SLP

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UniversitasAirlangga

SEMESTER LEARNING PLAN Prepared by Checked by Approved by Document Register

Number

SLP

^PJMK ^KPS/KaDep Deputy Dean I

Dr. Suharsono,MS, Drh. . Prof. Dr. Fedik A. Rantam, Drh.

Date of Revision 20April 2017 Faculty of Veterinary

Medicine

Entered force in the

semester Even 2017

(tandatangan) (tandatangan) (tandatangan)

 SLP to be evaluated every year

EDUCATIONAL IDENTITY

1. The Name of the Course ADVANCED RESEARCH METHODOLOGY

2. Course code PNV 497

3. Load Study (sks) Two

4. Semester 5

5. Study Program Veterinary Medicine S-1 6. Achievement of Graduate

Learning

LO 6 : Implement developing entrepreneurship skills in the field of veterinary and husbandry to be independent

7. Learning Outcomes Courses Students are able to explain the principle of using statistics as a test tool in research Students are able to collect, process data.

Student is able to present and interpret data logically and systematically

8. Course Description The students learn about the test principles,statistical techniques, the types of statistical tests and the application of statistical tests according to the research objective

9. Prerequisites (if any) Integrated Research Methodology I (does not have to pass).

10. Lecture in charge Dr. Suharsono, drh., M. Si.

11. Lecture 1. Prof..Dr. H. Sarmanu, drh. M.S.

2. Dr.Kusnotoi, drh.,M.Si.

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B. LEARNING PROCESS

Week

Final Capabilities are expected at each stage of learning

(Sub-Learning Outcome CourseKuliah)

(C, A, P)

Study material (Subject and Sub- Subject)

Learning

methods Media Time

Student Learning Experience

Assessment Criteria and Indicators

Value Weight

(%)

Ref.

(no)

1 2 3 4 5 6 7 8 9 10

1.

Students can explain about the elements of design and diversity of experimental models

Preliminary:

Elements of Planning, Diversity, Models, Experiments,

Lecture and discussion -

- LCD 2 X 50mnt Arranging

experimental designs for research

the accuracy of designing experiments

10 2, 3, 4

2.

- 4 Students are able to test data more than two treatments and test data pairs if Ho is rejected

One-way Variable Analysis (Complete Random Design) Analysis of Two-Way Variations without Interaction

(Randomized Groups) - LSD

- HSD - Duncan - Corntras

- Contras ortogonal

Lecture and discussion and demonstration.

- LCD - Laptop/ std - SPSS

(3 X 2 X 50) mnt

Select the statistical tests according to the

objectives.

Installing and using SPSS,

The accuracy of the

selection of statistical tests.

The ability of students to use SPSS

20 2.3, 4

(3)

Week

(C, A, P)

Learning

methods Media Time

Value Weight

(%)

Ref.

(no)

1 2 3 4 5 6 7 8 9 10

5 - 7 Students are able to test data more than two treatments involving factors

- Latin Square - Complete

Random

- Factorial Design - Split Plot

Lecture and discussion and demonstration

3 X 2 X 50) mnt

Select the statistical tests

according to the

objectives and use to SPSS.

20 2, 3, 4

8 Midterm exam -

9 Students are able to explain Regression Analysis and correlation

- Product moment Analysis

- Pearson Correlation - Spearman

Corrlation

2 X 50mnt Select the statistical tests

according to the

objectives

The accuracy of the

10 3

10. Students are able to explain and application of non-parametric statistical

Introduction to Non Parametric Statistics

Lecture and discussion

- LCD 2 X 50mnt Select the

statistical tests

according to the

5 1.

(4)

Week

(C, A, P)

Learning

methods Media Time

Value Weight

(%)

Ref.

(no)

1 2 3 4 5 6 7 8 9 10

12 - 13 Students are able to explain nominal data analysis

Chi-square Test for:

- Single sample - Test the independence of tables 2 X 2 or more

- LCD - Laptop / std - SPSS

(2 X2 X 50) mnt

according to the

The accuracy of the

15 % 1

14- 15 Students are able to explain about data analysis that is comparing two populations or more pairs in pairs and free from each other on ordinal scale data.

