Penggunaan Metode Inverse Regression dalam Memprediksi Jumlah Ternak Puyuh Berdasarkan Keuntungan Hasil Produksi Peternakan Laura

Miftahul Hayati - Mathematics Department Universitas Negeri Padang, Indonesia
Suherman Suherman - Mathematics Department Universitas Negeri Padang, Indonesia
Helma Helma - Mathematics Department Universitas Negeri Padang, Indonesia

Abstract


Abstract - Puyuh is a kind of livestock which is popularly known as one of some animal protein source. The farmer should be able to formulate a right way to gain profit from the production which is proper with the need. Thus, it is important to make a calculation to predict the number of the livestock which have to be farmed according to profit of the production by using Inverse Regression classical prediction method that it can be predicted the value of  gained from  response variable at the prediction model. This research is aimed to determine the model and interval of prediction to predict the number of puyuh which have to be farmed according to profit of the production. From the result of the Inverse Regression classical prediction method and interval of the prediction which is got can be interpreted that the quantity of production number which is needed depends on profit of the production and average of number of puyuh farming production.

 


Full Text:

PDF

References


Diwyanto, Kusuma.,dkk. 2005. Prospek dan Arah Pengembangan Komoditas Peternakan: Unggas, Sapi, dan Kambing-Domba. Bogor: Pusat Penelitian dan Perkembangan Peternakan. WARTAZOA: Vol. 15, No.1 [diakses pada tanggal 15 Januari 2018]

Prasetio, Bambang. 2010. 16 Peluang Usaha Top Bidang Perternakan. Yogyakarta: Lily Publisher.

Montgomery, D.C., Peck, E.A., dan Vining, G.G. 2006. Introduction to Linear Regression Analisys. New York: John Wiley and Son.

Quadratullah, M. F. 2013. Analisis Regresi Terapan: Teori, Contoh Kasus, dan Aplikasi dengan SPSS. Yogyakarta: Andi.

Jones, Geoffrey. Paul, Lyons. 2009. Approximate Graphical Methods for Inverse Regression. Journal of Data Science 7, 61-71. [diakses pada tanggal 15 November 2017]

Shein-Chung, Chow. Jun, Shao. 1990. On the Difference Between The Classical and Inverse Methods of Calibration. Appt Statist 39. No.2.pp, 219-228 [diakses pada tangal 8 November 2017]

Tellinghuisen, Joel. 2000. Inverse vs. classical calibration for small data sets. Fresenius J Anal Chem 368: 585-588. [diakses pada tanggal 15 November 2017]

]Makridakis, S., dkk. 1999. Metode dan Aplikasi Peramalan. (Ir. Hari Suminto. Terjemahan). Jakarta: Binarupa Aksara.




DOI: http://dx.doi.org/10.24036/unpjomath.v3i1.4664