Binus University Repository

Tamara, Dewi

The Study of Customer Needs
by Dewi Tamara
Submission date: 10-Sep-2019 08:40AM (UTC+0700)
Submission ID: 1169920411
File name: 2019_The_Study_of_Customer_Needs_of_Application-Based_Online.pdf (230.65K)
Word count: 4001
Character count: 23405













8%
SIMILARITY INDEX
8%
INTERNET SOURCES
0%
PUBLICATIONS
2%
STUDENT PAPERS
1 6%
2 1%
3 1%
4 <1%
Exclude quotes On
Exclude bibliography On
Exclude matches < 10 words
The Study of Customer Needs
ORIGINALITY REPORT
PRIMARY SOURCES
eudl.eu
Internet Source
iea.org.uk
Internet Source
www.researchgate.net
Internet Source
econweb.umd.edu
Internet Source


Similarity "The Study Of Customer Needs Of Application-Based Online Transportation in Jakarta"

Furinto, Asnan

This file has been cleaned of potential threats.
If you confirm that the file is coming from a trusted source, you can send the following SHA-256 
hash value to your admin for the original file.
e43c049eaaa48e32acb58a78f15c57b81b1ca910851952972b1a113e2a6bbd20
To view the reconstructed contents, please SCROLL DOWN to next page. 
Short Paper—Analysis of the Effect of Hospital Resources on Patients in Indonesian Hospitals 
Analysis of the Effect of Hospital Resources on Patients in 
Indonesian Hospitals 
https://doi.org/10.3991/ijoe.v15i10.10870 
Yuli Eni (*), Edi Abdurachman, Asnan Furinto, Dezie Warganegara 
Bina Nusantara University, Jakarta, Indonesia 
yulieni.leni@gmail.com 
Abstract—Health is the most important thing in human life. Humans can 
sacrifice anything for health. Health needs to be supported by government facil-
ities, one of which is a hospital. The development of hospitals in Indonesia is 
increasingly rapid. The availability of more hospitals needs to be supported by 
the resources available in the hospital. The problem that occurs at this time is 
that there are still many patients who complain about the lack of availability of 
resources both in terms of doctors, beds that must be included in the waiting 
schedule, medical technicians who sometimes queue up for blood collection, 
administrative processes that take a long time so patients are not immediately 
treated so on. Therefore, this study was conducted to examine the influence of 
resources (building area, general practitioners, specialist doctors, nurses, phar-
macists, medical technicians, health workers, and non-health workers) on pa-
tients (outpatient, inpatient, and emergency room) ) in Indonesian hospitals. The 
method used is multiple regression with the help of SPSS 20. While the data 
taken is the population of all hospitals in Indonesia. The results obtained are 
three, first, building area, bed and medical conditions affect inpatient. Both gen-
eral practitioners, medical technicians, health workers and non-health workers 
influence outpatients. Finally, beds, general practitioners, medical specialists, 
medical technicians, and health workers influence ED patients. Based on the re-
sults of these studies it can be suggested that the main focus for each type of pa-
tient needs to be considered especially those that have a significant effect. 
Keywords—Resources, Patients, Regression, Hospital 
1 Introduction 
Health is an overall condition that includes the physical, mental and social aspects 
of each individual human being [1]. The health industry is one indicator that supports 
economic progress and prosperity. In addition, the health industry is also one of the 
government's priorities because it is related to the quality of human resources. Health 
is the right of all Indonesian people, and the people of Indonesia are entitled to proper 
health facilities. One facility that supports health is the role of hospital growth [2]. 
The growth in the number of hospitals is considered important to meet people's needs. 
Government efforts to support this hospital are carried out to provide health services 
that can be used by the community. The rate of increase in the average per year of the 
iJOE ‒ Vol. 15, No. 10, 2019 121
Short Paper—Analysis of the Effect of Hospital Resources on Patients in Indonesian Hospitals 
hospital is 4.9%. If seen from 2013 and 2017 the average number of increase in the 
number of hospitals reached 5.31%. In line with the growth of hospitals, the need for 
resources in hospitals has also increased. Resources to support hospitals include doc-
tors, beds, pharmacists, nurses, pharmacies, medical technicians, health workers, and 
non-health workers. The average increase in the number of doctors per year reached 
6.72%. If it is associated with the growth in the number of hospitals, the growth in the 
number of doctors is still higher than the growth in the number of hospitals which is 
5.31%. The difference in increase also indicates the existence of inefficient hospital 
