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All Journal Public Health of Indonesia Syntax Literate: Jurnal Ilmiah Indonesia PEDAGOGIA Indonesian Journal of Artificial Intelligence and Data Mining SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Rekam Medis dan Informasi Kesehatan Jurnal Pengabdian Masyarakat AbdiMas JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Indonesian of Health Information Management Journal (INOHIM) Jurnal Kesehatan Masyarakat Celebes PREPOTIF : Jurnal Kesehatan Masyarakat Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Ners Jurnal Ilmiah Perekam dan Informasi Kesehatan Imelda (JIPIKI) Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Jurnal Pengabdian Masyarakat Indonesia Sehat Rakyat: Jurnal Kesehatan Masyarakat Journal of Information Systems for Public Health Journal of Baja Health Science Indonesian Journal of Health Information Management Services (IJHIMS) Jurnal Penelitian Sistem Informasi Promotor: Jurnal Mahasiswa Kesehatan Masyarakat
Tria Saras Pertiwi
Universitas Esa Unggul
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Hubungan Kepuasan Pasien Pada Layanan Rme Dengan Minat Kunjungan Ulang Di Klinik Pratama Upt Layanan Kesehatan ITB Ditya Pratama; Hosizah Hosizah; Witri Zuama; Tria Saras Pertiwi
Jurnal Ners Vol. 10 No. 2 (2026): APRIL 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v10i2.51509

Abstract

Pesatnya perkembangan teknologi di dunia kesehatan menuntut fasilitas pelayanan kesehatan berinovasi dalam meningkatkan kepuasan. Kepuasan pasien berpengaruh pada minta berkunjung kembali ke fasilitas pelayanan kesehatan. Setelah diselanggarakan RME persentase kunjungan pasien di Klinik Pratama UPT Layanan Kesehatan ITB mengalami penurunan sebesar 19,44%. Penurunan disebabkan pasien harus beralih dari sistem manual menjadi elektronik yaitu pasien wajib melakukan reservasi online yang dianggap menyulitkan. Tujuan penelitian untuk mengetahui hubungan kepuasan pasien pada layanan RME dengan minat kunjungan ulang di Klinik Pratama UPT Layanan Kesehatan ITB. Jenis penelitian observasional dengan menggunakan desain cross sectional. Populasi pada penelitian ini adalah rata rata kunjungan pasien klinik 124 pasien perhari. Sampel diambil menggunakan non probability sampling yaitu 95 pasien. Pengumpulan dan analisis data dengan menyebar kueisioner analisis data dan uji chi-square serta Three Box Method. Pada penelitian ini menunjukkan adanya pasien yang tidak puas pada layanan RME yaitu 46 (48,4%) responden sedangkan yang menilai puas yaitu sebanyak 49 (51,6%) responden. Pasien yang menilai tidak berminat yaitu 47 (49,5%) responden sedangkan yang menilai berminat yaitu sebanyak 48 (50,5%) responden. Berdasarkan hasil uji hipotesis terdapat hubungan kepuasan pasien pada layanan RME dengan minat kunjungan ulang dengan hasil nilai p 0,000 (α <0,05) dengan nilai OR 22,76. Maka, klinik perlu meningkatkan layanan RME.
The Influence of System Quality and Information Quality on E-Puskesmas User Satisfaction: An Empirical Study at Kumai Community Health Center Herlina Afrelina; Tria Saras Pertiwi; Hosizah Markam; Witri Zuama Qomarania
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 4 (2026): OCTOBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i4.6955

