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All Journal Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Dewi, Nandita Sekar Sukma
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Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology

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Sistem Pengaduan Kelurahan untuk Peningkatan Pelayanan Masyarakat Nurrohman, Hafidz Atsal; Dewi, Nandita Sekar Sukma; Ramadhan, Taufiq Fadhly
Jurnal Informa : Jurnal Penelitian dan Pengabdian Masyarakat Vol 9 No 2 (2023): Desember
Publisher : Politeknik Indonusa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46808/informa.v9i2.259

Abstract

Development of a sub-district complaint system as a participatory mechanism in improving public services at the local level. This system aims to provide a forum for the community to submit complaints regarding sub-district issues, ranging from infrastructure to security. Through a complaint form that is easily accessible through various channels, such as mobile applications and websites, the public can quickly and efficiently convey the problems they are experiencing. Incoming complaints are classified and prioritized based on type and level of urgency, enabling sub-district governments to respond effectively. This system is also integrated with local government structures, and has good coordination in handling complaints. Transparency is a key focus, with information about complaints, their status and actions taken available for the public to access.
Digital Training Recommendations for Enhancing Healthcare Human Resource Competence Using the Simple Additive Weighting Algorithm Maulindar, Joni; Dewi, Nandita Sekar Sukma; Mustapha, Jawahir Che
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/hr24wj75

Abstract

The main challenge in digital transformation within the healthcare sector lies in the limited mapping of human resources’ (HR) readiness toward information technology. This study aims to evaluate the digital readiness level of healthcare human resources using a data-driven approach. The Simple Additive Weighting (SAW) method was applied, utilizing six variables whose weights were determined through expert discussions. The results show that respondents’ digital readiness scores range from 0.800 to 0.858. The highest score was achieved by R011 (Doctor, Outpatient Department) with a score of 0.858, indicating excellent digital literacy and effective utilization of information systems. A score of 0.828 was obtained by R032 (Medical Records Administration, ICU), R035 (Midwife, Polyclinic), and R025 (Doctor, Outpatient Department), suggesting relatively even readiness levels. The lowest score, 0.800, belonged to R026 (Laboratory Analyst, Polyclinic), which still falls within the high-readiness category but indicates the need for improvement in health data analysis skills. The overall average score was 0.828, confirming that the majority of healthcare personnel demonstrate good digital readiness. These findings highlight the effectiveness of the SAW method in providing data-driven recommendations for digital capacity development. Moreover, the results can serve as a foundation for designing more targeted and efficient training programs. Overall, this study demonstrates that SAW-based mapping can effectively support strategic decision-making in the digital transformation of healthcare services.
Co-Authors Maulindar, Joni Mustapha, Jawahir Che Nurrohman, Hafidz Atsal Ramadhan, Taufiq Fadhly