities, with data collection in an additional 347 control communities. Most of the 400 communities adopted regular monitoring practices over the course of a year. In a meta-analysis of the experimental results from the six sites, we find that the community monitoring reduced CPR use and increased user satisfaction and knowledge by modest amounts. Our findings demonstrate that community monitoring can improve CPR management in disparate contexts, even when monitoring is externally initiated rather than homegrown. These findings provide guidance for the design of future programs and policies intended to develop monitoring capabilities in communities. Furthermore, our harmonized, multisite trial provides sustainability science with a new way to study the complexity of socioecological systems and builds generalizable insights about how to improve CPR management.

Privacy-Accuracy Consideration in Devices That Collect Sensor-Based Information.

Accurately tailored support such as advice or assistance can increase user satisfaction from interactions with smart devices; however, in order to achieve high accuracy, the device must obtain and exploit private user data and thus confidential user information might be jeopardized. We provide an analysis of this privacy–accuracy trade-off. We assume two positive correlations: a user’s utility from a device is positively correlated with the user’s privacy risk and also with the quality of the advice or assistance offered by the device. The extent of the privacy risk is unknown to the user. Thus, privacy concerned users might choose not to interact with devices they deem as unsafe. We suggest that at the first period of usage, the device should choose not to employ the full capability of its advice or assistance capabilities, since this may intimidate users from adopting it. Using three analytical propositions, we further offer an optimal policy for smart device exploitation of private data for the purpose of interactions with users.

Research on collaborative filtering based on user interest in the higher vocational e-commerce website development

E-commerce Recommender Systems suggest useful and interesting products to customers in order to increase user satisfaction and online conversion rates. They typically exploit explicit or implicit user feedback such as ratings, buying records or clickstream data and apply statistical methods to derive recommendations. Collaborative filtering is one of the most widely used approaches in recommender systems. However, the traditional collaborative filtering methods compute users’ similarities in the dimension of products, and they do not take the influence of neighbor users into consideration when computing such similarities. This paper focuses on explicitly formulated user requirements as the sole type of user feedback. The new collaborative filtering method based on user interests’ transmission. This method computes customers’ similarities in the dimension of interests, and takes the interests transmission between different customers into reflection. This method not only can cope with cold start problem and data sparse problem, but also have prediction precision.

Desain Antar Muka Aplikasi Wisata dan Transportasi Sebagai Media Promosi Pariwisata di Surakarta

Solo, a strategic city located on the axis of Central Java, is a city with high tourist and transit destinations because of its diverse tourism. This design uses the design thinking process method, starting from visual identity design, interface design to advertising design. While the data collection method used is a qualitative method in the form of observation, interviews, participatory and documentation analysis. Then for the design of the interface design using the principles of gestalt proximity and similarity. For the design of the ad design, it will use ambient media transit ads as a promotional medium. The result of the design is an online application platform in visual identity design, interface design, and advertising design for the application which is a platform that can help tourists in terms of accessing information and ordering tickets. And the results of the testing process can be used as an iterative process both in terms of application interface design or user experience in order to increase user satisfaction and application user effectiveness in accordance with community patterns in tourism.

Research on Status Monitoring and Fault Alarm Device of Drop-out Fuse

Drop-out fuse is a common circuit protection device. When a short fault occurs in the circuit, the fusion pipe will drop and the fuse will be disconnected, so as to isolate the fault line. However, in practical application, there is no reliable means and device for remote monitoring, resulting in the failure information can not be found in time. Although the traditional drop-out fuse alarm device can play the role of fault alarm. It has the disadvantages of large time difference and high cost. Based on this, a set of status monitoring and alarm device according to the drop characteristics of drop-out fuse after failure has been developed. The inclination and temperature of the fusion pipe are monitored by sensors in real time, and the data is sent to the master station through wireless communication. When a fault occurs, the operation and maintenance staff can be notified in time to repair the fault point. Through experimental demonstration, it can be concluded that the fuse status monitoring and fault alarm device has stable performance, convenient control and high cost performance. If it is applied to the distribution network, it can shorten the outage time, reduce economic losses and increase user satisfaction.

