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Analysis of Factors Affecting Quality of *** Website Towards User Satisfaction using Webqual 4.0 Method

Journal of Physics: Conference Series 2020年第1期1641卷

作者： Ranu Agastya Nugraha Dwi Andriyanto Dwiza Riana Siti Nur Khasanah Computer Science Study Program STMIK Nusa Mandiri Jakarta Indonesia Information System Study Program STMIK Nusa Mandiri Jakarta Indonesia

This research focuses on how to measure the quality of a website using the Webqual 4.0 method, what are the factors that influence user satisfaction. The PLS-SEM technique was used to verify questionnaire data from a sample of 155 respondents. The result shows that the quality of service interaction has a significant (positive) effect of 54.2% compared to the aspect of information quality and usability quality that has no significant effect. These results indicate that the *** site users expect quality of service interaction as a measure of satisfaction from the quality of a website. Users are more likely not to see deficiencies in the aspect of information quality and usability quality according to the assessment of satisfaction given. Therefore, the *** website manager needs to focus on the quality of service interaction aspects of website as a priority in improving grade.

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Design of IOT based facial recognition door access control locker services at tourist attractions in Bali

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Journal of Physics: Conference Series 2020年第1期1516卷

作者： K K Widiartha A A G Ekayana Study Program of Informatics Engineering STMIK STIKOM Indonesia Denpasar-Bali80225 Indonesia Study Program of Computer System STMIK STIKOM Indonesia Denpasar-Bali80225 Indonesia

Safety and comfort are things that everyone wants to get on a trip. Every tourist who wants a vacation to one of the tourist destinations will prioritize these two things. Leisure in travel is influenced by the availability of supporting facilities. From accommodation, restaurants to facilities provided by tourism actors in each tourism object. One problem is the lack of facilities in attractions such as luggage storage (lockers), many tourists in enjoying tourism objects carrying luggage such as backpacks; groceries to backpacks for tourists are classified as backpackers. Of course this will disrupt the comfort of traveling. In the research conducted, researchers wanted to design a system of goods storage services as a form of supporting industry 4.0 in the tourism environment. By designing an image of the storage media of goods by implementing access control for doors in each locker based on image processing supported by a microcontroller. The method used that focuses on facial recognition as image input using the PCA (Principal Component Analysis) method, which can measure the Euclidean distance in an object's face image. The design as a blueprint makes it easier to develop the next item of storage media (lockers).The results of this study indicate that the facial recognition method used is able to extract facial features and be recalibrated to activate the locker that is owned by the face object.

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Determining the stock status of snapper (Lutjanus sp.) using surplus production model: a case study in Banyuasin coastal waters, South Sumatra, Indonesia

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IOP Conference Series: Earth and Environmental Science 2020年第1期404卷

作者： Fauziyah A I S Purwiyanto F Agustriani W A E Putri Ermatita A Putra Marine Science Study Program Faculty of Mathematics and Natural Sciences Sriwijaya University Indonesia Information System Department Faculty of Computer Science Sriwijaya University Indonesia

Snapper (Lutjanus sp.) is an economically important fish for local fishermen in Banyuasin coastal water of South Sumatra. However, the current and historical stock of this species is still unknown. This study was aimed to estimate the stock status of Lutjanus sp. in the Banyuasin coastal waters. The annual catch and effort data were analyzed from 2008 to 2016. The different surplus production models were tested to obtain the best-fitted model based on the sign suitability test, model performance test, and multiple criteria analysis. The results indicated that the best-fitted model for Lutjanus sp. was the Fox model. The model had the best value for the determination coefficient (R2 = 97.2%), Nash-Sutcliffe Efficiency (-0.277), Mean Absolute Deviation (29.198), Mean Square Error (1,190.522), Root Mean Square Error (34.504), and RMSE-observations Standard Deviation Ratio (1.13), whereas the value of Mean Absolute Percentage Error (0.05) was the second-best value. The optimum effort (Eopt), maximum sustainable catch (CMSY), and total allowable catch were 22.236 trips/year, 623 ton and 498 ton/year, respectively. Based on plotting the effort and exploitation level (141%; 102%) in 2016, the stock status of Lutjanus sp. indicated depleting stock, the high fishing pressure and could encourage overfishing stock in the future.

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The development of bank applications for debtors' selection by using Naïve Bayes classifier technique

The development of bank applications for debtors' selection ...

