Analisis Tentang Pemahaman Pajak E-Commerce Pada Pemilik Bisnis Online Sebagai Upaya Kepatuhan Pajak Di Kota Bekasi (Studi Kasus Pada Kpp Pondok Gede)

The phenomenon in this study is the lack of understanding of online business owners regarding e-commerce taxes originating from their business of buying and selling transactions in the digital world, having barriers to socialization for e-commerce taxes, many do not understand their rights and obligations as mandatory taxes, the low trust of taxpayers in the government because they do not feel directly the rewards of the money they pay for the taxes themselves so that there is a perception that the taxes they pay will definitely be misused. The purpose of this study is to see how and to what extent the level of understanding of online business taxpayers at KPP Pratama Pondok Gede regarding ecommerce taxes as an effort to comply with taxes, obstacles from taxpayers and KPP Pratama Pondok Gede, as well as efforts made by taxpayers and KPP Pratama Pondok Gede to increase understanding of their tax obligations. This research uses descriptive research with a qualitative approach. The analytical method used is the Qualitative Data Analysis Method. The results of this study indicate that tax understandinge-commerceonline business owners who are registered at KPP Pratama Pondok Gede are still not optimal, when viewed from the realization of revenue in 2021 they have not been able to reach the target with a percentage of 99.27%. Even though in 2021 the realization of tax revenue has increased from the previous year, it has not been able to reach the predetermined target, in this case KPP Pratama Pondok Gede has human resource constraints, so various efforts have been made to overcome these obstacles, one of which is providing consultation on the Account Representative and Helpdesk at the Pondok Gede KPP Pratama service office

HUBUNGAN KONFORMITAS DENGAN FANATISME SUPORTER KLUB SEPAK BOLA ARSENAL DI KOTA MADIUN

Penelitian ini bertujuan untuk mengetahui hubungan konformitas dengan fanatisme suporter klub sepak bola Arsenal di Kota Madiun. Jumlah subjek dalam penelitian ini adalah 45 orang yang tergabung dalam grup media sosial WhatsApp Arsenal Indonesia Suporter Madiun. Penelitian ini menggunakan metode kuantitatif, dengan menggunakan skala konformitas dan skala fanatisme sebagai alat pengumpul data. Data yang diperoleh dianalisis menggunakan korelasi product moment dari Karl Pearson. Hasil pengujian koefisien korelasi yang diperoleh adalah 0,826 dengan nilai signifikansi p=0,000 (p<0,05). Dengan demikian hasil penelitian ini menunjukan hipotesis diterima dan ada hubungan yang signifikan antara konformitas dengan fanatisme suporter klub sepak bola Arsenal di Kota Madiun

Development of a compact, IoT-enabled electronic nose for breath analysis

In this paper, we report on an in-house developed electronic nose (E-nose) for use with breath analysis. The unit consists of an array of 10 micro-electro-mechanical systems (MEMS) metal oxide (MOX) gas sensors produced by seven manufacturers. Breath sampling of end-tidal breath is achieved using a heated sample tube, capable of monitoring sampling-related parameters, such as carbon dioxide (CO2), humidity, and temperature. A simple mobile app was developed to receive real-time data from the device, using Wi-Fi communication. The system has been tested using chemical standards and exhaled breath samples from healthy volunteers, before and after taking a peppermint capsule. Results from chemical testing indicate that we can separate chemical standards (acetone, isopropanol and 1-propanol) and different concentrations of isobutylene. The analysis of exhaled breath samples demonstrate that we can distinguish between pre- and post-consumption of peppermint capsules; area under the curve (AUC): 0.81, sensitivity: 0.83 (0.59–0.96), specificity: 0.72 (0.47–0.90), p-value: <0.001. The functionality of the developed device has been demonstrated with the testing of chemical standards and a simplified breath study using peppermint capsules. It is our intention to deploy this system in a UK hospital in an upcoming breath research study

The detection of wound infection by ion mobility chemical analysis

Surgical site infection represents a large burden of care in the National Health Service. Current methods for diagnosis include a subjective clinical assessment and wound swab culture that may take several days to return a result. Both techniques are potentially unreliable and result in delays in using targeted antibiotics. Volatile organic compounds (VOCs) are produced by micro-organisms such as those present in an infected wound. This study describes the use of a device to differentiate VOCs produced by an infected wound vs. colonised wound. Malodourous wound dressings were collected from patients, these were a mix of post-operative wounds and vascular leg ulcers. Wound microbiology swabs were taken and antibiotics commenced as clinically appropriate. A control group of soiled, but not malodorous wound dressings were collected from patients who had a split skin graft (SSG) donor site. The analyser used was a G.A.S. GC-IMS. The results from the samples had a sensitivity of 100% and a specificity of 88%, with a positive predictive value of 90%. An area under the curve (AUC) of 91% demonstrates an excellent ability to discriminate those with an infected wound from those without. VOC detection using GC-IMS has the potential to serve as a diagnostic tool for the differentiation of infected and non-infected wounds and facilitate the treatment of wound infections that is cost effective, non-invasive, acceptable to patients, portable, and reliable

A Study on the Implementation of YOLOv4 Algorithm with Hyperparameter Tuning for Car Detection in Unmanned Aerial Vehicle Images

