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Academic year: 2023

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Course Module

Department of Agricultural Engineering Faculty of Agricultural Technology Universitas Brawijaya

Module name Experimental Design Module level Undergraduate program

Code TPE4124

Subtitle -

Courses -

Semester(s) 7

Person responsible for the module

Dr. Ir. Sandra Malin Sutan, MP

Lecturer 1. Prof. Ir. Sumardi Hadi Sumarlan, MS 2. Dr. Ir. Sandra Malin Sutan, MP Language Bahasa Indonesia, English

Relation to curriculum Compulsory/elective Type of teaching,

contact hours

Contact hours and class size separately for each teaching method:

lecture, lesson, practical, project, seminar etc.

Workload 136 hours/semester

Lecture, Exercise, and private study Credit points 3 SKS / 5 ECTS

Requirements according to the examination regulations

-

Recommended prerequisites

- Module

objectives/intended learning outcomes

ILO – 5 : An ability to identify, formulating, analysing and solving problems in the field of agricultural engineering through systems approach

ILO – 6: An ability to conduct research, explore, develop and apply science and technology in the field of agricultural engineering science

Objectives

Knowledge: experimental design and recall data collection techniques, how to present and the basics of hypothesis testing

Skills: cognitive – make experimental layouts, compile liner models and analysis tables of variance in a completely randomized design,

randomized block design and Latin square design

Phsycomotoric - perform data analysis of experimental design that includes variables

Competences: Student able to calculate different tests and interpret research data

Content Courses :

1. Material scope, lecture method, statistical review.

2. Formation of mathematical models in experimental design 3. Environmental Design: RAL. RACK. And RBSL

4. Treatment Design: Two-factor factorial and three or more factors

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5 Variety Analysis (ANCOVA)

6. Further test and interpretation of data

7.Missing data / missing data, data transformation 8 Liner regression

9. Application of statistical software (software) in experimental design Study and examination

requirements and forms of examination

1. Midterm exam 2. Final term exam 3. Assignment 4. Group assignment How to score:

Midterm Exam(1-5) = 25%

Final Exam (1-4) = 30%

Assignment = 45%

A : 80 < Final Score ≤ 100 B+ : 75 < Final Score ≤ 80 B : 69 < Final Score ≤ 75 C+ : 60 < Final Score ≤ 69 C : 55 < Final Score ≤ 60 D : 50 < Final Score ≤ 55 D+ : 44 < Final Score ≤ 50 E : 0 < Final Score ≤ 44

Media employed Class, Online learning system (Zoom and Google Classroom)

Reading list 1. Gaspersz, Vincent. 1991. Metode Perancangan Percobaan untuk Ilmu-Ilmu Pertanian, Ilmu-Ilmu Teknik,

dan Biologi. Bandung : Armico

2. Gomez, K.A. and Gomez, A.A. 1976. Statistical Procedures for Agriculturel Research with Emphasis on Rice. IRR. Laguna.

Philippines

3. Mattjik, Ahmad Ansori., Sumertajaya I Made. 2002. Perancangan Percobaan dengan Aplikasi SAS dan Minitab,

Jilid I, EdisiKedua. Bogor : IPB Press

4. Seltman, H.J. 2018. Experimental Design and Analysis

Steel. R. G. D dan Torrie. J. H., 1976. Introduction to statistics.

McGraw-Hill Book Co., New York

5. Hidayat, T dan Istiadah, N . 2011. Panduan Lengkap SPSS 19 untuk mengolah data statistik penelitian. Jakarta Mediakita

6. Getut Pramesti . 2011. Aplikasi SPSS dalam Penelitian. Elex Media Komputindo.

7. Iriawan, N dan Astuti, S.P.2006. Mengolah Data Statistik dengan Mudah Menggunakan Minitab 14. Penerbit Andi

Referensi

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