Abstract

The implementation of Electronic Medical Records (EMR) in primary healthcare facilities has become a critical component of Indonesia's national digital health transformation agenda. This study examines the influence of system quality and information quality on E-Puskesmas user satisfaction at Kumai Community Health Center in Central Kalimantan Province, Indonesia. Employing a quantitative research approach with cross-sectional design, data were collected from all 58 healthcare staff who directly used the E-Puskesmas system through a validated questionnaire adapted from the DeLone and McLean IS Success Model and End User Computing Satisfaction (EUCS) framework. Multiple linear regression analysis revealed that both system quality (β = 0.408, p = 0.000) and information quality (β = 0.574, p = 0.000) significantly and positively affected user satisfaction, with information quality demonstrating stronger influence. The model achieved an adjusted R² of 0.586, indicating that 58.6% of variance in user satisfaction was explained by these two variables. Descriptive analysis uncovered dimensional heterogeneity, with security and relevance achieving high categories while system reliability, timeliness, and overall satisfaction remained in moderate classification. These findings suggest that healthcare professionals in resource-constrained settings prioritize accurate and relevant patient data over technical system performance, yet infrastructure limitations continue to undermine holistic user experience. The study contributes empirical evidence for improving E-Puskesmas implementation and supports Indonesia's broader digital health integration through the Satusehat platform.
Patient Age: A Determining Factor in Mobile JKN Adoption Susi Arianti; Hosizah Markam; Nauri Anggita Temesvari; Tria Saras Pertiwi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 4 (2026): OCTOBER 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i4.6975

Abstract

The Mobile JKN application represents a significant national initiative to modernize health insurance services in Indonesia, yet adoption rates remain suboptimal despite near-universal population coverage. This study examined the influence of patient demographic characteristics on Mobile JKN utilization for outpatient registration at RSUD Sejiran Setason, a regional hospital in Bangka Belitung. A quantitative cross-sectional study was conducted with 345 respondents selected through accidental sampling. Data were collected using a structured questionnaire measuring four demographic variables (age, gender, education, occupation) and Mobile JKN usage status. Binary logistic regression analysis was employed to determine predictor effects on adoption behavior. Mobile JKN adoption was 38.60%, indicating substantial underutilization. Among demographic predictors, only age demonstrated significant positive influence (p = 0.006, Exp(B) = 1.023), with each additional year increasing adoption likelihood by 2.3%. Gender (p = 0.633), education (p = 0.947), and occupation (p = 0.449) showed no significant effects. The demographic model explained merely 4.4% of variance (Nagelkerke R² = 0.044), suggesting that unmeasured factors substantially determine adoption behavior. Age positively predicts Mobile JKN adoption, contradicting conventional digital divide assumptions, while other demographic characteristics prove insufficient for predicting digital health platform utilization. Implementation strategies should transcend demographic targeting and address systemic, psychological, and technological determinants to achieve equitable digital health transformation in regional Indonesian healthcare settings.
Hubungan Literasi Digital dengan Kesiapan Teknologi menggunakan TRI (Technology Readiness Index) pada Pengguna Rekam Medis Elektronik di Klinik Utama Grha Atma Bandung Yosi Siti Nur Azizah; Tria Saras Pertiwi; Hosizah Hosizah; Mieke Nurmalasari
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.4020

Abstract

Digital transformation in healthcare encourages healthcare facilities to implement Electronic Medical Records (EMR). The success of EMR implementation is not only determined by system and infrastructure readiness but also influenced by users' digital literacy and technology readiness. This study aimed to analyze the relationship between digital literacy and technology readiness using the Technology Readiness Index (TRI) among EMR users at Grha Atma Primary Clinic Bandung. This study used a quantitative approach with a cross-sectional design. The sample consisted of 31 respondents using total sampling. Data were collected using a digital literacy questionnaire adapted from DHLI and a TRI questionnaire. Data analysis included univariate analysis (Three Box Method) and bivariate analysis using Spearman Rank correlation. The results showed that digital literacy was categorized as high across all dimensions. Technology readiness indicated that optimism and innovativeness were high, while discomfort and insecurity ranged from moderate. Spearman test results showed a significant positive relationship between digital literacy and technology readiness (p = 0.003; r = 0.519). This study concludes that digital literacy significantly influences technology readiness among EMR users. Improving digital literacy is essential to enhance technology readiness and optimize EMR implementation.
Convolutional Neural Networks-Based Deep Learning for Diabetic Retinopathy Detection Mieke Nurmalasari; Anastasia Cyntia Dewi Kurniawati; Agus Herwanto; Dyah Kurniawati; Husni Abdul Muchlis; Tria Saras Pertiwi
Indonesian Journal of Artificial Intelligence and Data Mining Vol. 9 No. 1 (2026): March 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diabetic retinopathy (DR) is a major complication of diabetes that can cause permanent vision loss, affecting about 35% of people with type 2 diabetes worldwide. However, existing diagnostic models often struggle with class imbalance and limited generalizability across diverse real-world datasets. Early detection is crucial, yet manual screening is time-consuming and depends on expert assessment. This study develops an automated DR diagnostic system using deep learning to classify fundus images by severity. The model uses an EfficientNetB3 CNN pretrained on ImageNet, combined with CLAHE preprocessing to enhance image contrast. The preprocessing steps include resizing, CLAHE, normalization, and data augmentation (±20° rotation, horizontal flipping, and ZCA whitening). The dataset is the Gaussian-filtered APTOS 2019 set, consisting of 2,750 images across five DR levels (0–4). The model achieved 95% training accuracy and 75% validation accuracy, with overfitting observed after epoch 14. While training performance was high, evaluation metrics (Precision, Recall, F1-Score, and AUC) indicate the need for early stopping or regularization to improve generalization. Overall, CNN-based deep learning can effectively automate DR detection, though further optimization is required for better performance on unseen data. Clinically, this automated pipeline offers a reliable decision-support tool to prioritize high-risk patients for immediate ophthalmological review
Asesmen Kesiapan Penerapan Rekam Medis Elektronik di RSU Fastabiq Sehat PKU Muhammadiyah Pati Amelia Febriana; Hosizah; Arief Ichwani; Tria Saras Pertiwi
Jurnal Rekam Medis dan Informasi Kesehatan Vol. 8 No. 2 (2025): OKTOBER 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jrmik.v8i2.13841