conditions. 
2 Literature Review  
Regression analysis is a mathematical model that can be used to determine the pat-
tern of relationships between two or more variables. Regression analysis uses the 
basic concepts of correlation but provides more information by showing a linear rela-
tionship between two variables in the form of equations [3]. 
Regression equation (regression equation) is a mathematical equation that defines 
the relationship between two variables. Using these equations, researchers can esti-
mate the value of the dependent variable based on the value chosen from the inde-
pendent variable. Variables whose value will affect the value of other variables are 
called independent variables, while variables whose values are influenced by the val-
ue of other variables are called dependent variables. 
Regression analysis is more accurate in conducting correlation analysis, because in 
the analysis it is difficult to show the degree of change in a variable to other variables. 
So with regression analysis, forecasting or estimating the value of the dependent vari-
able on the value of the independent variable is more accurate. Because it is a predic-
tion, the predictive value is not always right with the real value, the smaller the level 
of deviation between the predicted value and the real value, the more precise the re-
gression equation is formed.  
3 Methodology / Materials 
This research uses quantitative methods. Quantitative methods are research meth-
ods that are based on positivist philosophy, sampling techniques are generally carried 
out randomly, data collection uses research instruments, data analysis with the aim of 
testing the hypotheses that have been determined. 
The data used is hospital data obtained from the health ministry page data of the 
Republic of Indonesia. Time data collection (Time horizon) for the related variable is 
One Shot Cross-Sectional, which is a study conducted by data taken only once in a 
given period, to answer research questions or research hypotheses. 
The population categories included in this study are types of hospitals which in-
clude general hospitals and special hospitals. Categories of ownership include private 
and public. The accreditation category covers the prime, graduating basic, middle, 
122 http://www.i-joe.org
Short Paper—Analysis of the Effect of Hospital Resources on Patients in Indonesian Hospitals 
primary, plenary. Finally for the category of regions divided into class A (Center), B 
(Province), and C (District). 
4 Results and Findings 
The estimation and testing of the Cobb-Douglas production function is the result of 
processing data between input and output variables that are already in Ln according to 
the following cobb-Douglas function. 
ln Yi =β0 + β1 ln X1,i + β2ln X2,i + β3ln X3,i + β4 ln X4,i + β5 ln X5,i + β6 ln 
X6,I + β7 ln X7,I + β8 ln X8,I + β9 ln X9,I 
Table 1.  Variables and values based on cobb-Douglas function 
Dependent Variable Independent Variable Significant Value 
1. ln Inpatients 
Ln Building area 0.115 
Ln Bed 0.000*** 
Ln General practitioners 0.171 
Ln Medical specialist 0.087* 
Ln Nurse 0.010*** 
Ln Pharmacist 0.713 
Ln Medical Technique 0.005*** 
Ln Health workers 0.787 
Ln Non-Health Workers 0.052* 
2. Ln Outpatient 
Ln Building area 0.075* 
Ln Bed 0.059* 
Ln General practitioners 0.011** 
Ln Medical specialist 0.168 
Ln Nurse 0.188 
Ln Pharmacist 0.643 
Ln Medical Technique 0.000*** 
Ln Health workers 0.232 
Ln Non-Health Workers 0.046** 
3. Ln Emergency Installation 
patient 
Ln Building area 0.13 
Ln Bed 0.17 
Ln General practitioners 0.036** 
Ln Medical specialist 0.827 
Ln Nurse 0.025** 
Ln Pharmacist 0.502 
Ln Medical Technique 0.000*** 
Ln Health workers 0.271 
Ln Non-Health Workers 0.021** 
*) Signifikan Level 10% = 0,10 
**) Signifikan Level 5% = 0,05 
***) Signifikan Level 1% = 0,01 
The results of significance are the results of the influence between the dependent 
variable and the independent variable. The results in the table above are divided into 
3, namely: 
iJOE ‒ Vol. 15, No. 10, 2019 123
Short Paper—Analysis of the Effect of Hospital Resources on Patients in Indonesian Hospitals 
4.1 Inpatients 
Beds, nurses and medical technicians have a value of less than 0.05, it can be con-
cluded that there is a significant influence between beds, nurses and medical techni-
cality on the number of inpatients. 
Whereas for specialists and non-health workers it has a value of less than 0.10, this 
indicates that with an error rate of 10%, there is a significant influence between spe-
cialist doctors and non-health workers with inpatients. 
Based on the results of the decision, it can be concluded that if a patient is an inpa-
tient, the variable that affects the patient's interest in the hospital is from the number 
