This study aims to analyze the leading sectors in the economy in Eastern Aceh. The data analysis method used is Location Quotient (LQ) analysis and Shift Share analysis. Based on the calculation of LQ, it is known that the leading sector of East Aceh Regency is the mining sector and the LQ excavation from 2010-2016 with an average of 1,68 (LQ>1). This is because the availability of mineral content in East Aceh Regency increases the regional economy. The leading sector of Langsa City is health services and social activities with an average LQ since 2010-2016 of 2,10 (LQ>1). The leading sector of Aceh Tamiang Regency is the mining sector and excavation with an average LQ from 2010-2016 of 1,77 (LQ>1). Based on the shift share analysis, it is explained that the highest sector providing an increase in Aceh's GDRP was in the agriculture, forestry and fisheries sectors, and it was in the East Aceh District and Aceh Tamiang District, while Langsa City was not included. The sector that contributes to the increase in Aceh's GDRP, in Langsa City the sector that provides the highest increase in Aceh's GDRP is the sector of large and retail trade, car and motorcycle repair.

AbstrakBerat 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,. 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. Kata kunci: Berat badan sebelum hamil, berat lahir, pertambahan berat badan trimester Abstract 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.