scholarly journals Optimization of house purchase recommendation system (HPRS) using genetic algorithm

Author(s):  
K.A.F.A. Samah ◽  
I.M. Badarudin ◽  
E.E. Odzaly ◽  
K.N. Ismail ◽  
N.I.S. Nasarudin ◽  
...  

<span>This paper presents the optimization of house purchase recommendation system (HRPS) using Genetic Algorithm.  Everyone in this world has their own dream house and plan to purchase it depending on their budget and based on the house preferences. Homebuyers face problem in comparing the house property websites according to the factors during the house survey. Subsequently, it is time-consuming in making the decision and they need to bear the transportation cost as they will need to travel to one house developer office to another. In addition, some of the homebuyers felt disappointed when their expectations were not met. Thus, in order to optimize the preferences, in this paper, we present a web-based house purchase recommendation system (HPRS) using a genetic algorithm. Then, it follows by test the functionality and usability of the system. As a result, the system found to function accordingly and obtain more than the average score of system usability scale testing. For further research, it is recommended to add more data to the database and compare with other algorithms.</span>

2021 ◽  
Vol 13 (2) ◽  
pp. 133-146
Author(s):  
Galuh Saputri ◽  
Emi Sita Eriana

PEB Cooperative is a savings and loan cooperative which is intended for employees of PT. PEB, is engaged in the garment industry. Established since 15 years with the number of cooperative members who are permanent employees of the company. This cooperative becomes an economical shelter to meet the needs of its employees. Technology in admin data processing is still simple using Microsoft Excel tools, in applications that connect members with admins on this system have not been designed, so from the background of this research will design a web-based and android-based savings and loan cooperative information system This design uses the waterfall model which will take a sequential design making it easier for developers and users. The hope is that this design will help make transactions for savings, loans, deposits, data collection, and reports to members, admins and leaders. The results obtained from the questionnaire with the System Usability Scale method in this savings and loan cooperative application are easy to use, faster, and practical, stated by the cooperative members by 84% and cooperative managers by 80%. It can be concluded that this application that has been designed can make it easier to carry out savings and loan transactions quickly and practically.


Author(s):  
Putu Anggara Mahardika ◽  
I Made Arsa Suyadnya ◽  
Komang Oka Saputra

Markerless Augmented Reality (AR) is a technology that combines two-dimensional or three-dimensional virtual objects into a real environment and then projects these virtual objects in real time without the need for a special marker. In this research, the Markerless AR application will be used to simulate room decoration with 3-dimensional objects. This research was built using the Java programming language and using supporting applications namely Android Studio and Wikitude library. Based on the results of testing with the Black-box method, the overall functionality of the application has run well, besides testing also uses the System Usability Scale (SUS) method by giving questionnaires to 20 application users. The results of the System Usability Scale (SUS) test obtained an average score of 73.13. In grouping the SUS percentile score, the value of 73.13 is in Class C, wherein this assessment the application is acceptable and can be used easily by the user.


2019 ◽  
Vol 2019 ◽  
pp. 1-4 ◽  
Author(s):  
Katarzyna Smilowska ◽  
Daniel J. van Wamelen ◽  
Antonius M. C. Schoutens ◽  
Marjan J. Meinders ◽  
Bastiaan R. Bloem

Background. Blue light glasses have been introduced as a possible new treatment option to treat sleep disturbances in patients with Parkinson disease (PD). Assessing patient attitudes represents a key step in the road towards formal testing and introduction into clinical practice. Specifically, we aimed to assess how patients experience the use of blue light glasses, aiming to optimise compliance in upcoming clinical trials where these glasses will be tested for efficacy. Methods. We invited 58 PD patients who had used the blue light glasses for at least one week on a daily basis to complete an online survey about their experiences and self-reported impact. For this purpose, the System Usability Scale was used, supplemented with additional questions about (side)effects. A total of 31 patients (53%) replied. Results. 74% of respondents reported subjective improvements in night-time sleep, daytime sleepiness, depressive symptoms, motor functioning, or a combination thereof. The median score for the System Usability Scale (SUS; 0–100 range, higher scores indicating better performance) was 70.0. A total of 26 patients (84%) had an overall positive attitude towards the technique, with patients rating the glasses with an average score of 6.9 ± 2.0 (SD) out of 10. Except for one patient, all responders would like to continue using the glasses, mostly because they considered it a useful aid. Conclusion. Blue light therapy appears to have a positive effect on sleep, mood, and motor symptoms in PD. PD patients had an overall positive attitude towards blue light glasses as treatment for sleep disorders.


