SlideShare a Scribd company logo
1 of 9
Pemrograman Komputer Pertemuan 12 Array (Cont’d) Bambang Heru Iswanto, Dr.rer.nat M.Si ,[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Exercise 1 – Input / Output Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | 55 22 68 49 81 49 35 56 55 49
Exercise 2 – Find Highest Value in the List ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | 55 22 68 49 81 49 35 56 55 49
Exercise 2 – Solution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Exercise 3 - Calculate the Average Mark ,[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | 55 22 68 49 81 49 35 56 55 49
Exercise 4: Counting array elements Find out the number of students who passed the module (by gaining 40 or more marks). To do this we have to initialise a counter and process through the array, counting the number of marks that are equal to or greater than 40. Write the program design to solve this problem. 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | 55 22 68 49 81 49 35 56 55 49
Exercise 5: Using two arrays ,[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Exercise 5 cont’d ,[object Object],VBmarks credits 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | 55 22 68 49 81 49 35 56 55 49 40 50 40 30 30 60 70 50 40 30
TERIMA KASIH 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |

More Related Content

Similar to Pemrograman komputer 12 (array - latihan)

Examview testmanager userguide 8.1
Examview testmanager userguide 8.1Examview testmanager userguide 8.1
Examview testmanager userguide 8.1William McIntosh
 
Feature extraction for classifying students based on theirac ademic performance
Feature extraction for classifying students based on theirac ademic performanceFeature extraction for classifying students based on theirac ademic performance
Feature extraction for classifying students based on theirac ademic performanceVenkat Projects
 
Learning Analytics for Computer Programming Education
Learning Analytics for Computer Programming EducationLearning Analytics for Computer Programming Education
Learning Analytics for Computer Programming EducationIRJET Journal
 
Student Performance Predictor
Student Performance PredictorStudent Performance Predictor
Student Performance PredictorIRJET Journal
 
An accurate ability evaluation method for every student with small problem it...
An accurate ability evaluation method for every student with small problem it...An accurate ability evaluation method for every student with small problem it...
An accurate ability evaluation method for every student with small problem it...Hideo Hirose
 
SAINT COLUMBAN COLLEGE REAL-TIME OCCUPANCY MONITOR.pptx
SAINT COLUMBAN COLLEGE REAL-TIME OCCUPANCY MONITOR.pptxSAINT COLUMBAN COLLEGE REAL-TIME OCCUPANCY MONITOR.pptx
SAINT COLUMBAN COLLEGE REAL-TIME OCCUPANCY MONITOR.pptxJoshuaAbiles1
 
Course recommender system
Course recommender systemCourse recommender system
Course recommender systemAakash Chotrani
 
Exam viewtestmanageruserguide
Exam viewtestmanageruserguideExam viewtestmanageruserguide
Exam viewtestmanageruserguideWilliam McIntosh
 
ONLINE EXAMINATION on ASP.NET
ONLINE EXAMINATION on ASP.NETONLINE EXAMINATION on ASP.NET
ONLINE EXAMINATION on ASP.NETRupam Dey
 
Final Project
Final ProjectFinal Project
Final Projecteclumson
 
Big data project
Big data projectBig data project
Big data projectKedar Kumar
 
IRJET- Stabilization of Black Cotton Soil using Rice Husk Ash and Lime
IRJET- Stabilization of Black Cotton Soil using Rice Husk Ash and LimeIRJET- Stabilization of Black Cotton Soil using Rice Husk Ash and Lime
IRJET- Stabilization of Black Cotton Soil using Rice Husk Ash and LimeIRJET Journal
 
IRJET- Student Placement Prediction using Machine Learning
IRJET- Student Placement Prediction using Machine LearningIRJET- Student Placement Prediction using Machine Learning
IRJET- Student Placement Prediction using Machine LearningIRJET Journal
 
S13CS61920410Presentation
S13CS61920410PresentationS13CS61920410Presentation
S13CS61920410PresentationAbid Muslim
 
UNIT 1 Machine Learning [KCS-055] (1).pptx
UNIT 1 Machine Learning [KCS-055] (1).pptxUNIT 1 Machine Learning [KCS-055] (1).pptx
UNIT 1 Machine Learning [KCS-055] (1).pptxRohanPathak30
 
IRJET- Tracking and Predicting Student Performance using Machine Learning
IRJET- Tracking and Predicting Student Performance using Machine LearningIRJET- Tracking and Predicting Student Performance using Machine Learning
IRJET- Tracking and Predicting Student Performance using Machine LearningIRJET Journal
 

Similar to Pemrograman komputer 12 (array - latihan) (20)

Examview testmanager userguide 8.1
Examview testmanager userguide 8.1Examview testmanager userguide 8.1
Examview testmanager userguide 8.1
 
Users guide-how-to-v4
Users guide-how-to-v4Users guide-how-to-v4
Users guide-how-to-v4
 
