# data[].attributes.body
1. Mira Shumiza Binti Mohammad (47556)
2. Jadirah Azra Binti Kamarolzema (47050)
3. Dyg Nur Azyra Binti Abg Mohamad Adawi (45517)
4. Nor Ika Shahirah Binti Ramli (42843)

# data[].attributes.headline
Big data analytic mindmap (smart garbage) 

# data[].attributes.subject
Big data analytic mindmap (smart garbage) 

# data[].attributes.body
Members:
1. Nurissa Maryam 50259
2. Norul Arina 50253
3. Veronica Sima 50270
4. Hanis Suraya 50233
5. Fatin Nabila 50231

# data[].attributes.body
1. Fatin aina binti abdul aziz (45566)
2. Bibi nisa syahidda binti askandar khan (45495)
3. noor faezun binti mohd khalil
4. Nur Khalilah binti Khalid (49923)
5. Azliza binti alang adnan (49633)

# data[].attributes.body
Group Members:
1. Jasper Jamau Lee
2. Ricky Randong
3. Bernard ak Jimbai
4. Mohd Safwan
5. Mohd Aslam

# data[].attributes.body
Group Members:
[1] Faziana Binti Mohd Rozi (46828)
[2] Norhafiza Binti Abd Razak (48097)
[3] Sofia Binti Ayob (49069)
[4] Larry Nazarin (47249)
[5] Muhammad Hamizan Hani Bin Md Isa (47787)
[1] Faziana Binti Mohd Rozi (46828)
[2] Norhafiza Binti Abd Razak (48097)
[3] Sofia Binti Ayob (49069)
[4] Larry Nazarin (47249)
[5] Muhammad Hamizan Hani Bin Md Isa (47787)

# data[].attributes.headline
BIG DATA ANALYTIC  Augmented Reality: Education

# data[].attributes.subject
BIG DATA ANALYTIC  Augmented Reality: Education

# data[].attributes.body
Group member:

Alya binti Omar 46231
Nur Ainina binti Fadzi 48166
Siti Atika binti Yaakob 48949
Najihah binti Safie 47875
Nurul Nabilah binti Saffinye 48602

# data[].attributes.body
Group Members:
1. Fatin Nasuha binti Khairodin 46820
2. Ahmad Haziq irfan bin Saharuddin 46159
3. Nur Syahirah binti Salleh 48393
4. Muhammad Arif Azfar bin Mohd Sofian 47757
5. Fatin Hazirah binti Hermi 46811

# data[].attributes.body
Member:

1. Mohamad Fazlan Bin Joni (47576)

2. Ahmad Azfar Syafiq B Abd Rahim (46150)

3. Amir Amsyar B Mohd Yusoff (46253)

4. Muhammad Khairil Izzudin B Ab Halim (47801)

5. Mohd Syahmi Ezahier B Sukri (47681)

# data[].attributes.body
1. Dinesh A/L Kalaichelvan (46658)
2. Muhammad Shafiq Abu Bakar(47819)
3.Idren Sudesh (47000)
4. Muhammad Zulhusni bin Mustaffa (52755)
5. Wong Wan Jing (49454)

# data[].attributes.headline
Big Data Analytic Mindmap (Smart Robotic Barber)

# data[].attributes.subject
Big Data Analytic Mindmap (Smart Robotic Barber)

# data[].attributes.body
Member :
1. Ferliano 46839
2. Florina 46851
3. Felnny 46836
4. Laura 47259
5. ‎Bonney 49640

# data[].attributes.headline
Big data analytic mindmap(smart stylist robot)

# data[].attributes.subject
Big data analytic mindmap(smart stylist robot)

# data[].attributes.body
1- Nursalsabila Bt Mohd Rusli 48493
2-Siti Nur Sazwanis Bt Hamzah 49017
3-Aida bt Ahat 46172
4-Nur Fitriyani Bt Buang 48288
5-Syed Irwan Faez wan Alem 49166

# data[].attributes.headline
Big Data Analytic Mind Maps ( Driverless Car)

# data[].attributes.subject
Big Data Analytic Mind Maps ( Driverless Car)

# data[].attributes.body
Group Member:
1)Nurfazlyana Binti Mazlan-48469
2)Nurfatihah binti Azman-48463
3) NURUL ANIS SHAHIRA BT SALLEH-48536
4)Nur Syarafina Bt Azami-48403
5)Nurathirah Syaza Bt abd Rasid-48443

# data[].attributes.headline
Big Data Analytic Mind Maps ( Smart Groceries Robot)

# data[].attributes.subject
Big Data Analytic Mind Maps ( Smart Groceries Robot)

# data[].attributes.body
Group Member:
1. Muhammad Amirul Asyraf Bin Mustaffa (45718)
2. Mohammad Azrulizham Bin Kadari (45684)
3. Aiffa Zahirah
4. Voon Hui Yee
5. Tarryn Tan Yan Yi

# data[].attributes.headline
Big Data Analytic Mind Maps (Smart Robotic Teacher)

# data[].attributes.subject
Big Data Analytic Mind Maps (Smart Robotic Teacher)

# data[].attributes.body
Group Member:
1. Ho Yoong Ming (46987)
2. Khoo Yik Sin (47190)
3. Kong En Yie (47215)
4. Lim Yii Vonne (47407)
5. Tung Mun Yei (49335)

# data[].attributes.body
Group Member

1. Najmi Madihah Binti Roslan (47876)
2. Mohd Baizatur Ridzwan Bin Awanzy (45311)
3. Normaz Amylyana Binti Mazni (48120)
4. Mohd Fikri Bin Darahim (47687)
5. Farah Izzati Binti Abdul Manaf (46779)

Type of data
1. Image
2. Video
3. Live Animation
4. Voice
5. Simulations
6. Real Time video
7. Data with medical related
8. Hand-motion
9. VR set motion

Improvements/ Interventions
1. Able virtual surgery for learning process
2. Able share data among medical officer for references
3. Able live discussion between medical officer by using virtual reality technology

# data[].attributes.headline
Halal Food Verification Using Blockchain

# data[].attributes.subject
Halal Food Verification Using Blockchain

# data[].attributes.body
Group members:
1. Mohd Farhan Bin Mohd Asri (50244)
2. Muhammad Azizi Bin Mohd Nasir (50249)
3. Awangku Azlan Shah Hibatullah (50221)
4. Mohd Izulhamizan Bin Siros (50245)
5. Luqman Farhain Bin Abdul Rahim (50240)

# data[].attributes.headline
Big Data Mindmap (Smart Kitchen for Smart Restaurant)

# data[].attributes.subject
Big Data Mindmap (Smart Kitchen for Smart Restaurant)

# data[].attributes.body
Group Members:

1. Lim Zhen Terk    (47410)

2. Low Boon Wee   (47459)

3. Yong Ming    (49499)

4. Alvin Liew Chia Chin  (46230)

5. Lee Kawai Ko   (47284)

# data[].attributes.body
Member:

Gerald Huang Ki Wei (50232)

Tie Ngie Poh (50269)

Lai Fock Keung (50238)

Cheah Ying Han (46476)

1. Internal
Customer attributes
- Name : User
-Time-Stamp : Register / Request
-Time-Stamp : Used
-Time-Stamp : Return / Expired
-Location
-Sub- Location

External
-Weather API
-Local Calender API

2.

Usage trending.

Predictive : Usage

Estimate usage per use/request.

Prescriptive : add/decrease amount of locker.

3. Mindmap :

# data[].attributes.body
Member
- Nur Haslinda Zureen binti Hasanuddin (48303)
- Siti Hawa binti Hasdi (45335)
- Muhd Izzat Wazini bin Hill Junaidi (47843)
- Hasbullah bin Abdullah

1. - Location
- GSM data (User)
- Type of sensor used

2. - Exact accident location
- Type of sensor

3. Mindmap:

# data[].attributes.body
1. Identify relevant data related to your proposed IR4.0 Technology / Systems
2. Analyze the data to get some insights to be used for the improvement / intervention.
3. Draw a mind map to describe the output.