2,804 research outputs found

    Visualisasi Data Opini Publik pada Media Sosial Twitter (Studi Kasus : Nusantara Sebagai IKN Indonesia)

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     The capital city has an important role for various aspects of government, the capital city has a function as the center of political power and the economy of a country. In the process, sometimes the head of government of a country moves the capital of the country, either moving it to an existing city or building a new city that was built specifically to become the capital of the country. Like what Indonesia did, which planned to move the country's capital, which was previously in Jakarta, moved to East Kalimantan and built a new city to become the nation's capital with the name Nusantara. The relocation of the capital city was carried out to divide the economic center and the government center which were previously centered in Jakarta into an economic center in Jakarta and a government center in the archipelago. The announcement of the name of Indonesia's new capital city received reactions from the public, with various written opinions being shared through social media. One of the social media channels that is widely used is Twitter. With so many public responses through social media, a process is needed to find out how to respond and form of expression for the announcement of the name of the capital city of the archipelago. One of the processes that can be done is to visualize tweets containing the word "Nusantara" which collected 83604 tweets using data on the number of tweets, posting hours, hashtags that can find out how the public responds to the announcement of the state capital "Nusantara"..Ibukota memiliki peran penting bagi berbagai aspek pemerintaham, ibu kota mempunyai fungsi sebagai pusat kekuasaan politik maupun perekonomian suatu negara. Dalam prosesnya, terkadang kepala pemerintahan sebuah negara memindahkan ibukota negara, baik dipindahkan ke kota yang sudah ada atau membangun kota baru yang dibangun secara khusus untuk menjadi ibu kota negara. Seperti yang dilakukan Indonesia yang berencana memindahkan ibu kota negara yang sebelumnya berada di Jakarta, dipindahkan ke Kalimantan Timur dan membangun kota baru untuk mejadi ibu kota negara dengan nama Nusantara. Pemindahan ibu kota dilakukan untuk membagi pusat ekonomi dan pusat pemerintahan yang sebelumnya terpusat di Jakarta dipisah menjadi pusat ekonomi di Jakarta dan pusat pemerintahan di Nusantara. Pengumuman nama ibu kota baru Indonesia mendapat reaksi dari masyarakat, dengan berbagai opini tulisan yang dibagikan melalui sosial media. Salah satu kanal sosial media yang banyak digunakan adalah Twitter. Dengan banyaknya tanggapan masyarakat melalui social media, perlu sebuah proses untuk mengetahui bagaimana respon dan bentuk ekspresi atas pengumuman nama ibu kota negara Nusantara. Salah satu proses yang bisa dilakukan adalah melakukan visualisasi terhadap tweet yang mengandung kata “Nusantara” yang terkumpul 83604  tweet dengan menggunakan data jumlah tweet, jam posting, hastag yang bisa mengetahui bagaimana respon masyarakat terhadap pengumuman ibu kota negara “Nusantara”

    Population genomic analysis of mango (Mangifera indica) suggests a complex history of domestication

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    Trust Humans have domesticated diverse species from across the plant kingdom, yet much of our foundational knowledge of domestication has come from studies investigating relatively few of the most important annual food crops. Here, we examine the impacts of domestication on genetic diversity in a tropical perennial fruit species, mango (Mangifera indica). We used restriction site associated DNA sequencing to generate genomic single nucleotide polymorphism (SNP) data from 106 mango cultivars from seven geographical regions along with 52 samples of closely related species and unidentified cultivars to identify centers of mango genetic diversity and examine how post-domestication dispersal shaped the geographical distribution of diversity. We identify two gene pools of cultivated mango, representing Indian and Southeast Asian germplasm. We found no significant genetic bottleneck associated with the introduction of mango into new regions of the world. By contrast, we show that mango populations in introduced regions have elevated levels of diversity. Our results suggest that mango has a more complex history of domestication than previously supposed, perhaps including multiple domestication events, hybridization and regional selection. Our work has direct implications for mango breeding and genebank management, and also builds on recent efforts to understand how woody perennial crops respond to domestication

