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ARUMAS
Published by Sekolah Tinggi Ilmu Kesehatan Garuda Putih
ISSN : -     EISSN : 30469481     DOI : -
Core Subject : Health, Science, Education,
Computer Science & IT Education Health Professions Nursing Public Health Veterinary Other
Jurnal Administrasi Rumah Sakit (ARUMAS) adalah jurnal nasional memiliki fokus di bidang informatika kesehatan, administrasi layanan dan manajemen rumah sakit dan pelayanan kesehatan primer. Adapun artikel atau naskah ilmiah yang dimuat dalam Jurnal ARUMAS mencakup ranah penelitian, studi kasus, atau konseptual yang masing-masing mengusung pilar corporate governance, clinical governance, atau keduanya. ARUMAS terbit dua kali dalam satu tahun (enam bulan sekali), yaitu Februari dan Agustus.
Arjuna Subject : Profesi Kesehatan - Menejmen Informasi Kesehatan
Articles 17 Documents
 1   2 
EVALUASI IMPLEMENTASI ELECTRONIC HEALTH RECORDS (EHR) RS Dr. BRATANATA JAMBI Listautin, Listautin; Nengsi, Novida; Irwandi, Irwandi
ARUMAS Vol 2 No 1 (2025): Jurnal Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52741/ars.v2i1.72

Abstract

Latar Belakang: Rumah sakit memiliki peran utama memberikan pelayanan kesehatan berkualitas. Electronic Health Records (EHR) menjadi solusi modern untuk mengelola informasi medis secara terintegrasi, meningkatkan efisiensi administrasi, mempercepat proses perawatan, dan mendukung pengambilan keputusan medis. Tujuan: Penelitian ini bertujuan untuk mengevaluasi faktor keberhasilan EHR, manfaat sistem, hambatan implementasi, dan kerahasiaan di RS dr. Bratanata. Metode: Penelitian ini merupakan penelitian kualitatif dengan pendekatan studi kasus untuk mengeksplorasi pengalaman pengguna EHR di RS dr. Bratanata. Sampel berjumlah 8 Partisipan melalui wawancara semi terstruktur menggunakan pedoman wawancara. Analisis data menggunakan metode fenomenologi dengan Empat tema wawancara yaitu faktor keberhasilan, manfaat penggunaan HER, hambatan implementasi, kerahasiaan atau keamanan. Penelitian di laksanakan pada bulan Agustus 2024. Hasil: Faktor keberhasilan: Fasilitas pendukung seperti komputer, server dan jaringan internet memadai meski terkadang ada kendala koneksi. SDM muda lebih mudah beradaptasi dengan teknologi namun senior cenderung resistensi. EHR mempercepat akses data dibanding sistem manual. Kesalahan input data masih menjadi tantangan. Tema 2. Hambatan: Pelatihan belum optimal, terutama terutama bagi staf berpendidikan rendah. Tidak ada SOP untuk mengatasi kesalahan input data. EHR lebih aman dibandingkan sistem berbasis kertas karena dilengkapi teknologi enkripsi, kontrol akses, dan pencadangan data. Tema 3. Kerahasiaan: data terjaga lebih baik dengan mekanisme keamanan digital. Tema 4. Manfaat: EHR meningkatkan efisiensi pengelolaan data pasien, mengurangi risiko kehilangan dokumen fisik, dan mempercepat pengambilan keputusan medis, meski digitalisasi belum sepenuhnya tercapai. Kesimpulan: Implementasi EHR di RS dr. Bratanata meningkatkan efisiensi, keamanan data, dan akses informasi. Namun, hambatan berupa pelatihan belum memadai, ketiadaan SOP, dan resistensi pengguna senior perlu diatasi untuk mengoptimalkan sistem.
Analisis Faktor Yang Mempengaruhi Minat Berkunjung Ulang Pasien Rawat Jalan Di Rumah Sakit Islam Sultan Agung Banjarbaru anggi nooropie maharani; Rahman, Andri Nur; Hastuti, Eny
ARUMAS Vol 2 No 1 (2025): Jurnal Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52741/ars.v2i1.48

