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SYSTEMIC RESEARCH: Systemic and Information Technology Journal
Published by Greenation Publisher
ISSN : -     EISSN : 31102565     DOI : https://doi.org/10.38035/systemic
Core Subject :
Systemic and Information Technology Journal (SYSTEMIC RESEARCH:) is an national peer-reviewed and open-access scientific journal, dedicated to developing theory and practice in the field of systemic and information technology. The journal aims to be the premier platform for academics, practitioners, and policy makers in sharing high-quality research relevant to the challenges and opportunities in the digital world and complex systems. The main focus of the journal includes the application of systemic approaches in information systems analysis and design, information technology management, system architecture, as well as technological innovation in social and organizational contexts. We welcome contributions from a variety of methodologies, including empirical studies, qualitative analysis, systematic reviews, and case studies that offer practical insights. With a multidisciplinary approach, the journal also covers topics such as artificial intelligence, cybersecurity, cloud computing, and digital transformation.
Arjuna Subject : -
Articles 14 Documents
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Analysis of the Security and Confidentiality of Electronic Medical Records in Supporting Healthcare Service Quality at Bhayangkara Level I Hospital, PUSDOKKES POLRI Nanang Ari Widiyanto; Irda Sari
SYSTEMIC RESEARCH: Systemic and Information Technology Journal Vol. 2 No. 1 (2026): July 2026
Publisher : Greenation Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/systemic.v2i1.65

Abstract

The development of Electronic Medical Records (EMRs) contributes to improving healthcare service quality by facilitating access to information, accelerating service delivery, and increasing data accuracy. However, implementation continues to face challenges related to data security, patient-information confidentiality, and suboptimal user compliance with standard operating procedures. This study aimed to analyze the implementation of EMR security and confidentiality in supporting healthcare service quality at Bhayangkara Level I Hospital, Pusdokkes Polri. A descriptive qualitative approach was employed using observation, interviews, questionnaires as a supporting instrument, and document review. The findings showed that the EMR system had implemented several security mechanisms, including username-and-password authentication, role-based access restrictions, audit trails, and periodic data backup and recovery. Data confidentiality was maintained by restricting access to authorized healthcare personnel. Nevertheless, challenges remained in user behavior and compliance with established policies. Appropriate implementation of security and confidentiality measures can increase patient trust, accelerate service processes, and maintain the integrity of medical data. Continuous supervision, training, and system evaluation are therefore required to further improve healthcare service quality.
User Interface Design for Detecting Potential BPJS Patient Fragmentation at Bhayangkara Level I Hospital, PUSDOKKES POLRI Fitriani Murni; Diansyah Diansyah
SYSTEMIC RESEARCH: Systemic and Information Technology Journal Vol. 2 No. 1 (2026): July 2026
Publisher : Greenation Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/systemic.v2i1.66

Abstract

Fragmentation of BPJS patient data is a problem arising from inconsistencies in visit records, particularly repeat visits occurring within seven days, which may result in fragmented service episodes, administrative discrepancies, and complications in the BPJS claim process. This study aimed to identify the potential fragmentation of BPJS patient visits and to design a user interface prototype as a supporting solution. A cross-sectional approach was applied through observation, interviews, and documentation, while system development used the Prototype method involving registration, casemix, and Hospital Management Information System (SIMRS) personnel. The findings showed that fragmentation was influenced by repeated visits, the absence of automated validation, and limitations of the existing system in detecting repeat visits within seven days. These conditions may affect data accuracy, service efficiency, and the smooth processing of BPJS claims. The proposed prototype incorporates integrated patient-history retrieval, automated validation, an early warning system, and claim-monitoring functions. Further testing and development are required before implementation so that the prototype can support the prevention of BPJS patient-visit fragmentation and improve claim administration.
System Integration for Judicial Prediction of Case Type and Resolution Duration at Bekasi Religious Court Adi Muhajirin; Nurfiyah Nurfiyah; Arya Haifandika
SYSTEMIC RESEARCH: Systemic and Information Technology Journal Vol. 2 No. 1 (2026): July 2026
Publisher : Greenation Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/systemic.v2i1.69

Abstract

The administration of justice in Religious Courts faces inefficiencies due to manual case classification and unpredictable resolution timelines. This research addresses the gap in systemic judicial management tools by proposing a hybrid machine learning architecture. The objective is to design a systemic information model integrating Deep Learning for case type classification and Ensemble Learning for duration prediction. The method employs CRISP-DM framework combining Long Short-Term Memory (LSTM) for text analysis and XGBoost for temporal regression on 4,461 case records from Bekasi Religious Court. Results indicate a classification accuracy of 93.9% and a Mean Absolute Error (MAE) of 12.4 days for duration prediction. The novelty lies in the systemic integration of dual predictive models into judicial workflows, proposing a digital transformation model for court administration. Conclusions affirm that hybrid AI systems significantly enhance resource planning and administrative efficiency
Penerapan ShopeeFood Merchant dan Pembayaran QRIS terhadap Kepuasan Konsumen melalui Minat Beli Konsumen pada Kafe Rumpi Talk Farhan Saputra; Dovina Navanti; Dewi Sri Woelandari Pantjolo Giningroem; Widi Winarso
SYSTEMIC RESEARCH: Systemic and Information Technology Journal Vol. 1 No. 2 (2026): January 2026
Publisher : Greenation Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/systemic.v1i2.73

Abstract

Tujuan dari penelitian ini yaitu untuk mengetahui pengaruh ShopeeFood Merchant dan pembayaran QRIS terhadap Kepuasan Konsumen melalui Minat Beli Konsumen pada Kafe Rumpi Talk. Penelitian ini menggunakan metode kuantitatif dengan teknik pengambilan sampel yaitu simple random sampling. Populasi dalam penelitian ini tidak diketahui. Jumlah sampel dalam penelitian ini sebanyak 112 responden dengan teknik sampling rumus slovin. Skala pengukuran menggunakan skala likert (1-5). Jenis data yang digunakan yaitu data primer dan data sekunder, data primer diperoleh dari kuesioner dan pra survey, data sekunder diperoleh dari penelitian terdahulu yang telah dipublikasikan pada jurnal bereputasi dan buku serta e-books. Uji yang dilakukan dalam penelitian ini yaitu uji outer model, inner model dan uji hipotesis menggunakan Structural Equation Modeling – Partial Least Square (SEM-PLS) dengan software statistik SmartPLS versi 4.1.0.0 for windows. Hasil dari penelitian yang dilakukan di Kafe Rumpi Talk yaitu menunjukkan bahwa ShopeeFood Merchant dan Pembayaran QRIS berpengaruh positif dan signifikan terhadap Kepuasan Konsumen dan Minat Beli Konsumen baik secara langsung dan secara tidak langsung.

Page 2 of 2 | Total Record : 14

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