Feature extraction for classifying students based on theirac ademic performance
Feature extraction for classifying students based on theirac ademic performanceFeature extraction for classifying students based on theirac ademic performance
Feature extraction for classifying students based on theirac ademic performance
 
Learning Analytics for Computer Programming Education
Learning Analytics for Computer Programming EducationLearning Analytics for Computer Programming Education
Learning Analytics for Computer Programming Education
 
Student Performance Predictor
Student Performance PredictorStudent Performance Predictor
Student Performance Predictor
 
An accurate ability evaluation method for every student with small problem it...
An accurate ability evaluation method for every student with small problem it...An accurate ability evaluation method for every student with small problem it...
An accurate ability evaluation method for every student with small problem it...
 
SAINT COLUMBAN COLLEGE REAL-TIME OCCUPANCY MONITOR.pptx
SAINT COLUMBAN COLLEGE REAL-TIME OCCUPANCY MONITOR.pptxSAINT COLUMBAN COLLEGE REAL-TIME OCCUPANCY MONITOR.pptx
SAINT COLUMBAN COLLEGE REAL-TIME OCCUPANCY MONITOR.pptx
 
Course recommender system
Course recommender systemCourse recommender system
Course recommender system
 
Socrative userguide
Socrative userguideSocrative userguide
Socrative userguide
 
Exam viewtestmanageruserguide
Exam viewtestmanageruserguideExam viewtestmanageruserguide
Exam viewtestmanageruserguide
 
ONLINE EXAMINATION on ASP.NET
ONLINE EXAMINATION on ASP.NETONLINE EXAMINATION on ASP.NET
ONLINE EXAMINATION on ASP.NET
 
Final Project
Final ProjectFinal Project
Final Project
 
Socrative user guide
Socrative user guideSocrative user guide
Socrative user guide
 
Kaggle KDD Cup Report
Kaggle KDD Cup ReportKaggle KDD Cup Report
Kaggle KDD Cup Report
 
Big data project
Big data projectBig data project
Big data project
 
IRJET- Stabilization of Black Cotton Soil using Rice Husk Ash and Lime
IRJET- Stabilization of Black Cotton Soil using Rice Husk Ash and LimeIRJET- Stabilization of Black Cotton Soil using Rice Husk Ash and Lime
IRJET- Stabilization of Black Cotton Soil using Rice Husk Ash and Lime
 
IRJET- Student Placement Prediction using Machine Learning
IRJET- Student Placement Prediction using Machine LearningIRJET- Student Placement Prediction using Machine Learning
IRJET- Student Placement Prediction using Machine Learning
 
S13CS61920410Presentation
S13CS61920410PresentationS13CS61920410Presentation
S13CS61920410Presentation
 
UNIT 1 Machine Learning [KCS-055] (1).pptx
UNIT 1 Machine Learning [KCS-055] (1).pptxUNIT 1 Machine Learning [KCS-055] (1).pptx
UNIT 1 Machine Learning [KCS-055] (1).pptx
 
IRJET- Tracking and Predicting Student Performance using Machine Learning
IRJET- Tracking and Predicting Student Performance using Machine LearningIRJET- Tracking and Predicting Student Performance using Machine Learning
IRJET- Tracking and Predicting Student Performance using Machine Learning
 

More from jayamartha

Kalkulus 1 - Kuis 4
Kalkulus 1 - Kuis 4Kalkulus 1 - Kuis 4
Kalkulus 1 - Kuis 4jayamartha
 
Kalkulus 1 - Kuis 3
Kalkulus 1 - Kuis 3Kalkulus 1 - Kuis 3
Kalkulus 1 - Kuis 3jayamartha
 
Kalkulus 1 - Kuis 2
Kalkulus 1 - Kuis 2Kalkulus 1 - Kuis 2
Kalkulus 1 - Kuis 2jayamartha
 
Kalkulus 1 - Kuis 1
Kalkulus 1 - Kuis 1Kalkulus 1 - Kuis 1
Kalkulus 1 - Kuis 1jayamartha
 
Week 15 kognitif
Week 15 kognitifWeek 15 kognitif
Week 15 kognitifjayamartha
 
15-superconductivity
15-superconductivity15-superconductivity
15-superconductivityjayamartha
 
12-14 d-effect_of_electron_-_electron_interaction
12-14 d-effect_of_electron_-_electron_interaction12-14 d-effect_of_electron_-_electron_interaction
12-14 d-effect_of_electron_-_electron_interactionjayamartha
 
7-metal_vs_semiconductor
7-metal_vs_semiconductor7-metal_vs_semiconductor
7-metal_vs_semiconductorjayamartha
 
12 -14 c-spin_paramagnetism
12 -14 c-spin_paramagnetism12 -14 c-spin_paramagnetism
12 -14 c-spin_paramagnetismjayamartha
 