Abstract

RSU Fastabiq Sehat PKU Muhammadiyah Pati telah mengimplementasikan RME sejak tahun 2017 dengan SIMRS Khanza, namun penggunaannya belum optimal. Meskipun sistem ini telah memiliki fitur yang tergolong lengkap dan memudahkan rumah sakit untuk penggunaan RME. Beberapa fitur RME dalam SIMRS Khanza belum sesuai dengan kebutuhan pengguna. Setiap update modifikasi sistem harus dilakukan secara mandiri dan memerlukan pengecekan menyeluruh terhadap seluruh perangkat yang digunakan. Dalam rangka mengupdate RME diperlukan asesmen kesiapan. Penelitian ini bertujuan untuk menilai kesiapan RME dalam 4 aspek meliputi aspek alur kerja, aspek infrastruktur teknologi (IT), aspek sumber daya manusia (SDM), aspek organisasi. Penelitian ini dilakukan pada bulan September 2024 – Januari 2025. Jenis penelitian Kualitatif menggunakan Metode Qualitative Content Analysis (QCA). Data dikumpulkan melalui wawancara mendalam (in-depth interview) dan observasi dengan 4 informan yang terdiri dari kepala instalasi rawat jalan, kepala tim IT dan staf IT, kepala SDI yang relevan dan keterlibatan langsung dalam proses implementasi RME di instalasi rawat jalan. Analisis data menggunakan MAXQDA Software. Hasil penelitian dari 4 aspek tersebut menunjukkan bahwa pada aspek alur kerja, implementasi RME belum sepenuhnya siap karena belum tersedianya SOP yang sesuai dengan sistem RME, dimana kebijakan yang digunakan masih mengacu pada pedoman rekam medis manual. Pada aspek infrastruktur teknologi (IT), bahwa hardware masih diperlukan adanya UPS (Uninterruptible Power Supply), software sudah memadai namun fitur RME seperti asesmen awal rehabilitasi medik dan asesmen fisioterapi belum sesuai dengan kebutuhan pengguna. Selain itu fitur pendataan hasil echo jantung dan format laporan TB juga belum tersedia. Pada aspek SDM, terdapat 59 pengguna RME yang secara kuantitas dan kompetensi sudah memadai. Penguatan dilakukan melalui pelatihan terstruktur, kolaborasi, dan pendampingan intensif, serta evaluasi berkala oleh bagian SDI. Selain pengguna, terdapat tim pengelola SIMRS yang terdiri dari 19 orang tim adhoc dan 22 orang tim pengembangan. Pada aspek SDM, terdapat 59 pengguna RME dengan kompetensi dan jumlah yang memadai. Penguatan dilakukan melalui pelatihan, kolaborasi, pendampingan intensif, serta evaluasi berkala oleh bagian SDI. Tim pengelola SIMRS terdiri dari 19 orang tim adhoc dan 22 orang tim pengembangan, sementara tim IT berjumlah tiga orang dan masih membutuhkan dua programmer tambahan. Pada aspek organisasi, manajemen menunjukkan komitmen melalui pembentukan kedua tim tersebut yang bertugas mengkoordinasi kendala, menyediakan solusi, dan mengembangkan sistem guna memastikan implementasi RME berjalan optimal.
Analisis Spasial Lokal Faktor Risiko Individu terhadap Kejadian ISPA Balita di Kecamatan Kebon Jeruk Wilayah Davina Afifah Zahra; Witri Zuama Qomarania; Hosizah Hosizah; Tria Saras Pertiwi; Mieke Nurmalasari
Sehat Rakyat: Jurnal Kesehatan Masyarakat Vol. 5 No. 2 (2026): Mei 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/sehatrakyat.v5i2.7610

