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Abstrak :
Skripsi ini membahas gambaran, hubungan dan model prediksi berat lahir bayi berdasarkan pertambahan berat badan ibu selama hamil, umur, pendidikan, pekerjaan, Ante Natal Care ( ANC ), jarak kelahiran dan berat badan sebelum kehamilan. Penelitian ini adalah penelitian kuantitatif dengan desain penelitian kohort retrospektif menggunakan data sekunder 2010-2011 dengan 180 sampel. Analisa data meliputi analisa univariat,bivariat, dilanjutkan analisa multivariat. Hasil penelitian menunjukkan pertambahan berat badan ibu selama hamil mempunyai pengaruh paling besar terhadap berat lahir bayi dikontrol variabel umur ibu, pendidikan, pekerjaan, ANC, jarak kehamilan dan berat badan sebelum hamil. Berdasarkan hasil analisis disarankan memantau pertambahan berat badan selama hamil sehingga dapat meningkatkan berat lahir bayi.

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The focus of this study discusses the image, influence and make infants birth weight prediction models based on maternal weight gain during pregnancy with birth weight infants. In addition to birth weight also affected by age, education, occupation, Ante Natal Care(ANC),a distance of pregnancy,and weight before pregnancy. The research design was a retrospective cohort study using secondary data from 2010-2011 with 180 samples in Puskesmas Wonosari, Klaten, Central Java. Data analysis comprised univariate, bivariate and most recsently by multivariate analysis. The results showed maternal weight gain during pregnancy has the greatest impact on birth weight after controlling by maternal age, education, occupation, frequency of ANC, spacing pregnancies and weight before pregnancy. Based on the results was advised to Puskesmas Wonosari II to health professionals especially midwife to gain capability of monitoring the weight gain during pregnancy, there by increasing infant birth weight.

Abstrak :
Berat lahir bayi kurang dari 3.000 gram berisiko untuk terjadinya penyakit jantung dan stroke serta kematian yang tiga belas persen lebih tinggi daripada berat lahir lebih dari 3000 gram. Tujuan penelitian ini yaitu untuk mendapatkan model prediksi berat lahir dan mengetahui faktor yang paling berpengaruh terhadap berat lahir bayi. Desain penelitian menggunakan cohort retrospektif. Sampel melibatkan 233 ibu hamil beserta bayi yang melakukan pemeriksaan antenatal care dan melahirkan di Rumah Sakit Citra Medika dan bidan bersalin Hj. Sumartini dari bulan Januari 2010 sampai Desember 2011 di Rantauprapat. Data dikumpulkan dari data rekam medis dan kelahiran pasien. Analisis korelasi dan regresi linier ganda digunakan untuk mengetahui kekuatan dan arah hubungan antara variabel independen dengan berat lahir. Hasil penelitian menemukan rata-rata berat lahir 3.337,8 ± 353,7 gram (95% CI= 3.292 ? 3.383). Berat badan (BB) sebelum hamil, pertambahan berat badan ibu trimester pertama, kedua, dan ketiga mempunyai kekuatan hubungan yang sedang dan berpola positif. Model prediksi menunjukkan bahwa berat lahir = 1.764,133 + 0,023 (BB pra hamil) + 0,131 (pertambahan berat badan trimester 1) + 0,037 (pertambahan berat badan trimester 2) + 0,037 (pertambahan berat badan trimester 3). Variabel yang paling berpengaruh adalah pertambahan berat badan trimester pertama.

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Birth weight less 3,000 gram have more risk to cause heart and stroke disease, 13% higher than birth weight < 3,000 gram. This study described about the correlation between pre-pregnancy weight, first trimester weight gain, second trimester weight gain, third trimester weight gain with birth weight. This study aimed to predict birth weight and find out the factors that most influence on birth weight. This study used a retrospective cohort design. Samples were 233 pregnant women and infants who perform antenatal care and deliver in Citra Medika Hospital and midwife maternity from January 2010 to December 2011. The data were collected through patient medical record and birth data. Correlation analysis and multiple linear regression were used to determine the strength and the relationship direction between independent variables and birth weight. The results revealed the averages of birth weight in the hospital and maternity midwife are 3,337.8 ± 353.72 grams (95% CI: 3,292 ? 3,383). Prepregnancy weight, maternal weight gain in first, second, and third semester have a moderate power relationship and positive pattern. The prediction model of birth weight = 1,764.133 + 0.023 (pre-pregnancy weight) + 0.131 (first semester weight gain) + 0.037 (second semester weight gain) + 0.037 (third semester weight gain). The most variable effect is a first semester weight gain.