Ramdan, BayuMuhamad (2014) Analisis Regresi Deming Pada Peubah Prediktor Yang Memuatkesalahan Pengukuran. Sarjana thesis, Universitas Brawijaya.
Abstract
Pada Model Regresi Linier Klasik, Peubah Prediktor Diasumsikan Bersifat Tetap (Tidak Memiliki Sebaran) Sehingga Tidak Ada Kesalahan Pengukuran Dan Peubah Respon Diasumsikan Mengikuti Sebaran Normal. Bila Peubah Prediktor Memuat Kesalahan Pengukuran (Memiliki Nilai Sisaan) Maka Model Regresi Linier Sederhana Tidak Tepat Digunakan.Untuk Mengatasi Hal Ini, Maka Digunakan Analisis Regresi Deming Sebagai Alternatif Dalam Menyelesaikan Masalah Tersebut.Penelitian Ini Dilakukan Terhadap Tiga Kasus Data Yaitu Antimikroba, Insektisida Dan Tekanan Darah.Pada Setiap Kasus Terdapat Dua Penelitian Yaitu Penelitian Lama (A) Dan Penelitian Baru (B).Peubah Prediktor Diperoleh Dari Hasil Penelitiana Dan Peubah Respon Dari Hasil Penelitian B Di Mana Masing-Masing Penelitianpada Setiap Kasus Menghasilkan Nilai Sisaan Dan Mengikuti Sebaran Normal. Berdasarkan Model Yang Terbentuk Pada Hasil Analisis Regresi Deming, Disimpulkan Bahwa Kasus Antimikroba Dan Tekanan Darah Memiliki Efek Fungsi Yang Sama Besar Di Dalam Mengukur Kematian Bakteri Serta Alat Deteksi Tekanan Darah. Kasus Insektisida Memiliki Efek Fungsi Yang Berbeda Antar Ekstrak Penelitian, Di Mana Ekstrak Daun Salamlebih Ampuh Membunuh Lalat Dibandingkan Ekstrak Jeruk Nipis
English Abstract
In The Classical Linear Regression Model, Predictor Variables Are Assumed To Be Fixed (No Distribution) So That There Is No Measurement Error And Response Variable Is Assumed To Be Normally Distributed. When The Predictor Variable Has Measurement Error (Residual Value), Then The Simple Linear Regression Model Is Not Appropriate To Use.The Deming Regression Analysis Is Used As An Alternative Problem Solver. This Research Was Conducted In Three Cases About Antimicrobial, Insecticidal And Blood Pressure. In Each Case, There Are Two Research Studies That Is An Old (A) And New Research (B). Predictor Variables Obtained From The Study Of The Response Variables A And B Which Each Case Of The Study Research Yield Residual And Normally Distributed. Based On The Results Of Deming Regression Analysis, It Was Concluded That The Case Of Antimicrobial And Blood Pressure Has Similar Function Effects To Measure Bacterial Death And Blood Pressure Detection Devices. The Case Of Insecticides Have Different Effects Between The Extract Function Studies, Which Syzygium Polyanthum extract More Effective To Kill Flies Than Lemon Extract
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/MIPA/2014/1/051400388 |
| Subjects: | 500 Natural sciences and mathematics > 519 Probabilities and applied mathematics > 519.5 Statistical mathematics |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Statistika |
| Depositing User: | Budi Wahyono Wahyono |
| Date Deposited: | 03 Feb 2014 08:38 |
| Last Modified: | 25 Oct 2021 02:40 |
| URI: | http://repository.ub.ac.id/id/eprint/153715 |
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