Claim Missing Document
Check
Articles

Found 27 Documents
Search

Lung X-ray Image Similarity Analysis Using RGB Pixel Comparison Method Pariyasto, Sofyan; ., Suryani; Warongan, Vicky Arfeni; Sari, Arini Vika; Widiyanto, Wahyu Wijaya
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8776

Abstract

The high death rate caused by pneumonia and Covid-19 is still quite high. Based on data released by WHO, 14% of deaths in children under 5 years old are caused by pneumonia. One of the processes carried out to help the diagnosis process is to look at lung images using X-Ray images. To obtain information about normal lung X-Ray images, Pneumonia and Covid-19, calculations are carried out using the color difference in each pixel of the X-ray image. The calculation process will provide output in the form of numbers in units of 0 to 100. This is done to facilitate the process of identifying the similarity of each X-Ray image being compared. The research stages are carried out with stages starting from adjusting the image size, then by breaking down the pixel values of the two images being compared and the process of calculating the difference in value from each pixel with the same coordinates. After calculating a combination of 30,000 combinations using 300 x-ray images, the results obtained in the form of the level of similarity between normal x-ray images and pneumonia x-ray images are the highest with a similarity percentage of 80.06%. The combination of normal images and pneumonia images is 10,000 combinations using 100 normal x-ray images and 100 pneumonia x-ray images. Normal x-ray images and covid x-ray images have a similarity of 79.18%. The combination of normal images and covid images is 10,000 combinations. The combination uses 100 normal x-ray images and 100 covid x-ray images. Pneumonia x-ray images and covid x-ray images have the lowest similarity level of 78.87%. The combination of pneumonia x-ray images and covid x-ray images is 10,000 combinations. The data used in the combination are 100 pneumonia images and 100 covid images. From the test results, the information obtained was that Accuracy was worth 0.54, Precision was worth 0.54, Recall was worth 0.59 and F1-score was worth 0.56.
Evaluation of electronic medical record user satisfaction in baros public health center using the end user computing satisfaction model Putra, Dwi Anantama; Widiyanto, Wahyu Wijaya
Science Midwifery Vol 13 No 1 (2025): April: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i1.1860

Abstract

The implementation of Electronic Medical Records (EMRs) has transformed healthcare services by improving accessibility, efficiency, and patient data management. However, user satisfaction remains a significant challenge, affecting the successful adoption and utilization of EMR systems. This study evaluated EMR user satisfaction at UPTD Puskesmas Baros, Kota Sukabumi using the End User Computing Satisfaction (EUCS) model, which assesses five key factors: content, accuracy, format, ease of use, and timeliness. A cross-sectional survey was conducted among 120 healthcare professionals, and the collected data were analyzed using descriptive statistics and multiple linear regression. The results indicated that format had a significant negative impact on satisfaction, suggesting usability issues related to system interface design. While content and accuracy were positively correlated with satisfaction, their effects were not statistically significant. Ease of use and timeliness showed weak correlations, indicating that system efficiency remains a concern. The findings highlight the need for user-centered design improvements and workflow integration strategies to enhance EMR usability. Future research should explore additional factors influencing satisfaction and investigate the long-term effects of system modifications.
Evaluating electronic medical record implementation using the HOT-FIT model at UPTD Puskesmas Ungaran Kurniawati, Novi Ika; Widiyanto, Wahyu Wijaya
Science Midwifery Vol 13 No 1 (2025): April: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i1.1896

Abstract

This study evaluated the implementation of Electronic Medical Records (EMR) at UPTD Puskesmas Ungaran using the Human-Organization-Technology Fit (HOT-FIT) model. The research employed a descriptive qualitative approach to explore how human readiness, organizational support, and technological infrastructure influenced EMR adoption. Data were collected through in-depth interviews, observations, and document analysis involving twelve healthcare professionals. Thematic analysis revealed that most users had limited training and lacked confidence in using the system, often leading to partial documentation. Organizationally, there was minimal supervision, unclear standard operating procedures, and no internal technical support. Technologically, the system frequently experienced downtime and integration failures with national platforms such as Pcare BPJS. These findings indicate that the EMR implementation remains fragmented and procedural, rather than transformative. The study concluded that the success of EMR adoption requires not only system availability but also holistic readiness across all HOT-FIT dimensions. Practical recommendations include ongoing capacity-building, improved policy enforcement, and user-centered system development. This study provides insight for policymakers and healthcare managers to enhance EMR sustainability in primary care settings.
Evaluating registration staff understanding of electronic medical record use Nurnanik, Iis; Widiyanto, Wahyu Wijaya
Science Midwifery Vol 13 No 1 (2025): April: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i1.1897