Pengaruh Perceived Value Terhadap Purchase Intention Digital Music Streaming Services Dengan Satisfaction Sebagai Variabel Intervening (Studi Pada Aplikasi Joox dan Spotify)

This study aims to analyze the effect of perceived value on the satisfaction of digital music streaming services Joox and Spotify applications and their effects on consumer purchase intentions. The variables used in this study are perceived value as an independent variable, then satisfaction as an intervening variable, and purchase intention of paid applications as the dependent variable. The number of samples in this study amounted to 133 respondents, namely users of digital music streaming services, especially the Joox and Spotify applications. The method used is non-probability sampling by distributing questionnaires to respondents. In this study, a theoretical model was developed by proposing five hypotheses to be tested using Structural Equation Modeling (SEM) analysis tools operated through the AMOS 24 program. The results of this study indicate that perceived value increases user satisfaction, which affects the purchase intention of paid applications.

Solar-shading systems designed to increase user satisfaction in public buildings, a case study of Britam Towers in Nairobi, Kenya

Solar-shading systems play various roles to the users of public buildings and may vary from user to user but some of the common user’s needs for these systems include; thermal comfort, energy-saving, daylight, and glare reduction. Understanding these needs can help Designers and Architects select from a wide array of Solar-Shading types and see which of them serves the needs of the users better. The Types of Solar-Shading Systems include either internal systems which are placed inside the building or can include external systems which are placed to the outside of buildings. To clearly understand the role Solar Shading Systems, play to satisfy Users’ needs, a case study of a Public Building in Nairobi, Kenya; Britam Towers, was selected. The case study found out that architects, designers, and developers play a preeminent role in coming up with projects that can better serve the User’s needs by creating designs that better suit the needs of the users have for using such Solar-Shading Systems. These designs may vary from building to building, region to region but the main withstanding factor to be noted is the functionality issue, as the Solar-Shading Systems should be able to meet the needs of users effectively and in turn, increase the user’s satisfaction.

Usability Evaluation of Hospital Information System According to Heuristic Evaluation

Introduction: There are various applications and health information systems which have been developed to promote the effective retrieval of patient information, statistics, research, and education. Therefore, there is a need to design them in consistency with scientific principles of usability. To this end, the usability of hospital information sub-systems employed at the hospitals of Ahvaz were compared using heuristic evaluation method. The objective of the study was to assess the usability of hospital information system according to heuristic evaluation.Material and Methods: Six trained evaluators, independently determined the ADT subsystem, HIM subsystem, and NIS according to Nielsen’s 10 Heuristic Principles. Since more than half of the hospitals (about 54%) employed Sib application, no specific sampling method was used. After combining the usability problems, the average severity ratings of the problems were calculated, and then the subsystems were compared.Results: The number of the usability problems of the ADT information subsystem, HIM subsystem, and NIS were 40, 39, and 37, respectively. After merging the problems, the features of “user control and freedom” with 20 cases and “flexibility and efficiency of use” with six cases had the highest and the lowest inconsistencies with usability principles. The average severity ratings of the problems also varied between 1.7 and 3.Conclusion: Heuristic evaluation method is regarded as one of the approaches appropriate to identify usability problems in health information systems. Thus, it is advisable to utilize this method to modify the design of the systems and to improve their efficiency before their implementation in order to increase user satisfaction.

Enhancing User Experiences with Cloud Computing via Improving Utilitarian and Hedonic Factors

This study provides insights into the initial and post-adoption of cloud computing services by integrating information technology adoption, social influence, trust, security, and information systems quality theories. Social influence, hedonicity, and automaticity are hedonic predictors of user satisfaction with cloud computing services. Perceived risks, trust in the provider, and system quality are utilitarian predictors of user satisfaction with cloud computing services. The Partial Least Squares (PLS) was employed to test eight hypotheses on the causal relationships between the variables. Six out of eight hypotheses were supported. Hedonic factors appear to have more influence than the utilitarian factor of increasing user satisfaction with cloud computing services in the school setting. The findings lead to both theoretical and practical implications for improving the initial and post-adoption of cloud computing services.

Modeling of Recommendation System Based on Emotional Information and Collaborative Filtering.

