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Jurnal Matematika Sains dan Teknologi
Published by Universitas Terbuka
ISSN : 14111934     EISSN : 24429147     DOI : -
Merupakan media informasi dan komunikasi para praktisi, peneliti, dan akademisi yang berkecimpung dan menaruh minat serta perhatian pada pengembangan Matematika, ilmu pengetahuan dan teknologi. Diterbitkan oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Terbuka.
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Articles 4 Documents
Search results for , issue " Vol 6 No 1 (2005)" : 4 Documents clear
Kajian Beberapa Uji Kenormalan dan Kaitannya dengan Asumsi Kenormalan pada Beberapa Uji Statistika Santoso, Agus
Jurnal Matematika Sains dan Teknologi Vol 6 No 1 (2005)
Publisher : LPPM Universitas Terbuka

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Abstract

T-test is proposed as a parametric test to evaluate mean of population(s).  Therefore, it is assumed that the data are normally distributed. Recently simulation based research reveal that t-test are robust against non-normality assumption, as long as the distribution of the data are symmetric. For that reason, it is interesting to evaluate the normality test that commonly used before the t-test is applied, particularly on its power and its suitability on symmetrical assumption of t-test on distribution of the data.  On this research, the evaluation on normality test was focused at several tests, which are Anderson Darling, Kolmogorov-Smirnov, Ryan-Joiner, and normality test based on skewness and kurtosis, wether the t-test was restricted in evaluation of mean of one population. The simulation reveals that, in general, Anderson-Darling has greater power than the other test in evaluating the normality of the distribution of the data, wether the normality test based on skewness and kurtosis have greater suitability on symmetrical assumption of t-test on distribution of the data. Hence, it is recommended that the normality test based on skewness and kurtosis are used to evaluate the symmetrical assumption of t-test on distribution of the data.
Tingkat Efisiensi Metode Regresi Robust dalam Menaksir Koefisien Garis Regresi Jika Ragam Galat Tidak Homogen Sugiarti, Harmi; Megawarni, Andi
Jurnal Matematika Sains dan Teknologi Vol 6 No 1 (2005)
Publisher : LPPM Universitas Terbuka

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Abstract

This paper aims to compare the relative efficiency of weighted least square (WLS), ordinary least square (OLS) and robust regression method in regression coefficient estimation when the error term is not homogen. The assumption of homegeneous error variance underlying the ordinary least square (OLS) is very important to get the best linear unbiased estimation of the regression coefficients. The investigation compares the methods in calculating efficiency of booth simulation and experimental data. In conclusion, the WLS method is relatively more efficient than OLS and Robust Regression methods.
Solusi Persamaan Schrödinger Osilator Harmonik dalam Ruang Momentum Pandiangan, Paken
Jurnal Matematika Sains dan Teknologi Vol 6 No 1 (2005)
Publisher : LPPM Universitas Terbuka

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Abstract

The solution of Schrödinger equation for the simple harmonic oscillator has been investigated and explored. The solutions are coordinate representation or momentum representation. The eigen energy is .  The expectation value is  respectively. Both Method will produce similar result.
Penentuan Ukuran Sumur Resapan Berdasarkan Luasan Rumah, Curah Hujan, dan Infiltrasi (Studi Kasus di Komplek Perumahan Reni Jaya, Pamulang, Tangerang, Banten) Susanto, Agus; Suhardianto, Anang
Jurnal Matematika Sains dan Teknologi Vol 6 No 1 (2005)
Publisher : LPPM Universitas Terbuka

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Abstract

All developers should consider continuity of water supply for the house dweller, as much rain water falling on the house yard will be lost as run-off water instead of filling the shallow ground water. Hence, there should be absorption wells to absorb the water falling from house roof. By so doing, it can increase ground water supply.  However, there should be an exact dimension of the absorption well, as the amount of the falling water from house roof depends on the roof width. The dimension of the well for each house can be measured based on roof width, rain fall, and soil capability to absorb water or infiltration capability. For unrennovated house, well diameter are 80 to  120 cm and its total depth are 60 to 160 cm. While for rennovated house, well diameter are 90 to 140 cm and total depth are 120 to 190 cm

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