Alfatihah Reno Maulani
STIKes Persada Husada Indonesia

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Faktor-Faktor yang Mempengaruhi Tingkat Kepuasan Pasien Rawat Inap di Rumah Sakit Umum Daerah Provinsi Sulawesi Tenggara Elwindra Elwindra; Alfatihah Reno Maulani
Jurnal Persada Husada Indonesia Vol 1 No 3 (2014): Jurnal Persada Husada Indonesia
Publisher : STIKes Persada Husada Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (962.384 KB) | DOI: 10.56014/jphi.v1i3.48

Abstract

Patient satisfaction is the most important aspect of operational level in hospital services. From consumer’s point of view, patient satisfaction level is one of the major factors that have a big impact to hospital achievement to increase number of visiting patient. The objective of the study is to identify influential factors of patient satisfaction level at inpatient ward of South-East Sulawesi Province General Hospital in terms of characteristic of patient through the Service Quality – Servqual Method by measuring the gap between perceived and expected service on 5 patient satisfaction dimensions, which are: Tangibles, Reliability, Responsiveness, Assurance, and Empathy.The measurement of satisfaction level was conducted to 108 respondents through selfadministered questionnaire with cross sectional design. The primary data were analysed using Univariate, Bivariate and Multivariate Analysis, and appropriateness level between perceived and expected service at inpatient ward through Importance Performance Analysis.The result of this study showed that the characteristic of patient that having significant relationship and dominant influence with patient satisfaction level was the distance from patient residence to the hospital. Patient with extended distance from the hospital was more satisfied 6.070 times than nearby patient. The patient satisfaction level is 83.27%, with description of every dimension: Assurance (86.53%), Empathy (85.41%), Responsiveness (83.38%), Reliability (81.89%), and Tangibles (79.13%). Importance-Performance Analysis has found 5 factors as main priorities (quadrant A) which are the weakness factors at inpatient ward of South-East Sulawesi Province General Hospital. In general, the main priorities are Tangibles and Reliability dimension.
Hubungan antara Karakteristik Ekonomi dan Demografi terhadap Status Kebahagiaan Penduduk DKI Jakarta Tahun 2012 Alfatihah Reno Maulani; Elwindra Elwindra
Jurnal Persada Husada Indonesia Vol 1 No 3 (2014): Jurnal Persada Husada Indonesia
Publisher : STIKes Persada Husada Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (755.702 KB) | DOI: 10.56014/jphi.v1i3.50

Abstract

The study of happiness has been widely applied as an indicatorofwelfare. In 2007, Bhutan became thefirst country to measure Gross National Happiness Index. Furthermore, there were some internationalorganizations that try to measure this index in several countries to learnabout the comparability, for example, The New Economics Foundation with The Happy Planet Index (HPI), The Organization for EconomicCooperation and Development (OECD) with Your Better Life Index (YBLI), and the Legatum Institute withProsperity Index (PI). Statistics Indonesia (BPS) conducted a national survey to measurelevel of Happiness in2013. Previously, preliminary survey was conducted in Jakarta in 2012. This study uses secondary data from the National Socioeconomic Survey (SUSENAS) Jakarta Year 2012 with atotal of 1,198 respondents. Chi squareanalysis was used to identify if there are difference in Economic and Demographic Characteristics (place oforigin, gender, age group, educational background, marital status, number of household members, and monthly average household expenditure) to the status of individual happiness (variable with 4 Likert scale, in the range 1 (Not Happy) to 4 (Very Happy). The results showed a tendency of higher happinessin the population of Kabupaten Kepualauan Seribu, female, in the age group of 17-24 years old, highly educated, married, a large number of household members, and have high average household expenditure per month.