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The Usability Evaluation of a Stunting Monitoring Application Using the System Usability Scale at Posyandu Harapan Sejahtera Siti Masrochah; Yeti Kartikasari; Darmini; Edy Susanto; Mochammad Arief Darmawan
Jurnal Rekam Medis dan Informasi Kesehatan Vol. 9 No. 1 (2026): MARCH 2026
Publisher : Poltekkes Kemenkes Semarang

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

Abstract

The Stunting Monitoring Application was developed to assist mothers and health cadres in recording anthropometric data, monitoring daily nutritional intake, interpreting z-scores, and visualizing child growth. This study aimed to evaluate the usability of the application using the System Usability Scale (SUS) at Posyandu Harapan Sejahtera. This study employed a descriptive quantitative design with a cross-sectional approach. Data were collected from 30 mothers who had completed guided application-use tasks and assessed ten SUS statements using a five-point Likert scale. The SUS score was calculated by converting the contributions of positive and negative items, then multiplying the total score by 2.5. The results showed a mean SUS score of 82.17, with a standard deviation of 6.46, a median of 82.50, a minimum score of 67.50, and a maximum score of 95.00. A total of 19 respondents (63.33%) were categorized as very good, 10 respondents (33.33%) as good, and 1 respondent (3.33%) as low marginal. These findings indicate that the application has good usability potential to support community health post-based stunting monitoring.
Development of a Total Productive Maintenance (TPM) Model Towards Improving the Performance of Digital Radiography (DR) Devices Arsya Destian Rahmadhan; Nina Indriyawati; Yeti Kartikasari
International Journal of Public Health Vol. 3 No. 3 (2026): September: International Journal of Public Health
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijph.v3i3.672

Abstract

Digital Radiography (DR) is a high-utilization imaging modality requiring effective maintenance to ensure optimal image quality and equipment availability. Conventional maintenance practices, which are predominantly manual and reactive, frequently lead to increased downtime and significant documentation challenges. Consequently, implementing a digital-based Total Productive Maintenance (TPM) system is essential to support a more structured and proactive approach. This study aims to develop and evaluate the effectiveness of a digital application-based TPM model, with a specific focus on the Autonomous Maintenance pillar, to improve the operational performance of DR equipment. The research employed a mixed-methods Research and Development (R&D) design based on the Borg & Gall model. The key stages included initial information collection, model development, expert validation, implementation, and effectiveness evaluation. Equipment performance was comprehensively assessed utilizing Overall Equipment Effectiveness (OEE) and Failure Mode and Effect Analysis (FMEA), while user satisfaction was measured using a 4-point Likert scale. The implementation of the digital-based TPM model using AppSheet resulted in measurable improvements across all OEE components, including availability, performance, and quality, when compared to baseline conditions. Post-intervention FMEA analysis demonstrated a notable reduction in Risk Priority Number (RPN) values for several critical failure modes. Furthermore, user satisfaction among radiographers was rated highly, particularly regarding the ease of documentation, reporting efficiency, and the clarity of maintenance history tracking. The digital application-based TPM model effectively enhances DR equipment performance, optimizes maintenance documentation, and significantly increases user engagement through Autonomous Maintenance, demonstrating strong potential for sustainable implementation in healthcare facilities.
Analisis Efisiensi Operasional Instalasi Radioterapi Dengan Pendekatan Lean Healthcare Di Rumah Sakit Tk. II Dr. Soepraoen Malang Muhammad Guswandi; Edy Susanto; Ahmad Hariri; Lanny Sunarjo; Yeti Kartikasari
Jurnal Ners Vol. 10 No. 4 (2026): OKTOBER 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v10i4.63419

Abstract

Latar Belakang: Pelayanan radioterapi merupakan layanan onkologi yang membutuhkan ketepatan waktu, koordinasi lintas profesi, keselamatan pasien, serta pemanfaatan alat Linear Accelerator (LINAC) secara optimal. Namun, proses pelayanan radioterapi masih menghadapi berbagai pemborosan, seperti waktu tunggu pasien yang panjang, duplikasi proses verifikasi, idle time alat, dan koordinasi antarunit yang belum efektif. Tujuan: Menganalisis efisiensi operasional Instalasi Radioterapi Rumah Sakit Tk. II dr. Soepraoen Malang dengan pendekatan Lean Healthcare untuk mengidentifikasi pemborosan serta merumuskan strategi perbaikan berkelanjutan. Metode Penelitian: Penelitian ini menggunakan metode mixed method dengan pendekatan kuantitatif dan kualitatif. Data kuantitatif diperoleh melalui pengukuran waktu tunggu, waktu proses pelayanan, tingkat utilisasi Linear Accelerator (LINAC), serta kuesioner kepuasan pasien. Data kualitatif diperoleh melalui observasi alur pelayanan, wawancara mendalam, Focus Group Discussion (FGD), dan dokumentasi. Penelitian ini melibatkan perspektif multidisiplin yang terdiri atas dokter onkologi radiasi, radiografer, fisikawan medis, perawat, tenaga administrasi, serta unsur manajemen pelayanan. Instrumen penelitian meliputi lembar observasi, kuesioner, pedoman wawancara, checklist Value Stream Mapping (VSM), dan formulir Root Cause Analysis (RCA). Data dianalisis secara deskriptif, kemudian diperdalam menggunakan Value Stream Mapping untuk memetakan aktivitas bernilai tambah dan tidak bernilai tambah, serta Root Cause Analysis untuk mengidentifikasi akar penyebab inefisiensi. Hasil dan Pembahasan: Hasil penelitian menunjukkan bahwa efisiensi operasional Instalasi Radioterapi belum optimal. Pemborosan utama terdapat pada waktu tunggu pasien, verifikasi data berulang, waktu tunggu persiapan pasien dan alat, serta idle time LINAC. Analisis Value Stream Mapping menunjukkan adanya hambatan pada tahapan tunggu pasien, verifikasi, persiapan pasien dan alat, serta pelaksanaan terapi. Sementara itu, Root Cause Analysis mengidentifikasi akar masalah berupa belum optimalnya integrasi jadwal pasien, alat, dan petugas; belum bakunya alur verifikasi; serta belum seragamnya kesiapan praterapi. Rekomendasi perbaikan meliputi penerapan penjadwalan terintegrasi berbasis sistem, penguatan checklist praterapi, penetapan penanggung jawab verifikasi, pemantauan idle time LINAC, serta evaluasi berkelanjutan berbasis kerja sama multidisiplin.