1,720,989 research outputs found
Optimasi Routing Pada Metropolitan Mesh Network Menggunakan Adaptive Mutation Genetic Algorithm (AMGA)
Full text linkPada jaringan dinamis dan sangat besar seperti Metropolitan Mesh Network (MMN),
routing menjadi sangat kompleks karena banyak potensi dalam pertengahan perjalanan suatu
paket dapat terhalang sebelum mencapai tujuannya. Selain itu, pengguna pun dapat masuk
dan keluar dari topologi jaringan. Sehingga dibutuhkan algoritma routing yang baik dan
mampu menekan waktu dalam update jaringan ataupun jika terjadi kesalahan dalam
jaringan. Permasalahan routing dapat direpresentasikan sebagai masalah jalur terpendek
untuk memudahkan penyelesaiannya. Pada paper ini dihasilkan bahwa Adaptive Mutation
Genetic Algorithm (AMGA) mampu mengoptimalkan routing pada MMN dengan
menentukan probabilitas mutasi sebesar 0.25, probabiltas crossover sebesar 0.75, batas
generasi sebesar 50 dan ukuran populasi (nind) sebesar 100 sehingga mampu mengurangi
atau menghindari adanya premature convergence
PENERAPAN DEEP LEARNING UNTUK PREDIKSI KASUS AKTIF COVID-19
No full textCoronavirus disease (Covid-19) is increasingly spreading in Indonesia, so it requires an approach to predict its spread. One approach method that is often used is the Deep Learning (DL) method. DL is a branch of Machine Learning (ML) which is modeled based on the human nervous system. In this study, the prediction of active Covid-19 cases was resolved using the DL method. The dataset used is 260 data with 10 parameters. DL is able to provide an accurate prediction of active cases of Covid-19 with an MSE of 0.032 and an accuracy of 81.333%
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
Klasifikasi pendonor darah potensial menggunakan pendekatan algoritmepembelajaran mesin
No full textAbstract – Blood donation is the process of takingblood from someone used for blood transfusions.Blood type, sex, age, blood pressure, and hemoglobinare blood donor criteria that must be met andprocessed manually to classify blood donor eligibility.The manual process resulted in an irregular bloodsupply because blood donor candidates did not meetthe criteria. This study implements machine learningalgorithms includes kNN, naïve Bayes, and neuralnetwork methods to determine the eligibility of blooddonors. This study used 600 training data divided intotwo classes, namely potential and non-potentialdonors. The test results show that the accuracy of theneural network is 84.3 %, higher than kNN and naïveBayes, respectively of 75 % and 84.17 %. It indicatesthat the neural network method outperformscomparing with kNN and naïve Baye
Sentiment Analysis of Covid-19 Vaccine Tweets Utilizing Naïve Bayes
No full textCOVID-19 is acknowledged as a transmitted from one person to another through contact, coughing, and
sneezing. Twitter has served as one of the media outlets to raise awareness regarding COVID-19 problems. One of the
government's objectives, based on the rising distribution, is pursued to preserve immunizations in stock. Hence, the vaccine
information has become adequately available. However, immunization has sparked a range of reactions, including support
and objection for vaccination. Attempts require a mechanism to distinguish tweets addressing immunization-related
information. One notable method includes sentiment analysis, expressing a statement's negative, neutral, and positive
feelings. A total of 5200 datasets were employed, with 4000 datasets classified as neutral, 300 datasets as negative, and
900 datasets as positive. The Naïve Bayes method and the TF-IDF (Term Frequency Inverse Document Frequency) word
weighting strategy are proposed to model the COVID-19 vaccine dataset, by comparing the three models of: Gaussian,
Multinomial, and TF-IDF (Term Frequency Inverse Document Frequency). According to study employing Naïve Bayes,
the best model employing Bernoulli Naive Bayes is 80% with a data splitting of 30%
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
Sistem Keamanan Multi Mail Server dengan Teknik Enkripsi OPENPGP pada Zimbra Exchange Open Source Software
Full text linkSurat elektronik atau email merupakan media komunikasi yang sangat populer. Untuk mengirim dan menerima email, diperlukan sebuah penyedia (server) yang di dalamnya terdapat layanan email. Zimbra Collaboration Suite (ZCS) merupakan salah satu aplikasi mail server powerfull yang dapat dipergunakan sebagai aplikasi mail server dalam jumlah user puluhan hingga ribuan. Pada penelitian ini, sistem enkripsi pada Zimbra multiple-mail server menggunakan metode OpenPGP diimplementasikan untuk mengamankan isi email yang dikirim maupun yang diterima, yaitu dengan memanfaatkan public key dan private key. Hasil pengujian menunjukkan metode OpenPGP mampu bekerja dengan baik untuk keamanan sistem pengiriman dan atau penerimaan email pada multi mail server. AbstractElectronic mail or e-mail is a very popular communication medium. To send and receive e-mails, a provider (server) is needed in which there is an e-mail service. Zimbra Collaboration Suite (ZCS) is one powerful mail server application that can be used as a mail server application in the number of users from tens to thousands. In this study, the encryption system on the Zimbra multiple-mail server uses the OpenPGP method to be implemented to secure the contents of e-mails sent and received, namely by using the public key and private key. The test results show that the OpenPGP method works well for the security of the email sending/receiving system on a multi-mail server
PEMBERDAYAAN KELOMPOK MASYARAKAT GOTONG ROYONG SEJAHTERA DALAM PENGEMBANGAN PRODUKSI KERIPIK UBI DAN KACANG GORENG DI DESA KROMENGAN
Full text linkBerdasarkan sumber Dinas Pemberdayaan Masyarakat dan Desa Kabupaten Malang, Kecamatan Kromengan memiliki kelompok PKK sebanyak 16 kelompok. Kelompok PKK tersebut mayoritas berisi ibu rumah tangga meskipun ada beberapa ibu yang bekerja. Hal ini menunjukkan bahwa masih ada penduduk Kecamatan Kromengan yang belum bekerja. Sehingga ibu-ibu rumah tangga adalah kelompok yang memungkinkan untuk diberdayakan dengan baik, maka diharapakan ibu-ibu rumah tangga ini mampu menghasilkan suatu produk yang memiliki nilai ekonomis sehingga mampu meningkatkan ekonomi keluarganya. Keberadaan ibu-ibu ini merupakan salah satu potensi untuk bisa mengembangkan Kelompok Masyarakat “Gotong Royong Sejahtera”. Kelompok masyarakat Gotong Royong Sejahtera memproduksi makanan ringan seperti keripik talas dan kacang goreng. Kelompok masyarakat ini memiliki kendala dalam proses pembuatan talas dan gorengan kacang, kemasan dan pemasaran yang kurang menarik, namun masih menyerahkan penjualan kepada pengusaha lokal. Oleh karena itu, layanan ini bertujuan untuk memberikan solusi atas permasalahan tersebut dengan memberikan bantuan peralatan gorengan atau alat sangrai makanan khususnya kacang dan keripik talas. Pengabdi telah melakukan pengabdian dan memberikan alat yang membantu meningkatkan hasil produksi yang berkualitas sehingga dapat meningkatkan pendapatan mitra
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