of beds that are sufficient so that the patient does not have to wait too long to get a 
bed to stay. The second thing that needs to be considered is the specialist who handles 
the inpatients so that the patient can be treated quickly by specialist doctors. Third, the 
number of nurses must also support because inpatients need nurses to control at the 
right time. Finally, medical technics and non-health workers must also be complete to 
handle inpatients. 
4.2 Outpatient 
Variables of Building Area, Bed, General Practitioner, Medical Technique, Non-
Health Workers have a value less than the assumed level of error in this study which 
is 5% and 10% so that there is a significant influence between Variable Area of Build-
ings, Beds, General Practitioners, Medical Technique, Non-Health Workers with 
outpatients. 
Based on the results obtained, it can be concluded that an outpatient can see that 
the hospital is large or not, then the availability of beds, general practitioners, and 
medical technics can be a decision factor for the selection of hospitals by outpatients. 
Then the last is a non-medical technique where outpatients need this energy to quickly 
and accurately complete the administration of the payment process. 
4.3 Emergency installation patient 
General practitioners, nurses, medical technicians, non-health workers have a sig-
nificant influence on ED patients. 
Usually for ED patients, things that need to be considered are the availability of 
general practitioners, nurses and medical technicians who are always available during 
emergencies. So that patients feel quickly handled in emergency conditions. In addi-
tion, non-health workers also have an influence on ED patients, this shows that ED 
patients need an administrative process so that doctors take action more quickly while 
in an emergency. 
5 Conclusion 
Each patient has a different service focus for each patient, outpatient, and patient 
emergency. This can be seen from the results of the significance of each variable. If a 
124 http://www.i-joe.org
Short Paper—Analysis of the Effect of Hospital Resources on Patients in Indonesian Hospitals 
patient is an inpatient, then the variable that affects the patient's interest in the hospital 
is from the number of beds that are sufficient so that the patient does not have to wait 
too long to get a bed to stay. The second thing that needs to be considered is the spe-
cialist who handles the inpatients so that the patient can be treated quickly by special-
ist doctors. Third, the number of nurses must also support because inpatients need 
nurses to control at the right time. Finally, medical technics and non-health workers 
must also be complete to handle inpatients. 
If an outpatient can see that the hospital is large or not, then the availability of 
beds, general practitioners, and medical techniques can be a decision factor for the 
selection of hospitals by outpatients. Then the last is a non-medical technique where 
outpatients need this energy to quickly and accurately complete the administration of 
the payment process. 
Especially for ED patients, things that need to be considered are the availability of 
general practitioners, nurses and medical technicians who are always available during 
emergencies. So that patients feel quickly handled in emergency conditions. In addi-
tion, non-health workers also have an influence on ED patients, this shows that ED 
patients need an administrative process so that doctors take action more quickly while 
in an emergency. 
6 References 
[1] Hn, S. (2015, 12 17). Peranan Sektor Kesehatan dalam Pembangunan. Retrieved from 
www.ajarekonomi.com: https://www.ajarekonomi.com/2015/12/kesehatan-sebagai-inves 
tasi-pembangunan.html 
[2] Syukro, R. (2017, 12 11). Ekonomi. Retrieved from Pendidikan dan Kesehatan Kunci Per-
tumbuhan Ekonomi: https://www.beritasatu.com/ekonomi/467939/pendidikan-dan-
kesehatan-kunci-pertumbuhan-ekonomi. https://doi.org/10.18196/jesp.19.1.2727 
[3] Lind, D. A., Marchal, W. G., & Wathen, S. A. (2018). Statistical Techniques in Business & 
Economics (Seventeenth Edition). New York: McGraw-Hill Education. 
7 Authors 
Yuli Eni is a researcher in the department of management, at the BS Undergradu-
ate Program, Bina Nusantara university . Mail : yulieni.leni@gmail.com 
Edi Abdurachman works for Binus Business School Doctor of Research in Man-
agement. 
Asnan Furinto works for Binus Business School Doctor of Research in Manage-
ment. 
Dezie Warganegara works for Binus Business School Doctor of Research in 
Management. 
Article submitted 2019-02-14. Resubmitted 2019-04-05. Final acceptance 2019-05-15. Final version 
published as submitted by the authors. 
iJOE ‒ Vol. 15, No. 10, 2019 125


