scholarly journals Analisis dan Perancangan Sistem Basis Data pada Rumah Sakit

2010 ◽  
Vol 1 (1) ◽  
pp. 204
Author(s):  
Indrajani Indrajani
Keyword(s):  
Health Services ◽  
Information Needs ◽  
Database Design ◽  
Database System ◽  
Customer Relationship ◽  
Literature Study ◽  
Customer Data ◽  
Using Data ◽  
Customer Satisfaction And Loyalty ◽  
Improve Health

The purpose of this study is to analyze and design a database to support the information needs of hospitals, especially in Customer Relationship Management (CRM). The method used is the method of collecting data by using data searching techniques that include interviews, document study, observation and literature study. Then the research uses the methods of analysis and database design database design that includes conceptual, logical, and physical. The conclusion the database system capable of storing data is integrated, hospital information needs, and improve health services to the customers in this patient in particular and society in general. Conclusions that can be gained from this research is the existence of this database system so the hospital can manage customer data and conducted traksaksi customers, improve the effectiveness in obtaining customer satisfaction and loyalty where customers are able to promote his experience to new customers, and become a hospital options through improved health services to the community.

scholarly journals Perancangan Sistem Basis Data pada Klinik

2011 ◽  
Vol 2 (1) ◽  
pp. 218 ◽  
Author(s):  
Indrajani Indrajani
Keyword(s):  
Data Collection ◽  
Health Services ◽  
Information Needs ◽  
Database Design ◽  
Database System ◽  
Physical Design ◽  
Study Analysis ◽  
Analysis Method ◽  
Literature Study ◽  
Search Data

The purpose of this research is to analyze and design a database to support Clinic information needs. The methods used in this research are data collection, which uses the search data techniques that includes interviews, documentation, observation, literature study, analysis method and database design that includes conceptual, logical, and physical design. The result of this research is a database system that can save data integrated, clinic information needs, and health services improvement which are patients and community in general. The conclusions that can be drawn from this research are the existence of this database system, so the clinic can manage patient data and checkup transaction, treatment, and payment. 

scholarly journals Membangun Basis Data Posyandu Menuju Indonesia Sehat Sentosa

2013 ◽  
Vol 4 (2) ◽  
pp. 618 ◽  
Author(s):  
Indrajani Indrajani
Keyword(s):  
Information Needs ◽  
Database Design ◽  
Database System ◽  
Physical Design ◽  
Study Analysis ◽  
Literature Study ◽  
Search Data

The purpose of this research is to analyze and design a database to support Pos Pelayanan Terpadu (POSYANDU). Search data techniques implemented include interviews, documentation, observation, and literature study. Analysis and database design include conceptual, logical, and physical design. The result of this research is a database system that can save integrated data and POSYANDU information needs. Using the database system, PUSKESMAS can manage data of mother and baby’s health and related transactions.

scholarly journals PERANCANGAN SISTEM INFORMASI KUNJUNGAN SALES PADA PELANGGAN TOKO AMEERA

2021 ◽  
Vol 4 (1) ◽  
pp. 43-56
Author(s):  
Rehulina Tarigan ◽  
Yul Hendra ◽  
Hadiatma Hadiatma
Keyword(s):  
Information System ◽  
Information Systems ◽  
New Order ◽  
Literature Study ◽  
Web Based ◽  
Customer Data ◽  
The Status ◽  
Distribution Process ◽  
Using Data ◽  
The Right

The right and appropriate information system is important in managing the company. Ameera Store is a company engaged in the distribution of baby products from various kinds of principles, marketing products on credit and cash to customers. Salesmen who work at the Ameera company have an important role in distributing a product to customers. In each order, the sales and admin records data twice. Customer data and visits can only be seen manually by sales. Therefore, it is necessary to process customer data, visit frequency, order goods and billing. Currently, there is no application for salesmen as reminders on every visit, this raises problems in the form of: frequent interchanges between bills and orders, so that visits are not on target and have an impact on reducing sales value and time effectiveness. Therefore, designing a sales visit information system becomes the basis for managing data. The method used is descriptive analytical method by means of interviews, observation and literature study. For the development of information systems applications using the waterfall methodology and modeling the business process information systems using Data Flow Diagrams (DFD). The research objective is to produce responsive web-based applications in the distribution process. The application of this system will greatly facilitate and benefit more parties, both sellers and buyers. One of the advantages for the seller or sales is that it is more time efficient because you don't have to go to the admin first to find out the schedule of visits that are adjusted to the status of the bill, whether the customer has made a payment or not. Thus, buyers also feel more helpful because sales visits are right on target. The meaning of right on target is a salesperson visiting because it's time for a bill and a new order is made by the customer or buyer.

