Course unit titles

Business Forecasting

Course unit code

MNU206

Type of course unit (compulsory, optional)

compulsory

Level of course units (according to

EQF: first cycle Bachelor, second cycle Master)

The first cycle of Bachelor Degree Program

Year of study when the course unit is delivered

(if applicable)

2020 - 2021

Semester/trimester when the course unit is delivered

The 4th Semester of Bachelor Study

Number of ECTS credits allocated

4.8 Credits

Name of lecturer(s)

  1. Rahmat Heru Setianto, SE, M.Sc.
  2. Prof. Dr. Tanti Handriana, SE, M.Sc.
  3. Dr. Gancar Candra Premananto, SE, M.Sc.
  4. Chorry Sulistyowati, SE, M.Sc.

Learning outcomes of the course unit

After completing this course, the students are expected to be able to apply appropriate methods to forecast the future business conditions as a material for planning and decision making.

Mode of delivery (face-to-face, distance learning)

Face-to-face and distance learning (using Great UNAIR platform)

Prerequisites and co-requisites (if applicable)

-

Course content

Business Forecasting Learning discusses:

1. Introduction to Business Forecasting and its importance

2. Review of prerequisite materials (Business Statistics)

3. Qualitative Methods

4. Forecasting Process, Data and Model

5. Forecasting Evaluation Method

6. Naive Methods

7. Average Method

8. Exponential Smoothing Methods

9. Forecasting with Regression

10. Time Series Decomposition

11. ARIMA

12. Method Combination

Recommended or required

reading and other learning resources/tools

Belch, G. and Belch, M (2009). Advertising and Promotion: an Integrated Marketing Communication Perspectives, International edition, McGraw-Hill.

Planned learning activities and teaching methods

The course is started with a classical lecture to provide the students the Definition of

methods whilst at the same time, the students will be exposed to the conditions of the use of the methods and how to analyze them. Then, the class will be followed by a practical activity of using Microsoft Excel program. The practice is carried out jointly by team members and from the results of the practice, several teams are then asked to present the results as well as create their interpretations. The results of the presentation are also discussed with other teams. In this course, the students are also given the task of collecting papers.

Language of instructions

Indonesian

Assessment methods and criteria

Midterm exam (40% is the result of the calculations from assignments; team practice; and presentations)

Final Exam (60%is the result of the calculations from assignments; team practice; and presentations)