1,720,972 research outputs found
PENERAPAN SISTEM PREDIKSI PERMINTAAN SECARA DIGITAL UNTUK MENGETAHUI PENINGKATAN PENJUALAN TANAMAN DI KOMUNITAS PETANI BUNGA DESA BLABAK KEC. KANDAT KAB. KEDIRI
Full text linkA sale of interest that is not properly recorded will result in stock inventory or demand from buyers occurring in a vacuum. Flower farmers who are still on a small scale sometimes only use estimates subjective. So sometimes there is a buildup of certain types or shortages of other types of interest. With the application of technology, especially for the application of demand prediction systems, flower farmers can record well for sales, so they can predict demand with a system based on interest sales data. This demand prediction system does not only contain item predictions, but is a management information system that includes item data, sales entries, forecasting, changing photos and changing passwords. By implementing this system, it is expected that flower farmers can increase sales and help with plant businesses in the flower farming community of Blabak Village
PENGENALAN RUMPUT LAUT MENGGUNAKAN EUCLIDEAN DISTANCE BERBASIS EKSTRAKSI FITUR
No full textRumput laut merupakan salah satu komoditas unggulan di Indonesia. Diantaranya mempunyai keunggulan komparatif karena tersedia dalam jumlah yang besar dan beraneka ragam. Semakin banyaknya jenis rumput laut,maka dibutuhkan suatu sistem yang digunakan untuk pengenalan rumput laut dengan proses pelatihan citra rumput laut, penggunaan pixel dari citra secara langsung dapat mengakibatkan banyaknya fitur-fitur citra rumput laut yang tidak dapat terekstraksi dengan baik. Sehingga diperlukan suatu pemrosesan awal yang dapat mengekstraksi fitur-fitur citra dengan baik. Dimana pada penelitian ini digunakan PCA (Pincipal Component Analysis) dan Euclidean Distance. Dari ujicoba kelas A (Sargassum), B (Gracilaria) dan C (Eucheuma Cottoni) diperoleh akurasi sebesar 96.6%, pada dataset 40 data testing 10 masing-masing kelas dan menggunakan dimensi 120
Prediction Of College Student Achievement Based on Educational Background Using Decision Tree Methods
Get PDFCollege student as a product can be used as a reference to show the success of education. This research will build a system prediction of college student achievement based on educational background using decision tree method.The research will be conducted on students of Informatics Engineering Department, Faculty of Engineering, University of Nusantara PGRI Kediri. The objective of this system is to help the new admissions process in the selection of students is based on the predicted results of student achievement and help the department to classify new students based on educational background. The method used to predict student achievement is the algorithm C4.5 decision tree method using several criteria based on the educational background of students before, they arethe uan mathematical value, the uan Indonesianvalue, theuan English value, the majors in the school, and the average report cards in the school of origin. This system will be made based on the web to be more effective, fast and easy to use. This system will produce predictions of student achievement information on Informatics Engineerin
Learning Vector Quantization Image for Identification Adenium
Get PDFInformation and technology are two things that can not be separated and it has become a necessity for human life. Technology development at this time was not only used for intelligence purposes only, but has penetrated the world of holtikurtura. Adenium is one of the plants are much favored by ornamental plants lovers. Many of cultivation adenium who crosses that appear new varieties that have the color and shape are similar to each other. From this case, then made an application that can identify the type of adenium based on the image of that flower. Learning Vector quantization is one of the algorithm that used for clustering. Based on test scenarios were performed, image identification applications Adenium petals produce an accuracy of 86.66% with a number of training dataset of 135 images and datasets with a test as many as 45 images max epoch 10 and learning rate between 0.01 to 0.05
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
Implementation of SOM (Self Organizing Maps) for Identification of Tomato Fruit Maturity
No full textTomat salah satu buah sekaligus sayuran dengan harga yang ekonimis dan sering kali kita jumpai. Harganya yang tidak terlalu mahal dan banyak mengandung vitamin dan mineral serta antioksidan yang tinggi, membuat tomat banyak dibeli dimasyarakat. Sehingga membuat petani buah tomat untuk terus meningkatkan mutu dan kualitas terhadap pelayanan kepada kosumen. Tetapi kadang banyak petani yang menjual buah tomatnya dengan kematangan yang tidak seragam, sehingga kadang yang sudah matang tertindih oleh yang mengkal atau mentah, sehingga banyak yang membusuk. Dari permasalahan ini, maka penulis ingin membuah sebuah aplikasi untuk memilah kematangan buah tomat mentah, mengkal dan matang. Penggunaan metode Self Organizing Map (SOM) ini bertujuan untuk melakukan pengelompokkan antara tomat yang mentah, mengkal dan matang. SOM tidak akan menghentikan proses iterasinya selama jumlah iterasinya belum mencapai target yang diharapkan. Hasil penelitian yang dihasilkan adalah sebuah aplikasi identifikasi kematangan buah tomat untuk mempermudah petani atau masyarakat luas dengan cepat. Implementasi pengujian identifikasi kematangan buah tomat ini adalah 91,11%
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
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