Analysis of the Effect of Hospital Resources on Patients in Indonesian Hospitals

Girsang, Abba Suganda

Peer Review "Talk show's business intelligence on television by using social media data in Indonesia"

Check 60 ASTES Talkshow.pdf
by Arta Sundjaja
Submission date: 09-Oct-2019 04:22PM (UTC+0700)
Submission ID: 1102516705
File name: 60_ASTES_Talkshow.pdf (1.03M)
Word count: 4203
Character count: 21979






9%
SIMILARITY INDEX
5%
INTERNET SOURCES
8%
PUBLICATIONS
4%
STUDENT PAPERS
1 3%
2 2%
3 1%
4 1%
5 1%
6 1%
Check 60 ASTES Talkshow.pdf
ORIGINALITY REPORT
PRIMARY SOURCES
Parama Fadli Kurnia, Suharjito. "Business
Intelligence Model to Analyze Social Media
Information", Procedia Computer Science, 2018
Publication
www.astesj.com
Internet Source
Submitted to Universitas Brawijaya
Student Paper
reunir.unir.net
Internet Source
Md. Al-Amin, Md. Saiful Islam, Shapan Das
Uzzal. "Sentiment analysis of Bengali comments
with Word2Vec and sentiment information of
words", 2017 International Conference on
Electrical, Computer and Communication
Engineering (ECCE), 2017
Publication
research.aalto.fi
Internet Source
7 1%
8 1%
Exclude quotes On
Exclude bibliography On
Exclude matches < 1%
Submitted to University of Florida
Student Paper
Ying Fang, Hai Tan, Jun Zhang. "Multi-Strategy
Sentiment Analysis of Consumer Reviews
Based on Semantic Fuzziness", IEEE Access,
2018
Publication


Similarity "Talk show's business intelligence on television by using social media data in Indonesia"

Irony Of Indonesian Internet Shopping Behaviour And What E-Commmerce Should Pursue It

Firm Performance, FinancialI nnovation In Mutual Funds Industry

he Employee Engagement
by Dewi Tamara
Submission date: 10-Sep-2019 08:40AM (UTC+0700)
Submission ID: 1169920399
File name: o_6_June_2019_The_Employee_Engagement_of_Millenial_Employees.pdf (330.58K)
Word count: 7408
Character count: 41563


















26%
SIMILARITY INDEX
21%
INTERNET SOURCES
1%
PUBLICATIONS
24%
STUDENT PAPERS
1 5%
2 2%
3 2%
4 2%
5 1%
6 1%
7 1%
8 1%
9 1%
he Employee Engagement
ORIGINALITY REPORT
PRIMARY SOURCES
Submitted to Webster University
Student Paper
scholarworks.waldenu.edu
Internet Source
www.na-businesspress.com
Internet Source
Submitted to Reykjavík University
Student Paper
Submitted to Utah Valley State College
Student Paper
Submitted to Grand Canyon University
Student Paper
www.theseus.fi
Internet Source
Submitted to Binus University International
Student Paper
euacademic.org
Internet Source
10 1%
11 1%
12 1%
13 1%
14 1%
15 <1%
16 <1%
17 <1%
18 <1%
19 <1%
20 <1%
21 <1%
Submitted to Laureate Higher Education Group
Student Paper
www.ftms.edu.my
Internet Source
Submitted to Argosy University
Student Paper
www.qualtrics.com
Internet Source
waterwelljournal.com
Internet Source
www.moorefieldschool-ekpan.com
Internet Source
Submitted to Mancosa
Student Paper
Submitted to University of West London
Student Paper
journals.sagepub.com
Internet Source
www.tinypulse.com
Internet Source
Submitted to University of Wolverhampton
Student Paper
Submitted to West Visayas State University
Student Paper
22 <1%
23 <1%
24 <1%
25 <1%
26 <1%
27 <1%
28 <1%
29 <1%
30 <1%
31 <1%
32 <1%
Submitted to De La Salle University - Manila
Student Paper
www.scirp.org
Internet Source
Submitted to South Dakota Board of Regents
Student Paper
pjitm.com
Internet Source
Submitted to Napier University
Student Paper
Submitted to Peirce College
Student Paper
garuda.ristekdikti.go.id
Internet Source
Submitted to Pennsylvania State System of
Higher Education
Student Paper
pdfs.semanticscholar.org
Internet Source
Submitted to Champlain College
Student Paper
Submitted to University of Wales central
institutions
Student Paper
33 <1%
Exclude quotes On
Exclude bibliography On
Exclude matches < 10 words
uir.unisa.ac.za
Internet Source


SImilarity ": The Employee Engagement Of Millenial Employees"

Maharani, Anita

From Bottom to Top
by Anita Maharani
Submission date: 29-Oct-2019 02:58PM (UTC+0700)
Submission ID: 1202666265
File name: Jurnal PKM Vol 4 No 3_2019__From Bottom to Top.pdf (66.84K)
Word count: 2459
Character count: 13328








