131 research outputs found

    ANALISIS PENERAPAN SISTEM PEMBAYARAN CASH ON DELIVERY (COD) UNTUK MENINGKATKAN PENJUALAN BISNIS ONLINE PADA APLIKASI MARKETPLACE TOKO DEALS OF THE DAY

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    This research was conducted to find out how the application of the Cash On Delivery (COD) payment system to increase the sales’ Deals Of The Day stores and anu obstacles from the implementation of the Cash On Delivery (COD) payment system.The research method use in this study is a qualitative research method. Data collection techniques used was interviews and observations. The data analysis technique used is qualitative descriptive analysis, namely data collection from various sources is presented to describe all research objects based on the facts in the field related to the implementation of the Cash On Delivery (COD) payment system to increases sales and the constraints of the payment system.From the result of data processing shows the application of the Cash On Delivery (COD) payment system to increase the sales’ Deals Of The Day store is appropriate even though there are some obstacles but it does not reduce the benefits obtaiine

    PENGARUH HARGA DAN KUALITAS PRODUK TERHADAP LOYALITAS PELANGGAN PADA (WARUNG NASI KUD) CIKARANG BARAT

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    This researchaims to analyze the influence of price and product quality towards customers loyalty. It is heldand Warung Nasi KUD West Cikarang. Quantitative research method is used in this researh as the methodof the research, and multiple linear regression is used as the data analysis method. To analyze the data thisresearch uses SPSS 24.0 software for windows. The population of this research is the customers of WarungNasi KUD West Cikarang , while the sample, 60 people, is chosen by using Hair et al. method.The result ofthis research shows that the independent variables, price variable has positive and significant effect 23,4%toward the customers loyalty, product quality variable has positive and significant 52,1% towards thecustomers loyalty. In addition the price and quality variable have contribution 40,91%, and the remaining59,09% is effected by other factors that are not examined in this research

    Professional Peer Support in Online Health Communities

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    This paper investigates whether and what kind of social support exchange in Professional-only Online Health Communities (POHC). Focusing on the recent fast-growing outbreak—Coronavirus Disease 2019 (COVID-19)— we find that healthcare professionals benefit from peer social support in POHCs, particularly by exchanging emotional support and learning from collective experience-based knowledge. Using the Reddit/r/medicine data, we show that posts’ popularity varies depending on the authors’ emotions and informativeness. In particular, a post’s negative emotion and narrative tone have a significant and positive association with the post’s popularity. These findings speak to the important role of POHC associated with healthcare professionals’ integrity during the pandemic

    Improved Decision Model for Evaluating Risks in Construction Projects

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    The paper develops an innovative risk evaluation methodology to address the challenges of multicriteria decision-making problem of project evaluation and selection. The methodology considers the fuzzy analytic network process (FANP) to incorporate the interdependencies of different risk factors, and failure mode and effect analysis (FMEA) to conduct the rating analysis of projects to develop the decision matrix. Finally, evaluation based on the distance from the average solution compares alternative projects and reports the optimal solution. The proposed approach allows project managers to engage in the evaluation process and to use fuzzy linguistic values in the assessment process. A case study from the construction sector is selected to verify the efficacy of the proposed approach over other popular approaches in the literature

    Anthropometric Variables Accurately Predict Dual Energy X-Ray Absorptiometric-Derived Body Composition and Can Be Used to Screen for Diabetes

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    The current world-wide epidemic of obesity has stimulated interest in developing simple screening methods to identify individuals with undiagnosed diabetes mellitus type 2 (DM2) or metabolic syndrome (MS). Prior work utilizing body composition obtained by sophisticated technology has shown that the ratio of abdominal fat to total fat is a good predictor for DM2 or MS. The goals of this study were to determine how well simple anthropometric variables predict the fat mass distribution as determined by dual energy x-ray absorptometry (DXA), and whether these are useful to screen for DM2 or MS within a population. To accomplish this, the body composition of 341 females spanning a wide range of body mass indices and with a 23% prevalence of DM2 and MS was determined using DXA. Stepwise linear regression models incorporating age, weight, height, waistline, and hipline predicted DXA body composition (i.e., fat mass, trunk fat, fat free mass, and total mass) with good accuracy. Using body composition as independent variables, nominal logistic regression was then performed to estimate the probability of DM2. The results show good discrimination with the receiver operating characteristic (ROC) having an area under the curve (AUC) of 0.78. The anthropometrically-derived body composition equations derived from the full DXA study group were then applied to a group of 1153 female patients selected from a general endocrinology practice. Similar to the smaller study group, the ROC from logistical regression using body composition had an AUC of 0.81 for the detection of DM2. These results are superior to screening based on questionnaires and compare favorably with published data derived from invasive testing, e.g., hemoglobin A1c. This anthropometric approach offers promise for the development of simple, inexpensive, non-invasive screening to identify individuals with metabolic dysfunction within large populations

    Sexual Abuse-Current Medico-legal, Forensic and Psychiatric Aspects

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    Abstract Violence against women and minors is a worldwide problem that has not yet been sufficiently acknowledged. There are many obstacles especially when sexual abuses have to be evaluated. These problems are present both when victims of sexual abuse are evaluated and when sex offenders are dealt with, especially when the offenders are juvenile sex offenders (JSO). These issues give cause for great concern about prognosis, and the resulting psychosocial implications, and call for a special effort from the scientific community in identifying appropriate prevention and treatment methods. This chapter is divided into two parts. The first part deals with the forensic and psychiatric features, such as diagnostic and therapeutic/rehabilitative strategies for JSO, while the second part analyzes the legal–medicine aspects related to rape/sexual assault in a European context
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