This document contains a list of 26 students with their matriculation numbers and names. It provides a schedule for attendance taking from September 1-30, 2023. Each date has space to mark attendance for each student on the list.
This document contains biodata information for 26 students including their name, student ID number, address, passport number, state, and phone number. It lists basic contact details for each student such as name, ID, address, passport information, home state, and phone number.
This document is a schedule listing the names of 10 people across 7 days from November 7-13 and November 22-30. It assigns each person to a specific date in the schedule.
This document is a student attendance list for a class called "Program Ijazah Sarjana Muda Pengajian Quran dan Sunnah Dengan Kepujian USIM di Darul Quran" for the month of an unspecified date in 2016. It contains the names of 50 students along with their student ID numbers and indicates they are all in the first semester. The class code is listed as SK1362, which stands for Teknologi Maklumat & Komunikasi. The lecturer's name is also provided.
This document contains the results of the NTS admission test held on December 18, 2022. It includes the roll numbers, names, father's names and marks of 160 students who appeared in various papers (NAT-IE, NAT-IM, etc.). The highest marks were 81 and the lowest marks were 23. The document provides a list of student results from the admission test organized by their roll number and test score.
Jadual Tugas Jentera Penggerak Pemilihan Mpp 09Xtreme-C
This document contains a schedule assigning students to monitor election machinery for the MPP 09-10 elections at Kolej Ungku Omar, Universiti Kebangsaan Malaysia from January 23rd to 27th, 2010. It lists the students assigned to different time slots between 10pm-6am on those dates. It requests that students be ready to perform emergency duties if needed outside their scheduled times.
This document is a list of 241 participants for the 2015 thesis defense (skripsi) including their names and registration information. It provides instructions that the dress code is casual but neat with a shirt and shoes, and registration will be open from 7:00-7:30 AM.
This document appears to be a student registration list containing names of male and female students organized by class (Al-Firdaus, An-Naim, etc.) and identifying information such as their identification numbers. There are multiple pages of lists with names in rows and columns identifying the students' class, identification numbers, gender and possible other academic information. The document provides a roster of registered students but does not include any other context or narrative.
This document contains biodata information for 26 students including their name, student ID number, address, passport number, state, and phone number. It lists basic contact details for each student such as name, ID, address, passport information, home state, and phone number.
This document is a schedule listing the names of 10 people across 7 days from November 7-13 and November 22-30. It assigns each person to a specific date in the schedule.
This document is a student attendance list for a class called "Program Ijazah Sarjana Muda Pengajian Quran dan Sunnah Dengan Kepujian USIM di Darul Quran" for the month of an unspecified date in 2016. It contains the names of 50 students along with their student ID numbers and indicates they are all in the first semester. The class code is listed as SK1362, which stands for Teknologi Maklumat & Komunikasi. The lecturer's name is also provided.
This document contains the results of the NTS admission test held on December 18, 2022. It includes the roll numbers, names, father's names and marks of 160 students who appeared in various papers (NAT-IE, NAT-IM, etc.). The highest marks were 81 and the lowest marks were 23. The document provides a list of student results from the admission test organized by their roll number and test score.
Jadual Tugas Jentera Penggerak Pemilihan Mpp 09Xtreme-C
This document contains a schedule assigning students to monitor election machinery for the MPP 09-10 elections at Kolej Ungku Omar, Universiti Kebangsaan Malaysia from January 23rd to 27th, 2010. It lists the students assigned to different time slots between 10pm-6am on those dates. It requests that students be ready to perform emergency duties if needed outside their scheduled times.
This document is a list of 241 participants for the 2015 thesis defense (skripsi) including their names and registration information. It provides instructions that the dress code is casual but neat with a shirt and shoes, and registration will be open from 7:00-7:30 AM.
This document appears to be a student registration list containing names of male and female students organized by class (Al-Firdaus, An-Naim, etc.) and identifying information such as their identification numbers. There are multiple pages of lists with names in rows and columns identifying the students' class, identification numbers, gender and possible other academic information. The document provides a roster of registered students but does not include any other context or narrative.
This document contains attendance sheets for various subjects of class 4D at an elementary school. It lists the names of 28 students and columns for dates of online and in-person class meetings. There are attendance sheets for mathematics, science, social studies, citizenship education, art and crafts for the first semester. Another sheet lists the students' names without dates, likely for a different subject or semester. The document aims to record class attendance for administrative and evaluation purposes.
This document contains attendance sheets for various subjects like mathematics, science, social studies, and others for class 4D. Each sheet lists the names of 28 students along with columns to mark their attendance on different meeting dates for that subject. Attendance is recorded through both face-to-face meetings and Google Classroom. Separate sheets are provided for each subject to track student attendance over the course of a semester.
This document is a class attendance list for a course titled "Legal Systems in Malaysia" held on 17/09/2013 with 150 students present. It lists each student's matric number, name, and course code. The class was taught by ASMIDAH BINTI AHMAD at 5:19pm and was grouped under KLC2.
The document contains attendance sheets for various subjects like mathematics, science, and social studies for class 4D at an elementary school. It lists the names of 28 students and columns to mark their attendance on different dates for face-to-face or online classes. There are multiple pages that track attendance in the same format for different subjects taught in the semester. The document appears to be collecting class attendance data for administrative purposes.
This document contains a list of 376 registered participants for an event. It includes each participant's name and a unique participant code. The list is alphabetized by participant last name.
This document contains a list of students divided into two sections - PMP PUTRA for male students and PMP PUTRI for female students. Each section lists the students' names in various classes (1-4) and their homeroom teachers. The PMP PUTRA section has 17 students listed across 4 classes and 4 homeroom teachers. The PMP PUTRI section has 15 students listed across 4 classes and 4 homeroom teachers.