3%
SIMILARITY INDEX
3%
INTERNET SOURCES
3%
PUBLICATIONS
4%
STUDENT PAPERS
1 3%
2 1%
Exclude quotes On
Exclude bibliography On
Exclude matches < 10 words
From Bottom to Top
ORIGINALITY REPORT
PRIMARY SOURCES
www.isepss.org
Internet Source
Submitted to Napier University
Student Paper


Similarity "From Bottom to Top: Challenge on Formulating New Value Blueprint"

Market Attractiveness and
Collaboration Strategies in
Improvingt the Business
Performance of the Digital Out of
Home Media Industry in
Indonesia
by Asnan Furinto
Submission date: 25-Nov-2019 01:02PM (UTC+0700)
Submission ID: 1221149981
File name: mance-Of-The-Digital-Out-Of-Home-Media-Industry-In-Indonesia.pdf (787.14K)
Word count: 4818
Character count: 27105








21%
SIMILARITY INDEX
18%
INTERNET SOURCES
10%
PUBLICATIONS
15%
STUDENT PAPERS
1 5%
2 3%
3 2%
4 1%
5 1%
6 1%
7 1%
Market Attractiveness and Collaboration Strategies in Improvingt
the Business Performance of the Digital Out of Home Media
Industry in Indonesia
ORIGINALITY REPORT
PRIMARY SOURCES
www.abacademies.org
Internet Source
www.ersj.eu
Internet Source
ieomsociety.org
Internet Source
ijecm.co.uk
Internet Source
Submitted to University Of Tasmania
Student Paper
Submitted to University of Warwick
Student Paper
Tongam Lumban Tobing, . .. "The Effect of
Company Reputation and Business Strategy on
Company Performance of Banking Industry in
Indonesia", International Journal of Engineering
& Technology, 2018
8 1%
9 1%
10 1%
11 1%
12 <1%
13 <1%
14 <1%
15 <1%
16 <1%
17 <1%
Publication
Submitted to UT, Dallas
Student Paper
repository.petra.ac.id
Internet Source
mafiadoc.com
Internet Source
www.sciencepubco.com
Internet Source
Submitted to Florida Institute of Technology
Student Paper
www.taolearn.com
Internet Source
Siti Chotimah, M Bernard, S M Wulandari.
"Contextual approach using VBA learning media
to improve students’ mathematical displacement
and disposition ability", Journal of Physics:
Conference Series, 2018
Publication
www.um.edu.mt
Internet Source
www.ijmsbr.com
Internet Source
Submitted to Universitas Negeri Jakarta
Student Paper
18 <1%
19 <1%
20 <1%
21 <1%
22 <1%
23 <1%
Exclude quotes On Exclude matches < 10 words
edoc.pub
Internet Source
quizlet.com
Internet Source
Submitted to Universitas Pendidikan Indonesia
Student Paper
Submitted to Padjadjaran University
Student Paper
Ratna Komala Putri, Ernie Tisnawati Sule, Nury
Effendi, Hilmiana .. "The Academic Climate and
Organizational Support Influence on
Performance of Lecturers Scientific Publications
(Study at the Private University Accredited in
West Java)", International Journal of
Engineering & Technology, 2018
Publication
B Arif, E T Sule. "Leadership Style and
Capability on the Formulation of Business
Strategy in the State-Owned Enterprises in
Indonesia", IOP Conference Series: Materials
Science and Engineering, 2019
Publication
Exclude bibliography On


Similarity "Market Attractiveness and Collaboration Strategies In Improving The Business Performance Of The Digital Out Of Home Media Industry In Indonesia"

Mui Halal Logo
by Asnan Furinto
Submission date: 11-Oct-2019 07:38AM (UTC+0700)
Submission ID: 1190426144
File name: Does-Mui-Halal-Logo-Matter-For-Young-Millennials-An-Experiment-Study-In-Cosmetic-Mass-market-
Brand.pdf (166.45K)
Word count: 2108
Character count: 11189



13%
SIMILARITY INDEX
1%
INTERNET SOURCES
10%
PUBLICATIONS
4%
STUDENT PAPERS
1 9%
2 1%
3 1%
4 1%
Exclude quotes On
Exclude bibliography On
Exclude matches < 10 words
Mui Halal Logo
ORIGINALITY REPORT
PRIMARY SOURCES
Telisiah Utami Putri, . .. "How Significant Arabic
Brand Name, Halal Logo and Manufacturer
Country of Origin Image Trigger Consumer
Purchase Decision on Halal Cosmetic",
International Journal of Engineering &
Technology, 2018
Publication
Submitted to School of Business and
Management ITB
Student Paper
Submitted to Assumption University
Student Paper
Submitted to UniSadhuGuna International
College
Student Paper


Binus University

Not a member yet