STATISTICS
STUDY PROGRAM
Semester Teaching Plan
Version/Revision 2/1 Page 1/4
1.Course Identity
Course name (Nama mata kuliah)
Design of Experiment
Faculty (Fakultas)
Mathematics and Natural Sicence Study Program (Program Studi)
Statistics
Code (Kode)
SST-503 Credit poin Sks
(Bobot Sks)
3
Group (Grup)
Study Program Enrollment obligatory
(Sifat pengambilan)
mandatory
Semester(s) in which the course is taught (Semester)
V Availability
(Ketersediaan)
Only available on Statistics Study Program
Learning method (Bentuk pembelajaran)
blended learning/online learning* Media (Media)
Zoom, Google Classroom, and Video
Course category (Rumpun mata kuliah/blok)
university compulsory course/ SSP compulsory course/ practicum/
compulsory of scientific interest/
elective course*
Requirements (Prasyarat)
Students have taken Statistical Method II
Lecture
(Dosen pengampu)
Mujiati Dwi Kartikasari, M.Sc.
Arum Handini Primandari, M.Sc.
Semester/
Academic year (Semester/ Tahun Akademik)
Odd Semester 2020/2021
*) cross the unnecessary ones
2a. PROGRAM LEARNING OUTCOME (CAPAIAN PEMBELAJARAN LULUSAN)
LO Code (Kode CPL) LO Description (Rumusan CPL)
KKa (Technique) Designing experiments and collecting data through surveys, experiments, or simulations.
Organizing and analyzing these data using statistical techniques and extracting valid conclusions by utilizing at least one type of statistical software
2b. COURSE OUTCOME (CAPAIAN PEMBELAJARAN MATA KULIAH)
Suppor ted PLO Code (Kode CPL yang didu- kung)
CO Code (Kode CPMK )
CO Descriptions and Indicators (Rumusan CPMK dan Indikator)
Learning Experience
(Pengalaman Pembelajaran)
Assessment
(Asesmen/penilaian)
Weig ht (Bo- bot)
KKa (Techni que)
KKa1 Students have the ability to explain the basic concepts of statistics for the design of experiment
- Students are able to explain the basic concepts of experimental design - Students are able to explain
the basic concepts of statistics in experimental design
Quiz, Midterm Exam 10%
KKa2 Students have the ability to define the concept of one-factor, two-factor, n-factor design of experiment
- Students are able to explain the basic concept of a one- factor experiment
- Students are able to explain the basic concepts of two- factor experiments
- Students are able to explain the basic concepts of multiple comparison analysis
Assignment 30%
KKa3 Students have the ability to test the hypotheses regarding some design of experiments’ problems
- Students are able to test hypotheses in one-factor experimental problems - Students are able to test
hypotheses in two-factor experimental problems
Midterm Exam, Final Exam 30%
KKa4 Students have the ability to draw and communicate the conclusion based on hypotheses
testing
- Students are able to provide conclusions based on the one- factor experimental hypothesis - Students are able to provide
conclusions based on two- factor experimental hypotheses
Midterm Exam, Final Exam 30%
3. Program Learning Outcome Analysis Map (Peta Analisis Capaian Pembelajaran)
4. Reference (Referensi)
1. Montgomery, Douglas C. 2001. Design and Analysis of Experiments Fifth Edition. John Wiley and Sons, New York.
2. Mattjik, Ahmad Ansori dan Sumertajaya, I Made. 2006. Perancangan Percobaan dengan APlikasi SAS dan Minitab Jilid I. IPB Press, Bogor.
5. Detail of Learning Activities (Rincian Aktivitas Pembelajaran)
Sessio n (sesi)
LOC/Sub- LOC/Criterio
n (CPMK/Sub-
CPMK/
Kriteria)
Study Material
(Bahan Kajian)
Activity Design and Duration
(Rancangan Aktivitas dan Durasi) Mode
Learning Media/
Reference (Media Pembelajaran/
Referensi)
1 KKa1 Introduction
to
Students are able to understand the meaning of experimental design
FFO 1, 2
experimental design 22 KKa1
Basic concept of
experimental design
Students are able to explain the basic concept of experimental design
FFO 1, 2
3 KKa2, KKa3, KKa4
Completely Randomized Design
Students are able to solve problem using Completely Randomized Design
FFO 1, 2
4
KKa2, KKa3, KKa4
Multiple comparison test
Students are able to perform multiple comparison test FFO 1, 2
5
KKa2, KKa3, KKa4
Randomized Complete Block Design
Students are able to solve problem using Randomized Complete Block Design
FFO 1, 2
6 KKa2, KKa3, KKa4
Latin Square Design
Students are able to solve problem using Latin Square Design
FFO 1, 2
7
KKa2, KKa3, KKa4
Graeco-Latin Square Design
Students are able to solve problem using Graeco-Latin Square Design
FFO 1, 2
8 Midterm Exam
9
KKa2, KKa3, KKa4
Randomized Incomplete Block Design
Students are able to solve problem using Randomized Incomplete Block Design
FFO 1, 2
10
KKa2, KKa3, KKa4
Two Factor Factorial Design with Completely Randomized Design
Students are able to solve problem using Two Factor Factorial Design with Completely Randomized Design
FFO 1, 2
11
KKa2, KKa3, KKa4
Two Factor Factorial Design with Randomized Complete Block Design
Students are able to solve problem using Two Factor Factorial Design with Randomized Complete Block Design
FFO 1, 2
12
KKa2, KKa3, KKa4
General Factorial Design
Studenst are able to perform generalization of factorial design
FFO 1, 2
13 KKa2, KKa3, KKa4
Split plot design
Students are able to solve problem using Split Plot Design
FFO 1, 2
14 KKa2, KKa3, KKa4
2k design Students are able to solve problem using 2k Design FFO 1, 2
15
KKa1 Rules
expected mean square
Studenst are able to perform rules expected mean square
FFO 1, 2
16 Final Exam
Information:
For mode, enter one of the following codes
• FF = activities that require face-to-face meetings in class (aktivitas yang memerlukan tatap muka (TM) langsung di kelas);
• FFO = activities that require face to face online (aktivitas yang memerlukan tatap muka secara daring (tatap maya/TMD));
• SAA = standalone asynchronous online activity (aktivitas daring asinkron mandiri/ASM);
• CAA = collaborative asynchronous online activities (aktivitas daring asinkron kolaborasi/ASK);
Learning / reference media can be in the form of (1) self-produced results, (2) curated results: media sourced from the internet or other sources chosen by the lecturer, and / or (3) students' own exploration results.
6. Assessment and Evaluation System (Sistem Penilaian dan Evaluasi)
Assessment System (Sistem Penilaian)
Benchmark Reference Assessment = PAP (Penilaian Acuan Patokan)
Evaluation System (Sistem Evaluasi)
Each student must achieve a minimum grade / predicate of C for each CLO. If it has not fulfilled it, then the student is obliged to take an examination / remedial assignment for the related CLO.
Date: Date: Date:
Validated by (Disyahkan oleh)
Examined by (Diperiksa oleh)
Prepared by (Disiapkan oleh)
Head of SSP-UII Dr. Edy Widodo, M.Si.
Scientific Interest Coordinator Achmad Fauzan, S.Pd., M.Si.
Lecture
Mujiati Dwi Kartikasari, M.Sc.