The document appears to be a map and list of names related to oil palm plantations in Desa Buket Sudan, Peusangan Siblah Krueng subdistrict, Bireuen regency, Aceh province, Indonesia. It includes the names of many individuals and groups involved with different oil palm plots on the map, which shows the boundaries and locations of the plots. Key details provided are the location, names associated with plots of land, and identification of oil palm and non-oil palm areas.
This document contains 177 entries listing names and identification numbers. Each entry includes 3 names and an identification number. The entries contain names of individuals applying for identification cards in Sylhet, Bangladesh as indicated by the email address provided.
1. The document provides a list of 225 candidates for an interview scheduled for August 1st, 2023 including their IBA seat number, name, IBA marks as reported by the applicant, and other identifying information.
2. The candidates are listed in numerical order by their IBA seat number along with their relevant details such as name, reported IBA marks, father/husband's name, and province.
3. The document serves as the interview schedule for eligible candidates listing their details and organizing them by IBA seat number.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
This document contains attendance sheets for various subjects of class 4D at an elementary school. It lists the names of 28 students and columns for dates of online and in-person class meetings. There are attendance sheets for mathematics, science, social studies, citizenship education, art and crafts for the first semester. Another sheet lists the students' names without dates, likely for a different subject or semester. The document aims to record class attendance for administrative and evaluation purposes.
This document contains attendance sheets for various subjects like mathematics, science, social studies, and others for class 4D. Each sheet lists the names of 28 students along with columns to mark their attendance on different meeting dates for that subject. Attendance is recorded through both face-to-face meetings and Google Classroom. Separate sheets are provided for each subject to track student attendance over the course of a semester.
This document is a class attendance list for a course titled "Legal Systems in Malaysia" held on 17/09/2013 with 150 students present. It lists each student's matric number, name, and course code. The class was taught by ASMIDAH BINTI AHMAD at 5:19pm and was grouped under KLC2.
The document contains attendance sheets for various subjects like mathematics, science, and social studies for class 4D at an elementary school. It lists the names of 28 students and columns to mark their attendance on different dates for face-to-face or online classes. There are multiple pages that track attendance in the same format for different subjects taught in the semester. The document appears to be collecting class attendance data for administrative purposes.
This document contains a list of 376 registered participants for an event. It includes each participant's name and a unique participant code. The list is alphabetized by participant last name.
This document contains a list of students divided into two sections - PMP PUTRA for male students and PMP PUTRI for female students. Each section lists the students' names in various classes (1-4) and their homeroom teachers. The PMP PUTRA section has 17 students listed across 4 classes and 4 homeroom teachers. The PMP PUTRI section has 15 students listed across 4 classes and 4 homeroom teachers.
The document appears to be a map and list of names related to oil palm plantations in Desa Buket Sudan, Peusangan Siblah Krueng subdistrict, Bireuen regency, Aceh province, Indonesia. It includes the names of many individuals and groups involved with different oil palm plots on the map, which shows the boundaries and locations of the plots. Key details provided are the location, names associated with plots of land, and identification of oil palm and non-oil palm areas.
This document contains 177 entries listing names and identification numbers. Each entry includes 3 names and an identification number. The entries contain names of individuals applying for identification cards in Sylhet, Bangladesh as indicated by the email address provided.
1. The document provides a list of 225 candidates for an interview scheduled for August 1st, 2023 including their IBA seat number, name, IBA marks as reported by the applicant, and other identifying information.
2. The candidates are listed in numerical order by their IBA seat number along with their relevant details such as name, reported IBA marks, father/husband's name, and province.
3. The document serves as the interview schedule for eligible candidates listing their details and organizing them by IBA seat number.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
1. Fri Sat Sun Mon Tue
1 2 3 4 5
1 Amirul Afiq bin Yunus 1161469
2 Syarul Azhar bin Murad 1161481
3 Anas Azwar bin Ab Rahim 1161489
4 Afiq Fakhri bin Zulkifli 1161508
5 Muhammad Fahmi bin Arshad 1161524
6 Muhammad Aiman bin Mansor 1161525
7 Nik Ahmad Faheem bin Azmi 1161527
8 Muhammad Mujahid bin Yusup 1161549
9 Shamsul Hilmi bin Sulaiman 1161550
10 Muhammad Yasin bin Zainudin 1161565
11 Ahmad Fairuz bin Nazaruddin 1161567
12 Ahmad Mirza Nabil bin Ismail 1161588
13 Wan Mohd Sofwan bin Mohd Jarir 1161613
14 Ahmad Najmuddeen bin Nasiruddin 1161628
15 Muhammad ‘Abid bin Mohd Mokhtar 1161629
16 Ahmad Shauqy bin Ahmad Zahrullail 1161643
17 Muhammad Hafizuddin bin Sharuddin 1161644
18 Muhammad Syauqie bin Mohamed Rosli 1161653
19 Mohammad Khairul Safwan bin Mohd Aminuddin 1161685
20 Abdul Rashid bin Al Muzmi 1162415
21 Muhammad Ammar Hanif bin Mohd Fauzi 1162433
22 Mohamad Rosyiddin Syafiq bin Mohamad Rosli 1161687
23 Muhammad Yusof Hakimi bin Mohd Kanafiah 1162434
24 Mohd Nur Taufiq bin Jamari 1162425
25 Mohd Iqbal bin Suhaimee 1162408
26 Nik Mohd Farhan bin Nik Mohd Zaini 1162431
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