Types Of Data Sources Research Articles

The state of lead scoring models and their impact on sales performance.

Although lead scoring is an essential component of lead management, there is a lack of a comprehensive literature review and a classification framework dedicated to it. Lead scoring is an effective and efficient way of measuring the quality of leads. In addition, as a critical Information Technology tool, a proper lead scoring model acts as an alleviator to weaken the conflicts between sales and marketing functions. Yet, little is known regarding lead scoring models and their impact on sales performance. Lead scoring models are commonly categorized into two classes: traditional and predictive. While the former primarily relies on the experience and knowledge of salespeople and marketers, the latter utilizes data mining models and machine learning algorithms to support the scoring process. This study aims to review and analyze the existing literature on lead scoring models and their impact on sales performance. A systematic literature review was conducted to examine lead scoring models. A total of 44 studies have met the criteria and were included for analysis. Fourteen metrics were identified to measure the impact of lead scoring models on sales performance. With the increased use of data mining and machine learning techniques in the fourth industrial revolution, predictive lead scoring models are expected to replace traditional lead scoring models as they positively impact sales performance. Despite the relative cost of implementing and maintaining predictive lead scoring models, it is still beneficial to supersede traditional lead scoring models, given the higher effectiveness and efficiency of predictive lead scoring models. This study reveals that classification is the most popular data mining model, while decision tree and logistic regression are the most applied algorithms among all the predictive lead scoring models. This study contributes by systematizing and recommending which machine learning method (i.e., supervised and/or unsupervised) shall be used to build predictive lead scoring models based on the integrity of different types of data sources. Additionally, this study offers both theoretical and practical research directions in the lead scoring field.

WORK DISCIPLINE IN IMPROVING EMPLOYEE PERFORMANCE PROVINCIAL WOMEN EMPOWERMENT, CHILD PROTECTION AND POPULATION SERVICE OF EAST JAVA

This research aims to identify and anaIyze how work discipIine and what obstacIes in improving the performance of empIoyees at the ProvinciaI Women Empowerment, ChiId Protection and PopuIation Service of East Java. The method used in this research is quaIitative, which is described in detaiI through interviews with informants. This research uses two types of data sources, primary and secondary data sources. The data is anaIyzed descriptiveIy quaIitativeIy, which means that the data obtained from observations, interviews, and documentation is processed into information that can draw concIusions. The resuIts of the research show that the IeveI of empIoyee discipIine is quite good. Seen from the indicators used through in-depth interviews with informants, it shows positive resuIts aIthough not without some shortcomings. In the future, it is expected that the Ieadership wiII be abIe to provide strict sanctions to give a deterrent effect to undiscipIined empIoyees. Keywords: work discipIine, empIoyee performance

Epidemiological, Social and Economic Burden of Severe Hypoglycaemia in Patients with Diabetes Mellitus in Portugal: A Structured Literature Review.

The aim of this review was to identify and review studies reporting on the epidemiological, social and economic impact associated with severe hypoglycaemia (SH) in people with diabetes mellitus (DM) in Portugal. A structured literature search was carried out in PubMed and Embase using a predefined selection criterion. Studies published in either Portuguese or English, between January 2010 and February 2021 were deemed eligible for inclusion. Twelve studies including adults (aged ≥ 18years) with type 1 and/or type 2 diabetes mellitus (T1DM/T2DM) were eligible for inclusion. Epidemiological estimates varied according to the setting and type of data source used. The proportion of patients who experienced ≥ 1 SH episode (SHE) in the previous 6-12months varied from 3.1% in adults with T2DM to 36.8% in adults with T1DM. In adults with T2DM the prevalence in a community-based study was highest in the insulin and secretagogue combination treated group (9.1%), while in an emergency department setting prevalence was highest in the insulin-based therapy group and the oral hypoglycaemic agent without secretagogues group (32.0% and 20.0%, respectively). The prevalence of SH in other studies in patients with DM ranged from 0.1% (emergency department) to 18.1% (hospital ward). Patients treated with secretagogues had the highest rates of hospitalisations. In patients with T1DM, the annual rate of SHE was higher in those with impaired hypoglycaemia awareness than in those with intact awareness. Mean total cost (direct and indirect) per SHE ranged from €1493.00 in patients with T2DM treated in an emergency setting to €2608.51 in patients with T1DM who were hospitalised. Hypoglycaemic events, especially SHE, have a significant effect on the life of persons living with DM and their caregivers. Studies show that the prevalence of this acute complication of diabetes is not negligible. In addition to the negative impact on the quality of life, the burden of SHE in Portugal translates into a significant impact on the global health expenditure.

