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Analytical IS-Sesi 1 sd 4

Total questions: 15

Worksheet time: 5mins

Name
Class
Date
1.

Bidang ilmu komputer yang bertujuan untuk menciptakan mesin atau program komputer yang memiliki kemampuan untuk melakukan tugas-tugas yang memerlukan kecerdasan manusia, merupan pengertian dari

a)

Database

b)

Artificial Intelligence (AI)

c)

Sistem Informasi

d)

Computer Science

2.

The four-step managerial process, except

a)

Define the problem

b)

Construct a model

c)

Identify and evaluate possible solutions

d)

Deploy and Testing

3.

Simon’s Decision Making Process, except

a)

Intelligence

b)

Testing

c)

Design

d)

Choice

4.

Three types of analytics, except

a)

Descriptive analytics

b)

Predictive analytics

c)

Business analytics

d)

Prescriptive analytics

5.

What is happening is one of Business Analytics Type, this is the definition of

a)

Descriptive analytics

b)

Predictive analytics

c)

Prescriptive Analytics

d)

Forecasting Analytics

6.

The major benefits of AI, except

a)

Reduction in the cost of performing work

b)

Work can be performed much faster

c)

Work is more consistent than human work

d)

Increase Privacy

7.

Drivers of AI, except

a)

Distributed Database

b)

The desire of large tech companies

c)

The pressure on management to increase productivity

d)

The low cost of A I applications

8.

Benefits of AI, except

a)

The consistency of the work

b)

AI has the ability to complete certain tasks much faster

c)

AI machines do not stop to rest or sleep

d)

The availability of quality data

9.

Graphical presentation of several performance indicators in a single page using dials/gauges, it's definition of :

a)

Dashboard-Type Reports

b)

Metric Management Reports

c)

Balanced Scorecard–Type Reports

d)

Tabular Reports

10.

Method of Data Mining, except

a)

Association

b)

Clustering

c)

Simulation

d)

Estimation

11.

Method of Data Mining with unsupervised learning

a)

Estimation

b)

Forecasting

c)

Clustering

d)

Classification

12.

Method of Data Mining with supervised learning

a)

Prediction

b)

Clustering

c)

Association

d)

Gamification

13.

Data Mining Process, except

a)

CRISP-DM (Cross-Industry Standard Process for Data Mining)

b)

BPM (Business Process Modeling)

c)

SEMMA (Sample, Explore, Modify, Model, and Assess)

d)

KDD (Knowledge Discovery in Databases)

14.

Metoda Data Mining yang paling populer adalah

a)

Estimation

b)

Prediction

c)

Classification

d)

Clustering

15.

Salah satu algoritma Classification yang paling sering digunakan adalah

a)

Linear Regression

b)

Decision Tree

c)

FP-Growth

d)

K-Means