1,720,955 research outputs found
Pengaruh Teknik Clustering Harga Saham Dalam Manajemen Portofolio
Full text linkManajemen portofolio merupakan proses yang dilakukan investor untuk mengukur pengurangan risiko dengan diversifikasi investasi dalam bentuk portofolio. Investor yang hendak menanamkan saham dalam bentuk format portofolio perlu mencari mana saja saham yang dapat memberikan risiko paling minimal dengan tingkat return tertentu. Model formal untuk menciptakan portofolio yang memberikan risiko minimal dengan return tertentu, dikembangkan oleh Harry Markowitz (1952), namun pada model Makowitz sering kali tidak terdiversifikasi secara baik, agar pemilihan saham terdiversifikasi dengan baik, maka ditambahkan teknik clustering. Saham yang terpilih merupakan hasil dari proses penerapan teknik clustering. Disini menerapkan metode K-means clustering dan Fuzzy C-means clustering. Untuk setiap saham dikelompokan berdasarkan kriteria yang sama. Dari setiap cluster (kelompok), dipilih satu yang terbaik menurut kriteria berdasarkan return mingguan yang paling maksimum. Lalu dilakukan perhitungan untuk menentukan tingkat return dan tingkat resiko dari setiap clusternya, dengan bantuan model mean variance portofolio. Proses ini disimulasikan, agar mudah dalam mendapatkan portofolio dengan risiko terendah pada return yang ditentukan dan untuk mengetahui kinerja dari setiap portofolio yang terbentuk, agar dapat membantu investor untuk memilih saham investasi yang menguntungkan
Implementasi Aplikasi Konsultasi Kesehatan Jiwa Dengan Algoritma Kepakaran dan Jaringan Syaraf Tiruan
Full text linkUpaya untuk menjawab bagaimana cara komputasi memproses data teks dari konsultasi pasien menjadi sebuat inputan yang dapat dimengerti menjadi hasil akurat untuk dapat memeberikan rekomendasi dari konsultaasi yang dikeluhkan pasien membangun dan mengembangkan algoritma Artificial Neural Network dalam membangun sistem optimal untuk memberikan hasil rekomendasi konsultasi kesahatan mental manusia secara kepakaran, dengan focus utama pada data input dan output yang akurat dan tepat Natural Language Processing (NLP), Algoritma Artificial Neural Network yang digunakan menggunakan jenis multilayer. Cara kerja dari jenis multilayer adalah later pertama dijadikan input layer yang bertugas menyimpan vector input pada jaringan, selanjutnya layer input dimasukan secara komputasi pada layer kedua, yang bekerja bisa dengan proses komputasi parallel. Sistem pakar yang digunakan pada penelitian ini adalah metode dari Forward Chaining. Tingkat kecocokan input dengan hasil ANN yang diambil adalah akurasi 0.92 selain itu sistem akan menampilkan bahwa sistem tidak bisa memproses ‘Tidak mengerti perintah’, akurasi sistem yang dibangun merupakan akurasi prosedur dari model utama yang terbentuk. Iterasi yang dipakai yaitu 92 kali dan waktu eksekusi optimal sistem beropreasi bisa sangat cepat yaitu 0.016 second. Proses Artificial Neural Network merupakan proses utama dari penelitian ini, karena proses kerjanya sebagai penyambung kata setiap dataset dan akan dicocokan dengan inputan penggun
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
Hoax Information Detection System Using Apriori Algorithm and Random Forest Algorithm in Twitter
No full text- …
