PENTINGNYA UJI ASUMSI KLASIK PADA ANALISIS REGRESI LINIER BERGANDA (STUDI KASUS PENYUSUNAN PERSAMAAN ALLOMETRIK KENARI MUDA [CANARIUM INDICUM L.])
Abstract
Generally, in the preparation of multiple linear regression or allometric equations, the T and F tests were carried out directly, while various tests are not performed. Therefore, this study aims to provide examples of establishing a good and complete regression equation by presenting a case study of preparing young canary allometric equations. Furthermore, Canary (Canarium Indicum L) was selected because it provides environmental services, especially in handling climate change, which has not been much studied. This article also attempts to establish the allometric equations of young canaries to be used in dealing with climate change. The results obtained by the allometric equation Y = -941,765 + 399,903 X1 + 3,429 X2, showed that it was good because it has undergone several tests, but cannot be operationalized due to the low determinant value of RSquare: 0.318. In order for allometric equations to work and function properly, it is necessary to perform various tests first and once the regression equation is obtained, it should be supported by a high RSquare value
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References
K. Mudrajad, Metode Kuantitatif (Teori dan Aplikasi untuk Bisnis dan Ekonomi). Edisi Pertama, Yogyakarta: UPP AMP YKPN, 2001
F.M.TH. Pavelescu, “Features of the ordinary least square (OLS) method implications for the estimation methodology,â€Romanian journal of economic forecasting, vol1, no. 2, pp.85-101, January 2004
M. Masruroh dan R. Subekti, “Aplikasi regresi partial least square untuk analisis hubungan faktor-faktor yang mempengaruhi indeks pembangunan manusia di Kota Yogyakarta,†Media Statistika vol 9 no.2, pp. 75-84, Desember 2016
E. R.Walpole, Probability and Statistics for Enginenereer Scientists. 8 edition. New Jersey: Prentice Hall, 2006
H. Iswati, R. Syahni dan Maiyastri, “Perbandingan penduga ordinary least square (OLS) dan generalized least squares (GLS) pada model regresi linier dengan regresor bersifat stokastik dan galat model berautokorelasi,†Jurnal Matematika UNAND vol.3 no.4, pp. 168-176, 2014.
N. H. Ravindranath and M. Ostwald. Carbon Inventory Methods: Handbook for Greenhouse Gas Inventory. Carbon Mitigation and Round Wood Production Projects. Springer Science. Delft. Advance in Global Change Research. Springer, 2008
B. R. Parresol, “Assessing tree and stand biomass: A review with examples and critical comparisons,†For. Sci. vol. 45 no. 4, pp. 573-593, November 1999.
G. O.Widharnato, “Biomass equation for 1-7 years-old Acacia mangium Willd. in West Kalimantan, Indonesia (Case study in plantation forest PT. Finnantara Intiga),â€in Proc. International Seminar. Research on plantation forest management: challenges and opportunities., pp. 187-193, Nov. 5-6, 2009.
L. A.J.Thomson and B. Evans, “Canarium indicum var. indicum and C. harveyi (canarium nut)â€, 2004, [Online] Tersedia: http://www.traditionaltree.org. [Diakses 17 Juni 2013].
Nelfiyanti, Potensi Cangkang Biji Kenari sebagai Briket Bahan Bakar Alternatif dan Analisa Aspek Keekonomian Proses Produksiâ€. [Thesis]. Universitas Gadjah Mada.2009.[Online].Tersedia: https://repository.ugm.ac.id/id/eprint/83988.[Diakses 6 April 2017].
D.H. Lorence, “Canarium indicum. National Tropical Botanical Garden,†2016, [Online]. Tersedia: http://ntbg.org/ plants/plant_details.php?plantid=11906 . [Diakses 4 Juli 2016].
M.J. Pattinama, A.Boreel, J.K.J.Laisina and H.E.P.Leimena, “The Ethnobotany of kenari (Canarium indicum L) and salak (Salacca zalacca var Amboinensis) Commodities.†2016 [Online]. Tersedia: http://maxmjpattinama.unpatti.org/2014/06/the-ethnobotany-of-kenari-canarium-indicum-l-and-salak-salacca-zalacca-var-amboinensis-commodities-to-strengthen-the-bargaining-position-of-the-economy-as-well-as-efforts-to-enhance-the-food-secur/[Diakses: 5Agustus 2016]
H.D. Hai, “ The Worldwide fruits. Family Bureraceae, genus Canarium, “2017, [Online].Tersedia: https://www. worldwidefruits.com/genus-canarium.html. [Diakses 1 Januari 2019]
N. Masyitah, S.A. Sumiwi dan G. Wilar, “Khasiat kacang kenari (Canarium indicum L.) terhadap berbagai macam penyakitâ€, Farmaka, vol 16 no 3, pp 10-15, September2018.
I. Ghozali, Aplikasi Analisis Multivariat Dengan Program IBM SPSS 23, Cetakan kedelapan, Semarang: Badan Penerbit Universitas Diponegoro, 2016,
S. Santoso, Menguasai SPSS 21 di Era Informasi. Jakarta: PT.ELEK Media Komputindo, 2013
C.Trihendradi, Langkah Mudah Menguasai Analisis Statistik Menggunakan SPSS 21, Yogyakarta: ANDI, 2013.
IBM, IBM SPSS Statistics 21 Brief Guide. 2012 [Online]. Tersedia: http:// www.sussex.ac.uk/its/pdfs/SPSS Brief_Guide_21.pdf, [Diakses 9 Agustus 2013].
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