Unmanned Aerial Vehicles (UAVs) for surveillance and monitoring have become more prevalent due to their versatility and mobility. These vehicles capture highresolution images that provide a broad field of view in real-time. Today, enhancing object detection accuracy on images captured by unmanned aerial vehicles (UAVs) has become a significant challenge. Through extensive research, it has been established that the correct setup of hyperparameters is imperative to achieving the highest accuracy in machine learning. Our study introduces a technique that utilizes hyperparameter tuning to implement the YOLOv4 algorithm, enabling the detection of cars in unmanned aerial vehicle images. In general, all scenarios of this study have different accuracy results, which have implications for their detectability. Thus, scenario 3 of YOLOv4 hyperparameter tuning is the best model accuracy. Our approach utilizes the PSU Aerial Car Images Dataset from previous studies. During this research, accuracy values were obtained through testing at the model validation stage rather than at the testing stage. In this study, we achieved a validation performance of the detection model by using a validation dataset proportion of 20%. Based on our research, it has been revealed that the YOLOv4 algorithm is a highly efficient car detection system when it comes to unmanned aerial vehicle images. Through rigorous testing of multiple hyperparameter tuning scenarios, we achieved an exceptional accuracy of 99.02% in the optimal model scenario, which utilized YOLOv4. Similarly, in replicating a research paper's hyperparameter tuning methods on YOLOv3, the highest accuracy of 98.40% was attained in scenario 2

Volatile organic compound analysis, a new tool in the quest for preterm birth prediction—an observational cohort study

Preterm birth is the leading cause of death worldwide in children under five years. Due to its complex multifactorial nature, prediction is a challenge. Current research is aiming to develop accurate predictive models using patient history, ultrasound and biochemical markers. Volatile organic compound (VOC) analysis is an approach, which has good diagnostic potential to predict many disease states. Analysis of VOCs can reflect both the microbiome and host response to a condition. We aimed to ascertain if VOC analysis of vaginal swabs, taken throughout pregnancy, could predict which women go on to deliver preterm. Our prospective observational cohort study demonstrates that VOC analysis of vaginal swabs, taken in the midtrimester, is a fair test (AUC 0.79) for preterm prediction, with a sensitivity of 0.66 (95%CI 0.56–0.75) and specificity 0.89 (95%CI 0.82–0.94). Using vaginal swabs taken closest to delivery, VOC analysis is a good test (AUC 0.84) for the prediction of preterm birth with a sensitivity of 0.73 (95%CI 0.64–0.81) and specificity of 0.90 (95%CI 0.82–0.95). Consequently, VOC analysis of vaginal swabs has potential to be used as a predictive tool. With further work it could be considered as an additional component in models for predicting preterm birth

Detection of Group B Streptococcus in pregnancy by vaginal volatile organic compound analysis : a prospective exploratory study

Our objective was to assess whether volatile organic compound (VOC) analysis of vaginal swabs can detect maternal Group B Streptococcus (GBS) during pregnancy in a prospective exploratory study. Around 243 women attending a high-risk antenatal clinic at one university teaching hospital in the UK consented to take part and provide vaginal swabs throughout pregnancy. VOC analysis of vaginal swabs was undertaken and compared with the reference standard of GBS detected using enrichment culture method. The chemical components that emanated from the vaginal swabs were measured by gas chromatograph ion mobility spectrometry. This platform has both high sensitivity and good specificity to a range of chemical compounds. Our main outcome was to determine the sensitivity and specificity of VOC analysis for the detection of maternal GBS in vaginal swabs during pregnancy. Our study has demonstrated that the sensitivity and specificity of the VOC analysis by GC–IMS for the detection of GBS from vaginal swabs was 0.81 (95% confidence interval [CI], 0.71–0.89) and 0.97 (95% CI, 0.91–1) respectively. We conclude that the use of VOCs as biomarkers for the detection of maternal GBS in the vagina is a novel tool. As this test produces results within minutes and is of low unit test cost it has the potential to be used in clinical settings, where fast diagnosis is important, for example, a patient in early labour

Prevalence of diabetes distress and associated factors among patients with diabetes using antihypertensive medications in community health centres in Bandung City, Indonesia

Diabetes distress is common among patients with type 2 diabetes mellitus (T2DM), which remains unrecognized in primary care settings. A higher level of diabetes distress was found among T2DM patients with comorbidities. The objectives of this study are to assess the prevalence rate of diabetes distress and its association with sociodemographic factors among T2DM patients using antihypertensive medication in Bandung City, Indonesia. An observational cross-sectional survey was performed in six community health centres in Bandung City, Indonesia, among T2DM patients aged at least 18 years who were using antihypertensive medications. Diabetes distress subscales (emotional, regimen, interpersonal, and physician-related distress) were evaluated using the validated Diabetes Distress Scale. Pearson χ2 and Mann–Whitney tests were performed to assess the associations of patients’ sociodemographic factors (age, gender, insurance type, education, and duration since diagnosed with diabetes and hypertension) with diabetes distress. Of 105 patients who participated and completed the survey (response rate 93.8%), most of them were female and were aged 60-69 years. A total of 38 patients (36.2%) had moderate-high diabetes distress with emotional (56.2%) and regimen (53.3%) distress as the most commonly reported distress. Moderate-high emotional and regimen diabetes distress were significantly higher among the elderly (p 0.014) and patients who could not afford to pay the health insurance premium (p 0.012). Emotional and regimen distress as dominant forms of diabetes distress was observed among T2DM patients using antihypertensive medications. A routine diabetes distress assessment is needed in T2DM patients with comorbidity in primary care settings