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All Journal Jurnal Transformatika International Journal of Health Science
Ayu Ashari
Universitas Dian Nuswantoro
Computer Science & IT Health Professions Public Health Social Sciences

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Determining Factors in Choosing a Caesarean Section: The Role of Health Financing and Availability of Health Facilities in Indonesia Alfiena Nisa Belladiena; Ayu Ashari; Nugraheni Kusumawati; Syifa Sofia Wibowo; Fitria Wulandari; Heru Pramono Hadi; Aries Setiawan
International Journal Of Health Science Vol. 5 No. 3 (2025): November : International Journal of Health
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijhs.v5i3.6081

Abstract

The rising global cesarean section (SC) rate, projected to reach 29% by 2030, is a concern in Indonesia, where SC prevalence increased to 25.9% in 2023 from 17.6% in 2018. While medical indications drive SC, non-clinical factors like financing and healthcare access may contribute to overuse. This study examines the role of Indonesia’s BPJS health insurance and hospital availability in determining SC utilization. A cross-sectional analysis was conducted using SKI 2023 data, including 70,916 women with deliveries between 2018 and 2023 (weighted n = 20,076,001). Bivariate associations were assessed using chi-square tests with complex sample design, applying survey weights for national representativeness. SC prevalence was 25.9%, with 34.9% of BPJS-covered deliveries being SC compared to 10.8% for out-of-pocket payments (p < 0.001). Hospital availability within the district was associated with a 27.0% SC rate versus 16.1% where no access existed (p < 0.001). Private insurance (50.3%) and employer-funded (37.4%) deliveries also showed higher SC rates. BPJS coverage and hospital availability significantly influence SC utilization in Indonesia, suggesting improved access but potential overuse. Rural disparities highlight the need for infrastructure investment to ensure equitable maternal care under Universal Health Coverage. Further research with causal methods is recommended.
PENERAPAN METODE PROFILE MATCHING UNTUK MANAJEMEN EVALUASI TUMBUH KEMBANG ANAK Sasono Wibowo; Aries Setiawan; Aris puji Purwatiningsih; Retno Astuti Setijaningsih; Ayu Ashari; Andi Hallang Lewa; Faik Agiwahyuanto
Jurnal Transformatika Vol. 21 No. 1 (2023): July 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v21i2.6939

Abstract

Evaluasi tumbuh kembang pada anak penting dilakukan agar apabila terjadi penyimpangan pertumbuhan dapat segera dilakukan intervensi sejak awal sehingga dapat meminimalisir kelainan yang mungkin terjadi. Pada anak usia dini perlu dilakukan evaluasi setiap bulan yaitu untuk anak usia 12-72 bulan dan enam bulan sekali untuk anak usia 12-72 bulan. Dalam pelayanan kesehatan berfungsi untuk mengevaluasi tingkat kesehatan anak, namun untuk evaluasi anak di sekolah berguna untuk mengetahui kekuatan dan kelemahan komponen tumbuh kembang aspek kognitif, afektif, psikomotorik. Beberapa cara yang digunakan untuk mengevaluasi adalah dengan tes, pengukuran dan penilaian. Pengukuran sering digunakan untuk menilai jenis nilai sikap (afektif), misalnya kesediaan untuk berbagi dengan sesama teman. Evaluasi dalam bentuk tes digunakan untuk tipe kognitif dan penilaiannya lebih pada evaluasi tipe psikomotorik. Metode yang digunakan adalah profile matching
Sistem Pendukung Keputusan Penyesuaian Nutrisi Makanan Berdasar Rekam Medis Pasien Berbasis Forward Chaining Aries Setiawan; Retno Astuti Setijaningsih; Juli Ratnawati; Faik Agiwahyuanto; Ida Farida; Ayu Ashari; Jaka Prasetya
Jurnal Transformatika Vol. 21 No. 2 (2024): Januari 2024
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v21i2.8211

Abstract

Fulfilling nutrition for patients certainly does not only pay attention to the last illness they suffered, but nutritionists also need to pay attention to the patient's medical history. Providing certain foods to support the body's recovery after treatment for certain diseases may not necessarily be in accordance with the history of previous illnesses. Fulfilling nutritional intake according to certain disease conditions is not easy, especially if the patient has a medical history with a variety of diseases, so nutritionists need to be more selective in providing nutritional intake from a number of alternative foods that will be provided. A management decision system based on artificial intelligence is able to choose a food balance that is balanced with the various complaints experienced by patients. The method used in the food management information system for medical records uses the forward chaining method, namely by determining forward, in this case, food nutritional information that is suitable for the patient, by reading the facts that have been arranged as a representation to produce a conclusion. The accuracy value resulting from comparing manual nutrient selection and using forward chaining was 86%
Co-Authors Agiwahyuanto, Faik Alfiena Nisa Belladiena Andi Hallang Lewa Aries Setiawan Aris Puji Purwatiningsih Fitria Wulandari Hadi, Heru Pramono Ida Farida Jaka Prasetya Juli Ratnawati nugraheni kusumawati Retno Astuti Setijaningsih Sasono Wibowo Syifa Sofia Wibowo