Wilcoxon Test - Single sample - Paired samples - Mann Whitney - Kruskal Wallis - Friedman Test

- LCD - Laptop / std - SPSS

(3 X 2 X 50) mnt

according to the

20% 1.

16 Final exams -

- -

DAFTAR REERENSI

1. Daniel, W.W. 1989. Statistik Non Parametric Terapan (alihbahasa Tri Kantjono W). P.T. Gramedia. Jakarta.

2. Gary W. Oehlert, G, W. 2010. A First Course in Design and Analysis of Experiments. University of Minnesota 3. Kusriningrum. 2015. PerancanganPercobaan. Airlangga University Press.Surabaya.

4. Stell, R.G.G. danTorrie, J.H. 1987. Prinsipdanprosedurstatistikasuatupendekatan biometric (alihbahasaBambangSumantri). P.T. Gramedia. Jakarta.

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UniversitasAirlangga

SEMESTER LEARNING PLAN Prepared by Checked by Approved by Document Register

Number

RPS

^PJMK ^KPS/KaDep Deputy Dean I

Dr. Suharsono,MS, Drh. . Prof. Dr. Fedik A. Rantam, Drh.

Date of Revision 20April 2017 Faculty of Veterinary

Medicine

Entered force in the

semester Even 2017

(tandatangan) (tandatangan) (tandatangan)

TASK DESIGN

Courses Integrated Research Methodology II SKS : 2 sks

Semester Even Task : 1

Week 7and 14

1

TASK OBJECTIVE

Students can choose a variety of statistical tests that are in accordance with their research.

2

JOB DESCRIPTION

Object: Data analysis (students are allowed to see examples of analysis of research data, thesis in the library) Task :

Students make data generation (highly recommended this research simulation will later be continued in the preparation of scri pts Method

- Make data generated as if it came from research (preferably in accordance with the interests of the thesis)!

- process the data in accordance with the research plan (use SPSS)!

- Present the results of data analysis(both raw data and analysis results) and provide the title!

- Interpret in the form of research results

3.

Description of the output :

- Get printed data output (SPSS or Word form)!

- Collect the results of data analysis and interpretations in the form of results chapter sheets (format according to the thesis manual)

4

Assessment criteria:

- Attachment report (30%)

- Interpretation of research results (70%)

5.

Refference :

1. Kusriningrum. 2015. PerancanganPercobaan. Airlangga University Press.Surabaya.

2. Daniel, W.W. 1989. Statistik Non Parametric Terapan (alihbahasa Tri Kantjono W). P.T. Gramedia. Jakarta

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EDUCATION CONTRACT

INTEGRATED RESEARCH METHODOLOGY II UNDERGRADUATE VETERINARY MEDECINE 1. Courses

:

INTEGRATED RESEARCH METHODOLOGY II

2. Course code

:

^{PNV 621}

3. Study Load

:

^{2 SKS}

4. Semester

:

^Even

5. Study

Program

:

Undergarduate Veterinary Medicine

6. Precondition

:

Integreted Research Methodology I(don't have to pass) 7. Course

Description

: Student learns the principles, types of tests and statistical techniques, especially those that will be used when conducting research as part of a thesis

. 8. Lecturer in

charge of course

: Dr. Suharsono, drh. M.Si. (PJMA)

9. Lecturer : 1. Prof..Dr. H. Sarmanu, drh. M.S.

2. Dr.Kusnotoi, drh.,M.Si.

3. Dr. Moh. Anan Al Arif, drh.,M.Si.

4. Dr. Suharsono, drh. M.Si. (PJMA) 10 course

schedule

1. A Class 2. B

Class 3. C

Class 4. D

Class 5. E

Class

Monday

MondayWensdayThuesdayThuesday

1.⁰⁰ – 2.⁵⁰ PM 1.⁰⁰ – 2.⁵⁰ PM 07.⁰⁰ – 09.⁵⁰AM 1.00 – 2.⁵⁰ PM 1.00 – 2.⁵⁰ PM

3A 3B

SC (lantai 3) Pascasarjana (Lt 1)