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International Conference on Informatics, Engineering, Science and Technology, INCITEST 2018

作者： Ginting, S.L.B. Adler, J. Ginting, Y.R. Kurniadi, A.H. Study Program of Computer System Universitas Komputer Indonesia Jl. Dipati Ukur 112-116 Bandung40132 Indonesia Department of Mechanical Engineering Universitas Riau Kampus Bina Widya KM 12 Simpang Baru Pekanbaru28293 Indonesia

The purpose of this study is to create an application which functions automatically with high accuracy when analyzing bank customer data. This needed due to non-perforMing loans occurring frequently caused by the inaccuracy of credit analysts in the assessment of creditworthiness. This can be seen in the incident occurred in a public bank located in Bandung. This bank does not have the database that serves to accommodate data history and the method used in assessing creditworthiness is merely based on the simple statistical analysis. This leads to reduced accuracy and speed in the decision-making process. This research applies Naïve Bayes Classifier (NBC) method, a Data Mining technique. This helps credit analysts to select customers who are truly eligible to be given credit so that non-perforMing loan can be avoided. NBC calculates the probability of one class from each group of attributes and deterMines which class is most optimal. The accuracy of the NBC sampling test from 501 data is 94% compared to the decision made by a credit analyst. It can be concluded that this application is very helpful for credit analysts in recommending customers who are eligible for a loan to the bank's decision maker. © Published under licence by IOP Publishing Ltd.

关键词： Sales

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The Development of Bank Application for Debtors Selection by Using Naïve Bayes Classifier Technique

The Development of Bank Application for Debtors Selection by...

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International Conference on Informatics, Engineering, Science and Technology, INCITEST 2018

作者： Ginting, S.L.B. Adler, J. Ginting, Y.R. Kurniadi, A.H. Computer System Study Program Universitas Komputer Indonesia Jl. Dipati Ukur 112-116 Bandung40132 Indonesia Department of Mechanical Engineering Universitas Riau Kampus Bina Widya KM 12 Simpang Baru 5 Pekanbaru28293 Indonesia

The purpose of this study is to create an application that functions automatically with high accuracy when analyzing bank customer data. This needed due to non-perforMing loans occurring frequently caused by the inaccuracy of credit analysts in the assessment of creditworthiness. This can be seen in the incident occurred in a public bank located in Bandung. This bank does not have the database that serves to accommodate data history and the method used in assessing creditworthiness is merely based on the simple statistical analysis. This leads to reduced accuracy and speed in the decision-making process. This research applies Naïve Bayes Classifier (NBC) method, a Data Mining technique. This helps credit analysts to select customers who are truly eligible to be given credit so that non-perforMing loan can be avoided. NBC calculates the probability of one class from each group of attributes and deterMines which class is most optimal. The accuracy of the NBC sampling test from 500 data is 95% compared to the decision made by a credit analyst. It can be concluded that this application is very helpful for credit analysts in recommending customers who are eligible for a loan to the bank's decision maker. © Published under licence by IOP Publishing Ltd.

关键词： Sales

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The Application of Fuzzy Logic Method in the Debtors Eligibility Assessment system of Microfinance Institution

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IOP Conference Series: Materials Science and Engineering 2020年第1期879卷

作者： S L B Ginting M R M Rizky Y R Ginting Sutono Computer System Study Program Faculty of Engineering and Computer Science Universitas Komputer Indonesia Jl. Dipati Ukur 112-116 Bandung 40132 Indonesia. Department of Mechanical Engineering Universitas Riau Kampus Bina Widya KM 125 Simpang Baru Pekanbaru 28293 Indonesia.

Decision-making processes in determining loan eligibility are often subjective which leads to imprecise credit predictions. Due to inaccurate inquiry on prospective customers done by field survey officers of Bank Perkreditan Rakyat (BPR) Bandung City, it has experienced credit complications such as bad credits. Therefore, this study aims to help decision-makers in determining creditworthiness and preventing bad credits from occurring. To realize this solution, the study uses the Fuzzy Logic method to calculate the creditworthiness of each prospective loaner based on the inquiries done in the field survey. Fuzzy Logic is known to be a 'counting' methodology with varying words. In addition, it can implement human expertise into machine language with ease and adequately. Based on numerous testing performed, the results demonstrate a level of 90% in accuracy when inputting within the valid ranges of each fuzzy set and membership function. However, the level of accuracy is only based on the clarification result which is determined by a researcher and BPR director, not a general level of accuracy for other microfinance institutions. Nevertheless, the findings of this study prove the method has a high enough accuracy to support decision-makers in determining the loan eligibility of prospective loaners and through this application in the surveying process, survey workers can work more efficiently. Hence, in future has a higher chance of predicting bad credits from potential loaners.