Abstract

Prevalence of acute respiratory infections (ARI) in Indonesia among toddlers in 2024 was 52.7%, with West Jakarta Administrative City ranking second highest in DKI Jakarta Province. ARI is an upper respiratory tract infection influenced by infectious agents and various individual and environmental risk factors. Differences in risk factors have the potential to cause differences in ARI incidence between regions, requiring spatial analysis to identify the geographical correlation of disease incidence. This study aims to analyze the spatial correlation of ARI incidence in toddlers with risk factors between sub districts in the Kebon Jeruk Health Center working area in 2025. The study was conducted from August - September 2025, with a population of 16,344 children with ISPA and a sample of 109 children. Analyzed using Moran's I Global Index and Local Indicators of Spatial Association (LISA) using the GeoDa program. The global analysis revealed no spatial autocorrelation between the occurrence of ISPA in children and all the risk factors studied. However, local spatial analysis identified significant spatial autocorrelation between ISPA cases and the following risk factors incomplete immunization (p-value = 0,015) in Kebon Jeruk subdistrict, smoking habits of family members (p-value = 0,015) in Kedoya Selatan and Sukabumi Selatan subdistrict, and mother education level (p-value = 0,006) in Kelapa dua subdistrict.
SIMRS Success through User Satisfaction Using DeLone McLean and Demographic Factors Tria Saras Pertiwi; Natalia Vanesia Setiawan; Hosizah Markam; Imam Sutanto
Jurnal Infokes Vol 16 No 1 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/n44r9g30

Abstract

Digital transformation in the healthcare sector encourages hospitals to adopt Hospital Information Systems (HIS), known in Indonesia as SIMRS to improve service efficiency and data management quality. However, the success of SIMRS implementation is strongly influenced by system quality, information quality, service quality, and users’ perceptions of the technology. This study aims to evaluate the success factors of SIMRS at RSIJ Pondok Kopi by integrating Perceived Usefulness and demographic factors into the DeLone and McLean (D&M) Information System Success Model through user satisfaction. This research methode is a quantitative design with cross sectional study using the PLS-SEM approach. The sample consisted of 62 SIMRS users selected using a total sampling technique. The study was conducted from May to August 2025. The results show that information quality and system quality significantly affect perceived usefulness, perceived usefulness significantly affects user satisfaction, and user satisfaction significantly affects net benefits. In addition, perceived usefulness has a significant indirect effect on net benefits. Meanwhile, demographic factors are not the main determinants of SIMRS success. Therefore, hospital management is recommended to prioritize improving information quality to optimize the effectiveness of SIMRS implementation.
Perancangan Dashboard Informasi Rumah Sakit dalam Mendukung Pengambilan Keputusan di RSUD Pameungpeuk Garut Ismi Azizah; Tria Saras Pertiwi; Witri Zuama Qomarania; Hosizah Hosizah
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 2 (2026): Mei: JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i2.3786