Abstract

The interest in repeat visits is an illustration of a hospital's success in creating a quality hospital in terms of its services. Patients returning to the same health service means that the reality they receive is higher than what they expected, resulting in patient loyalty to the hospital. This research aims to find out what factors influence the interest in revisiting outpatients at RSI Sultan Agung Banjarbaru. This research uses a cross-sectional approach with causal quantitative methods. The population and sample in this study were outpatients at RSI Sultan Agung with a sample of 105 people, with the research instrument using a questionnaire. Data analysis uses univariate and bivariate analysis methods. The results showed that there was an influence of patient attitude variables (p=0.001, r=0.622), brand image (p=0.001, r=0.812), perceived value (p=0.001, r=0.700), perceived quality (p=0.001, r=0.565) on interest in revisiting. The conclusion of this research is that the variables of patient attitude, brand image, perceived value and perceived quality influence the interest in revisiting outpatients at RSI Sultan Agung Banjarbaru. Keywords: Patient Attitude, Brand Image, Perceived Value, Perceived Quality, Intention to Revisit
Data Mining untuk Evaluasi Kualitas Layanan Persalinan: Studi Komparatif RapidMiner dan SPSS Irwandi, Irwandi; Samsinar, Samsinar; Sinaga, Rudolf
ARUMAS Vol 2 No 1 (2025): Jurnal Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52741/ars.v2i1.102

Abstract

Improving the quality of maternity services is a strategic priority in the health system. With the development of technology, data mining has become an effective approach to evaluate the quality of big data-based services. This study aims to compare the performance of two data mining tools—RapidMiner and SPSS—in analyzing labor service data to assess the effectiveness, efficiency, and ease of interpretation of the analysis results. A quantitative approach was used as a method with a comparative design of 500 childbirth data from hospitals. Data were analyzed using RapidMiner with Decision Tree and K-Means algorithms, as well as SPSS with logistic regression and correlation tests. The indicators assessed include prediction accuracy, processing time, and ease of use. The results of the analysis showed that RapidMiner achieved a prediction accuracy of 85.4% and was able to cluster with a silhouette coefficient of 0.65. The processing time is about 12 minutes. SPSS shows an accuracy of 81.2% with a faster processing time of 8 minutes. Significant factors found include the mother's age, complications, and type of delivery. RapidMiner excels in predictive analysis and big data processing, while SPSS is more efficient for conventional statistical analysis. A combination of the two is recommended to obtain more comprehensive service evaluation results. The integration of data mining in health information systems needs to be strengthened to support data-based policies in improving the quality of maternity services.
the PENGARUH PERENCANAAN LOGISTIK TERHADAP EFEKTIVITAS MANAJEMEN LOGISTIK FARMASI DI RUMAH SAKIT DR. BRATANATA JAMBI: PENGARUH PERENCANAAN LOGISTIK TERHADAP EFEKTIVITAS MANAJEMEN LOGISTIK FARMASI DI RUMAH SAKIT DR. BRATANATA JAMBI Aulia, sarah Nasywa; Irawan, Yeyen Gustina; Sitepu, Fransiska; Pordaningsih, Reny; Riama, Apni
ARUMAS Vol 2 No 2 (2025): Jurnal Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52741/ars.v2i2.105

Abstract

Logistics management is part of the supply chain process and has functions, namely planning, implementing, and controlling the efficiency and effectiveness of the flow of storage of goods, services, and service information and providing related information from the initial place or consumption. The hospital pharmacy installation is one part of the hospital that is fully responsible for drug management and an important factor that must be considered in providing equitable health services to the community in the hospital's work area. The purpose of drug management is to ensure the availability, distribution, and affordability of drugs with sufficient types and quantities, so that they can be easily obtained at the right place and time. This study aims to determine how the pharmaceutical logistics planning system carried out and identify the influence of planning on the effectiveness of pharmaceutical logistics management at dr. Bratanata Hospital, Jambi. The research method used is qualitative. Samples were taken using purposive sampling techniques of 3 people. Data collection techniques use Data Source Triangulation, namely in-depth interviews, observations, and documentation studies. The results of the study indicate that Pharmaceutical Logistics planning is carried out by referring to doctor requests, previous month's usage data, and the National Formulary. The planning process is based on a monthly stock opname system, where the remaining stock from January to December is added up, averaged, and added with a buffer stock of 10% for annual needs. Overall, the pharmaceutical logistics planning system at dr. Bratanata Hospital, Jambi has been running effectively, although flexibility is still needed in procurement to anticipate dynamic changes in hospital service needs and to ensure that all incoming and outgoing goods recording processes can be properly documented as a basis for decision making in logistics management.
Optimalisasi Pemeliharaan Aset Rumah Sakit: Pendekatan Preventif dan Teknologi Terbaru Rasdian; Andika Mayansara
ARUMAS Vol 2 No 2 (2025): Jurnal Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52741/ars.v2i2.84

