Mapping CO and PLO

(1)

MODULE PORTOFOLIO

ODD SEMESTER ACADEMIC YEAR 2020/2021

MODULE NAME : Geo Statistics I Lecture

MODULE CODE : SST-509

Achmad Fauzan,S.Pd.,M.Si

CLASS : 2018

SEMESTER : 5

DATE : January 15^th,2021

PROGRAM LEARNING OUTCOME AND COURSE

OUTCOME

:

PLO: (Science) Mastering several statistical methodologies (methods and models) to be used in solving problems in several fields.

CO: After completing this course, the students have the ability to:

CO 1. explain the concept of Spatial Data.

CO 2. explain the concept of Spatial Correlation.

CO 3. Review of linear regression concept

CO 4. explain the Spatial Autoregressive Model (SAR).

CO 5. explain the Spatial Error Model (SEM).

CO 6. explain Panel Data Regression.

Mapping CO and PLO

CO PLO

E N T H U S I A S T I C

CO1 √

CO2 √

CO3 √

CO4 √

CO5 √

CO6 √

LEARNING

STRATEGIES : This course was done with several strategies such as discussion, presentation, and group project.

ASSESSMENT :

The final mark will be weighted as follows

No Assessment components Assessment types Weight (percentage)

1 CO 1 Paperwork . 15%

2 CO 2 Midterm Exam 30%

3 CO 3 Paperwork 5%

4 CO 4 Essay Task 10%

5 CO 5 Essay Task 10%

6 CO 6 Final Task 30%

CALCULATION PROGRAM LEARNING OUTCOME

:

The calculation of CO and PLO for each student:

No NIM CO1 CO2 CO3 CO4 CO5 CO6 PO

1 18611011 90 90 38 38 78 78 77.4

2 18611033 90 90 30 30 86 86 79.4

3 18611060 90 90 88 88 95 95 91.7

4 18611082 90 90 75 75 93 93 88.95

5 18611097 90 90 88 88 92 92 90.5

6 18611099 90 90 85 85 93 93 90.45

7 18611106 90 90 73 73 76 76 81.85

8 18611108 90 90 75 75 72 72 80.55

(2)

9 18611111 90 90 75 75 83 83 84.95

10 18611123 90 90 63 63 83 83 83.15

11 18611132 90 90 75 75 60 60 75.75

12 18611133 90 90 66 66 80 80 82.4

13 18611156 90 90 44 44 70 70 75.1

Achievement of PLO in Design of Experiment course Academic Year 2020/2021 Design of

Experiment E N T H U S I A S T I C

CO 1 90

CO 2 90

CO 3 67.3

CO 4 67.3

CO 5 81.62

CO 6 81.62

Achievement

of PLO 83.24

LEARNING OUTCOME ANALYSIS

:

PLO Assessment Rubric (menyesuaiakan CPL masing-masing)

PLO Description Excellent Good Satisfy Fail

Scienc e

Mastering several statistical methodologies (methods and models) to be used in solving problems in several fields and able to apply logical, critical, systematic, and innovative thinking in the context of the development or

implementatio n of science and

technology that pays attention to and applies humanities values in accordance with their field of expertise.

Students can apply logical, critical, systematic, and innovative thinking in the context of the development or

technology with score at least 76.25

technology with score at least 65.00 and less than 76.25

technology with score at least 55.00 and less than 76.25

technology with score less than 55.00.

(3)

Achievement number of PLO

Number of students Percentage (%)

Excellent 11 84.62

Good 2 15.38

Satisfy 0 0.00

Fail 0 0.00

Total 44 100.00

STUDENT’S LEARNING PERFORMANCE ANALYSIS

:

From 13 students who follow this course, there are around 84.62% students fulfill the excellent criteria for the Technique PLO. No one consider as fail. However, it is still found that several students are in good categories. Students found difficulties in the basic concept of linear regression and Spatial Autoregressive Model (SAR). This difficulty is caused by abstraction of this concept.

RECOMMENDATI ON FOR FUTURE LEARNING

: There is recommendation for better course in the future that is motivate students to understand the basic concept of design of experiment, especially concept of linear regression.

RECOMMENDATI ON FOR

INSTITUTION

: Recommendation for institution is by giving more chance for lecturer to develop more online learning materials.

15.38%

84.62%

Achievement Percentage of PLO

Good Excellent