1,720,958 research outputs found
Prediksi Bayi Lahir Secara Prematur Dengan Menggunakan Metode C.45 Berbasis Particle Swarm Optimization Pada Klinik Umi
Get PDFAbstract - Babies born prematurely can occur when the pregnancy has not reached the mature gestational age. Pregnancy usually lasts about 40 weeks. Some risk factors for preterm birth include having given birth to a premature baby before and becoming pregnant with twins. The complications associated with preterm birth include immature lungs, difficulty regulating body temperature, difficulty eating, and slow weight gain. Premature babies can require longer or more intense nursery care, medication, and sometimes surgery. Until now, there have been several cases of preterm labor that have no known cause. There are a number of factors and health problems that can trigger premature labor, which are unhealthy mothers, smoking, a history of pregnancy, fetal conditions, psychological conditions. For this reason, the author intends to make a study on how to predict a patient who will deliver prematurely. In this study C4.5 algorithm model and C4.5 algorithm model based on particle swarm optimization are used to get the rule in predicting premature births of babies and provide accuracy values. more accurate. After testing with two models, namely C4.5 Algorithm and C4.5 Algorithm based on particle swarm optimization, the results obtained are C4.5 Algorithm produces an accuracy value of 94.30% and AUC value of 0.986 with a diagnosis level of Excellent Classification, but after The addition is C4.5 algorithm based on particle swarm optimization, the accuracy value is 97.91% and the AUC value is 0.997 with the diagnosis level of Excellent Classification. So that both methods have different levels of accuracy which is equal to 3.61%.
Keywords: gestational age, premature, C4.5 algorith
Penurunan miskonsepsi siswa melalui pembelajaran remedial dengan menggunakan model pembelajaran induktif pada materi reaksi reduksi dan oksidasi
Get PDFPenelitian bertujuan untuk menentukan penurunan miskonsepsi siswa setelah dilakukan pembelajaran remedial dengan menggunakan model pembelajaran induktif pada materi reaksi reduksi dan oksidasi (redoks) di MAN 2 Samarinda Tahun Ajaran 2016/2017. Partisipan penelitian adalah siswa kelas X MIPA 1 yang berjumlah 38 siswa dipilih menggunakan teknik purposive sampling. Pengumpulan data dilakukan melalui tes hasil belajar berupa soal yang dilengkapi butir skala certaintly of response index (CRI) pada post-test dan ulangan harian. Sebanyak 30 siswa pada post-test 1, 25 siswa pada post test 2 dan 28 siswa pada ulangan harian mengalami miskonsepsi setelah diajar menggunakan model pembelajaran langsung. Setelah dilakukan remedial menggunaan model induktif, sebanyak 24 siswa pada post test 1, sebanyak 21 siswa pada post test 2 dan sebanyak 23 siswa pada ulangan harian mengalami miskonsepsi. Penurunan persentase miskonsepsi siswa pada post test 1 sebesar 20,0%, pada post test 2 sebesar 16,0% dan pada ulangan harian sebesar 17,9%. Simpulan penelitian didapatkan bahwa model pembelajaran induktif dapat mengurangi miskonsepsi siswa pada materi reaksi redoks
Prediksi Peminatan Pelanggan dalam Penjualan Produk Sepatu Menggunakan Metode Decision Tree Berbasis Particle Swarm Optimization pada PT. Baskara Cipta Pratama
Get PDFAbstract—The PSO-based optimization C4.5 model gives a higher value of 78.16% compared to the C4.5 algorithm model that is 73.88. The results obtained differences between the two models by 4.28%. While for evaluation using ROC curve for second model that is, for model of algorithm C4.5 value of AUC is 0,764 with level of diagnosis classification fair, and for model of algorithm C4.5 based on PSO AUC is 0,780 with level of diagnosis of fair classification. It s concluded that ROC curvesmodels shows C4.5 algorithm based on PSO is larger. It can be inferred that C4.5 algorithm based on particle swam optimization is more accurate in predicting the customers’ interest for buying shoes.        Intisari— Analisis optimasi model algoritma C4.5 berbasis PSO memberikan nilai akurasi yang lebih tinggi yaitu 78.16% dibandingkan dengan model algoritma C4.5 yaitu 73.88%. Dari hasil tersebut didapatkan selisih antara kedua model yaitu 4,28%. Sementara untuk evalusai menggunakan ROC curve untuk kedua model yaitu, untuk model algoritma C4.5 nilai AUC adalah 0.764 dengan tingkat diagnosa Fair classification, dan untuk model algoritma C4.5 berbasis PSO nilai AUC adalah 0.780 dengan tingkat diagnosa Fair classification. Dari evaluasi ROC curve tersebut terlihat bahwa model algoritma C4.5 berbasis PSO lebih besar Sehingga dapat disimpulkan bahwa algoritma C4.5 berbasis particle swarm optimization lebih akurat dalam memprediksi minat beli produk sepatu.  Kata Kunci — C4.5, Produk, Sepatu PSOÂ
Sistem Jasa Laundry Berbasis Desktop Toko Syafira Laundry
Get PDFAbstrak: Toko syafira laundry adalah toko yang bergerak di bidang pencucian . Sistem informasi pada toko syafira laundry saat ini masih bersifat manual. Selama ini proses administrasi pelayanan masih menggunakan kegiatan manual. Transaksi penerimaan laundry masih di catat dalam nota penerimaan laundry. Sehingga untuk melakukan pencarian data mengalami kesulitan dan membutuhkan proses yang lama. Serta untuk mengetahui pendapatan laundry juga harus melakukan rekapitulasi semua nota penerimaan laundry. Berdasarkan permasalah tersebut, penulis menganalisa dan membuat sistem informasi aplikasi jasa laundry yang menerapkan model waterfall dalam pembangunannya serta menggunakan Bahasa pemograman php dan mysql sebagai database. Sistem tersebut dalam penggunaannya berbasis desktop dengan server localhost karena sistem persediaan barang yang bersifat internal
Platform Pembelajaran Online Berbasis Media Sosial Menggunakan Laravel
Get PDFAccording to the World Population Review, in 2021 Indonesia is ranked 54th out of 78 countries included in the ranking of world education levels. This is what makes the author want to create a learning system independently. Since Covid-19, internet usage has continued to increase. Based on the Badan Pusat Statistika (BPS) as much as 78.18% in Indonesia increased after the Covid-19 pandemic. In this research a website-based learning social media system will be designed. By using the concept of social media, it is expected to increase the attractiveness of students to study at home. Students can use the platform like using social media in general. There are several features such as likes, comments, discussion forums between students and teachers. This website also functions as a forum for teachers to interact with students online. The research method used is a qualitative research method with data collection techniques through literature study, observation and interviews. From these results it can be concluded that this social learning website can be used as an alternative learning at home and make a solution for website-based school learning platforms
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
- …