Drug utilization research in Peru: Is real-world data available?

Background: Drug utilization research (DUR) is used to provide evidence-based data to inform policies and make decisions. The aim of this study was to map and describe available data sources for drug utilization research in Peru. Methods: We performed a search of data sources providing information on medication use on the website of governmental organizations. We also conducted a literature review using PubMed, LILACs, and BVS. Independently, researchers screened eligible data sources. Data characterization included accessibility, coverage data provider, type of data sources, and setting. We performed a descriptive analysis. Results: We identified seven data sources, CENAFyT, ICI, IDI (SISMED), and ENSUSALUD from MINSA, and CRI-ESSALUD, SGSS/ESSI, and ENSSA from ESSALUD. These presented information on adverse drug reactions (n = 2), drug consumption, and distribution (n = 2), prescription and drug dispensing (n = 1), and surveys addressed to medication users (n = 2). ENSUSALUD was the only data source publicly available. VIGIFLOW and ENSUSALUD have a national granularity from the public and private sectors. The setting of the data sources was both hospital and ambulatory care. Two data sources have individual-level data on adverse drug reactions and one on prescriptions. Four studies on drug utilization research in Peru were derived from ENSUSALUD. Conclusion: In Peru, few data sources are available for drug utilization research. There is an increased need to monitor medications for decision-making purposes. Local and international initiatives and partnerships of the government with academic institutions and the private sector might be a good strategy to increase the transparency of health data and for supporting decision-making using drug utilization research.

Economic Recovery: A Bibliometric Study

Abstract: Purpose: This study aims to determine the characteristics of previous studies on economic recovery Research Methodology: This research is a bibliometric study using the charting the field method developed by Hesford et al., (2006). Results: 46 articles from 2021-2022 were obtained from the Sinta accredited journal with the keyword economic recovery. The majority articles are from 2021, Sinta 5, economic journal, used qualitative research, secondary data sources. Last, three strategies most discussed were empowerment of MSMEs, the provision of social assistance, and the use of Islamic financial instruments. Limitations: This study uses only two of the three classifications developed by Hesford et al (2006). Contribution: The novelty in this research is to propose a new classification based on the focus and scope of journals, Sinta's accreditation rating, types of research, types of data sources, data collection methods, and economic recovery strategies discussed. Keywords: 1. Econometric Recovery 2. Covid-19 3. Bibliometrics

The evolving role of data & safety monitoring boards for real-world clinical trials.

Clinical trials provide the "gold standard" evidence for advancing the practice of medicine, even as they evolve to integrate real-world data sources. Modern clinical trials are increasingly incorporating real-world data sources - data not intended for research and often collected in free-living contexts. We refer to trials that incorporate real-world data sources as real-world trials. Such trials may have the potential to enhance the generalizability of findings, facilitate pragmatic study designs, and evaluate real-world effectiveness. However, key differences in the design, conduct, and implementation of real-world vs traditional trials have ramifications in data management that can threaten their desired rigor. Three examples of real-world trials that leverage different types of data sources - wearables, medical devices, and electronic health records are described. Key insights applicable to all three trials in their relationship to Data and Safety Monitoring Boards (DSMBs) are derived. Insight and recommendations are given on four topic areas: A. Charge of the DSMB; B. Composition of the DSMB; C. Pre-launch Activities; and D. Post-launch Activities. We recommend stronger and additional focus on data integrity. Clinical trials can benefit from incorporating real-world data sources, potentially increasing the generalizability of findings and overall trial scale and efficiency. The data, however, present a level of informatic complexity that relies heavily on a robust data science infrastructure. The nature of monitoring the data and safety must evolve to adapt to new trial scenarios to protect the rigor of clinical trials.