Emotion information represents a user’s current emotional state and can be used in a variety of applications, such as cultural content services that recommend music according to user emotional states and user emotion monitoring. To increase user satisfaction, recommendation methods must understand and reflect user characteristics and circumstances, such as individual preferences and emotions. However, most recommendation methods do not reflect such characteristics accurately and are unable to increase user satisfaction. In this paper, six human emotions (neutral, happy, sad, angry, surprised, and bored) are broadly defined to consider user speech emotion information and recommend matching content. The “genetic algorithms as a feature selection method” (GAFS) algorithm was used to classify normalized speech according to speech emotion information. We used a support vector machine (SVM) algorithm and selected an optimal kernel function for recognizing the six target emotions. Performance evaluation results for each kernel function revealed that the radial basis function (RBF) kernel function yielded the highest emotion recognition accuracy of 86.98%. Additionally, content data (images and music) were classified based on emotion information using factor analysis, correspondence analysis, and Euclidean distance. Finally, speech information that was classified based on emotions and emotion information that was recognized through a collaborative filtering technique were used to predict user emotional preferences and recommend content that matched user emotions in a mobile application.

IMPACT OF QUEUING DISCIPLINES ON THE PERFORMANCE OF MULTI-CLASS TRAFFIC IN A NETWORK

Network applications demand quality of service for enhanced call quality and increased user satisfaction. Hence, implementing queuing discipline at switches and routers in a network will govern the way packets are buffered while waiting for transmission. Queuing disciplines like first-in first-out (FIFO) queuing, priority queuing (PQ), weighted-fair queuing (WFQ), custom queuing and modified weighted round robin are more prominently deployed in network applications. These queuing disciplines help to control and manage network resources by fixing priorities for specific types of data on the network. The paper aims to analyze the quality of service parameters for various real time applications like File transfer protocol(FTP), email, database, Voice over IP(VOIP), video and web browsing,etc., and helps to optimise the use of available network resources. Moreover the quality of the network is compared using different QoS parameters such as end-to-end delay, throughput, jitter and Mean Opinion Score (MOS). This paper focuses on various queuing disciplines with low and high network traffic.

IMPACT OF QUEUING DISCIPLINES ON THE PERFORMANCE OF MULTI-CLASS TRAFFIC IN A NETWORK

Network applications demand quality of service for enhanced call quality and increased user satisfaction. Hence, implementing queuing discipline at switches and routers in a network will govern the way packets are buffered while waiting for transmission. Queuing disciplines like first-in first-out (FIFO) queuing, priority queuing (PQ), weighted-fair queuing (WFQ), custom queuing and modified weighted round robin are more prominently deployed in network applications. These queuing disciplines help to control and manage network resources by fixing priorities for specific types of data on the network. The paper aims to analyze the quality of service parameters for various real time applications like File transfer protocol(FTP), email, database, Voice over IP(VOIP), video and web browsing,etc., and helps to optimise the use of available network resources. Moreover the quality of the network is compared using different QoS parameters such as end-to-end delay, throughput, jitter and Mean Opinion Score (MOS). This paper focuses on various queuing disciplines with low and high network traffic.

Analysis of jejak bali virtual class using usability testing, including concurrent think aloud techniques and performance measurement techniques

Jejak Bali is a website created specifically by PUSTEKKOM to manage learning activities so Bali Provincial Education Office can carry out supervision and guidance for e-learning in Bali. Many obstacles were experienced by teachers and students when using Jejak Bali. It encouraged the design of a study looking at the usability of a system from a user perspective to increase user satisfaction. The methods used were usability testing technique, Concurrent Think Aloud, and Performance Measurement which measured the effectiveness, efficiency, and user satisfaction. The population of this study were teachers and students from SMAN 2 and SMKN 3 Denpasar. In measuring Performance Measurement and CTA, the sample used consisted of 40 participants including teachers and students as well as 86 users who used the questionnaire SUS. The results of the research were: (1) Jejak Bali, for teacher and student users, was still ineffective because there were still errors made while doing the assigned assignments, (2) Jejak Bali which was seen from the time when teacher and student users were working was still inefficient because of the differences of the significant time from the advanced group to the beginners, (3) Jejak Bali still did not meet user satisfaction as seen from the results of the SUS questionnaire recapitulation in which a teacher scored 49.0 and a student scored 48.3. Because the value obtained was below 60 in the percentile rank, so it can be concluded that Jejak Bali still did not meet usability good as seen from the results obtained.

Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences

Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization algorithms. The algorithms are a genetic algorithm (GA), implemented from the state of the art, and a non-dominated sorting genetic algorithm II (NSGA II) proposed in this paper; these algorithms control an air conditioning system considering user preferences. It is worth noting that we made several modifications to the objective function’s definition to make it more robust. The energy-saving optimization is essential to reduce CO2 emissions and economic costs; on the other hand, it is desirable for the user to feel comfortable, yet it will entail a higher energy consumption. Thus, we integrate user preferences with energy-saving on a single weighted function and a Pareto bi-objective problem to increase user satisfaction and decrease electrical energy consumption. To assess the experimentation, we constructed a simulator by training a backpropagation neural network with real data from a laboratory’s air conditioning system. According to the results, we conclude that NSGA II provides better results than the state of the art (GA) regarding user preferences and energy-saving.

Ethics-Based Auditing to Develop Trustworthy AI

A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue that ethics-based auditing can improve the quality of decision making, increase user satisfaction, unlock growth potential, enable law-making, and relieve human suffering. Second, we highlight current best practices to support the design and implementation of ethics-based auditing: To be feasible and effective, ethics-based auditing should take the form of a continuous and constructive process, approach ethical alignment from a system perspective, and be aligned with public policies and incentives for ethically desirable behaviour. Third, we identify and discuss the constraints associated with ethics-based auditing. Only by understanding and accounting for these constraints can ethics-based auditing facilitate ethical alignment of AI, while enabling society to reap the full economic and social benefits of automation.

Development of the RACI Model for Processes of the Closure Phase in Construction Programs

Recently, the construction industry has seen an increase in construction program level projects in which a number of projects are carried out simultaneously. These projects thus require more systematic management than traditional management methods due to both their complexity and the diverse stakeholders involved. When multiple projects overlap at the same time, it can create a gap between the contractor’s results and the user’s expectations at the closure phase of the construction program. These can include situations such as when handover is delayed, conflicts and frictions occur, and complaints from users mount. Therefore, an approach is needed to increase user satisfaction at the program level. This study presents a systematic closing management plan to increase user satisfaction for a smoother handover at the closure phase. The closure process was identified through case studies of activities in the closure phase. In addition, after identifying the stakeholder groups participating in the closure phase, responsibilities and roles were proposed as RACI (Responsible, Accountable, Consulted, and Informed) models by mapping the closure phase of processes and stakeholders. This model shows who is responsible and accountable for, consulted on, and informed about work processes in the closure phase of the program. From a user’s point of view, program closure signifies the beginning of operation and maintenance. We intend to contribute to the increase of user satisfaction by suggesting when and in what work activities the user will be involved in construction products from the user’s perspective.

PENGARUH DUKUNGAN ATASAN, KETERLIBATAN PENGGUNA SISTEM INFORMASI TERHADAP KEPUASAN PENGUNA SISTEM INFORMASI AKUNTANSI BERBASIS KOMPUTER PADA LEMBAGA PERKREDITAN DESA DI KECAMATAN KEDIRI TABANAN

Therphenomenon that occurs related to the financial institution in the villageplevel (LPD) in Bali, not many people want to accept and use IT-based information systems7, inmthencase of information system ITn-based today is a demand to support smooth operations. This3studylaimsktocdeterminevthegeffectkofjsuperiors support onnthelsatisfaction ofouserspofk computer-based accounting1informationpsystemshin the\LPD in Kediri subdistrict, Tabanan regency. To find out the effect of the involvement of information system users on user satisfaction of computer-based accounting information systems in LPD in Kediri sub-district Tabanan regency. The study was 52 people by using a purposive sampling method. Data collection uses a Likert scale questionnaire. Data analysis techniques by using multiple linear regression. The results showed that there is a positive and significant influence of superiors support on the satisfaction of users of computer-based accounting information systems at LPD in the sub-district of Kediri , Tabanan regency. And there is a positive and significant influence between the involvement of information system users on the satisfaction of users of computer-based accounting information systems at LPD at Kediri subdistrict, Tabanan regency. It is recommended to increase user satisfaction by increasing user involvement in system development, especially in user involvement in determining how to meet the information needed. And increased support from top management in the form of providing funds for system development.

The Information Quality impact on Learning Platforms

Information quality (IQ) is a multidisciplinary area that can be understood as a measure of the value that information provides to its consumer. In order to obtain it, in the learning ecosystem, it is necessary to take into account the increasingly important role of learning platforms (LP). The purpose of this article was to analyze the IQ impact on LP. For this, an integrative literature review was conducted. Analysis of this field shows that IQ has a significant impact on LP, as it increases user satisfaction, favors the use, positively influences the intention of continuity and is an essential factor for the mobile learning acceptance.