Diagnosa Preeklampsia pada Ibu Hamil Menggunakan  Sistem Informasi Berbasis Web

Aini, Fajaria Nur; Widyawati, Melyana Nurul; Santoso, Bedjo

doi:10.31539/jks.v2i2.508

Cited by 2 publications

(3 citation statements)

References 12 publications

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“…In addition, the information system can provide convenience in accessing patient data, allowing this to be done more quickly as well. The duration of the detection process affects its handling and subsequent actions (Aini, Widyawati, and Santoso, 2019). Runjati Based on these calculations, it is known that the e-Health system can detect 374 pregnant women in one day (24 hours) with the assumption that data is filled out at alternating times.…”

Section: Service Speed With Smartphone Toolsmentioning

confidence: 99%

Early Stress Detection During Pregnancy Using E-Health in the Pandemic

Runjati,

Rahayu

2023

JAKI

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Background: Women are more prone to stress during pregnancy than during the postpartum period. Stress during pregnancy is correlated with pregnancy and birth outcomes. Early detection using the e-health system is an alternative to health services during the pandemic. Aims: The research objective was to produce innovation in early stress detection using an information system based on the e-Health system. Methods: This study was conducted in the Ngaliyan Primary Healthcare Centre with 34 pregnant women. This study utilized both qualitative and quantitative research. Qualitative research used the System Development Life Cycle (SDLC), while quantitative research used an experimental design with a one-shot case study approach. Results: The e-Health system could automatically identify stress during pregnancy, with the TAM questionnaire yielding a very effective result of 85.4%. The average time needed to detect pregnant women’s stress was 230.94 seconds. This system can analyze 374 pregnant women within one day (24 hours), provide services, and report pregnant women’s stress detection results. Conclusions: The e-Health system effectively conserves time and can be used to record and report early stress in pregnant women. Keywords: early detection, information system, pregnancy, smartphone, stress

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Section: Service Speed With Smartphone Toolsmentioning

confidence: 99%

Early Stress Detection During Pregnancy Using E-Health in the Pandemic

Runjati,

Rahayu

2023

JAKI

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“…Oleh karena itu aplikasi computer berbasis web sangat penting bagi masyarakat sebagai langkah awal monitoring dan deteksi dini status kesehatan. [8] System informasi mampu merubah pola perawatan klien yang selama ini dilakukan secara tradisional. Mulanya para tenaga kesehatan harus berada dekat dengan pasien.…”

Section: Pembahasanunclassified

“…Survei menjukkan bahwa pengguna internet di Indonesia telah mencapai 61 juta orang dengan durasu akses lebih dari tiga jam setiap kali penggunaan. Karena itu, aplikasi komputer sangat penting bagi masyarakat, sebagai langkah awal pencegahan penyakit [7] [8] Sistem informasi merupakan suatu solusi dari banyaknya permasalahan yang ada dalam pelayanan kesehatan seperti kurang tersedianya sumberdaya, lamanya proses pelaporan, lamanya proses administrasi, ketidaklengkapan data yang ada, keterlambatan dalam menegakkan diagnosa dan pemberian penanganan, jauhnya jarak tempuh untuk menuju tempat layanan kesehatan, mahalnya biaya transportasi menuju tempat pelayanan kesehatan dan lain sebagainya. [13][8]…”

Section: Pembahasanunclassified

Pengembangan Sistem Informasi Penyakit Tidak Menular (Ptm) Berbasis Teknologi Informasi

Kurniasih

Purnanti

Atmajaya

2022

JTI

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The increase in deaths from Non-Communicable Diseases (NCD) is a serious threat to public health today. According to a survey of 10 people with PTM as many as 7 people do not realize they have PTM, so they are late in getting treatment which results in complications. costs and dependence of PTM sufferers on their families and surrounding communities. This long-lasting disease requires a large amount of money in the treatment and care process. Non-communicable disease (NCD) is one of the health problems in the community which is increasing every year, and is the biggest contributor to global mortality. Most (80%) NCDs occur in developing countries, including Indonesia. According to the Global Status Report on Non-Communicable Diseases, PTM can occur due to lack of physical activity, smoking, ineffective eating patterns, as a result can cause an increase in pressure, an increase in blood sugar, and an increase in blood fat. If this increase is not prevented, it will worsen and cause chronic diseases such as hypertension, diabetes, cholesterol, dyslipidemia and obesity. The development of this non-communicable information system is expected to help the community to observe health conditions. The public can use this system either through computers, mobile phones or other devices connected to the internet. The use of this application is very practical because users can access it anywhere and anytime.

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Diagnosa Preeklampsia pada Ibu Hamil Menggunakan Sistem Informasi Berbasis Web

Cited by 2 publications

References 12 publications

Early Stress Detection During Pregnancy Using E-Health in the Pandemic

Early Stress Detection During Pregnancy Using E-Health in the Pandemic

Pengembangan Sistem Informasi Penyakit Tidak Menular (Ptm) Berbasis Teknologi Informasi

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