Abstract

The availability of timely, accurate, and relevant information is essential for supporting managerial decision-making in hospitals. However, information at RSUD Pameungpeuk Garut is primarily presented in conventional tabular reports, limiting its ability to meet the diverse information needs of different management levels. This study aimed to develop a hospital information dashboard prototype based on an assessment of users' information needs to support managerial decision-making. This study employed a qualitative approach within a Research and Development (R&D) framework using the Prototype model of the System Development Life Cycle (SDLC). Data were collected through observations, in-depth interviews, and Focus Group Discussions (FGDs) involving representatives from middle and lower management levels. The collected data were analyzed through data reduction, coding, categorization, and thematic analysis to identify users' information requirements, which subsequently informed the dashboard design.The findings revealed that information needs varied across management levels. Top managementrequired concise strategic information for organizational decision-making, middle management needed analytical information for monitoring and performance evaluation, whereas lower management required detailed operational information to support daily activities and routine reporting. Based on these findings, three dashboard prototypes were developed: strategic, tactical, and operational dashboards, each tailored to the specific information requirements of its intended users.The proposed dashboard prototype is expected to improve the accessibility and presentation of managerial information while supporting more effective, evidence-based decision-making. Furthermore, the findings provide a practical foundation for developing an integrated hospital information dashboard within the Hospital Management Information System (HMIS).
The Examination System Quality and Information Quality in the Use of the JKN Mobile App Mitha Mandasary; Mieke Nurmalasari; Hosizah Hosizah; Tria Saras Pertiwi
Jurnal Infokes Vol 16 No 2 (2026): Jurnal Ilmiah Rekam Medis dan Informatika Kesehatan
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/prn4sq46

Abstract

Background: The Mobile JKN application enables BPJS Kesehatan participants to access health services, including online outpatient registration. At Jampangkulon Hospital, 13,021 of 28,896 outpatient visits (44.92%) were registered through Mobile JKN between January and June 2025. Despite increasing use several system related issues persist underscoring the need to evaluate the system and information quality supporting the application. Objective: This study aimed to assess the association of system quality and information quality on the utilization of the Mobile JKN. Methods: The study adopted a cross-sectional analytical design and involved 388 Mobile JKN users selected through accidental sampling. The data were collected using a validated and reliable questionnaire with a four-point Likert scale and analysed through multiple linear regression. The Mobile JKN use was evaluated using five indicators: frequency, duration, intensity, nature, and pattern. Results: The result showed that system quality (b= 0.204; 95% CI: 0.11–0.29; p < 0.001) and information quality (b= 0.547; 95% CI: 0.47–0.63; p < 0.001) were positively and significantly associated with application use. Conclusion: The model explained 71.2% of the variance in application use (R² = 0.712). Suggestion: Hospital Manajemen and BPJS Kesehatan should continue improving the system to encourage wider adoption.
Co-Authors AA Sudharmawan, AA Agus Herwanto Alifah Syibilla Kesiha Amelia Febriana Anastasia Cyntia Dewi Kurniawati Annisa Oktarini Davina Affah Zahra Davina Afifah Zahra De Vita Enjelin Dewi, Sukmala Dita Manisha Amrina Putri Ditya Pratama Dyah Kurniawati Elistia, Elistia Fajri, Rahayu Nurul Fariz Satya Hadi Herlina Afrelina Hosizah Hosizah Hosizah Hosizah Markam Husni Abdul Muchlis Husni Abdul Muchlis Ichwani, Arief Ikaningsih, Kurnia Tisna Imam Sutanto Ismi Azizah Jihan Saskia Salsabilla Kurnia Tisna Ikaningsih Kurniawati, Anastasia Cyntia Dewi Megawati Mitha Mandasary Muda, Cut Alia Keumala Nafs, Tazkyatun Natalia Vanesia Setiawan Nauri Anggita Temesvari Nurmalasari, Mieke Putu Gita Maya Widyaswari Mahayasih Rafi Perdana Tamher Sa'pang, Mertien Salsabilla, Jihan Saskia Salshabila, Andini Dwi Saputra, Alief Imran Septia Silviana Dewi Sri Teguh Rahayu, Sri Teguh Sunarti Supryatno, Adi Susi Arianti Sutanto, Imam Tazkyatun Nafs Temesvari, Nauri Anggita Widodo, Agus Widodo Witri Zuama Witri Zuama Qomarania Witri Zuama Qomarania Yosi Siti Nur Azizah