Abstract

This study aimed to evaluate the understanding of registration staff regarding the use of Electronic Medical Records (EMR) at Puskesmas Bringin, a primary healthcare center in Semarang Regency. Despite the growing emphasis on digital transformation in health services, the success of EMR implementation largely depends on how well frontline staff comprehend and engage with the system. Using a qualitative descriptive method, data were collected through in-depth interviews and direct observations with selected registration officers. The findings revealed varying levels of understanding among staff, influenced by differences in digital literacy, training exposure, and system accessibility. Some staff demonstrated strong conceptual and operational knowledge of EMR, while others relied on peer support or manual records due to uncertainty in system navigation. Technical barriers and limited organizational support further impacted their ability to fully utilize EMR functions. The study concluded that improving staff understanding requires targeted training, user-friendly system design, and continuous mentoring. These efforts are essential to ensure the successful integration of EMR in primary healthcare services and to support better health data management at the grassroots level.
Readiness analysis of electronic medical record implementation in inpatient services using the DOQ-IT Method at Pusri Hospital Palembang Budiantono, Budiantono; Widiyanto, Wahyu Wijaya
Science Midwifery Vol 13 No 1 (2025): April: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i1.1899

Abstract

This study explored how ready Pusri Hospital Palembang was to implement electronic medical records in its inpatient services, using the Doctor’s Office Quality – Information Technology (DOQ-IT) framework. Using a quantitative, cross-sectional approach, data were gathered from 43 health workers and administrative staff through validated questionnaires. The assessment focused on four key areas: readiness of human resources, organizational work culture, governance and leadership, and the hospital’s technology infrastructure. Results showed that while infrastructure and governance were relatively ready, the readiness of staff and the work culture still needed improvement. Statistical analysis confirmed that all four factors significantly influenced the hospital’s overall readiness to adopt electronic medical records. Although the hospital demonstrated moderate readiness, the findings highlight the need for enhanced training and better infrastructure planning to ensure a smoother digital transition. This study offers practical insights for hospital leaders and health policymakers aiming to advance digital transformation in healthcare settings.
Interactive ICD-10-Based Morbidity Dashboard Using BPJS Central Data: A Case Study of Karanganyar Regency Widiyanto, Wahyu Wijaya; Amallia, Ade; Wariyanti, Astri Sri
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.44415

Abstract

The increasing complexity of disease trends in the post-pandemic era necessitates more accessible and data-driven decision-making tools, particularly in primary healthcare services. This study aims to develop an interactive morbidity dashboard based on ICD-10 classifications using secondary data from BPJS Kesehatan. The research focuses on outpatient visit records in Karanganyar Regency from 2020 to 2024. A descriptive quantitative approach was applied, accompanied by system development using Python. Data preprocessing involved standardizing ICD-10 codes, handling missing values, and grouping by year, gender, and age category. The resulting dashboard allows users to filter morbidity trends based on demographic variables and disease categories. The ten most prevalent disease groups include respiratory, digestive, endocrine, and circulatory disorders. This dashboard facilitates data-based decision-making and enables targeted promotive and preventive interventions in primary healthcare facilities.
Analisis Implementasi Rekam Medis Elektronik Rawat Inap di RSUD Merah Putih dengan Model HOT-FIT Afandi, Andrianto; Widiyanto, Wahyu Wijaya
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.47860

Abstract

Perkembangan teknologi informasi di bidang kesehatan mendorong rumah sakit untuk mengimplementasikan Rekam Medis Elektronik (RME) guna meningkatkan kualitas layanan dan efisiensi operasional. RSUD Merah Putih Kabupaten Magelang telah menerapkan RME secara penuh pada layanan rawat inap sejak Maret 2024. Penelitian ini bertujuan untuk menganalisis implementasi RME dengan menggunakan model HOT-FIT yang mencakup faktor manusia, organisasi, teknologi, dan kesesuaian (fit) antar faktor tersebut. Penelitian dilakukan dengan metode kualitatif deskriptif melalui wawancara mendalam terhadap 10 informan dari berbagai profesi, seperti dokter, perawat, farmasi, radiologi, laboratorium, dan IT. Hasil penelitian menunjukkan bahwa RME sangat membantu dalam mempercepat pencatatan medis, memudahkan koordinasi antardepartemen, dan mendukung pelayanan pasien. Manajemen mendukung melalui pelatihan dan penyediaan infrastruktur, namun masih terdapat kendala dalam penerapan SOP dan penanganan gangguan sistem. Pada aspek teknologi, sistem dinilai cukup baik tetapi perlu peningkatan pada kecepatan akses, integrasi data antarunit, serta stabilitas server. Secara umum, kesesuaian antara faktor human, organization, dan technology sudah baik, tetapi perlu perbaikan pada mekanisme feedback dan transparansi informasi saat terjadi error. Rumah sakit disarankan untuk mengoptimalkan infrastruktur teknologi, SOP teknis, dan pelatihan berkelanjutan guna mendukung keberhasilan implementasi RME. Kata Kunci: Rekam Medis Elektronik, HOT-FIT, rawat inap, sistem informasi kesehatan, RSUD.
Analisis Implementasi Rekam Medis Elektronik Menggunakan Fishbone di Puskesmas Sukoharjo Wati, Risa Kurnia; Widiyanto, Wahyu Wijaya
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.47862