Avian

11. Atributsoft skill

: Discipline, ethics / morals, accuracy of answers, critical thinking, and academic ability (delivery of ideas)

12. Achievement of Graduate Learning

Students know the techniques of collecting, analyzing and interpreting data in either research or survey data

13. Learning Outcomes Courses

: - Students can explain statistical principles as a research tool - Students are able to collect and process data

- Student is able to present and interpretion data logi 14. Sub Learning

Achievement

:

1.Students can explain the elements of experimental design (1)

2.Students can to explain Analysis of One-Way Variation or two-way with or without interaction (2, 3, 5, 7))

3. Students can explain multiple pairs test which is a continuation of parametric statistical tests, if the test rejects H0 (4)

4.Students can explain regression analysis - correlation (8).

5.Students can explain and choose non parametric statistics for both nominal and

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ordinal data (9, 10, 11, 12).

15. Usability of Courses

: Students know the collection techniques, and data analysis as intended

16. Course Strategy

: 1. Students are required to bring a laptop

2. Lecture material is delivered through discussion, discussion and simulation of research data.

17 Reference

:

1. Daniel, W.W. 1989. Statistik Non Parametric Terapan (alihbahasa Tri Kantjono W). P.T. Gramedia. Jakarta.

2. Gary W. Oehlert, G, W. 2010. A First Course in Design and Analysis of Experiments. University of Minnesota

3. Kusriningrum. 2015. PerancanganPercobaan. Airlangga University Press.Surabaya.

4.

Stell, R.G.G. danTorrie, J.H. 1987. Prinsipdanprosedurstatistikasuatupendekatan biometric (alihbahasaBambangSumantri). P.T. Gramedia

. Jakarta.

18. Tasks Tasks are carried out at the last meeting of the lecture (7th and 14th meetings Report form : descriptive data, analysis and interpretation are presented in the results chapter and

attachments

Methode 1. Build generation data as if coming from research.

2. the process of the data is in accordance with the research plan!

3. Present the results of complete data analysis with interpretation (both raw data and analysis results) in the sheet and give the title)!

Luaran 1. Print data output and analysis (SPSS or Word)!

2. Print the presentation of data along with interpretations in the form of results chapter sheets (format according to the guidebook)

19. Assessment Criteria

Each activity is rated between 0 to 100. The final value is the sum of the values of all activities with weighting

^{1. Soft}

skill 2. Task 3. ME 4. FE

(14,29 %) (28,57 %) (28,57 %) (28,57 %)

Furthermore, the amount of activity value is classified and converted according to the reference of the PAP assessment

Rangeof raw score Latter

Conversion

Quality Score

^{≥ 75}

70 – 74.9 65 – 69.9 60 – 64.9 55 – 59.9 40 – 54.9

< 40

A AB

B BC

C D E

4,0 3,5 3,0 2,5 2,0 1,0 0,0

20. Additional Information

1. Requirements to attend the UAS: the number of lecture attendance is 75%

minimum for new students and 50% for student make up.

2. The absence of lecture must be proven by a certificate

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LEARNING SCHEDULE

Study Program : Veterinary Medicine

Lecturer 1. Prof Sarmanu

2. Dr. Suharsono 3. Dr. Kusnoto

4. Dr. Moh. Anam Al Arief

Courses : Integreted Research Methodology 2 Course Schedule : Monday, 1.⁰⁰ PM– 2.50 PM

Class room : 3A,

Meeting to Date Chapter Material A

(Lecturer) I 5- 9 - 2016 Parametric

Statistics

Introduction – Design Experiments 2

2 12- 9- 2016 One-Way Variance Analysis 2

3 19- 9- 2016 Two-way variant analysis without interaction 2

4 26- 9- 2016 Multiple Comparison Test 2

5 3-10- 2016 Analysis of Latin Rectangular 2

6 10-10- 2016 Two-way analysis with interaction (Factorial Design) 2 7 17-10- 2016 Analysis of two-way variants with interaction (Split

