37 research outputs found

    Analisis Gaya Kepemimpinan terhadap Kinerja Team pada Dperfect Planner Wedding Organizer Medan

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    Penelitian ini menggunakan jenis penelitian deskriptif kualitatif dengan menggunakan metode pengumpulan data wawancara dan observasi lapangan. Adapun hasil wawancara dilakukan peneliti secara tidak langsung (via telepon WhatsApp). Dari hasil penelitian ini menunjukkan bahwa gaya kepemimpinan yang saat ini ada di Dperfect Planner Wedding Organizer adalah gaya kepemimpinan demokratis. Gaya kepemimpinan di Dperfect Planner Wedding Organizer saat ini sudah tepat. Kepemimpinan dalam Wedding Organizer ini dalam memecahkan konflik yang terjadi yaitu menggunakan beberapa tahapan menajemen konflik organisasi, akan tetapi pimpinan dalam Wedding Organizer ini sebagai : a) sebagai mediator, b) sebagai collector, c) sebagain informational, dan d) sebagai decision maker. Dengan demikian bahwa dalam konteks manajemen konflik pada Dperfect Planner Wedding Organizer ini menggunakan cara musyawarah untuk mencapai solusi dalam penanganan konflik yang berkenaan dengan event planner ini. Konflik pada dasarnya bukan untuk dihindari melainkan dihadapi untuk mendapatkan solusi yang baik, hal ini hubungan pimpinan dengan team sangat berperan penting dalam penyelesaian konflik pada WO ini

    An Investigation of Economic Consequences of Family Control and Audit Quality of Firms: A Case Study of Pakistan

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    The paper, empirically investigates the impact of family control and audit quality on firms’ performance, over the period of 2007-2014 for the listed firms at the Pakistan Stock Exchange (PSE), using the Pooled OLS, Fixed effect, and Random effect model. For robustness, the case of reverse causality and cross sectional dependency is taken, using GMM, FGLS and PCSE regression methods. The findings suggest that higher audit quality and the family control are associated with higher firms’ performance and findings as these particular estimates are robust for alternative estimation techniques. Overall, the results support the argument presented by alignment hypothesis of agency theory, stewardship theory, resource based view of firms, and the socio-emotional wealth theory

    VCO Enterprise / Ahmad Faisal Mohd...[et.al]

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    VCO Enterprise was incorporated in Jasin, Melaka. This company is incorporated for the purpose of enforce agriculture sector by using pure extraction of coconut oil from pandan variety. This is in compliance with the government vision in "Rancangan Malaysia Ke-9" (RMK-I0) stated where the government encourage the involvement of public sector in development of agriculture sector. This site of our project is stated on 3 acre land which already planted with coconut and located Simpang Kerayong, Jasin, near our office at Jasin town. The nature of our business are manufacturing and selling. As for beginning, we will only using the coconut from our farm as mentioned previously to ensure high quality materials for our products. We are ensuring that our products are highly effective and completely made from all natural ingredients extracted using high technology machineries.. We will target several areas in Melaka such as UiTM KJM, Politeknik Merlimau and few places in Semabok. Details information and certificates will be given along with the products to give brief information for the users about our products specials which are highly guaranteed by associate researchers. We're aiming for a better and conducive growth and return from what we will invest in the business

    A Comparative Analysis of SMS Spam Detection employing Machine Learning Methods

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    In recent times, the increment of mobile phone usage has resulted in a huge number of spam messages. Spammers continuously apply more and more new tricks that cause managing or preventing spam messages a challenging task. The aim of this study is to detect spam message to prevent different cybercrimes as spam messages have become a security threat nowadays. In this paper, studies on SMS spam problems to perform a better accuracy using several different techniques such as Support Vector Machine, K-Nearest Neighbor, Naïve Bayes, Random Forest, Logistic Regression and some more are performed. The result indicated that Support Vector Machine achieved the highest accuracy of 99%, indicating it might be useful as an effective machine learning system for future research.acceptedVersionPeer reviewe

    Storeroom Management Module (SMM) Development for ARCA Web-based System

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    Storeroom is the most important storage area and it must be kept secured as it will be used by college students to keep their goods during semester break. They need to clear up the room before leaving the campus. To impose the security measure of storeroom, college management unit require students that are using the storeroom to write details and particulars before checking in and out the storeroom. This paper presents a development of Storeroom Management Module (SMM) for integration with Attendance Record for College Activities (ARCA) system. The module offers easy process when college staffs and students are dealing with storeroom. Module development involved three main phases which are feasibility study, design and development and module testing. Four components that comprises 17 questionnaires were included in technology acceptance model for module testing. Out of four components tested, component perceived user satisfaction (PUS) had received the highest mean score. This indicated that the developed SMM satisfied users in dealing with storeroom management module

    Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

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    BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

    Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

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    Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication
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