START: Sustainable transport awareness recommendation tool

Sustainable mobility has become one of the most pressing issues in modern society. The need to raise awareness of climate change, combined with the overcrowding of metropolitan and urban areas, has produced a situation that requires an urgent solution. Some earlier approaches dealt primarily with transport-related issues, while some conceptual models attempted to increase the appeal of public transport by linking the services provided by public transport operators to a variety of city services. A practical and empirical answer, on the other hand, has not yet been given. This research addresses these issues by taking a holistic approach and presenting a personalized recommendation system based on users' everyday activities as well as their mobility profiles. The crossing of both sources of information allows for a more user-centric experience, ensuring that the offers presented are adapted to the tastes of customers. The potential of such a system is proven using data from Porto, Portugal. Two types of data sources were used to obtain more accurate results: data from the automated fare collection system of the Porto Metropolitan Area, Portugal, and data from city services taken from Google Places. The fundamental idea behind tackling this problem is to encourage people to use public transport by providing them with incentives such as discounts, promotions and service offers to encourage them to use cleaner and more efficient modes of transport.

Driver Behavior Classification: A Systematic Literature Review

Driver behavior is receiving increasing attention as a result of the staggering number of road accidents. Many road safety reports regard human behavior as the most important factor in the likelihood of accidents. The detection and classification of aggressive or abnormal driver behavior is an essential requirement in the real world to avoid deadly road accidents and to protect road users. The automatic detection of the driver’s behavior aids in the prevention of dangerous situations for the driver and all other participants in the driving environment, as well as the implementation of corrective measures. This paper presents a systematic literature review (SLR) of the classification of driver behavior. The study aim is to highlight and analyze the different types of driver behavior, data sources, datasets, features, and artificial intelligence techniques used to classify driver behavior and its performance. Based on the results obtained from the analysis of the selected works, we aim to identify the key contributions and challenges of studying driver behavior classification and propose potential avenues for further directions for practitioners and researchers.

Health Services for Health Social Security Administrative Body Participants at the Hingk Health Center, West Papua Province, Indonesia

Background: To improve services for members of the Social Security Administrative Body at the Hingk Community Health Center in West Papua Province, it is highly hoped that the leadership of the Community Health Center can improve services for participants of the Health Social Security Administering Body. This study aims to obtain information about the services of members of the Health Social Security Administration at the Hingk Community Health Center, West Papua Province, Indonesia. Subjects and Method: This study uses a qualitative descriptive approach. In this study, the authors used two key informants and main informant to dig for indepth information related to health services in terms of waiting time, health service facilities and payment mechanisms for members of the Social Security Administering Body in the working area of the Hingk Health Center. The instrument used by researchers in collecting data is the researchers themselves. The types of data and data sources that the researchers will collect in this study consist of primary data and secondary data. Data collection techniques were carried out through observation, in-depth interviews and documentation. While the stages of qualitative data analysis were carried out by researchers with three stages of the process, namely data reduction, data categorization, and data interpretation. Results: The results of the study illustrate that the level of service for members of the Social Security Administering Body at the Hingk Community Health Center in West Papua Province, waiting time, and facilities are still relatively low for services for participants of the Health Social Security Administering Body. This was revealed during in-depth interviews that most of the patients of the Health Social Security Administering Body waited a long time to be examined, and patients were dissatisfied with the facilities provided by health workers. Conclusion: The long waiting time for patient examinations would cause complaints from patients and the lack of availability of facilities provided by the Public Health Center would cause patients to feel less satisfied with the services provided. Keywords: waiting time, service facilities, financing mechanisms

Strategi Untuk Meningkatkan Minat Calon Mahasiswa Baru Studi Pada Fakultas Ushuluddin dan Studi Islam UIN Sumatera Utara Medan

<em>The State Islamic University </em>(UINSU) <em>has developed rapidly in terms of development and in improving human resources. Data on the number of students from year to year fluactuates especially in the Faculty of Ushuluddin and Islamic Studies </em>(FUSI).<em> This research uses descriptive qualitative method with promotion mix theory, where data is obtained through two types of data sources, namely primary data and secondary data. Data collection techniques used are interviews, observations, and documentation. In this study, the data triangulation technique was used by means of source triangulation. Based on the results of the researchthat the author did, the promotional strategies used are: 1) Advertising through print and electronic media in the form of stickers, brochures, social media, and the faculty’s official website, 2) Sales promotion by offering scholarships and holding events with various prizes, 3) Personal selling is the most effective way by the Faculty because it is directly (face to face) by meeting schools inside and outside the city, 4) publicity is a way to use media to cover Faculty activities related to new student admissions, as well as media used as promotional tools, namely print media and electronic media. Factors that hinder promotional activities include lack of budget funds, lack of human resources and restrictions on activities during the covid-19 pandemic.</em>

