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All Journal Jurnal Formil (Forum Ilmiah) Kesmas Respati Jurnal Bidang Ilmu Kesehatan Jurnal Manajemen dan Administrasi Rumah Sakit Indonesia (MARSI) Jurnal Untuk Masyarakat Sehat (JUKMAS) Epidemiological Journal of Indonesia Jurnal Pelayanan dan Pengabdian Kesehatan untuk Masyarakat Journal of Ageing And Family
kridawati, atik
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Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Environmental Science Health Professions Medicine & Pharmacology Neuroscience Nursing Public Health

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The Effect of Lean Six Sigma Implementation, Information Technology Utilization, and Bed Capacity on Length of Inpatient Stay at Karya Medika Hospital, Bantar Gebang, Bekasi, in 2025 Gunardi, Astri; Kridawati, Atik; Herawati, Herawati; Agustin, Dinni
Journal of Ageing And Family Vol 4, No 2 (2024): Journal of Ageing And Family
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM Universitas Respati Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/joaf.v4i2.6870

Abstract

The Length of stay is a crucial indicator in hospital service systems. This study aims to analyze the influence of Lean Six Sigma implementation, the use of information technology, and bed capacity on the length of stay at RS Karya Medika Bantar Gebang. The research method used is a quantitative approach with a descriptive analytical design. Data were collected through questionnaires and analyzed using univariate, bivariate, and multivariate tests. The univariate analysis results show that the majority of respondents are aged 20-35 years (59.00%), female (64.10%), and work as nurses (56.40%). Bivariate analysis using Pearson correlation test shows that Lean Six Sigma implementation has a strong relationship with length of stay (r = 0.855, p = 0.000), the use of information technology has a very strong relationship (r = 0.906, p = 0.000), and bed capacity also has a strong relationship (r = 0.838, p = 0.000). Multivariate analysis results using multiple linear regression indicate that Lean Six Sigma implementation (β = 1.583, p = 0.000) and the use of information technology (β = 0.954, p = 0.043) significantly affect the length of stay, while bed capacity (β = 0.505, p = 0.243) does not have a significant effect. The regression model used has an R value of 0.944 and an R Square value of 0.892, indicating that 89.2% of variations in length of stay can be explained by the three independent variables. The conclusion of this study is that Lean Six Sigma implementation and the use of information technology significantly contribute to reducing the length of stay, while bed capacity does not have a direct impact. Therefore, hospitals are advised to further optimize the implementation of Lean Six Sigma and information technology to improve service efficiency. Keywords: Length of Stay, Lean Six Sigma, Information Technology, Bed Capacity, Hospital Efficiency
Hubungan Mutu Pelayanan dengan Kepuasan Pasien Rawat Inap di Rumah Sakit Mandaya Karawang Tahun 2025 Suntini, Nine; Kridawati, Atik; Aprillia, Yuna Trisuci
Jurnal Untuk Masyarakat Sehat (JUKMAS) Vol 9, No 2 (2025): Jurnal Untuk Masyarakat Sehat (JUKMAS)
Publisher : LPPM Universitas Respati Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/jukmas.v9i2.6911

Abstract

Patient satisfaction depends on the quality of service provided. Service encompasses all efforts made by healthcare personnel to meet patient needs. A service is considered good if it meets patient expectations and is perceived as satisfactory rather than disappointing. Patient satisfaction is experienced from the moment of arrival until discharge from the hospital. This study aims to examine the relationship between service quality and inpatient satisfaction at Mandaya Hospital Karawang in 2025, as well as the influencing factors. This research is a quantitative study with a cross-sectional approach, analyzed using univariate, bivariate, and multivariate methods through ordinal logistic regression with 97 patient. The results show that the majority of inpatients (64.9%) felt satisfied with the inpatient services, while 35.1% were not satisfied. Bivariate analysis revealed a significant relationship between patient satisfaction and several services: registration, emergency department, room facilities, nursing, physician, pharmacy, nutrition, and security services. Multivariate analysis identified that the most dominant variables associated with patient satisfaction were registration service, emergency department service, and nutrition service. The odds ratio (OR) for nutrition service was 1154.820, indicating that good nutrition service increases the likelihood of inpatient satisfaction by approximately 1154 times. The Nagelkerke R Square value was 0.929, suggesting that the independent variables explain 92.9% of the variation in the dependent variable, leaving 7.1% explained by other factors.
Co-Authors AA Sudharmawan, AA Agustin, Dinni Andarusito, Nurcahyo Aprillia, Yuna Trisuci Apriyan, Nur Citrawati, Citrawati Gunardi, Astri Herawati Herawati Laksyana, Dessy Mailangkay, Nurlina Mulyono Mulyono Nilawaty, Evi Nugroho, Dedy Perwitasari, Dwi Utami raharjo, tri budi wahyuni Sulistian, Andika Sunita, Anna Suntini, Nine susanti, betty nir Ulfa, Laila W. Rahardjo, Tri Budi Yeq, Merimarlina