Plot), )

2 UTS

9 7-11- 2016 Non

Parametric Statistic

Simple regression and correlation 3

10 14-11- 2016 Introduction to non parametric statistics 3

11 21-11- 2016 UjiKhiKuadratuntuksampeltunggal 3

12 28-11- 2016 Square Test for variable homogeneity and independence in table 2 X 2 or more

3

13, 5-12- 2016 Wilcoxon dan Mann Witney U 3

14 12-12- 2016 KruskalWalis 3

15 19-12- 2016 Uji Friedman

UAS

Surabaya, 1 September 2016 Validated by: :

PJMK Deputy Dean I

Dr. Suharsono 196104021988031002

Prof. Dr. Fedik A. Rantam, drh 195910031087011001

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LEARNING SCHEDULE Study Program : Veterinary Medicine

Course : Integreted Research Methodology 2 Course Schedule : Monday, 1.00 PM – 2.50 PM,

Class Rom : 3B.

Meeting to Date Chapter Material B

(Lecturer) I 5- 9- 2016 Parametric

Statistics

Introduction – DesignExperiments 1

6 10-10- 2016 Two-way analysis with interaction (Factorial Design) 3 7 17-10- 2016 Analysis of two-way variants with interaction (Split

Plot)

3

24-10 UTS

9 7-11- 2016 Simple regression and correlation 2

10 14-11- 2016 Non Parametric

Introduction to non parametric statistics 2

11 21-11- 2016 Statistic UjiKhiKuadratuntuksampeltunggal 2

1

13 5-12- 2016 Wilcoxon dan Mann Witney U 2

14 12-12- 2016 KruskalWalis 2

15 10-12- 2016 Uji Friedman 2

UAS

PJMK Deputy Dean I

Dr. Suharsono 196104021988031002

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Lecturer 1. Prof Sarmanu 2. Dr. Suharsono 3. Dr. Kusnoto

Course : Integreted Research Methodology 2 Course Schedule : Wensday 7.30 – 9.00

Class Rom : Pascasarjana,

Meeting to Date Chapter Material C

Lecturer 1 7- 9- 2016 Parametric

Statistics

5 5-10- 2016 Analysis of Latin Rectangular

6 12-10- 2016 Two-way analysis with interaction (Factorial Design)

7 19-10- 2016 Analysis of two-way variants with interaction (Split Plot))

24-10 UTS

11 23-11- 2016 Statistic Square Test for a single sample 1

1

13 7-12- 2016 Uji Wilcoxon dan Mann Witney U 1

14 14-12- 2016 UjiKruskalWalis 1

15 21 - 12- 2016 Uji Friedman 1

UAS

Surabaya, 1 September 2016 Validated by: :

PJMK Deputy Dean I

Dr. Suharsono 196104021988031002

(13)

Course : Integreted Research Methodology 2 Course Schedule : Monday, 1.00 PM – 2.50 PM Class Rom : 3A, Kelas Avian

Meeting to Date Chapter Material D

(Lecturer) I 5- 9- 2016 Parametric

Statistics

2 7 17-10- 2016 Analysis of two-way variants with interaction (Split

Plot), )

2

UTS

1

13, 5-12- 2016 Uji Wilcoxon dan Mann Witney U 2

15 18 -12- 2016 Uji Friedman 2

UAS

PJMK Deputy Dean I

Dr. Suharsono 196104021988031002

(14)

Course : Integreted Research Methodology 2 Course Schedule : Thuesday, 1.00 PM – 2.50 PM

Class Rom : SC,

Meeting to Date Chapter Material E

(Lecturer) 1 6- 9- 2016 Parametric

Statistics

3 7 18-10- 2016 Analysis of two-way variants with interaction (Split

Plot), )

3 UTS

1

13 6-12- 2016 Uji Wilcoxon dan Mann Witney U 3

15 19 -12- 2016 Uji Friedman

UAS

Surabaya, 1 September 2016 Validated by:

PJMK Deputy Dean I

Dr. Suharsono 196104021988031002

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