Methodology for the generation of 3D city models and integration of HBIM models in GIS: Case studies

The Architecture, Engineering and Construction (AEC) industry increasingly demands the availability of semantic and interactive digital models with the environment, capable of simulating decision-making during its life cycle and representing the results achieved. This motivates the need to develop models that integrate spatial information (GIS) and construction information (HBIM), favouring the achievement of the Smart City and Digital Twin concepts. GIS & HBIM platform is a useful tool, with potential applications in the world of built heritage; but it still has certain inefficiencies related to interoperability, the semantics of the formats and the geometry of the models. The objective of this contribution is to suggest a procedure for the generation of 3D visualization models of existing cities by integrating HBIM models in GIS environments. For this, three software and two types of data sources (existing plans and point cloud) are used. The methodology is tested in four locations of different dimensions, managing to identify the advantages/disadvantages of each application.

Methodology for the generation of 3D city models and integration of HBIM models in GIS: Case studies

The Architecture, Engineering and Construction (AEC) industry increasingly demands the availability of semantic and interactive digital models with the environment, capable of simulating decision-making during its life cycle and representing the results achieved. This motivates the need to develop models that integrate spatial information (GIS) and construction information (HBIM), favouring the achievement of the Smart City and Digital Twin concepts. GIS & HBIM platform is a useful tool, with potential applications in the world of built heritage; but it still has certain inefficiencies related to interoperability, the semantics of the formats and the geometry of the models. The objective of this contribution is to suggest a procedure for the generation of 3D visualization models of existing cities by integrating HBIM models in GIS environments. For this, three software and two types of data sources (existing plans and point cloud) are used. The methodology is tested in four locations of different dimensions, managing to identify the advantages/disadvantages of each application.

Hourly Water Level Forecasting in an Hydroelectric Basin Using Spatial Interpolation and Artificial Intelligence.

In this work, a new hydroelectric basin modelling approach is described and applied to the Pontecosi basin, Italy. Several types of data sources were used to learn the model: a number of weather stations, satellite observations, the reanalysis dataset, and basin data. With the goal of predicting the water level of the basin, the model was composed by three cascade modules. Firstly, different spatial interpolation methods, such as Kriging, Radial Basis Function, and Natural Neighbours, were compared and applied to interpolate the weather stations data nearby the basin area to infer the main environmental variables (air temperature, air humidity, precipitation, and wind speed) in the basin area. Then, using these variables as inputs, a neural network was trained to predict the mean soil moisture concentration over the area, also to improve the low availability due to satellite orbits. Finally, a non-linear auto regressive exogenous input (NARX) model was trained to simulate the basin level with different prediction horizons, using the data from the previous modules and past basin data (water level, discharge flow rate, and turbine flow rate). Accurate predictions of the basin water level were achieved within 1 to 6 h ahead, with mean absolute errors (MAE) between 2 cm and 10 cm, respectively.

Manajemen Pondok Pesantren Aulia Cendekia Palembang Untuk Meningkatkan Keterampilan Santri Dalam Berdakwah

The purpose of this study was to find out the management of the Aulia Cendekia Palembang Islamic boarding school, and the efforts made by the Aulia Cendekia Paalembang Islamic boarding school to improve the skills of the Santri in preaching. This research is a qualitative research with a descriptive approach. The types of data sources for this research are primary and secondary data sources, the primary data sources in this study are the leadership of the Islamic boarding school, the chairman of the Aulia Cendekia Palembang Islamic boarding school dormitory, Ustadz / Ustadzah da'wah supervisors, students and female students of class XII MA, and administrators related to preaching coaches . Data collection techniques in this study used interviews, observation and documentation and data analysis in this study used data reduction, data presentation, and drawing conclusions. The results of this study are that the Aulia Cendekia Islamic boarding school in Palembang has implemented management principles by implementing daily activities for each student and female student, at the Aulia Cendekia Islamic boarding school there are also planning and evaluation to make it better, besides that there are also economic aspects, aspects education, aspects of da'wah, and aspects in the pesantren environment. There is a program for the XII MA, namely the ni'hai program, there are also weekly muhadoroh and monthly muhadoroh kubro. Da'wah training is very important for students. The efforts made by Islamic boarding schools are so that students and female students can appear in society, following the best female students and female students for competitions in order to train their abilities. self-quality, allows them to appear in society, and can potentially be part of the da'wah. The inhibiting factor is the lack of library facilities so that students and female students do not look for materials for da'wah training, nor is the motivation of human resources to take part in preaching training.