    ANALYSIS OF QUALITY OF SERVICE BANDWIDTH MANAGEMENT ON COMPUTER NETWORK USING MIKROTIK RB951Ui-2HnD

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    Computer networks are now part of every human activity. The use of computer networks is currently experiencing a significant increase due to the Covid-19 pandemic, however, there are still many problems with computer networks, such as what often happens is the slow pace of computer networks in transferring data caused by limited bandwidth or maximum limits. owned by the computer network. For that, we need a computer network bandwidth management method called the QoS (Quality of Service) method. In this method, a tool called the Mikrotik Router-board RB951Ui-2HnD is used to conduct this research. In implementing this system the steps are taken starting from data collection, requirements analysis, system design with flowcharts and system depiction using a star topology, then implementation and unit testing on the user or Client, and testing the computer network system on the Mikrotik Router-board. The results of this study will be explained using statistical tables obtained from testing using the Wireshark applicatio

    Terapan Pengelasan Dasar SMAW Masyarakat Kayang Makmur Desa Bader Kabupaten Madiun

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    Masyarakat Dusun Kayang Makmur, Desa Bader sebagian besar menggantungkanhidupnya dari sektor pertanian, pada sektor pertanian peralatan pertanian banyak yangterbuat dari besi dan baja sehingga dibutuhkan perawatan dan perbaikan dalam bentukpengelasan dasar SMAW. Keterbatasan pendidikan yang diemban masyarakat dalampengelasan masih kurang memadai apabila dilakukan penekanan. Dibutuhkan adanyaprogram kemitraan masyarakat yang membutuhkan keterampilan pengelasan sehingga dapatdikembangkan untuk berwirausaha. Dalam pengabdian ini dilakukan pelatihan yang meliputipemberian teori dan praktik untuk pemahaman pengelasan dasar SMAW masyarakat DesaBader. Melalui program kemitraan masyarakat pengelasan yang mempertimbangkan aspekpertanian dan pendidikan pada bidang pengelasan dapat membantu dalam peningkatankualitas SDM masyarakat Desa Bader

    Penerapan Metode Regresi Linier untuk Memprediksi Permohonan ITAS

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    Izin tinggal sementara yang disingkat ITAS adalah izin yang diberikan kepada orang asing tertentu yang akan tinggal sementara dalam jangka waktu tertentu di wilayah Indonesia. Setiap bulan Kantor Imigrasi Kelas I Khusus Tempat Pemeriksaan Imigrasi (TPI) Ngurah Rai menerima banyak permintaan ITAS dan sering mengalami kekurangan persediaan kartu ITAS. Peramalan jumlah ITAS digunakan untuk membantu Kantor Imigrasi Ngurah Rai untuk memperkirakan jumlah persediaan ITAS. Penelitian ini menggunakan metode Regresi Linier untuk meramalkan persediaan ITAS bulan depan. Sistem ini dirancang menggunakan Data Flow Diagram (DFD), Entity Relationship Diagram (ERD) dan konseptual database berdasarkan metode waterfall sebagai metode pengembangan sistemnya Selanjutnya dikembangkan menggunakan Framework Laravel dan bahasa pemrograman PHP sebagai antarmuka. Database yang digunakan adalah MySQL. Pengguna sistem ini adalah petugas imigrasi yang dapat melakukan pengolahan data seperti ubah, tambah dan hapus pada data pengguna, ITAS, data tenaga kerja asing dan peramalan. Penelitian menghasilkan sistem yang mampu memprediksi jumlah permohonan ITAS dengan metode regresi linier. Perhitungan akurasi kesalahan mempunyai nilai dibawah 10% untuk semua data uji peramalan menggunakan Mean Absolute Percentage Error (MAPE).   Hal ini berarti sistem yang dikembangkan memiliki kemampuan model peramalan yang sangat baik

    Increased Incidence of Suspected Smoke Inhalation During the Coronavirus Disease 2019 Pandemic: A National Database Study

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    The COVID-19 pandemic has forced many Americans to adapt their daily routines. In 2020, there was a significant increase in house fires according to the National Fire Prevention Association (NFPA). The objective of this study was to characterize the changes in suspected smoke inhalations (SSIs) during the first year of the pandemic in the National Emergency Medical Services Information System (NEMSIS). The NEMSIS database was queried for all EMS transports captured between 2017 and 2020. Differences in the incidences of SSIs and fire dispatches in 2020 were estimated using Poisson regression models. There was a 13.4% increase in the incidence of fire dispatches and a 15% increase in SSIs transported in 2020 compared to the previous 3 years. The incidence rate ratio of both fire dispatches (1.271; 95% CI: 1.254-1.288; P \u3c .001) and SSI (1.152; 95% CI: 1.070-1.241; P \u3c .001) was significantly elevated in 2020. The increases in fire dispatches and SSIs observed in the NEMSIS database are in concordance with other literature indicating the increase in fire incidence and morbidity observed during the pandemic. These results should inform fire prevention outreach efforts and resource allocation in burn centers in the event of future pandemic

