AbstrakTujuan penelitian ini adalah untuk mengetahui dan menjelaskan faktor-faktor yang mempengaruhi kesuburan (pendapatan keluarga, tingkat pendidikan istri, usia pernikahan pertama, dan penggunaan kontrasepsi) berpengaruh signifikan terhadap jumlah kesuburan di Desa Rapak Dalam. Penelitian ini menggunakan data primer yaitu data yang diperoleh langsung dari responden. Analisis data menggunakan regresi linier berganda dengan model variabel dummy dengan software SPSS (Statistical Program for Social Science) Versi 20. Hasil penelitian menunjukkan: (1) variabel pendapatan keluarga berpengaruh positif dan signifikan terhadap jumlah fertilitas di desa Rapak Dalam; (2)

A 6-week feeding trial was carried out to investigate the optimal calcium level in the diet of quail chicks in Nigeria. Four isonitrogenous (25% crude protein) diets containing 0.5, 1.0,1.5 and 2.0% dietary calcium were employed in the trial which involved 480) day-old, uncensored quail chicks. The diets were also isocaloric (2750 kcal/kg M. E). Each dietary treatment was replicated three times. Responses measured included weight gain, feed consumption and feed conversion ratio. Feed intake was higher in diet A (P<0.05) in comparison to others. Diet D recorded lower feed intake (P<0.05) than Diets B and C. Weight gain was similar (P>0.05) for Diets A, B and C which were better than diet D (P>0.05). Feed conversion was better with Diets C And D (P<0.05) than with diets A and B. Diet A was poorer (P<0.05) than diet B in terms of feed conversion. Feed cost/gain ratio was lower (P<0.05) on Diet A than others. Percent bone ash was similar on the diets except Diet C. Results of this study indicated that dietary calcium levels of between 0.5 and 1% will support acceptable weight gain and % bone ash in the first 6 weeks of life.

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The aims of this research are to know and explain the factors-factors that affect fertility (family income, wife education level, age of first marriage, and use of contraception) effect significantly to the amount of fertility in the Village of Rapak Dalam. This research used primary data i.e data obtained directly from the respondents. Data analysis using multiple linear regression with dummy variable model with SPSS software (Statistical Program for Social Science) Version 20. Research result showed: (1) family income influential variables are positive and significant against the amount of fertility in the village of Rapak Dalam; (2) wife education level variable is negative and significant effect against the amount of fertility  in the village of Rapak Dalam; (3) age of first marriage variable is negative and significant effect against the amount of fertility  in the village of Rapak Dalam; (4) use of contraception variable is negative and insignificant effect against the amount of fertility  in the village of Rapak DalamKeywords : family income, wife education level, age of first marriage, and use of contraception

AbstrakTujuan dari penelitian ini adalah untuk mengetahui pengaruh populasi, inflasi dan investasi pada tingkat pengangguran terbuka di Provinsi Kalimantan Timur. Metode atau alat analisis yang digunakan dalam penelitian ini adalah pendekatan analisis regresi berganda terhadap asumsi klasik yang diproses secara terperinci. Penelitian ini menggunakan data sekunder yang diperoleh dari Badan Pusat Statistik (BPS). Dari hasil analisis data yang saya lakukan dapat disimpulkan bahwa: (1) Populasi besar dapat menggerakkan pasar dalam hal permintaan melalui multiplier effect karena permintaan agregat tinggi.(2) Dari hasil pengamatan diketahui bahwa ada hubungan yang erat antara inflasi dan pengangguran. (3) Ukuran investasi yang terjadi di masyarakat akan sangat mempengaruhi ukuran lapangan kerja yang tercipta. Kata Kunci: Analisis Regresi; Populasi; Inflasi; Investasi; Pengangguran Factors Affecting Unemployment Rate in East Kalimantan Province AbstractThe purpose of this study was to determine the effect of population, inflation and investments in open unemployment in the province of East Kalimantan. The method or tool of analysis used in this research is multiple regression analysis approach to the classical assumptions are processed in a detailed explanation. This study uses secondary data obtained from the Central Statistics Agency (BPS). From the results of data analysis that I do can be concluded that: (1) Large population can move the market in terms of demand through the multiplier effect due to the aggregate demand is high. (2) From the results it is observed that there is a close relationship between inflation and unemployment. (3) The size of investments that occurred in the community will greatly affect the size of employment opportunities created.