Maternal Centric Measurement and Data Gaps in Addressing Maternal Morbidities: A Scoping Review.

The objectives of this project were to (1) describe maternal-centric measures and survey data which are publicly available to evaluate the incidence, frequency, and distribution of maternal morbidity in the postpartum period, and (2) to identify postpartum care quality improvement targets and outline the types of measurement and data required to support them. We conducted a scoping review of two types of data sources: maternal health quality measures used by providers and payers and nationally-representative survey data sets administered by federal agencies. Each source was searched for keywords associated with pregnancy and the postpartum period. We included quality measures and survey questions that are maternal-centric and addressed the postpartum period. We excluded infant-centric measures and data. Quality measures were organized according to the Donabedian quality model. Our analysis demonstrates that existing maternal-centric quality measures and survey data offer limited insight into diagnosis and patient care delivery experiences associated with maternal morbidities during the postpartum period. There is inadequate maternal-centric data on the incidence, frequency, and distribution of postpartum maternal morbidities and associated care use. This gap reduces the ability of research to estimate the incidence of illness and injury among postpartum women and create targeted quality improvement efforts. Our findings highlight the need for quality measure stewards and data sponsors to enhance data collection and methods to become more inclusive of maternal-centric outcomes during the postpartum period.

PENERAPAN KONSEP GREEN TOURISM DALAM PENGEMBANGAN PANTAI KELAN TUBAN SEBAGAI DAYA TARIK WISATA BERKELANJUTAN DI KABUPATEN BADUNG

Kelan Beach is one of the tourist attractions that until now has become a tourist location that is crowded with local and foreign tourists. Tourism is an attraction for tourists visiting Kelan Beach. The problem encountered in this research is that there is no accommodation or tourist attraction so that tourism in Kelan Beach has not developed well and the role of stakeholders in tourism development on Kelan Beach has not been carried out in accordance with the main objectives. This problem will be discussed using the SWOT analysis technique. This research is a qualitative research supported by the types of data and data sources, namely qualitative data and quantitative data as well as primary and secondary data. Data collection techniques used are observation, interviews, questionnaires and documentation. The data analysis technique used is the SWOT analysis technique, namely analyzing internal factors (strengths and weaknesses) and external factors (opportunities and threats) with the help of the Internal-External matrix and the SWOT matrix. In implementing the strategy for developing Kelan Beach as a sustainable tourist attraction, it also applies the principles of Green Tourism which lead to environmental preservation. With the condition of Kelan Beach where the environment still tends to be natural, the application of the principles of environmental preservation is a must. Preservation of the environment around Kelan Beach must involve the local community, government, businessmen and visiting tourists. The government, both regional and village governments, is obliged to issue a policy regarding environmental management around Kelan Beach which is based on the principle of preservation. Communities, entrepreneurs and tourists participate in supervising its implementation and are directly involved in preserving the environment around Kelan Beach. This is very important to implement so that tourism on Kelan Beach can be sustainable

THE ROLE OF PARENTS ON THE FORMING OF CHILDREN'S CHILDREN IN THE FAMILY: THE THEMATIC HADITH STUDY

The purpose of this article is to find out and explain the role of parents in the formation of children's morals in the family, as explained in the hadith of the Prophet Muhammad SAW. This study uses a qualitative method to describe the role of parents in the formation of children's morals in the hadith perspective family. In this study, there are two types of data sources used, primary and secondary. Primary data sources are information collected directly from information sources through informants, while secondary data sources in this study provide supporting information. for example, the results of publications related to research. The data collection technique uses various approaches, namely from the literature which includes not only books but also the results of documentation, magazines, newspapers, especially in the verses of the Qur'an and the hadith of the Prophet Muhammad. Furthermore, the data is processed and sorted for analysis, and then conclusions are drawn. In this article explains, there are four ways the role of parents in fostering children's morals according to the hadith of the Prophet which has been described in the discussion above, including, First, Educating away from the haram. second, instilling honesty in children. Third, greet when meeting someone, and Fourth. Say hello when you enter the house say hello when meeting someone, and Fourth. Say hello when you enter the house say hello when meeting someone, and Fourth. Say hello when you enter the house.

