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Perancangan Sistem Informasi Eksekutif untuk Meningkatkan Performa Kinerja Pemeriksaan Risiko Kesehatan Ibu Hamil pada Klinik Kebidanan dan Penyakit Kandungan Juniarti, Ulan; Nurhalizah, Ria Suci; Islahati, Ariefah Khairina; Al-Majra R.A., Chairunnisa; Setiawan, Retno Agus
Jurnal Borneo Informatika dan Teknik Komputer Vol 4, No 1 (2024): Edisi April-September
Publisher : Jurusan Teknik Komputer, Fakultas Teknik, Universitas Borneo Tarakan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35334/jbit.v4i1.4953

Abstract

Abstract: Based on WHO data in 2020, it was found that around 287,000 women died during and after pregnancy, especially in low-income countries. The measurement of maternal mortality rate (MMR) becomes the focus with the implementation of early detection system of pregnancy risk. The development of an Executive Information System (EIS) in the form of dashboard management can support decision making and health monitoring of pregnant women in obstetrics and gynecology clinics. The methods used are dataset preparation, analysis using SQL, and dashboard design. The results show that the EIS can provide a statistical overview of the risks of pregnant women, facilitate multivariate and bivariate analysis, and map the geographical distribution of risks in Indonesia. This study concludes that EIS in the form of dashboard management can be an effective solution to improve the performance of pregnant women's health performance by supporting fast and accuratedecision making.Abstrak: Berdasarkan data WHO tahun 2020, ditemukan bahwa sekitar 287.000 perempuan meninggal selama dan setelah kehamilan, terutama di negara-negara berpendapatan rendah. Pengukuran Angka Kematian Ibu (AKI) menjadi fokus dengan implementasi sistem deteksi dini risiko kehamilan. Pengembangan Sistem Informasi Eksekutif (EIS) berupa manajemen dashboard dapat mendukung pengambilan keputusan dan pemantauan kesehatan ibu hamil di klinik kebidanan dan kandungan. Metode yang digunakan yaitu persiapan dataset, analisis menggunakan SQL, dan desain dashboard. Hasilnya menunjukkan bahwa EIS dapat memberikan gambaran statistik risiko ibu hamil, memfasilitasi analisis multivariant dan bivariate serta memetakan distribusi geografis risiko di Indonesia. Penelitian ini menyimpulkan bahwa EIS berbentuk manajemen dashboard dapat menjadi solusi efektif untuk meningkatkan performa kinerja kesehatan ibu hamil dengan mendukung pengambilankeputusan cepat dan akurat.
Design and Development of Drug Formulation Classification Information System Setiawan, Retno Agus; Al-Hakim, Rosyid Ridlo; Trivilia, Indah; Juniarti, Ulan
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.28018

Abstract

The increasing complexity of pharmaceutical management in pharmacies demands efficient systems to streamline drug classification and inventory control. As pharmacies handle a diverse range of formulations, including tablets, syrups, and injectables, the need for advanced systems that ensure accuracy, efficiency, and compliance is becoming increasingly evident. This study focuses on the design and development of a web-based Drug Formulation Classification Information System, specifically tailored to improve the management of drug formulations. The system was developed using a Rapid Application Development (RAD) approach with a focus on user-centered design, prioritizing the needs and experiences of end-users, particularly pharmacists and administrators. Core functionalities incorporated into the system include real-time inventory updates, advanced drug search and classification, and automated report generation to simplify daily operations. To evaluate system performance and user experience, usability testing was conducted with pharmacists from UHB Educational Pharmacy. Results indicated a high user satisfaction rate, with 85% of participants finding the system intuitive and easy to use. The system’s architecture features a clear and intuitive user interface that minimizes the learning curve, ensuring that both experienced and novice users can navigate the platform efficiently with minimal training. Feedback from testing aligned with the Technology Acceptance Model (TAM), emphasizing the importance of perceived ease of use and usefulness in driving system adoption and user satisfaction. This research contributes to the growing field of pharmacy informatics by offering a scalable, adaptable solution for pharmacy management, with potential for integration into larger healthcare systems. Future enhancements will focus on integrating predictive analytics and extending system capabilities to further support pharmaceutical operations and patient care.