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All Journal Jurnal Ilmiah Akuntansi Kesatuan Transekonomika : Akuntansi, Bisnis dan Keuangan Wiga : Jurnal Penelitian Ilmu Ekonomi Jurnal Ilmu Manajemen Advantage Assets : Jurnal Ilmiah Ilmu Akuntansi, Keuangan dan Pajak Empowerment Society Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital (JEKOMBITAL) Khidmatuna: Jurnal Pengabdian Masyarakat J-MABES
Noer Aisyah Barlian, Noer Aisyah
Program Sudi Manajemen
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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CLINIC OPERATIONAL EFFICIENCY THROUGH OPTIMIZING THE DISTRIBUTION OF NURSING STAFF Barlian, Noer Aisyah; Faqih, Muhammad
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 4 No. 4 (2024): July 2024
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v4i4.683

Abstract

An inpatient primary clinic is a healthcare unit characterized by fewer facilities and amenities compared to a hospital. Consequently, the distribution and allocation of health workers, particularly nurses, for operational processes differ significantly from that in hospitals. This study aims to determine the optimal number of nursing personnel required for efficient operation of an inpatient primary clinic through the application of linear programming techniques. The research methodology involves secondary data analysis, utilizing administrative information from inpatient private clinics in Lumajang Regency, East Java. The findings reveal that the linear programming model implemented is effective in optimizing nurse distribution. Specifically, the results indicate that a minimum of eight nurses is necessary to ensure efficient operation and cost-effectiveness of the inpatient clinic. This efficient distribution model can potentially lead to significant operational cost savings, thereby enhancing the overall performance and sustainability of inpatient primary clinics in similar settings.
The Influence of Digitalization Readiness, Digital Mindset and Digital Culture on Digitalization Value in Multibusiness Companies Barlian, Noer Aisyah; Ratnasari, Vita
Jurnal Ekonomi Kreatif dan Manajemen Bisnis Digital Vol 4 No 2 (2025): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/jekombital.v4i2.1082

Abstract

In an era of increasingly massive technological disruption, companies are required to adapt and transform to remain relevant and competitive. Digital transformation has become a necessity, even for companies operating in regions with low technology adoption due to low human development indices. Therefore, multi-business companies undergoing digital transformation face various challenges, both internally and externally. This research aims to determine whether digitalization readiness, digital mindset, and digital culture influence digitalization value. The analysis method is quantitative, using a questionnaire that is subsequently analyzed with Structural Equation Modeling- Partial Least Square (SEM-PLS). The data used in this research is the result of a questionnaire survey aimed at employees in multi-business companies that use technology in their operational processes. The findings showed that Digitalization Readiness influences Digital Mindset and Digital Culture but does not have a direct effect on Digitalization Value. Digitalization Readiness has an effect on Digitalization Value through Digital Mindset, but not through Digital Culture. Ultimately, the key to maximizing the benefits of digitalization for multibusiness firms lies not only in being prepared and having a supportive culture, but also in cultivating a digital mindset. This mindset serves as the crucial path for creating value and should be the main focus for organizations aiming to fully embrace digital transformation.
Co-Authors Arifah, Sa'adatu Mukarromatil Emmy Ermawati Ferdinant Nuru Guntur Kusuma Wardana Hanjoyo, Taryono Harahap, Subur Haryo, Ravi Hidayatullah, Indra Karnawi Kamar, Karnawi Latifah, Siti Nur Moch. Mahsun Muhammad Faqih Muhammad Farid Rozikin, Mochammad Ainur Rusdiana, Rina Vita Ratnasari