    Stabilization of angiotensin-(1-7) by key substitution with a cyclic non-natural amino acid

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    Angiotensin-(1-7) [Ang-(1-7)], a heptapeptide hormone of the renin-angiotensin-aldosterone system (RAAS), is a promising candidate as a treatment for cancer that reflects its antiproliferative and anti-angiogenic properties. However, the peptide’s therapeutic potential is limited by the short half-life and low bioavailability resulting from rapid enzymatic metabolism by peptidases including angiotensin-converting enzyme (ACE) and dipeptidyl peptidase 3 (DPP 3). We report the facile assembly of three novel Ang-(1-7) analogues by solid-phase peptide synthesis which incorporates the cyclic non-natural δ-amino acid ACCA. The analogues containing the ACCA substitution at the site of ACE cleavage exhibit complete resistance to human ACE, while substitution at the DDP3 cleavage site provided stability against DPP 3 hydrolysis. Furthermore, the analogues retain the anti-proliferative properties of Ang-(1-7) against the 4T1 and HT-1080 cancer cell lines. These results suggest that ACCA-substituted Ang-(1-7) analogues which show resistance against proteolytic degradation by peptidases known to hydrolyze the native heptapeptide may be novel therapeutics in the treatment of cancer

    Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UK

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    BACKGROUND: Mortality rates in hospitalised patients with COVID-19 in the UK appeared to decline during the first wave of the pandemic. We aimed to quantify potential drivers of this change and identify groups of patients who remain at high risk of dying in hospital. METHODS: In this multicentre prospective observational cohort study, the International Severe Acute Respiratory and Emerging Infections Consortium WHO Clinical Characterisation Protocol UK recruited a prospective cohort of patients with COVID-19 admitted to 247 acute hospitals in England, Scotland, and Wales during the first wave of the pandemic (between March 9 and Aug 2, 2020). We included all patients aged 18 years and older with clinical signs and symptoms of COVID-19 or confirmed COVID-19 (by RT-PCR test) from assumed community-acquired infection. We did a three-way decomposition mediation analysis using natural effects models to explore associations between week of admission and in-hospital mortality, adjusting for confounders (demographics, comorbidities, and severity of illness) and quantifying potential mediators (level of respiratory support and steroid treatment). The primary outcome was weekly in-hospital mortality at 28 days, defined as the proportion of patients who had died within 28 days of admission of all patients admitted in the observed week, and it was assessed in all patients with an outcome. This study is registered with the ISRCTN Registry, ISRCTN66726260. FINDINGS: Between March 9, and Aug 2, 2020, we recruited 80 713 patients, of whom 63 972 were eligible and included in the study. Unadjusted weekly in-hospital mortality declined from 32·3% (95% CI 31·8-32·7) in March 9 to April 26, 2020, to 16·4% (15·0-17·8) in June 15 to Aug 2, 2020. Reductions in mortality were observed in all age groups, in all ethnic groups, for both sexes, and in patients with and without comorbidities. After adjustment, there was a 32% reduction in the risk of mortality per 7-week period (odds ratio [OR] 0·68 [95% CI 0·65-0·71]). The higher proportions of patients with severe disease and comorbidities earlier in the first wave (March and April) than in June and July accounted for 10·2% of this reduction. The use of respiratory support changed during the first wave, with gradually increased use of non-invasive ventilation over the first wave. Changes in respiratory support and use of steroids accounted for 22·2%, OR 0·95 (0·94-0·95) of the reduction in in-hospital mortality. INTERPRETATION: The reduction in in-hospital mortality in patients with COVID-19 during the first wave in the UK was partly accounted for by changes in the case-mix and illness severity. A significant reduction in in-hospital mortality was associated with differences in respiratory support and critical care use, which could partly reflect accrual of clinical knowledge. The remaining improvement in in-hospital mortality is not explained by these factors, and could be associated with changes in community behaviour, inoculum dose, and hospital capacity strain. FUNDING: National Institute for Health Research and the Medical Research Council
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