12 -14 b-diamagnetism
12 -14 b-diamagnetism12 -14 b-diamagnetism
12 -14 b-diamagnetismjayamartha
 
12-14 a-magnetic_effects_in_quantum _mechanics
12-14 a-magnetic_effects_in_quantum _mechanics12-14 a-magnetic_effects_in_quantum _mechanics
12-14 a-magnetic_effects_in_quantum _mechanicsjayamartha
 
Week4-5 tb-kognitif
Week4-5 tb-kognitifWeek4-5 tb-kognitif
Week4-5 tb-kognitifjayamartha
 
10-11 a-energy_bands
10-11 a-energy_bands10-11 a-energy_bands
10-11 a-energy_bandsjayamartha
 
7 -metal_vs_semiconductor
7 -metal_vs_semiconductor7 -metal_vs_semiconductor
7 -metal_vs_semiconductorjayamartha
 
Week-13 model pembelajaran
Week-13 model pembelajaranWeek-13 model pembelajaran
Week-13 model pembelajaranjayamartha
 
5-6-definition_of_semiconductor
5-6-definition_of_semiconductor5-6-definition_of_semiconductor
5-6-definition_of_semiconductorjayamartha
 
Week-15 kognitif
Week-15 kognitifWeek-15 kognitif
Week-15 kognitifjayamartha
 
Week 15 kognitif
Week 15 kognitifWeek 15 kognitif
Week 15 kognitifjayamartha
 

More from jayamartha (20)

Kalkulus 1 - Kuis 4
Kalkulus 1 - Kuis 4Kalkulus 1 - Kuis 4
Kalkulus 1 - Kuis 4
 
Kalkulus 1 - Kuis 3
Kalkulus 1 - Kuis 3Kalkulus 1 - Kuis 3
Kalkulus 1 - Kuis 3
 
Kalkulus 1 - Kuis 2
Kalkulus 1 - Kuis 2Kalkulus 1 - Kuis 2
Kalkulus 1 - Kuis 2
 
Kalkulus 1 - Kuis 1
Kalkulus 1 - Kuis 1Kalkulus 1 - Kuis 1
Kalkulus 1 - Kuis 1
 
P6
P6P6
P6
 
Week 15 kognitif
Week 15 kognitifWeek 15 kognitif
Week 15 kognitif
 
15-superconductivity
15-superconductivity15-superconductivity
15-superconductivity
 
12-14 d-effect_of_electron_-_electron_interaction
12-14 d-effect_of_electron_-_electron_interaction12-14 d-effect_of_electron_-_electron_interaction
12-14 d-effect_of_electron_-_electron_interaction
 
7-metal_vs_semiconductor
7-metal_vs_semiconductor7-metal_vs_semiconductor
7-metal_vs_semiconductor
 
12 -14 c-spin_paramagnetism
12 -14 c-spin_paramagnetism12 -14 c-spin_paramagnetism
12 -14 c-spin_paramagnetism
 
12 -14 b-diamagnetism
12 -14 b-diamagnetism12 -14 b-diamagnetism
12 -14 b-diamagnetism
 
12-14 a-magnetic_effects_in_quantum _mechanics
12-14 a-magnetic_effects_in_quantum _mechanics12-14 a-magnetic_effects_in_quantum _mechanics
12-14 a-magnetic_effects_in_quantum _mechanics
 
Week4-5 tb-kognitif
Week4-5 tb-kognitifWeek4-5 tb-kognitif
Week4-5 tb-kognitif
 
10-11 a-energy_bands
10-11 a-energy_bands10-11 a-energy_bands
10-11 a-energy_bands
 
7 -metal_vs_semiconductor
7 -metal_vs_semiconductor7 -metal_vs_semiconductor
7 -metal_vs_semiconductor
 
Week-13 model pembelajaran
Week-13 model pembelajaranWeek-13 model pembelajaran
Week-13 model pembelajaran
 
5-6-definition_of_semiconductor
5-6-definition_of_semiconductor5-6-definition_of_semiconductor
5-6-definition_of_semiconductor
 
Week-15 kognitif
Week-15 kognitifWeek-15 kognitif
Week-15 kognitif
 
Week 15 kognitif
Week 15 kognitifWeek 15 kognitif
Week 15 kognitif
 
Pert 1-4
Pert 1-4Pert 1-4
Pert 1-4
 

Recently uploaded

Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...RKavithamani
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 

Recently uploaded (20)

Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 

Pemrograman komputer 12 (array - latihan)

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Exercise 4: Counting array elements Find out the number of students who passed the module (by gaining 40 or more marks). To do this we have to initialise a counter and process through the array, counting the number of marks that are equal to or greater than 40. Write the program design to solve this problem. 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id | 55 22 68 49 81 49 35 56 55 49
  • 7.
  • 8.
  • 9. TERIMA KASIH 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |