Kunci Jawaban Uas Oracle AiML Artificial Intelligence with Machine Learning in Java Final Exam

1. Which of the following are exampes that use Machine Learning

In car Navigation

Credit Card fraud detection

Bank loan application

All of the options (*)

2. Which of the following is the best definition of Artifical Intelligence

Attempt to build machines capable of simulating intelligent human behaviour Attempt to build machines capable of simulating intelligent human behaviour (*)

The science of getting computers to act without being explicitly programmed

Attempt to build machines that look and act like humans

To build computers that are capable of beating all players at chess

3. What does data mean?

Data is information in context

It is the gathering of the figures or facts (*)

It is information that has been processed in a particular format

It is when figures have been processed via machine learning

4. Viewing a summary of all your credit card transactions on a Monday is an example of information?

True (*)

False

5. Information is data in context

True (*)

False

6. Is raw processing power a demonstration of AI?

True

False (*)

7. Rainfall recorded as low, medium, high is an example of

Classification (*)

Regression

8. Regression of data is when

Data can be any numeric value (*)

Data can only be a given discrete value for a list of choices

9. Data shown as a regression can be converted to a classification by grouping it in ranges?

True (*)

False

10. Rainfall recorded as 2,3,0,3,4 is an example of

Classification

Regression (*)

Both Classification and Regression

None of the other options

11. In a loan example "has job is"

(Choose all correct answers)

A label (*)

Dependent data

12. The CRISP model is iterative.

True (*)

False

13. Data Understanding is the first stage of the CRISP model.

True

False (*)

14. Using a methodology such as CRISP decreases the likelihood of random and false discoveries when analyzing data.

True (*)

False

15. As personal computers and devices become more powerful, then the cloud will become irrelevant.

True

False (*)

1. In the CRIP model we cannot move back to a previous stage.

True

False (*)

2. Which one of the following is a model for looking at data via Machine Learning?

CRISP-DM (*)

DM-CRISP

Waterfall Model

Spiral Model

3. Data Understanding is the first stage of the CRISP model.

True

False (*)

4. A 1985 Cray super computer is more powerful than an Apple iPhone 5.

True

False (*)

5. Supervised Learning is

Is when we know the structure of what we are looking for (*)

Is when we do not know the structure of what we are looking for

Is when we can put information in context

Is when we can put data in context

6. Data shown as a regression can be converted to a classification by grouping it in ranges?

True (*)

False

7. Rainfall recorded as 2,3,0,3,4 is an example of

Classification

Regression (*)

Both Classification and Regression

None of the other options

8. Training a program to find faces in a picture is an example of supervised learning

True (*)

False

9. You train your algorithm with test data then test it with training data

True

False (*)

10. Automatic recording of GPS on your phone is an example of data exhaust?

True (*)

False

11. Which of the following is not an example of Machine Learning

Internet Search

Stock trading predictions

Temperature gauge in a car (*)

All of the options

12. The Turing test is

A test on how fast a computer can think.

A test to see whether a computer can imitate a human (*)

A test to see whether a human can imitate a computer

A test to see if a human understands AI.

13. Information can be as simple as presenting data in a different format?

True (*)

False

14. Average results for a class in a quiz is an example of data?

True

False (*)

15. Information is data in context

True (*)

False

2. The single most important thing to know is what should be achieved by using Machine Learning.

True (*)

False

3. We can move onto the next stage of our model without fully knowing the business question we wish to answer.

True

False (*)

4. Can machine learning only be used against one type of task

True

False (*)

5. Which of the following uses machine learning?

Google Searches

Facebook Adds

Netflix Suggestions

All of the options (*)

7. Cloud computing is one of the reasons behind the growth in Machine Learning.

True (*)

False

12. You watch a baseball game without every having seen or read about it and you wish to classify the players based on certain criteria - team, pitcher, fielder etc. This is an example of unsupervised learning.

True (*)

False

13. Having no knowledge of a system that you wish to classify is an example of

Supervised Learning

Unsupervised Learning (*)

Classification

Regression

14. In a loan example "has job is"

(Choose all correct answers)

A label (*)

Dependent data

15. Classification of data is when

Data can be any numeric value

Data can only be a given discrete value for a list of choices (*)

Data can only be categorised with a small subtype of values

Data must be in a small range of values

5. The date and time of a credit card transaction is an example of information?

True

False (*)

7. Viewing the number of visitors to a website from the USA is an example of data

True

False (*)

11. Independent data relys on dependant data.

True

False (*)

14. Supervised Learning is

Is when we know the structure of what we are looking for (*)

Is when we do not know the structure of what we are looking for

Is when we can put information in context

Is when we can put data in context

2. Data normally stored in a table in a spreadsheet is

Structured data (*)

Unstructured Data

Indepedent data

Dependent data

5. Data that can be shown in table format can be described as structured

True (*)

False

7. What is data exhaust?

Is the temporary data that you do not delete on your mobile phone

Is delete data that you are still able to recover

A trail of data that you leave behind you (*)

Is data that you upload to the cloud

8. Machine Learning is

Attempt to build machines capable of simulating intelligent human behaviour Attempt to build machines capable of simulating intelligent human behaviour

The science of getting computers to act without being explicitly programmed (*)

Attempt to build machines that look and act like humans

To build computers that are capable of beating all players at chess

11. Requiring to check if someone has a good credit rating is an exampe of which stage?

Business understanding (*)

Data understanding

Data preparation

Modelling

3. Paper based invoices that come into your office from different sources are examples of

Structured data

Unstructured Data (*)

Indepedent data

Dependent data

15. Recording the tempearture every hour is an example of data

True (*)

False

1. In a binary tree what is the maximum number of children a node can have?

0

1

2 (*)

Any

2. If a node has both its siblings set to null this is called a:

Parent

Leaf (*)

Root

Branch

3. Non binary tree classes still have a left and right node property.

True

False (*)

4. The difference between a tree and a binary tree structure is:

A binary tree is restricted to a maximum of 2 siblings (*)

A binary tree is based around the notion of a root node

A non binary tree cannot be traversed

A non binary tree does not have leaf nodes

5. Information Entropy quantifies how much information there is in an event.

True (*)

False

6. If you know the outcome of an event 100% of the time how much entropy is contained within it?

0 (*)

0.25

0.5

1

7. In a decision tree, it doesn't matter which questions you start with.

True

False (*)

8. In the following tree what would be the result of a Post-Order Traversal?

 

123456

4275631 (*)

4217536

1243576

9. Which of the following is not a typical example of tree traversal?

Pre Order Traverasal

Post Order Traversal

In Order Traversal

Reverse Order Traversal (*)

10. In the following tree, what would be the result of a Pre-Order Traversal?

 

123456

4275631

4217536

1243576 (*)

11. Decision trees can only be created using ID3.

True

False (*)

12. Decision trees work better if they have more access to more data.

True (*)

False

13.

This is an example of a recursive method

int power(int a, int n)

{

int result = 1;

for(int i=0;i result *= a;

}

return result;

}

 

True

False (*)

14. If you create no base case in a recursive method then you will create:

A quicker method

A more efficient method

An infinite loop (*)

An iterative method

15. In recursion, a base case must be defined.

True (*)

False

2. The code below is an example of

 

void someorder(Node node)

{

    if (node == null)

     return;

 

   System.out.print(node.data + " ");

   printPreorder(node.left);

   printPreorder(node.right);

}

Pre Order Traverasal (*)

Post Order Traversal

In Order Traversal

Reverse Order Traversal

4. C4.5 is the successor to ID3.

True (*)

False

5. ID3 is short for:

Interactive Dichotomiser 3

Intersectional Dichotomiser 3

Iterative Dichotomiser 3 (*)

Institutational Dichotomiser 3

7. Which would be the best structure to show a family tree diagram?

Binary Tree

Non Binary Tree (*)

9. Trees are very useful for representing hierarchical structures.

True (*)

False

12. Variance is:

How average of all data items

How far data is spread out (*)

The difference between the largest and smallest item

Measures the relationship between all items

13. Which method uses more memory before iterative and recursive?

Recursive (*)

Iterative

Spiral

No difference

15. Recurive methods can always be written as iterative methods.

True (*)

False

5. Tree traversal is:

The process of searching for only one node

When you wish to remove all leaf nodes in a binary tree

When you set the root node on a binary tree

The process of visting each node once in a abinary tree (*)

9. The first node on a tree is known as a:

Point

Crown

Top

Root (*)

14. Decision trees can only be represented using binary trees.

True

False (*)

6. A method making a call to itself is called:

Iteration

Conditional

Recursion (*)

Search

1. In the following tree what would be the result of a In-Order Traversal?

123456

4275631

4217536 (*)

1243576

8. Binary Trees are made up of a structure known as a:

Point

Intersect

Node (*)

Nodule

13. C4.5 is the successor to ID3.

True (*)

False

1. In a Node class the name of the links to the children are normally called:

Child1, Child2

Left, Right (*)

Sibling1, Sibling2

Top, Bottom

5. Which of the following has the greatest variance?

0,0,0,0

1,2,3,4

1,1,2,2,3,3

1,50,100,2000 (*)

3. Recoding the number of visitors to a website by country is an example of data

True (*)

False

26. Business Understanding is when we understand which question that we want to try and answer.

True (*)

False

27. Cloud computing is one of the reasons behind the growth in Machine Learning.

True (*)

False

28. The reason for the increase use in AI is:

Data is recorded in far greater quantity

Computer processing power has increased

Machine Learning algorithms have improved

All of the above (*)

36. Must every node in a tree have a parent?

True

False (*)

19. Data exhaust allows systems to monitor your behaviours

True (*)

False

38. A binary tree can only store primitive values.

True

False (*)

40. What do we call a node that has 0 children?

Sibling

Leaf (*)

Root

Branch

NOTE : Yang mau copas atau repost kunci jawaban ini di persilahkan.asalkan memberikan sumber atau credit kepada website ini karena saya lelah berulang kali retry test sampe pegal coegggg :'( -MoenawarP

 

 

 

 

 

 

 

 

 

Kunci Jawaban Oracle AiML Sections 3 & 4 Quiz

 1. In a binary tree what is the maximum number of children a node can have?

0

1

2 (*)

Any

2. If a node has both its siblings set to null this is called a:

Parent

Leaf (*)

Root

Branch

3. Non binary tree classes still have a left and right node property.

True

False (*)

4. The difference between a tree and a binary tree structure is:

A binary tree is restricted to a maximum of 2 siblings (*)

A binary tree is based around the notion of a root node

A non binary tree cannot be traversed

A non binary tree does not have leaf nodes

5. Information Entropy quantifies how much information there is in an event.

True (*)

False

6. If you know the outcome of an event 100% of the time how much entropy is contained within it?

0 (*)

0.25

0.5

1

7. In a decision tree, it doesn't matter which questions you start with.

True

False (*)

8. In the following tree what would be the result of a Post-Order Traversal?

 

123456

4275631 (*)

4217536

1243576

9. Which of the following is not a typical example of tree traversal?

Pre Order Traverasal

Post Order Traversal

In Order Traversal

Reverse Order Traversal (*)

10. In the following tree, what would be the result of a Pre-Order Traversal?

 

123456

4275631

4217536

1243576 (*)

11. Decision trees can only be created using ID3.

True

False (*)

12. Decision trees work better if they have more access to more data.

True (*)

False

13.

This is an example of a recursive method

int power(int a, int n)

{

int result = 1;

for(int i=0;i result *= a;

}

return result;

}

 

True

False (*)

14. If you create no base case in a recursive method then you will create:

A quicker method

A more efficient method

An infinite loop (*)

An iterative method

15. In recursion, a base case must be defined.

True (*)

False

2. The code below is an example of

 

void someorder(Node node)

{

    if (node == null)

     return;

 

   System.out.print(node.data + " ");

   printPreorder(node.left);

   printPreorder(node.right);

}

Pre Order Traverasal (*)

Post Order Traversal

In Order Traversal

Reverse Order Traversal

4. C4.5 is the successor to ID3.

True (*)

False

5. ID3 is short for:

Interactive Dichotomiser 3

Intersectional Dichotomiser 3

Iterative Dichotomiser 3 (*)

Institutational Dichotomiser 3

7. Which would be the best structure to show a family tree diagram?

Binary Tree

Non Binary Tree (*)

9. Trees are very useful for representing hierarchical structures.

True (*)

False

12. Variance is:

How average of all data items

How far data is spread out (*)

The difference between the largest and smallest item

Measures the relationship between all items

13. Which method uses more memory before iterative and recursive?

Recursive (*)

Iterative

Spiral

No difference

15. Recurive methods can always be written as iterative methods.

True (*)

False

5. Tree traversal is:

The process of searching for only one node

When you wish to remove all leaf nodes in a binary tree

When you set the root node on a binary tree

The process of visting each node once in a abinary tree (*)

9. The first node on a tree is known as a:

Point

Crown

Top

Root (*)

14. Decision trees can only be represented using binary trees.

True

False (*)

6. A method making a call to itself is called:

Iteration

Conditional

Recursion (*)

Search

1. In the following tree what would be the result of a In-Order Traversal?

123456

4275631

4217536 (*)

1243576

8. Binary Trees are made up of a structure known as a:

Point

Intersect

Node (*)

Nodule

13. C4.5 is the successor to ID3.

True (*)

False

1. In a Node class the name of the links to the children are normally called:

Child1, Child2

Left, Right (*)

Sibling1, Sibling2

Top, Bottom

5. Which of the following has the greatest variance?

0,0,0,0

1,2,3,4

1,1,2,2,3,3

1,50,100,2000 (*)

NOTE : Yang mau copas atau repost kunci jawaban ini di persilahkan.asalkan memberikan sumber atau credit kepada website ini karena saya lelah berulang kali retry test sampe pegal coegggg :'( -MoenawarP

 

 

 

 

Kunci Jawaban Oracle AiML Sections 1 & 2 Quiz

 1. Which of the following are exampes that use Machine Learning

In car Navigation

Credit Card fraud detection

Bank loan application

All of the options (*)

2. Which of the following is the best definition of Artifical Intelligence

Attempt to build machines capable of simulating intelligent human behaviour Attempt to build machines capable of simulating intelligent human behaviour (*)

The science of getting computers to act without being explicitly programmed

Attempt to build machines that look and act like humans

To build computers that are capable of beating all players at chess

3. What does data mean?

Data is information in context

It is the gathering of the figures or facts (*)

It is information that has been processed in a particular format

It is when figures have been processed via machine learning

4. Viewing a summary of all your credit card transactions on a Monday is an example of information?

True (*)

False

5. Information is data in context

True (*)

False

6. Is raw processing power a demonstration of AI?

True

False (*)

7. Rainfall recorded as low, medium, high is an example of

Classification (*)

Regression

8. Regression of data is when

Data can be any numeric value (*)

Data can only be a given discrete value for a list of choices

9. Data shown as a regression can be converted to a classification by grouping it in ranges?

True (*)

False

10. Rainfall recorded as 2,3,0,3,4 is an example of

Classification

Regression (*)

Both Classification and Regression

None of the other options

11. In a loan example "has job is"

(Choose all correct answers)

A label (*)

Dependent data

12. The CRISP model is iterative.

True (*)

False

13. Data Understanding is the first stage of the CRISP model.

True

False (*)

14. Using a methodology such as CRISP decreases the likelihood of random and false discoveries when analyzing data.

True (*)

False

15. As personal computers and devices become more powerful, then the cloud will become irrelevant.

True

False (*)

1. In the CRIP model we cannot move back to a previous stage.

True

False (*)

2. Which one of the following is a model for looking at data via Machine Learning?

CRISP-DM (*)

DM-CRISP

Waterfall Model

Spiral Model

3. Data Understanding is the first stage of the CRISP model.

True

False (*)

4. A 1985 Cray super computer is more powerful than an Apple iPhone 5.

True

False (*)

5. Supervised Learning is

Is when we know the structure of what we are looking for (*)

Is when we do not know the structure of what we are looking for

Is when we can put information in context

Is when we can put data in context

6. Data shown as a regression can be converted to a classification by grouping it in ranges?

True (*)

False

7. Rainfall recorded as 2,3,0,3,4 is an example of

Classification

Regression (*)

Both Classification and Regression

None of the other options

8. Training a program to find faces in a picture is an example of supervised learning

True (*)

False

9. You train your algorithm with test data then test it with training data

True

False (*)

10. Automatic recording of GPS on your phone is an example of data exhaust?

True (*)

False

11. Which of the following is not an example of Machine Learning

Internet Search

Stock trading predictions

Temperature gauge in a car (*)

All of the options

12. The Turing test is

A test on how fast a computer can think.

A test to see whether a computer can imitate a human (*)

A test to see whether a human can imitate a computer

A test to see if a human understands AI.

13. Information can be as simple as presenting data in a different format?

True (*)

False

14. Average results for a class in a quiz is an example of data?

True

False (*)

15. Information is data in context

True (*)

False

2. The single most important thing to know is what should be achieved by using Machine Learning.

True (*)

False

3. We can move onto the next stage of our model without fully knowing the business question we wish to answer.

True

False (*)

4. Can machine learning only be used against one type of task

True

False (*)

5. Which of the following uses machine learning?

Google Searches

Facebook Adds

Netflix Suggestions

All of the options (*)

7. Cloud computing is one of the reasons behind the growth in Machine Learning.

True (*)

False

12. You watch a baseball game without every having seen or read about it and you wish to classify the players based on certain criteria - team, pitcher, fielder etc. This is an example of unsupervised learning.

True (*)

False

13. Having no knowledge of a system that you wish to classify is an example of

Supervised Learning

Unsupervised Learning (*)

Classification

Regression

14. In a loan example "has job is"

(Choose all correct answers)

A label (*)

Dependent data

15. Classification of data is when

Data can be any numeric value

Data can only be a given discrete value for a list of choices (*)

Data can only be categorised with a small subtype of values

Data must be in a small range of values

5. The date and time of a credit card transaction is an example of information?

True

False (*)

7. Viewing the number of visitors to a website from the USA is an example of data

True

False (*)

11. Independent data relys on dependant data.

True

False (*)

14. Supervised Learning is

Is when we know the structure of what we are looking for (*)

Is when we do not know the structure of what we are looking for

Is when we can put information in context

Is when we can put data in context

2. Data normally stored in a table in a spreadsheet is

Structured data (*)

Unstructured Data

Indepedent data

Dependent data

5. Data that can be shown in table format can be described as structured

True (*)

False

7. What is data exhaust?

Is the temporary data that you do not delete on your mobile phone

Is delete data that you are still able to recover

A trail of data that you leave behind you (*)

Is data that you upload to the cloud

8. Machine Learning is

Attempt to build machines capable of simulating intelligent human behaviour Attempt to build machines capable of simulating intelligent human behaviour

The science of getting computers to act without being explicitly programmed (*)

Attempt to build machines that look and act like humans

To build computers that are capable of beating all players at chess

11. Requiring to check if someone has a good credit rating is an exampe of which stage?

Business understanding (*)

Data understanding

Data preparation

Modelling

3. Paper based invoices that come into your office from different sources are examples of

Structured data

Unstructured Data (*)

Indepedent data

Dependent data

15. Recording the tempearture every hour is an example of data

True (*)

False

NOTE : Yang mau copas atau repost kunci jawaban ini di persilahkan.asalkan memberikan sumber atau credit kepada website ini karena saya lelah berulang kali retry test sampe pegal coegggg :'( -MoenawarP

 

 

 

 

 

Etika Yang Harus Ada Di Dalam Teknologi Informasi

 Etika Yang Harus Di Jaga Dalam Menggunakan Teknologi Informasi 

Assalamualaikum Warahmatullahi Wabarakatuh السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ,jumpa lagi dengan ana(saya dalam bahasa arab) sang pemiliki blog ini,saya harap antum antum sekalian dalam kondisi sehat wal alfiat baik itu rohani,jasmani maupun kesehatan dompet.nah setelah kita melakukan opening barusan mimin di sini akan membahas materi selanjut nya yaitu tentang Etika kita di dalam menggunakan teknologi informasi yang sudah berlimpah pada saat ini.Nah tanpa basa-basi lagi langsung saja kita gazzkeun cekidot.

Apa itu Etika dalam Teknologi Informasi???

Etika atau dalam bahasa inggirsnya disebut dengan Ethic merupakan sekumpulan azas atau sebuag nilaui yang berkesinambungan dengan akhlak,tata cara/adab mengenai benar atau salah tentang hak dan kewajiban yang dianut oleh suatu golongan atau yang di anut oleh sebuah masyarakat. 

Sedangkan Teknologi Informasi dalam konteks yang lebih luas,adalah merangkum semua aspek yang berhubungan dengan sebuah mesin atau perangkat keras(komputer dan telekomunikasi)dan teknik yang digunakan untuk menangkap(mengumpulkan),menyimpan,memanipulasi,menghantarkan,dan menampilkan suatu bentuk informasi.

Komputer yang mengendalikan semua bentuk ide dan informasi memainkan sebuah peranan yang sangat penting dalam pengumpulan,pemprosesan,penyimpan dan penyebaran informasi suara,gambar,teks dan angka yang bersumber dari mikroelektronik.Teknologi Informasi bermakna menggabungkan sebuah bidang teknologi seperti komputer,telekomunikasi dan elektronik dan bidang informasi lainnya seperti data,fakta dan sebuah proses.

Dari pengertian yang tersampaikan di atas kita dapat menyimpulkan,bahwa etika didalam teknologi informasi adalah sekumpulan nilai mengenai benar atau salah dalam proses mengumpulkan sebuah data,menyimpan data,dan menampilkan data tersebut dalam bentuk informasi kepada masyarakat melalui media perangkat teknologi informasi.

Apakah Etika Dalam Teknologi Informasi Itu Penting???

Sebenarnya seberapa pentingnya peran etika dalam berteknologi informasi itu???

Sebagaiman yang kita pahami,perkembangan sebuah teknologi yang sangat cepat dan mudah akan dibarengi oleh kemudahan masyarakat(society) mendapatkan informasi secara cepat dan akurat.Hal ini juga membawa dampak positif dan negatif dalam kehidupan bermasyarakat.

Sebagai Salah satu contohnya yaitu maraknya sebuah pornografi yang beredar di dunia maya.sebagai salah satu media penyedia informasi yang paling aktraktif,internet sering kali dijadikan media untuk menyalurkan dan mendistribusikan sebuah konten-konten pornografi.Bukan hanya melalui situs-situs tertentu,tetapi kerja juga dapat di temui melalui sebuah forum.Pengkasesan situs-situs negatif ini oleh mereka yang belum cukup umur dan tidak mengerti,dapat menimbulkan kerusakan moral atau degradasi moral.hal ini merupakan salah satu contoh pentingnya etika dalam teknologi dan informasi.etika merupakan sebuah landasan bagi sesorang untuk bertindak dan memahami positif dan negatifnya suatu perbuatan.Sekarang,banyak orang yang tidak mengindahkan etika,hal ini terbukti dari kasus yang di atas.

Etika yang harus dilaksanakan dalam Teknologi Informasi

Hal-hal yang harus diperhatikan dalam menggunakan teknologi informasi adalah sebagai berikut :

1.Bersikap sopan dan santun kepada seseorang(didalam dunia maya)walaupun kita tidak bertatap muka secara langsung.

2.Menggunakan alat teknologi informasi untuk melakukan hal-hal yang positif dan bermanfaat.

3.Tidak Menggangu dan merusak sebuah sistem informasi yang dimiliki oleh orang lain dengan cara apapun.

4.Tidak sembarangan memberikan sebuah ussername dan password kepada orang lain yang tidak diperkenakan untuk menggunakan UserId tersebut.

5.Tidak memasuki sebuah sistem informasi orang lain secara illegal tanpa sepengetahuan orang tersebut.

6.Menggunakan alat fasilitias teknologi informasi dengan bijaksana serta merawatnya dengan baik

.

7.Menjungjung tinggi Hak kekayan intelektual atau biasa disebut dengan HAKI.contohnya,pencantuman url sebuah website yang menjadi refrensi tulisan kita baik itu media cetak maupun media elektronik.

8.Tidak menggunakan teknologi informasi dalam melakukan tindakan yang melanggar hukum dan norma-norma yang berlaku dalam agama dan masyarakat.

Mungkin cukup segitu saja yang mungkin saya dapat sampaikan mengenai tentang materi Etika yang harus ada di dalam teknologi informasi ini.Sekian Dan Terimakasih lebih dan kurang saya mohon maaf Assalamualaikum Warahmatullahi Wabarakatuh السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ saya mohon pamit dulu dan sampai jumpa di artikel selanjut nya :D,Bye All,ARRIVEDERCI.

Apa Itu Microsoft PowerPoint????Apakah itu kekuatan di upgrade dengan point???Mari Kita Simak.

 Tentang Aplikasi Presentasi dan Segala Macamnya

Assalamualaikum Warahmatullahi Wabarakatuh السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ,jumpa lagi dengan ana(saya dalam bahasa arab) sang pemiliki blog ini,saya harap antum antum sekalian dalam kondisi sehat wal alfiat baik itu rohani,jasmani maupun kesehatan dompet.nah setelah kita melakukan opening barusan mimin di sini akan membahas materi selanjut nya yaitu tentang Microsoft PowerPoint yaitu sebuah software(perangkat lunak)/aplikasi pengolah presentasi dan hal-hal lainnya yang ada di dalam aplikasi/software(perangkat lunak) tersebut  yang di mana Microsoft PowerpPoint itu Pasti  ada di setiap komputer atau laptop kamu-kamu sekalian(kecuali ente install ulang dan tidak niat pakai ms office tetapi pakai google docs silahkan).Nah tanpa basa-basi lagi langsung saja kita gazzkeun cekidot.

Apa itu Microsoft PowerPoint???

Microsfot PowerPoint adalah sebuah software(perangkat lunak) aplikasi yang di ciptakan oleh Microsoft Corporation yang dipakai untuk membuat dan merancang bahan presentasi dalam betuk sebuah slide.dengan bantuan dari Microsoft PowerPoint,seseorang dapat membuat bentuk presentasi profesional dengan mudah yang dimana presentasi tersebut dapat digunakan sebagai bahan pembelajaraan atau lainnya yang berhubungan dengan presentasi.

Fungsi Microsoft PowerPoint 

Setiap software(perangkat lunak)/program aplikasi pasti diciptakan dengan tujuan tertentu dan jelas,hal ini tidak terkecuali dengan software(perangkat lunak) Microsoft PowerPoint.Microsoft Powerpoint ini mempunyai beragam fungsi dan manfaat antarai lain yaitu sebagai berikut : 

1.Membuat Audience(peserta yang ikut dalam presentasi) lebih mudah memahami materi presentasi karena penyaji hanya menampilkan poin-poin penting yang disuguhkan dalam sebuah bentuk slide.

2.Memudahkan Presenter dalam mengatur materi dan slide yang hendak disampaikan kepada Audience(peserta).

3.Membuat Penyampaian materi lebih variatif dan lebih berkesan,jika presenter menambahkan sebuah animasi-animasi di dalam slide presentasinya.sebab,pada kasus yang sering terjadi,audience(peserta) cenderung lebih kurang fokus dan bosan apabila materi yang di sampaikan oleh presenter membosankan dan monoton.

Kelebihan Dan Kekurangan dari Software(Perangkat Lunak)Microsoft PowerPoint

Sama halnya dengan Software(perangkat lunak) program aplikasi lainnya,PowerPoint juga memiliki beberapa Kelebihan dan kekuaranganya antara lain yaitu sebagai berikut :

A.Kelebihan 

1.Memudahkan para User(Pengguna) dalam Membuat Slide Presentasi 

Microsoft PowerPoint dapat memudahkan seseorang yang sering melakukan presentasi di khalayak umum,terutama bagi orang yang memakai alat bantu presentasi seperti screen projector(infocus).

2.Memiliki Fitur Kolaborasi

Ketika anda sedang di kejar oleh deadline,pasti anda sangat membutuhkan wahyu(petunjuk/pertolongan)dari seseorang untuk menyelesaikan tugas yang di kejar deadline tersebut.tapi sekarang anda tidak perlu terlalu khawatir karena Software(Perangkat Lunak) Microsoft PowerPoint menjadi cepat dan mudah.

B. Kekurangan

1.Hanya Bisa Digunakan Pada Platform Microsoft

Software(Perangkat Lunak) pengolah presentasi ini hanya dapat di operasikan di os(operating system) milik WIndows.

2.Harga Terlalu Mahal

Software(Perangkat Lunak) ini termasuk mahal,khusus nya bagi pelajar dan mahasiswa dan pemilik usaha kecil(ukm).sebab microsoft memang memperuntukan software(perangkat lunak) ini hanya bagi konsumen yang berasal dari kalangan pengusaha dan perusahaan besar.

Mungkin cukup segitu saja yang mungkin saya dapat sampaikan mengenai tentang materi Microsoft PowerPoint ini.Sekian Dan Terimakasih lebih dan kurang saya mohon maaf Assalamualaikum Warahmatullahi Wabarakatuh السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ saya mohon pamit dulu dan sampai jumpa di artikel selanjut nya :D,Bye All,ARRIVEDERCI.

Hal-Hal Yang Mengenai Microsoft Excel

 Hal-Hal Yang Mengenai Microsoft Excel Dan Spreadsheet

Assalamualaikum Warahmatullahi Wabarakatuh السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ,jumpa lagi dengan ana(saya dalam bahasa arab) sang pemiliki blog ini,saya harap antum antum sekalian dalam kondisi sehat wal alfiat baik itu rohani,jasmani maupun kesehatan dompet.nah setelah kita melakukan opening barusan mimin di sini akan membahas materi selanjut nya yaitu tentang Microsfot Excel dan hal-hal lainnya seperti Spreadsheet yang di mana Microsoft Excel itu Pasti  ada di setiap komputer atau laptop kamu-kamu sekalian(kecuali ente install ulang dan tidak niat pakai ms office tetapi pakai google docs silahkan).Nah tanpa basa-basi lagi langsung saja kita gazzkeun cekidot.

Apa Itu Microsoft Excel???

Microsoft Excel adalah sebuah program(software) aplikasi pengolah kata/lembar kerja yang dibuat oleh Microsoft Corporation untuk sistem operasi(OS) Microsoft Windows dan Mac OS.Software Pengolah angka besutan Microsfot ini dilengkapi dengan fitur kalkulasi dan pembuatan grafik sesuai dengan strategi marketing Microsoft.

Sejarah Microsoft Excel

MS Excel atau biasa di sebut dengan Microsoft Excel(kenapa ada embel-embel Microsoft??karena memang buatan Mirosoft)Pertama kali di launching(dikeluarkan) yaitu pada tahun 1985,Namun Software(Perangkat Lunak) Microsoft Excel tersebut hanya competible(bisa di gunakan) di OS(Operating System)/Sistem Operasi milik Apple yaitu Mac os atau biasa di sebut dengan Macintosh OS dan Software(Perangkat Lunak) MS excel tersebut hanya di beri nama Excel Tanpa embel-embel dan nama Microsoft di nama depannya(nanti ada tuh di kasih nama Microsoft di depan nya).

 Pada awal Rilis Software(Perangkat Lunak) aplikasi excel tersebut microsoft sempat dikecam dan dituntut oleh perusahaan lain yang bergerak di dalam bidang keuangan(finansial) yang pada waktu itu juga menamai aplikasi nya dengan sebutan Excel juga.Pada akhirnya perusahaan tersebut berhasil menang dan akhirnya Microsoft resmi mengganti nama software(perangkat lunak) nya yang nama awalnya Excel Menjadi Microsoft Excel.

Setelah Kejadian Tuntut Menuntut tersebut Microsoft tidak terlalu ambil pusing menangani masalah itu,malahan pihak Microsoft pada akhirnya membeli nama software dari persusahaan yang menuntut Microsoft tersebut untuk memastikan tidak ada persoalan masalah yang sama yang akan terulang di kemudian hari.

Apa Itu Yang di maksud dengan Spreedsheet???

Spreadsheet adalah merupakan sebuah lembaran kertas yang di dalam nya berisi sebua data dalam bentuk kolom dan baris.Spreedsheet juga memiliki fungsi yaitu untuk membuat sebuah laporan keuangan,laporan penjualan,laporan pembelian,menghitung sebuah formula,membuat suatu tabel lembar kerja,dan lain-lain(selama tersedia di fitur Spreadsheet tersebut).Spreadsheet juga sangat berbeda dengan database.Soalnya Spreadsheet ini tidak menyediakan fitur query(kueri) untuk melakukan kegiatan basis data dan juga tidak menyediakan fitur item dana dan struktur data yang biasanya ada di aplikasi database.ini lah yang menjadi pembeda antara spreadsheet dan basis data.

Mungkin cukup segitu saja yang mungkin saya dapat sampaikan mengenai tentang materi Microsoft Offie ini.Sekian Dan Terimakasih lebih dan kurang saya mohon maaf Assalamualaikum Warahmatullahi Wabarakatuh السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ saya mohon pamit dulu dan sampai jumpa di artikel selanjut nya :D,Bye All,ARRIVEDERCI.