Abstract

Hospital asset and facility management in Indonesia post-COVID-19 faces increasingly complex challenges, particularly regarding the limitations of physical facilities, medical equipment, and human resource management. The pandemic has exacerbated these conditions, forcing hospitals to adapt quickly and implement technology-based solutions to maintain healthcare service quality. This study aims to explore the challenges and opportunities in hospital asset and facility management in Indonesia post-pandemic. The method used is a literature review through searches in databases such as Google Scholar, PubMed, and Scopus. A total of 45 articles were initially obtained, then filtered using inclusion criteria of being published within the last 10 years, addressing hospital asset and facility management, and applying valid methodologies. After the selection process, 20 articles were analyzed thematically to identify trends, challenges, and opportunities. The results show that the use of technology, such as digital management systems, telemedicine, and cloud-based asset management, provides significant opportunities to enhance efficiency, reduce waste, and improve service quality. Furthermore, the adoption of green technology, including renewable energy and efficient waste management, can reduce operational costs and strengthen long-term sustainability. Government policies that support digital transformation and sustainability are also found to play a vital role in accelerating hospital adaptation. In conclusion, while substantial challenges remain, hospitals have significant opportunities to leverage digital and green technologies to improve asset and facility management. Therefore, government support becomes a key factor in enhancing efficiency and service quality in the future.  
the IMPLEMENTASI PENGGUNAAN ANTRIAN ONLINE MELALUI APLIKASI MOBILE JKN TINJAUAN LITERATUR: IMPLEMENTASI PENGGUNAAN ANTRIAN ONLINE MELALUI APLIKASI MOBILE JKN TINJAUAN LITERATUR Taufik, Anvika; Alhamda, Syukra; Gustina Irawan , Yeyen
ARUMAS Vol 2 No 2 (2025): Jurnal Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52741/ars.v2i2.103

Abstract

Background:Mobile JKN is a digital innovation by BPJS Kesehatan aimed at improving access and efficiency in healthcare services. One of its key features is the online queuing system, which is designed to reduce patients’ waiting time. Objective:This study aims to analyze the relationship between the use of the Mobile JKN application and patient waiting times or queues in healthcare facilities across Indonesia, based on a review of relevant studies. Methods:This research was conducted using a literature review method by analyzing and examining scientific journal articles sourced from Google Scholar, published between January 1, 2018 and March 31, 2025. The article search was performed using the keywords “Mobile JKN,” “waiting time,” and “online registration.” The objective was to identify the factors that influence the use of the online registration system within the Mobile JKN application. Results:Most studies indicate that the use of Mobile JKN can significantly reduce patient waiting times, especially when accompanied by assistance or intensive monitoring. However, several studies also reveal that low digital literacy, limited infrastructure, and lack of user education remain key barriers to the effective implementation of the application. Conclusion:eight articles were found after applying the inclusion and exclusion criteria. Mobile JKN has great potential to improve service efficiency through its online queuing feature. However, its success largely depends on the readiness of infrastructure, public education, and sustained support from healthcare facilities. An integrative effort involving technology, human resources, and service policies is essential to ensure the successful nationwide adoption of this system.
Prediction of Hospital Administration Study Program Students' Graduation Using Decision Tree C4.5: Prediction of Hospital Administration Study Program Students' Graduation Using Decision Tree C4.5 Samsinar, Samsinar; Sinaga, Rudolf; Afriany, Renny
ARUMAS Vol 2 No 2 (2025): Jurnal Administrasi Rumah Sakit
Publisher : STIKES Garuda Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52741/ars.v2i2.109

Abstract

The timely graduation success of students is a crucial indicator in evaluating the quality of higher education institutions. This study aims to predict the graduation rate of undergraduate students in the Hospital Administration Program at STIKES Garuda Putih Jambi using the Decision Tree C4.5 algorithm. The data utilized includes the Cumulative Grade Point Average (CGPA) of 35 students over the first four semesters. The dataset was processed using RapidMiner to generate a prediction model with CGPA as the main variable. The model evaluation indicated an accuracy level of 73.33%. This classification model successfully categorized student graduation outcomes into three groups: satisfactory, very satisfactory, and with distinction. The findings of this study are expected to provide insights for better academic decision-making, as well as enhance the quality of evaluation and learning processes in higher education institutions.

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