2019 ◽  
Vol 2 (1) ◽  
pp. 24-32
Author(s):  
Faraz Muhammad Aulia ◽  
Made Sudarma ◽  
I Made Arsa Suyadnya

Indonesia is predominantly Muslim country. However, around 54% of Muslims cannot read the Qur'an. Many teenagers and adults argue that this is due to lack of time, shame to learn, not having a teacher and so on. Based on these problems, many methods are formulated to help the community in learning. The Tsaqifa method is one method that is claimed to make people able to read the Qur'an in just 7.5 hours. However, along with technological advances, this method began to be considered conventional. Therefore, there needs to be a new alternative so that learning methods can keep up with technological advances. Utilization of instant messaging can be used as an alternatives to implement existing learning methods especially Tsaqifa method that is expected can help communities learn independently, quickly, easily and interactively. In this study, the application of the Tsaqifa method was carried out by developing an application of chatbot in learning the Al-Qur'an reading media that utilizes the LINE Messaging API.  Applications that have been built are tested with 2 methods that is Blackbox Testing and System Usability Scale (SUS). In testing using Blackbox Testing, the overall functionality of the application has been declared successfully run and based on the results of the System Usability Scale (SUS) test, obtained an average score of 73.3 out of 20 respondents which means the application can be accepted by the public (acceptable).


10.2196/23904 ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. e23904
Author(s):  
Anthony J Levinson ◽  
John Bousfield ◽  
William Douglas ◽  
Stephanie Ayers ◽  
Richard Sztramko

Background It is estimated that 564,000 Canadians are currently living with dementia and there are approximately 486,000 to 1.1 million informal family/friend caregivers. Family/friend caregivers often receive little to no education or training about dementia but are expected to provide ongoing support for a complex condition. Web-based family/friend caregiver interventions may be helpful, but little is known about how best to implement them. Objective The objectives of this study were to 1) design and develop a novel education prescription application to help scale and spread web-based dementia education to family/friend caregivers, 2) conduct user testing, and 3) conduct a larger-scale field trial. Methods A novel education prescription web-based application was designed and developed. Initial user testing used task completion and the “think aloud” technique with a small sample of representative clinicians who work with people living with dementia and family/friend caregivers. Following iterative incorporation of feedback, a larger field trial was conducted with a convenience sample of clinicians. Account invitations were sent to 55 clinicians and, following a 2-month trial period, surveys were administered to participants including the System Usability Scale and the Net Promoter Score. Results During the initial user testing phase, participants (N=7) from representative disciplines easily completed associated tasks, and had very positive feedback with respect to the usability of the application. The System Usability Scale score during this phase was 91.4. Suggestions from feedback were incorporated into the application. During the larger field trial phase, participants (total N=55; activated account n=17; did not activate account n=38) were given access to the iGeriCare education prescription application. During this period, 2 participants created educational prescriptions; a total of 3 educational prescriptions were sent. Survey completers who did not activate their account (n=5) identified that their lack of use was due to time constraints, competing priorities, or forgetting to use the application. Survey completers who activated their account (n=5) identified their lower use was due to lack of time, lack of eligible family/friend caregivers during trial period, and competing priorities due to the COVID-19 pandemic. The System Usability Scale score during this phase was 78.75, and the Net Promoter Score was 50. Conclusions Study findings indicate a generally positive response for the usability of a web-based application for clinicians to prescribe dementia education to family/friend caregivers. The dissonance between the promising data and widespread enthusiasm for the design and purpose of the education prescription application found in the initial user testing phase and subsequent lack of significant adoption in the field trial represents both an important lesson for other novel health technologies and a potential area for further investigation. Further research is required to better understand factors associated with implementation of this type of intervention and impact on dissemination of education to family/friend caregivers.


2019 ◽  
Vol 1 (3) ◽  
pp. 206-212
Author(s):  
Ade Saputra

Assessment Test is one of the routine agenda that is carried out every semester change. This test is conducted to see the development of students in learning activities. Currently SMK 5 Kota Tangerang already uses a mobile application using the PENTAS application in answering the exam questions. But this application needs to be done to understand applications that can be used properly, or vice versa. This study uses the System Usability Scale (SUS) method to measure the use of this application for use. This SUS method has 10 questions that will be answered by respondents who are directly involved in using the PENTAS application. The average score obtained by the System Use Scale method is 46.00. These results fall into the Unacceptable category, so this PENTAS application is not good for use.


