Judul: Analisis Regresi Menggunakan Metode Kuantil
Abstrak: Regression analysis is applied to analyze relation between response variable with one or more predictor variable, especially to construct a model that has not been known. In order to estimate the regression parameters, certain estimation method of regression coefficients are carried out. In this paper quantile regression method is applied to asymmetric data. This method divides data into two or more groups, where existence of different estimated values at different quantiles are suspected. In this regression analysis, the regression coefficients are estimated using quantiles regression approximation properties, i.e. weighted least square approximation with all predictor variables included and the suites approximation with partial regression decomposition for certain predictor variables. Quantile regression approximation property explains that the quantile regression coefficient vector can minimize the expected value of weighted mean square error, which will give the best fit. The quantile regression with suites approximation is used to omit predictor variables which do not have influence to the model. The approximation properties of quantile regression are illustrated with the salary data from the U.S. census at 1980, 1990, and 2000. Key word: quantiles regression, asymmetric data, weighted least square, partial regression.
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Judul: Perbandingan metode regresi kuadrat terkecil dengan metode kekar
Abstrak: Ordinary least squares method is generally used to estimate parameter of a linear model. However, ordinary least squares is vulnerable against outliers because this method treats every element of data with equal weight. To overcome this problem, several studies have been done to find methods that produce more robust estimator. The robust methods being studied in this paper are weighted least squares, least absolute deviations, least median squares, and least trimmed squares methods. The comparison among those methods indicates that the method of least absolute deviation and weighted least squares are more resistant in case of the presence of outliers in the dependent variable. Meanwhile, least median squares and least trimmed squares methods are resistant to the presence of outliers both in the dependent and independent variable.
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Judul: Pengelolaan Panen dan Pascapanen Bunga Lily Potong (Lilium longiflorum ‘LA Hybrid’) di Perusahaan Daily Sunshine, Heerhugowaard, Belanda Utara.
Abstrak: Kegiatan magang dilaksanakan di perusahaan penghasil bunga potong Daily Sunshine mulai 26 Februari sampai dengan 25 Mei 2018. Kegiatan magang bertujuan untuk meningkatkan kemampuan, pengetahuan dan keterampilan dalam aspek budi daya bunga potong Lilium longiflorum secara umum dan secara khusus untuk mempelajari proses pengelolaan panen dan pascapanen yang terdapat di Perusahaan Daily Sunshine. Metode yang digunakan adalah metode langsung dan tidak langsung. Metode langsung dilaksanakan dengan melakukan pengamatan secara langsung di lapang serta mengikuti semua kegiatan teknis budi daya bunga lily mulai dari penanaman sampai dengan panen. Metode tidak langsung dilaksanakan dengan memperoleh dan mempelajari data sekunder berupa arsip perusahaan, laporan dari perusahaan dan studi pustaka. Budi daya serta pengelolaan panen dan pascapanen bunga Lilium longiflorum di perusahaan Daily Sunshine sudah dilakukan dengan baik. Hal tersebut ditunjukan dengan hasil total produksi optimum sebesar 92.18 % dengan 95.60 % produksi kelas mutu A1 dan telah memenuhi standar perusahaan pada beberapa parameter yang diamati yaitu kondisi lingkungan tumbuh, pertumbuhan tanaman, umur panen, produksi, kehilangan panen, stadia panen dan standar mutu panen. Distribusi pemasaran bunga potong di Perusahaan Daily Sunshine dilakukan melalui organisasi balai lelang tanaman hias di Belanda, yaitu Royal Flora Holland dan Plantion Ede
Keyword: bunga potong, kualitas panen, Royal Flora Holland, standar mutu panen