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All Journal Nusantara Hasana Journal Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Yepri Endika
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Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Nursing Social Sciences

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ANALISIS PERENCANAAN PENGEMBANGAN REKAM MEDIS ELEKTRONIK RSUD KOTA YOGYAKARTA DENGAN PENDEKATAN SWOT - PESTEL Intan Wulandari; Eny Sulistyowati; Yepri Endika
Nusantara Hasana Journal Vol. 5 No. 1 (2025): Nusantara Hasana Journal, June 2025
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v5i1.1472

Abstract

This study aims to analyze the factors influencing the development of Electronic Medical Records (EMR) at RSUD Kota Yogyakarta in 2024 using SWOT and PESTEL analytical approaches. Secondary data were collected from hospital documents and relevant government regulations. The SWOT analysis identifies internal and external factors such as strengths, weaknesses, opportunities, and threats, while the PESTEL analysis examines political, economic, social, technological, environmental, and legal influences on EMR implementation. The findings indicate that the hospital holds considerable potential due to strong managerial support and adequate infrastructure, though challenges remain in terms of limited human resource competencies and data security risks. The integration of both analyses provides strategic recommendations to support the optimization of EMR implementation and enhance the quality of healthcare services.
ANALYSIS OF CONSUMER SATISFACTION AND LOYALTY BASED ON THE GREEN MARKETING CONCEPT OF PT UNILEVER INDONESIA TBK Yepri Endika; Eny Sulistyowati; Faizul Farkhan
Nusantara Hasana Journal Vol. 5 No. 1 (2025): Nusantara Hasana Journal, June 2025
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v5i1.1499

Abstract

This study aims to comprehensively analyze how PT Unilever Indonesia Tbk implements green marketing concepts and how these are articulated in their annual reports from 2020 to 2024, as well as their connection to consumer satisfaction and loyalty. Employing a qualitative approach with a case study design, this research focuses on document analysis, particularly the company's annual reports, as the primary data source. Green marketing analysis indicators include corporate commitment, green products, green place/distribution, and green promotion. Concurrently, consumer satisfaction indicators refer to company statements regarding positive consumer responses and a focus on sustainability preferences, while consumer loyalty is measured by claims of brand strengthening, consumer involvement in sustainability programs, and brand differentiation. The analysis reveals that PT Unilever Indonesia Tbk consistently integrates sustainability principles into their core business, reflecting green marketing as a holistic strategy aimed at building trust, meeting ethical expectations, and ultimately driving consumer satisfaction and loyalty. Narratives within the annual reports explicitly link green initiatives to positive consumer responses and enhanced brand loyalty, indicating that the company views green marketing as a crucial element in fostering long-term relationships with its customers. This study is expected to provide valuable insights into corporate sustainability communication strategies and their implications for consumer behavior within the Indonesian market context.
Pemodelan Risiko Kredit Macet Kartu Kredit Menggunakan Agent-Based Modeling Studi Kasus pada Perilaku Konsumen Yepri Endika; Eny Sulistyowati
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 7 No. 8 (2025): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v7i8.8020

Abstract

This research aims to analyze and predict credit card default risk using an Agent-Based Modeling approach. The model simulates consumer behavior in credit card usage, considering factors like income level, credit limit, and spending habits. The study utilizes secondary data and simulation results calibrated with empirical data. Simulations reveal that increased credit limits and consumer spending significantly contribute to rising default rates, while lower interest rate policies can mitigate default risk. These findings offer insights for financial institutions to design risk mitigation strategies and inform regulators in establishing more adaptive policies to consumer behavior dynamics. The study also recommends developing hybrid models incorporating machine learning approaches to enhance the accuracy of future credit card default risk predictions.
Co-Authors Eny Sulistyowati Faizul Farkhan Intan Wulandari