1,720,960 research outputs found
PENERAPAN METODE SUPPORT VECTOR MACHINE MENGGUNAKAN OPTIMASI GENETIC ALGORITHM UNTUK PREDIKSI PENYAKIT DIABETES
Get PDFAbstract—Currently diabetes progressively increasing number of sufferers. Diabetesis a disease that can lead to complication scan even causedeath. Many studies using theme thod of Support Vector Machine predicting diabetes butthe accuracy ofthe resulting valueis stillless accurate. Inthis stud ycreate da mode lof Support Vector Machine algorithm toget the rulein predicting diabetes and provide a more accuratevalue of accuracy. After testing the model of Support Vector Machine and Support Vector Machine, the results obtained are thusobtained testing algorithm using Support Vector Machine where the value obtained accuracy is 74.21% and the AUC value is 0.758 and testing by using Support Vector Machine based Genetic Algorithm accuracy 75.26% values obtained with precision value 76.25 % and the AUC value is 0.771.Abstract—Currently diabetes progressively increasing number of sufferers. Diabetesis a disease that can lead to complication scan even causedeath. Many studies using theme thod of Support Vector Machine predicting diabetes butthe accuracy ofthe resulting valueis stillless accurate. Inthis stud ycreate da mode lof Support Vector Machine algorithm toget the rulein predicting diabetes and provide a more accuratevalue of accuracy. After testing the model of Support Vector Machine and Support Vector Machine, the results obtained are thusobtained testing algorithm using Support Vector Machine where the value obtained accuracy is 74.21% and the AUC value is 0.758 and testing by using Support Vector Machine based Genetic Algorithm accuracy 75.26% values obtained with precision value 76.25 % and the AUC value is 0.771.
Intisari— Saat ini penyakit diabetes semakin lama semakin meningkat jumlah penderitanya. Penyakit diabetes adalah salah satu penyakit yang dapat menyebabkan komplikasi bahkan dapat menyebabkan kematian. Banyak penelitian yang menggunakan metode Support Vector Machine dalam memprediksi penyakit diabetes tetapi nilai akurasi yang dihasilkan masih kurang akurat. Dalam penelitian ini dibuatkan model algoritma Support Vector Machine untuk mendapatkan rule dalam memprediksi penyakit diabetes dan memberikan nilai akurasi yang lebih akurat. Setelah dilakukan pengujian dengan model Support Vector Machine dan Support Vector Machine maka hasil yang didapat adalah algoritm asehingga didapat pengujian dengan menggunakan Support Vector Machine dimana didapat nilai accuracy adalah 74.21 % dan nilai AUC adalah 0.758 dan pengujian dengan mengunakan Support Vector Machine berbasis Genetic Algorithm didapatkan nilai accuracy 75.26% dengan nilai precision 76.25% dan nilai AUC adalah 0.771
Aplikasi Monitoring Proses Distribusi Makanan Beku Untuk Informasi Secara Realtime
No full textThe control of frozen food distribution process done by the logistic part in obtaining the data is still manual, using the form and excel, causing the admin difficulty in monitoring and controlling the distribution process or the delivery of frozen food to store or outlet. Problem solving is made an application using data collection method and RAD method, where the model of Rapid Application Development (RAD) has business modeling stage using kebutuah application admin and user, data modeling that explains the use of ERD and LRS from the database side, about usecase diagrams and activity diagrams from the application process side, application generation evolves about programming languages in application creation while testing and turnover describes the use of white box testing. The purpose of the application is made to facilitate the related division in processing the data distribution process, monitor and control the distribution process and obtain information distribution process in realtime.</jats:p
Sistem Pakar Diagnosa Autisme Pada Anak Berbasis Android
No full textAutism is a developmental disorder in children that causes child is difficult do communicte and interact socially. An expert system identification and treatment of autistic children based on android has not been widely applied, ussually only done manually based on the identification of a Psychologist assessment. Identification expert system is expected to assist in the identification of children with autism are much faster and accurate approach using data from Psychologists and special needs teachers. Knowledge in the expert system is represented in the form of rules and methods of reasoning and used method of trace forward chaining. Output on a system such as whether Three si The possibility of autism in child based on facts bor symptoms given to the system. The test results shaw that the system of identification Ana treatment of autistic children to help in the identification of children with autism and provide general description of the autistic child. In addition, there is also general information on children with autism and theirs methods of theraphy for children with autism in accordance with the conditions of the child.</jats:p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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