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Smart monitoring apps for salvaging neolissochillus thienemanni sumateranus (batak heritage) from extinction

Smart monitoring apps for salvaging neolissochillus thienema...

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2017 International Conference on Electrical Engineering and computer Science, ICECOS 2017

作者： Harianja, Richad Pangaribuan, Nickholas Sinaga, Lambok Kisno, K. Siagian, Pandapotan Sembiring, Evita Rindani Institut Teknologi Del Computer Network Management Study Program Sitoluama22381 Indonesia Institut Teknologi Del Information System Study Program Del English Club-Writing Sitoluama22381 Indonesia

ISBN: (纸本)9781479976751

Ihan or Ikan Batak (Neolissochillus thienemanni sumateranus), the heritage of Batak tribe, is considered as vulnerable species of freshwater fish in Indonesia, especially at Lake Toba. This study aims to introduce SMAFIB application that is environment-friendly and helps the salvage of the fish from extinction. An application is built based on Django framework using Phyton programming language, which interacts with Raspberry pi through the internet to monitor the fish breeding and carries out all operations needed for fish conservation. A 14-day-experiment was carried out on 15 Ihan seed in a tailored aquarium equipped with the smart application. After two weeks, the result indicated that the success rate of breeding the endangered species using this system was 100% where all the fish put were survived. The implementation of the embedded system which is realized through mobile application has been successful in breeding the endangered species by considering and monitoring the essential aspects such as pH, temperature, feeding, water condition, and health risks. Time efficiency and yields are getting increased which reflect the increase in the economy for the farmers. SMAFIB application increases the efficiency of feeding time, monitoring time, and helps the salvage of the species in order to restore the custom and tradition of the Batak community as well as helps the improvement of the farmers' income without endangering the environment. © 2017 IEEE.

关键词： Embedded systems

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Modeling on clinical group decision support system for screening and working diagnosis acute respiratory infections

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IOP Conference Series: Materials Science and Engineering 2019年第1期508卷

作者： Muhammad Syaukani Sri Hartati Hari Kusnanto Suryo Guritno Study Program of Information Technology STMIK Indonesia Banjarmasin Indonesia Dept. of Computer Science and Electronics Faculty of Mathematics and Natural Sciences Universitas Gadjah Mada Yogyakarta Indonesia Study Program of Publich Health Interests Health Management Information System Faculty of Medicine Universitas Gadjah Mada Yogyakarta Indonesia

There are cases of patients with Acute Respiratory Infection (ARI) which are not handled quickly and appropriately at emergency department (ED), thus there should be a medium that can assist medical personnel in making decisions. This research proposes the development model of Clinical Group Decision Support systems (CGDSS) named KLISPA models. KLISPA model can accommodate a screening process to the working diagnosis process of ARI by integrating Case Based Reasoning (CBR) and Groups Decision Support system (GDSS). Screening process completed by CBR using Nearest Neighbor method. This process helps medical personnel such as nurses, co asst doctors, and general practitioners to do screening to patients for determining the early solution to the disease. Meanwhile, the working diagnosis solved by GDSS uses the methods of Eckenrode, Extended TOPSIS and BoostVote. This process accommodates the needs of joint decision-making which involves groups of Decision Maker (DM) consisting of pediatrician, child lung specialist doctor, and the radiologist doctor.

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College Community-Based Physical Activity Support at a Public University During the COVID-19 Pandemic: Retrospective Longitudinal Analysis of Intra- Versus Interpersonal Components for Uptake and Outcome Association

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JMIR mHealth and uHealth 2025年 13卷 e51707页