Abstract

Digitalisasi pelayanan kesehatan melalui rekam medis elektronik (RME) menjadi kewajiban bagi seluruh fasilitas pelayanan kesehatan di Indonesia. Namun, implementasi RME di tingkat puskesmas masih menghadapi beragam tantangan, mulai dari keterbatasan sumber daya manusia hingga infrastruktur yang belum memadai. Penelitian ini bertujuan menganalisis implementasi RME di Puskesmas Sukoharjo dengan pendekatan Fishbone Diagram untuk mengidentifikasi akar permasalahan dan memberikan rekomendasi perbaikan. Metode yang digunakan adalah deskriptif kualitatif dengan teknik wawancara semi-terstruktur, observasi, dan studi dokumentasi. Informan terdiri dari kepala unit dan petugas pelaksana, sementara analisis data dilakukan dengan teknik Miles dan Huberman serta triangulasi sumber dan metode. Hasil penelitian menunjukkan adanya kendala pada faktor Man (kompetensi dan pelatihan terbatas), Method (tidak adanya SOP yang tersosialisasi), dan Machine (perangkat dan jaringan tidak memadai). Selain itu, anggaran khusus untuk pemeliharaan dan pengembangan sistem tidak tersedia. Kesimpulan dari penelitian ini menekankan pentingnya peningkatan kapasitas SDM, penyediaan sarana prasarana yang memadai, penyusunan SOP yang terstruktur, serta advokasi anggaran berbasis output agar implementasi RME berjalan optimal. Kata Kunci: rekam medis elektronik, fishbone, puskesmas, manajemen informasi kesehatan
EVALUASI KESIAPAN IMPLEMENTASI REKAM MEDIS ELEKTRONIK DENGAN METODE DOQ-IT Isnaeni, Dwi Retno; Widiyanto, Wahyu Wijaya
Jurnal Infokes Vol 15 No 2 (2025): 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/sz6pxf23

Abstract

Transformasi digital dalam pelayanan kesehatan mendorong fasilitas pelayanan primer, seperti puskesmas, untuk mengadopsi sistem Rekam Medis Elektronik (RME). Namun, keberhasilan implementasi RME tidak hanya bergantung pada teknologi, melainkan juga kesiapan sumber daya manusia, organisasi, serta dukungan kebijakan internal. Penelitian ini bertujuan untuk mengevaluasi kesiapan implementasi RME di UPTD Puskesmas Jimbaran, Kabupaten Semarang menggunakan pendekatan DOQ-IT. Metode yang digunakan adalah deskriptif kualitatif dengan desain studi kasus, melibatkan delapan informan kunci yang dipilih secara purposif. Data dikumpulkan melalui wawancara, observasi, dan studi dokumentasi, lalu dianalisis secara tematik. Hasil penelitian menunjukkan bahwa kesiapan infrastruktur dan sumber daya manusia berada pada kategori cukup siap, sementara kesiapan organisasi serta hambatan teknis dan operasional masih tergolong kurang siap. Evaluasi menggunakan metode DOQ-IT efektif dalam mengidentifikasi aspek yang perlu ditingkatkan sebelum penerapan RME secara menyeluruh. Kesimpulan dari penelitian ini menegaskan pentingnya dukungan kebijakan internal, pelatihan berkelanjutan, serta penguatan peran manajemen untuk mewujudkan transformasi digital layanan kesehatan primer yang berkelanjutan.
Electronic medical record acceptance using technology acceptance model at Panti Waluyo Hospital Surakarta Safitri, Rizky Nur; Widiyanto, Wahyu Wijaya
Science Midwifery Vol 13 No 4 (2025): October: Health Sciences and related fields
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/midwifery.v13i4.2067

Abstract

The adoption of Electronic Medical Records (EMR) in Indonesia has been accelerated by national regulations; however, many hospitals continue to face significant challenges such as limited infrastructure, varying levels of digital literacy among healthcare workers, and resistance to shifting from paper-based systems. These issues highlight the urgency of evaluating user acceptance in specific hospital contexts. This study evaluates the acceptance of EMR implementation at Panti Waluyo Hospital Surakarta using the Technology Acceptance Model (TAM). A descriptive qualitative design was applied through in-depth interviews, observations, and document reviews. Fifteen participants, including physicians, nurses, medical record officers, and administrative staff, were purposively selected to represent core EMR user groups. The findings indicated that 73% of respondents perceived EMR as useful in improving documentation efficiency and accuracy, while 67% agreed that the system was easy to navigate. Moreover, 80% expressed willingness to continue using EMR. Barriers identified included technical disruptions (40%) and the need for continuous training (53%). Overall, the results suggest that EMR adoption is positively accepted within the hospital, although organizational support and infrastructure improvements remain necessary. The study concludes that perceived usefulness and perceived ease of use play significant roles in shaping user attitudes and behavioral intentions, which in turn influence actual system use. Strengthening user competence, addressing digital literacy gaps, and ensuring technical reliability are essential to sustain EMR implementation in healthcare settings.