scholarly journals Marketing Strategy Based on CRM (Customer Relationship Management) at PT. Great Food Prosperity in Tangerang City

2021 ◽  
Vol 4 (5) ◽  
pp. 26-35
Author(s):  
Toto Mujio Mukmin ◽  
Rodhiah Rodhiah ◽  
Wasino Wasino ◽  
Septihani Michella Wijaya ◽  
Patrice Febiyani Metty ◽  
...  
Keyword(s):  
Marketing Strategy ◽  
Customer Service ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Primary Data ◽  
Literature Study ◽  
Customer Data ◽  
Related Data

This study aims to produce a marketing model design based on CRM (Customer Relationship Management), in establishing long-term relationships with retailers and in increasing customer loyalty. The case study was conducted at PT Jaya Pangan Makmur which is engaged in the coffee business with the Harum Sweet brand. The implementation method with literature study, secondary and primary data was carried out to produce a model. The results of the activity show the marketing strategy design model based on CRM (Customer Relationship Management), in establishing long-term relationships with retailers, in introducing the existence of sweet fragrant coffee to the community. It is necessary to use information and communication technology to develop the functions of CRM which include strategic, operational and analytical functions. Customer-centered strategy that aims to win and retain customers, plays a strategic role in attracting and retaining its customers. Operations focuses on automating customer-facing processes such as sales, marketing, and customer service. Analytical CRM transforms customer-related data into customer-based data that is decrypted in the customer database program. It is important for companies to have customer data based, in order to maintain continuity of customers and ultimately reduce costs. The implementation of the Customer Relationship Management (CRM) program will help companies strengthen relationships with customers which can reduce costs and increase productivity and profitability in the business.

scholarly journals Health services for asylum-seekers: evidence from countries of arrival, transit and destination

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
K Bozorgmehr
Keyword(s):  
Public Health ◽  
Health Services ◽  
Health System ◽  
Asylum Seekers ◽  
Health Care Services ◽  
System Level ◽  
The European Union ◽  
Public Health Services ◽  
Using Data ◽  
Improve Health

Abstract Background Systematic assessments of health services for asylum seekers are relevant to identify strengths and weaknesses of responses to migration movements. Building on recent research, the presentation maps and summarises health service responses in Germany and six countries of the European Union and derives lessons learnt. Methods The presentation builds upon three pieces of evidence: 1. A health system assessment of Germany's response to refugee movements in 2015 using data from a national survey among public health services. 2. A scoping study of six EU countries in which 27 semi-structured in-depth interviews with first-line staff and health officials to collect information about existing guidelines and practices at each stage of reception in first-entry (Greece/Italy), transit (Croatia/Slovenia), and destination countries (Austria/Sweden). 3. A study assessing mental health care services in Germany from initial registration to follow-up after transfer in districts. Results The studies highlight system related shortcomings related to coordination of care, lack of standardisation, fragmentation of services and financing structures, inter- and sub-national governance structures, as well as limitations in communication and data collection systems that translate into poor health services, duplication of efforts, and discontinuity of care during the migration trajectory. Conclusions While the studies assessed the situation between 2015 and 2018, structural approaches, innovations and system level reforms will be needed to improve health system responses in the future. Such reforms, however, appear to be absent from the policy discourse so that increased efforts from the public health community are required to strengthen and improve health services for asylum seekers.

scholarly journals A Fault Handling Process for Faults in District Heating Customer Installations

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3169
Author(s):  
Sara Månsson ◽  
Marcus Thern ◽  
Per-Olof Johansson Kallioniemi ◽  
Kerstin Sernhed
Keyword(s):  
Data Analysis ◽  
Fault Detection ◽  
Negative Impact ◽  
District Heating ◽  
Customer Data ◽  
Heating Systems ◽  
Fault Handling ◽  
District Heating Systems ◽  
High Return ◽  
Using Data

Faults in district heating (DH) customer installations cause high return temperatures, which have a negative impact on both current and future district heating systems. Thus, there is a need to detect and correct these faults soon after they occur to minimize their impact on the system. This paper, therefore, suggests a fault handling process for the detection and elimination of faults in DH customer installations. The fault handling process is based on customer data analysis since many faults manifest in customer data. The fault handling process was based on an analysis of the results from the previous fault handling studies, as well as conducting a workshop with experts from the DH industry. During the workshop, different organizational and technical challenges related to fault handling were discussed. The results include a presentation of how the utilities are currently working with fault handling. The results also present an analysis of different organizational aspects that would have to be improved to succeed in fault handling. The paper also includes a suggestion for how a fault handling process based on fault detection using data analysis may be designed. This process may be implemented by utilities in both current and future DH systems that interested in working more actively with faults in their customer installations.