作者： Garrett I Ash Selene S Mak Adrian D Haughton Madilyn Augustine Phillip O Bodurtha Robert S Axtell Beatrice Borsari Jason J Liu Shaoke Lou Xin Xin Lisa M Fucito Sangchoon Jeon Matthew Stults-Kolehmainen Mark B Gerstein Program in Computational Biology & Bioinformatics Yale University New Haven CT United States. Department of Molecular Biophysics and Biochemistry Yale University New Haven CT United States. Center for Pain Research Informatics Medical Comorbidities and Education Center (PRIME) VA Connecticut Healthcare System West Haven CT United States. Center for the Study of Healthcare Innovation Implementation & Policy (CSHIIP) VA Greater Los Angeles Healthcare system Los Angeles CA United States. Department of Health and Movement Sciences Programs Southern Connecticut State University New Haven CT United States. Department of Psychiatry Yale School of Medicine New Haven CT United States. Center for Outcomes Research and Evaluation Yale New Haven Hospital New Haven CT United States. Section of Cardiovascular Medicine Department of Internal Medicine Yale School of Medicine New Haven CT United States. Yale Cancer Center New Haven CT United States. Smilow Cancer Hospital Yale New Haven Hospital New Haven CT United States. Yale School of Nursing Orange CT United States. Center for Weight Management Yale New Haven Hospital New Haven CT United States. Department of Biobehavioral Sciences Teachers College Columbia University New York NY United States. Department of Computer Science Yale University New Haven CT United States. Department of Statistics and Data Science Yale University New Haven CT United States. Section of Biomedical Informatics and Data Science Yale University New Haven CT United States.

BACKGROUND:College students are vulnerable to setting long-term trajectories of low physical activity (PA) but are reachable via mobile health fitness tracking (eg, mobile health step counting) and interpersonal support tailored to the college community. However, no studies have statistically isolated the appeal and influence of these intra- and interpersonal components in college-based PA interventions. OBJECTIVE:This study retrospectively examined a college-based PA promotion program at a northeast US public university during the COVID-19 pandemic to (1) test the impact of student status on the use of intervention components and (2) determine whether such use was associated with successful retention and goal achievement in the program. METHODS:The university used a commercial platform for a 30-day PA promotion program during April 2021 with intrapersonal (step-tracker syncing, education, self-monitoring, and motivational messaging) and interpersonal (friend interactions and team games) components. App use was operationalized as intrapersonal (frequency of opening app, education, and self-monitoring) and interpersonal (friends made in-app and team affiliation and size). RESULTS:Campus-wide emails elicited sign-up by 156 undergraduate students, 57 graduate students, and 126 faculty and staff members. Objective 1 yielded the following results: undergraduates used the app less frequently (median 0.8, IQR 0.4-1.7 times per day) than other groups (graduate students: median 1.4, IQR 0.7-2.7 times per day; P=.01; faculty: median 1.3, IQR 0.7-2.7 times per day, H=14.5; P=.001) but made the same number of friends (median 1-2) and teammates (median 8-9; P=.77 for friends and P=.93 for teammates). Objective 2 yielded the following results: most participants (313/335, 93.4%; 95% CI 90%-96%) were retained for the first 7 days, but by 30 days, retention dropped, most notably for undergraduate students (82/154, 53.2%; 95% CI 45%-61%), followed by graduate students (39/56, 70%; 95

关键词： education faculty goals mobile apps social networks students universities

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Biodiversity of fish resources in Sungsang Estuaries of South Sumatra

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IOP Conference Series: Earth and Environmental Science 2019年第1期278卷

作者： Fauziyah Nurhayati S M Bernas A Putera Y Suteja F Agustiani Marine Science Study Program Faculty of Mathematics and Natural Sciences Sriwijaya University Indonesia Environmental Management Study Program Faculty of Agriculture Sriwijaya University Indonesia Faculty of Agriculture Sriwijaya University Indonesia Information System Department Faculty of Computer Science Sriwijaya University Indonesia Marine Science Department Faculty of Marine Sciences and Fisheries Udayana University Indonesia

The purpose of this study was to assess the fish biodiversity of Sungsang estuaries in South Sumatra. The species diversity, evenness, dominance, degree of similarity, and composition of fish communities as well as some physicochemical conditions were analyzed in order to establish the baseline data inventory of Sungsang estuaries. The results show that all of the physico-chemical parameters were in good condition for fish sustainability. Forty-eight (48) species of fish belonging to 29 families of freshwater, brackish water and marine sources were encountered in the water bodies. Johnius belangerii, Johnius amblycephalus and Setipinna taty were species with a relatively high abundance, but the appearance frequency of these species was high, medium and low, respectively. The value of the Shannon's diversity index for fish resources was classified as moderate (H'=1.477-2.708). The index value of evenness was classified as high (J'= 0.616 – 0.876), while the index value of dominance was classified as low (D = 0.097 – 0.382). This result indicate that the species diversity was good enough, the species spread was evenly distributed, that there was a stable community structure and no domination.

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