Wahyuningsih, Wiji
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Rendahnya Skor Methods Information Index (MII) dan Faktor-Faktor Terkait: Analisis Survei Demografi dan Kesehatan Indonesia (SDKI) 2012 dan 2017 Wahyuningsih, Wiji; Budiharsana, Meiwita P
Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan Vol. 3, No. 3
Publisher : UI Scholars Hub

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Abstract

Informed choice memastikan bahwa pilihan kontrasepsi modern diputuskan perempuan setelah menerima informasi lengkap tentang metode kontrasepsi yang tersedia. Indeks informasi yang disebut Methods Information Index (MII) mengukur tiga elemen, yaitu efek samping masing-masing metode, kemana harus berobat jika efek samping muncul, dan perlu berganti ke kontrasepsi mana. Pemberian informasi lengkap tentang ketiga elemen MII merupakan pemenuhan etika dan hak-hak reproduksi perempuan. Penelitian ini menyajikan temuan rendahnya skoring MII di Indonesia, cermin dari tinggginya persentase perempuan pengguna kontrasepsi yang tidak menerima informasi lengkap dan faktor-faktor terkait. Sebanyak 45.607 dan 49.627 perempuan usia 15-49 tahun yang tercakup dalam Survei Demografi dan Kesehatan Indonesia (SDKI) tahun 2012 dan 2017 yang menjadi sampel. Data dianalisis menggunakan statistik regresi logistik yang memperlihatkan korelasi antara skoring MII dengan variabel bebas. Variabel bebas terdiri dari usia perempuan menikah 25 tahun ke atas, tingkat pendidikan menengah ke atas, akses pelayanan KB di bidan dan fasilitas kesehatan, serta pengguna metode IUD terkait dengan peluang lebih besar untuk menerima informasi MII lengkap. Proporsi perempuan penerima informasi MII lengkap adalah 24,60% (2012) dan 28,65% (2017). Lebih dari 70% perempuan pengguna kontrasepsi modern belum mendapatkan informasi MII lengkap. Perlu diupayakan agar program keluarga berencana memonitor peningkatan skoring indeks MII untuk memastikan perempuan pengguna kontrasepsi Indonesia terpenuhi haknya untuk mendapatkan informasi MII lengkap.
Geographically Weighted Regression Model of Stunting Determinants in Indonesia Kurniawati, Dini; Hastono, Sutanto Priyo; Safika, Iko; Wahyuningsih, Wiji
Journal of Maternal and Child Health Vol. 10 No. 3 (2025)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejmch.2025.10.03.02

Abstract

Background: Stunting is a chronic condition resulting from malnutrition during early growth, potentially affecting physical and cognitive development in children into adults. According to the 2023 Indonesian Health Survey (SKI), stunting in Indonesia remains at 21.5%. This figure is still far from the government's target for 2024, which was below 14%. This study aims to identify the determinants of stunting caused by spatial conditions in Indonesia in 2024. Subjects and Method: This study employed an ecological design with a spatial approach, utilizing aggregate data from the 2023 SKI and 2024 Central Bureau of Statistics (BPS) across 38 provinces in Indonesia. The dependent variable was stunting prevalence, and the analysis included eight independent variables using descriptive statistics, spatial analysis (Moran’s I and Local Moran’s I), multiple linear regression (OLS), and Geographically Weighted Regression (GWR). Data was processed between November 2024 and January 2025 using SPSS, Geoda, and R Studio. Results: Results show that the average stunting prevalence in Indonesia in 2024 was 23.56% (Standard Deviation: 6.80), which unmet the government’s target in the same year. The provinces with the lowest and highest stunting prevalence were Bali (7.2%) and Central Papua (39.3%). Meanwhile, Papua, West Papua, South Papua, Central Papua, and Highlands Papua were provinces with high stunting prevalence and surrounded by similarly high prevalence (high-high) provinces. In contrast, Banten and West Sumatra had high stunting prevalence but were surrounded by provinces with low prevalence (High-Low). Finally, factors influencing stunting across geographical areas included stunting knowledge, completion of immunization coverage, and poverty rates. Conclusion: Efforts to reduce stunting in Indonesia should focus on improving communication, information, and education, particularly in provinces with high prevalence. In addition, increasing coverage and access to complete basic immunization and enhanced family welfare should also be highlighted.
SARS-CoV-2 Antibody Seroprevalence in Jakarta, Indonesia Ariawan, Iwan; Jusril, Hafizah; N Farid, Muhammad; Riono, Pandu; Wahyuningsih, Wiji; Widyastuti, Widyastuti; Handayani, Dwi Oktavia T L; Wahyuningsih, Endang Sri; Daulay, Rebekka; Henderiawati, Retno; Malik, Safarina G; Noviyanti, Rintis; Trianty, Leily; Fadila, Nadia; Myint, Khin Saw Aye; Yudhaputri, Frilasita A.; Venkateswaran, Neeraja; Venkateswaran, Kodumudi; Udhayakumar, Venkatachalam; Hawley, William A.; Morgan, Juliette; Pronyk, Paul M
Kesmas Vol. 17, No. 3
Publisher : UI Scholars Hub

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Abstract

The SARS-CoV-2 transmission dynamics in low- and middle-income countries remain poorly understood. This study aimed to estimate the SARS-CoV-2 antibodies seroprevalence in Jakarta, Indonesia, and to increase knowledge of SARS-CoV-2 transmission in urban settings. A population-based serosurvey among individuals aged one year or older was conducted in Jakarta. Employing a multistage sampling design, samples were stratified by district, slum, and non-slum residency, sex, and age group. Blood samples were tested for IgG against three different SARS-CoV-2 antigens. Seroprevalence was estimated after applying sample weights and adjusting for cluster characteristics. In March 2021, this study collected 4,919 respondents. The weighted estimate of seroprevalence was 44.5% (95% CI = 42.5-46.5). Seroprevalence was highest among adults aged 30-49 years, with higher seroprevalence in women and the overweight/obese group. Respondents residing in slum areas were 1.3-fold more likely to be seropositive than non-slum residents. It was estimated that4,717,000 of Jakarta's 10.6 million residents had prior SARS-CoV-2 infection. This suggests that approximately 10 infections were undiagnosed/underreported for every reported case. About one year after the first COVID-19 case was confirmed, close to half of Jakarta's residents have been infected by SARS-CoV-2.