Marketing customer response scoring model based on machine learning data analysis

2020 ◽  
pp. 1-11
Author(s):  
Tang Yan ◽  
Li Pengfei
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Data Extraction ◽  
Machine Learning Algorithms ◽  
Customer Relationship ◽  
Customer Data ◽  
Modeling And Analysis ◽  
Scoring Model ◽  
Model Based ◽  
Learning Data

In marketing, problems such as the increase in customer data, the increase in the difficulty of data extraction and access, the lack of reliability and accuracy of data analysis, the slow efficiency of data processing, and the inability to effectively transform massive amounts of data into valuable information have become increasingly prominent. In order to study the effect of customer response, based on machine learning algorithms, this paper constructs a marketing customer response scoring model based on machine learning data analysis. In the context of supplier customer relationship management, this article analyzes the supplier’s precision marketing status and existing problems and uses its own development and management characteristics to improve marketing strategies. Moreover, this article uses a combination of database and statistical modeling and analysis to try to establish a customer response scoring model suitable for supplier precision marketing. In addition, this article conducts research and analysis with examples. From the research results, it can be seen that the performance of the model constructed in this article is good.

Foundations for Meaningful Consent in Canada’s Digital Health Ecosystem: Findings from a Pan-Canadian Survey (Preprint)

2021 ◽  
Author(s):  
Nelson Shen ◽  
Iman Kassam ◽  
Haoyu Zhao ◽  
Wei Wang ◽  
Sarah Wickham ◽  
...  
Keyword(s):  
Health Services ◽  
Information Needs ◽  
Digital Health ◽  
Healthcare Providers ◽  
Data Access ◽  
Patient Access ◽  
Access Channel ◽  
Patient Consent ◽  
Data Source ◽  
Healthcare Privacy

BACKGROUND Patients are increasingly gaining online access to digital health services and expect to access their data from various sources through a central patient access channel. For digital health services to connect and mutually share data, it is critical to understand patient consent preferences to meet the privacy needs of Canadians. Understanding user consent requirements and information needs is necessary in developing a trustworthy and transparent consent management system to support patient access channels. OBJECTIVE The objective of this study was to understand (1) data control preferences, (2) information needs for consent, and (3) how preferences and needs may vary by different user characteristics. METHODS A secondary analysis of a national survey was completed using a retrospective descriptive study design. The cross-sectional survey, conducted in October 2019, used a series of vignettes and consent scenarios to develop a deeper understanding of Canadians’ privacy perspectives and preferences for consent management. Non-parametric tests, and logistic regression analyses were conducted to identify differences and associations between the various factors. RESULTS Of the 1017 total responses, 70.4% (716/1017) of participants self-identified as potential users. Almost all (672/716, 93.8%) felt the ability to control their data was important, while 53.8% (385/716) believed an “all or none” control at data source level was adequate. Most users prefer new data sources to be accessible by healthcare providers (546/716, 76.3%) and delegated parties (389/716, 54.3%) by default. Users with positive healthcare privacy experiences were more likely than users with poor experiences to grant default access to healthcare providers (OR 2.78, 95%CI 1.34-5.74) and less likely to grant access to no-one (OR 0.31, 95%CI 0.14-0.72). From a list of nine information elements found in consent forms, users selected an average of 5.70 (SD 2.66) and 5.63 (SD 2.84) items to feel informed in consenting to data access by care partners, and commercial digital health service providers respectively. There were significant differences (p<0.05) in information needs between the scenarios. CONCLUSIONS Many survey participants would register and use a patient access channel and believe the ability to control data access is important, especially as it pertains to access by those outside their care. Positive healthcare experiences were a significant factor in this decision, signaling the importance of providing positive healthcare privacy experiences in both physical and digital environments. These findings suggest broad “all-or-none” approach by data source may be accepted; however, approximately one-fifth of users were unable to decide. Although vignettes were used to introduce the questions, this study showed that more context is required for users to make an informed decision. Understanding their information needs will be critical, as these needs varied with use case, highlighting the importance of prioritizing and tailoring information to enable meaningful consent.

scholarly journals Measuring the Efficiency of Health Services Areas in Kingdom of Saudi Arabia Using Data Envelopment Analysis (DEA): A Comparative Study between the Years 2014 and 2006

2017 ◽  
Vol 9 (4) ◽  
pp. 172 ◽  
Author(s):  
Sanaa Mohamed Aly Helal ◽  
Haga Abdelrahman Elimam
Keyword(s):  
Saudi Arabia ◽  
Data Envelopment Analysis ◽  
Health Services ◽  
Production Efficiency ◽  
Data Envelopment ◽  
Kingdom Of Saudi Arabia ◽  
Average Production ◽  
Government Hospitals ◽  
The Government ◽  
Using Data

The study aimed to assess the efficiency of health services provided by the government hospitals in various districts of the Kingdom of Saudi Arabia. The number of beds at hospitals, doctors, nursing staff and paramedical categories were used as inputs for the model. The average productivity efficiency of government hospitals in the districts of the Kingdom of Saudi Arabia in 2014 was 92.3%; whereas, the average internal production efficiency of these districts in the provision of health services through their respective hospitals was 94.7%; and the average external productivity efficiency in the different cities of the districts in Kingdom of the Saudi Arabia was 97.5%. It has been found that the average overall productivity efficiency was 90.2%, concerning the relative efficiency indicators of government hospitals, which were based on the hospitals’ distribution of Saudi Arabian districts in 2006. An analysis of the indicator showed that the average production efficiency of the services provided (internally) by the districts of the Kingdom of Saudi Arabia was 94.7%, and that the average of the external production efficiency for such services was 95.4%. The Data Envelopment Analysis is a successful technique in measuring the performance efficiency of hospitals and it also assists to identify possible improvement and reduction in cost.

scholarly journals KEARIFAN LOKAL DALAM PEMBANGUNAN KOMPLEKS CANDI GUNUNG KAWI

2017 ◽  
Vol 29 (2) ◽  
pp. 105
Author(s):  
A.A Gde Bagus ◽  
Hedwi Prihatmoko
Keyword(s):  
Data Integration ◽  
Qualitative Approach ◽  
Narrative Text ◽  
Archaeological Remains ◽  
Literature Study ◽  
Environmental Preservation ◽  
Material Resources ◽  
Using Data ◽  
Preservation Value

Gunung Kawi Temple is one of the most monumental archaeological remains in Bali originating from the 10th to 11th century. This study aims to determine the values of local wisdom of ancient Balinese society related to the construction and presence of Gunung Kawi Temple. Data were collected through literature study and observation. Analysis was conducted through qualitative approach using data integration and explanation based on theory. Explanation is presented in narrative text. The results of this study indicate that the construction using the concept of cliff temple is an adaptation in addressing the limitations of geography and material resources. This adaptation is a form of ancient Balinese society local wisdom. This local wisdom is also reflected on the environmental preservation value which is related to the function of Gunung Kawi Temple as a religious sacred building. Keywords: gunung kawi, cliff temple, local wisdom, adaptation, enviromental preservation. Kompleks Candi Gunung Kawi merupakan salah satu tinggalan arkeologi paling monumental di Bali yang berasal dari abad ke-10 sampai 11 Masehi. Kajian ini bertujuan untuk mengetahui nilainilai kearifan lokal masyarakat Bali Kuno yang terkait dengan pembangunan dan keberadaan Kompleks Candi Gunung Kawi. Pengumpulan data dilakukan melalui studi kepustakaan dan observasi. Analisis dilakukan melalui pendekatan kualitatif dengan pengintegrasian data dan memaparkan simpulan-simpulan berdasarkan teori. Pembahasan kemudian disajikan dalam bentuk teks naratif. Hasil kajian ini menunjukkan bahwa pembangunan dengan konsep candi tebing merupakan bentuk adaptasi dalam menyikapi keterbatasan geografi dan sumber bahan baku. Adaptasi tersebut merupakan salah satu wujud kearifan lokal masyarakat Bali Kuno. Kearifan lokal tercermin juga dari nilai pelestarian lingkungan yang terkait dengan fungsi Kompleks Candi Gunung Kawi sebagai bangunan suci keagamaan. 

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