2020 ◽  
Author(s):  
Christina Schüttler ◽  
Hans-Ulrich Prokosch ◽  
Martin Sedlmayr ◽  
Brita Sedlmayr

BACKGROUND To meet the growing importance of real-word data analysis, clinical data and biosamples must be timely made available. Feasibility platforms are often the first contact point for determining the availability of such data for specific research questions. Therefore, a user-friendly interface should be provided to enable access to this information easily. The German Medical Informatics Initiative also aims to establish such a platform for its infrastructure. Although some of these platforms are actively used, their tools still have limitations. Consequently, the Medical Informatics Initiative consortium MIRACUM (Medical Informatics in Research and Care in University Medicine) committed itself to analyzing the pros and cons of existing solutions and to designing an optimized graphical feasibility user interface. OBJECTIVE The aim of this study is to identify the system that is most user-friendly and thus forms the best basis for developing a harmonized tool. To achieve this goal, we carried out a comparative usability evaluation of existing tools used by researchers acting as end users. METHODS The evaluation included three preselected search tools and was conducted as a qualitative exploratory study with a randomized design over a period of 6 weeks. The tools in question were the MIRACUM i2b2 (Informatics for Integrating Biology and the Bedside) feasibility platform, OHDSI’s (Observational Health Data Sciences and Informatics) ATLAS, and the Sample Locator of the German Biobank Alliance. The evaluation was conducted in the form of a web-based usability test (usability walkthrough combined with a web-based questionnaire) with participants aged between 26 and 63 years who work as medical doctors. RESULTS In total, 17 study participants evaluated the three tools. The overall evaluation of usability, which was based on the System Usability Scale, showed that the Sample Locator, with a mean System Usability Scale score of 77.03 (SD 20.62), was significantly superior to the other two tools (Wilcoxon test; Sample Locator vs i2b2: <i>P</i>=.047; Sample Locator vs ATLAS: <i>P</i>=.001). i2b2, with a score of 59.83 (SD 25.36), performed significantly better than ATLAS, which had a score of 27.81 (SD 21.79; Wilcoxon test; i2b2 vs ATLAS: <i>P</i>=.005). The analysis of the material generated by the usability walkthrough method confirmed these findings. ATLAS caused the most usability problems (n=66), followed by i2b2 (n=48) and the Sample Locator (n=22). Moreover, the Sample Locator achieved the highest ratings with respect to additional questions regarding satisfaction with the tools. CONCLUSIONS This study provides data to develop a suitable basis for the selection of a harmonized tool for feasibility studies via concrete evaluation and a comparison of the usability of three different types of query builders. The feedback obtained from the participants during the usability test made it possible to identify user problems and positive design aspects of the individual tools and compare them qualitatively.


Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7342
Author(s):  
Isabel-María Alguacil-Diego ◽  
Alicia Cuesta-Gómez ◽  
Aldo-Francisco Contreras-González ◽  
David Pont-Esteban ◽  
David Cantalejo-Escobar ◽  
...  

Recovery of therapeutic or functional ambulatory capacity in patients with rotator cuff injury is a primary goal of rehabilitation. Wearable powered exoskeletons allow patients to perform repetitive practice with large movements to maximize recovery, even immediately after the acute event. The aim of this paper is to describe the usability, acceptability and acceptance of a hybrid exoskeleton for upper-limb passive rehabilitation using the System Usability Scale (SUS) questionnaire. This equipment, called ExoFlex, is defined as a hybrid exoskeleton since it is made up of rigid and soft components. The exoskeleton mechanical description is presented along with its control system and the way motion is structured in rehabilitation sessions. Seven patients (six women and one man) have participated in the evaluation of this equipment, which are in the range of 50 to 79 years old. Preliminary evidence of the acceptance and usability by both patients and clinicians are very promising, obtaining an average score of 80.71 in the SUS test, as well as good results in a questionnaire that evaluates the clinicians’ perceived usability of ExoFlex.


2020 ◽  
Vol 9 (1) ◽  
pp. 1186-1195

The key aim of the data mining techniques is to help the user by reducing the effort for exploring the data, recovering the patterns, and implementing applications that help to find the knowledge specific contents, decision making, and predictions. This research work develops a recommendation system by using the merits of data mining algorithms. They are used for designing web-based e-learning recommendation systems. This model aims to understand the user behavior and contents requirements of the learner. This purpose is solved by obtaining the information from the data source and producing the suggestions of suitable content to the learner. The concept of web content mining and web usage mining has been combined together for performing the required work. This technique involves the genetic algorithm and k-means clustering algorithm for designing the presented model. In this work the k-means clustering algorithm has been used to track user behavior and the genetic algorithm has been used as a search algorithm to find the necessary resources in the database. Finally, the presented system is implemented and its performance is measured. The estimated results demonstrate that the presented model enhances the accuracy of recommendations and also speeds up the computations. A related performance calculation has also provided to justify this conclusion. The obtained results demonstrate that this technique is acceptable for new generation application designs


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