KEPEMIMPINAN KEPALA MADRASAH DALAM MENDUKUNG PENINGKATAN MUTU PENDIDIKAN ISLAM

This research was conducted to: (1) Determine the quality of education in public and private MTs in Gowa Regency, South Sulawesi; (2) Knowing the role of madrasa heads in supporting the improvement of the quality of Islamic education; (3) Knowing the application of the leadership type of madrasah principals in supporting the improvement of the quality of Islamic education; (4) Knowing the implementation of madrasah leadership in supporting the improvement of the quality of Islamic education. This study uses three approaches, phenomenology, management and multiple case studies. The types of data sources in this research consist of primary data and secondary data. Data collection techniques consist of observation, interviews, and documentation. The data analysis technique by data reduction, data presentation, and data verification. The results of this study indicate that: (a) the quality of education at public and private MTs has met 8 (eight) National Education Standards; (b) The role of the madrasa head in supporting the improvement of the quality of Islamic education in public and private MTs; (c) The leadership style of the head of the public and private MTs madrasah uses a democratic leadership style; (d) The strategy of the head of madrasa in improving the quality of Islamic education in the two madrasas has implemented several strategies, namely human resource development programs, curriculum, teacher professionalism, students, facilities and infrastructure, public relations, and fund management (finance).

OP41 Facilitating Dialogue Of Real-World Evidence Use In Health Technology Assessment: Taxonomy Of Question/Data Source Pairings To Support A Registry Of Studies

IntroductionThis paper reports the results of the collaboration within the European initiative of new Reimbursement and aCCess Approaches (EUreccA) which is concerned with the use of real-world evidence (RWE) in health technology assessment (HTA) decision-making. The work grew from the observation of a large, very experienced group of HTA practitioners which found that the use of RWE varied depending on the type of question asked and the particulars of the data source(s) used. We set out to examine how RWE is used in HTA decision-making and to make proposals on its facilitation.MethodsLiterature reviews covering earlier reviews of RWE use, academic papers, and HTA agency websites were combined with case studies involving interviews with decision-makers in four countries (England, France, Italy, Sweden) to identify the circumstances of breakdown of RWE use and to build a categorization of the uses of RWE and associated difficulties. This evidence supported the creation of a taxonomy of pairings of data sources and the questions they were used to address. The face validity of the approach was tested at an advisory board of senior HTA practitioners.ResultsIn total, 27 questions were identified and 10 types of data source, giving 270 pairings. These pairings were linked to relevant methods guidance and to examples of their use, itemizing HTA issues and decisions made. Reports are being prepared for publication, covering the detail of the methods of the literature searches; methods of the country case studies; a description of the taxonomy; and guidance on governance.ConclusionsWhen using RWE in HTA decision-making, the detail of the particular data sources and question addressed matter. Recently, both the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) and the Real-World Transparency Initiative have argued for a registry of the uses of RWE. The work described here offers a starting classification of the material that should be held in such a registry, and which in itself could be developed by the stakeholders, both agencies and companies, that use it, furthering trust and confidence.

PENGARUH KEBIJAKAN MANAJEMEN KEUANGAN TERHADAP NILAI PERUSAHAAN SEKTOR PROPERTY

Policy Funding decisions can be interpreted as decisions concerning the company's financial structure (financial structure). Dividend policy is the distribution of operating results or profits given to shareholders. This study aims to determine whether funding decisions and dividend policy have a simultaneous effect on firm value in the property sector listed on the Indonesia Stock Exchange. The type of data source used in this study is secondary data. librarians. The sampling procedure in this study was non-probability with purposive sampling technique. The method of analysis uses the classical assumption test, multiple linear regression analysis, hypothesis testing, Determinant Coefficient test. Based on the results of the analysis of funding decisions and dividend policy simultaneously and significantly affect the value of the company, partially funding decisions and dividend policy each affect the value of the company.