Teaching

professional GIS

Pendidikan dan Latihan sebagai Keperluan untuk Profesionalisme dalam Bidang GIS

By • • Knowledge, Other, Public, Teaching • , , , , • 4 minutes of reading

Pindaan Rang Undang-Undang Juruukur Tanah Berlesen (Pindaan) 2024 membawa perubahan besar dalam pendidikan dan latihan dalam bidang Sistem Maklumat Geografi (GIS). Pindaan ini memperkenalkan keperluan piawaian dan pengawalan yang lebih ketat, yang memberi kesan langsung kepada individu dan organisasi yang terlibat dalam kerja-kerja GIS, termasuk mereka yang hanya mengikuti kursus pendek dalam tempoh satu hingga tiga hari, atau beberapa minggu berbanding dengan pendidikan formal yang mengambil masa sehingga empat tahun. Kursus pendek sering digunakan untuk memperkenalkan konsep asas atau kemahiran praktikal dalam GIS kepada profesional yang ingin meningkatkan kemahiran mereka dengan cepat. Namun, dengan adanya pindaan undang-undang ini, timbul keperluan […]

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GIS man

Pindaan Rang Undang-Undang Juruukur Tanah Berlesen (Pindaan) 2024: Implikasi kepada Industri GIS dan Geospatial

By • • Other, Public, Teaching • , , , , , , • 3 minutes of reading

Pindaan Rang Undang-Undang Juruukur Tanah Berlesen (Pindaan) 2024 yang baru sahaja dibentangkan di Parlimen membawa beberapa kesan penting terhadap pelbagai bidang yang melibatkan kerja-kerja geomatik, termasuk Sistem Maklumat Geografi (GIS) dan geospatial. Walaupun pindaan ini secara langsung mensasarkan pengawalan ke atas kerja-kerja ukur tanah yang dilakukan oleh juruukur tanah berlesen, ia turut membawa implikasi penting kepada individu dan organisasi yang terlibat dalam industri GIS dan geospatial. Peningkatan Piawaian dan Pengawalan Salah satu impak utama daripada pindaan ini ialah penguatkuasaan piawaian yang lebih tinggi terhadap data geomatik yang dikendalikan oleh Jabatan Ukur dan Pemetaan Malaysia (JUPEM). Pindaan ini menekankan bahawa hanya

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GIS

Kesan Pindaan Rang Undang-Undang Juruukur Tanah Berlesen (Pindaan) 2024 kepada Individu dan Organisasi Berkaitan GIS dan Geospatial

By • • Knowledge, Other, Public, Teaching • , , , • 3 minutes of reading

Pindaan Rang Undang-Undang Juruukur Tanah Berlesen (Pindaan) 2024 membawa beberapa perubahan penting yang tidak hanya mempengaruhi juruukur tanah berlesen, tetapi juga memberi kesan signifikan kepada individu dan organisasi yang terlibat dalam kerja-kerja Sistem Maklumat Geografi (GIS) dan geospatial. Artikel ini membincangkan kesan utama pindaan tersebut kepada bidang GIS dan geospatial serta implikasinya terhadap amalan industri. Peningkatan Piawaian Data Geospatial Salah satu kesan utama pindaan ini adalah peningkatan piawaian dalam pengumpulan dan pengurusan data geospatial. Pindaan ini menetapkan syarat yang lebih ketat bagi data geomatik yang disimpan oleh Jabatan Ukur dan Pemetaan Malaysia (JUPEM). Data geospatial yang diperoleh melalui kerja ukur

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surveyor

Rang Undang-Undang Juruukur Tanah Berlesen (Pindaan) 2024: Ringkasan dan Analisis

By • • Knowledge, Public, Teaching • , , , , , • 4 minutes of reading

Ringkasan RUU Juruukur Tanah Berlesen (Pindaan) 2024 Pindaan Akta ini mencerminkan usaha kerajaan untuk memastikan bidang ukur geomatik di Malaysia berkembang selari dengan perubahan teknologi dan meningkatkan tahap profesionalisme dalam kalangan JTB. Analisis RUU Juruukur Tanah Berlesen (Pindaan) 2024 RUU Juruukur Tanah Berlesen (Pindaan) 2024 bertujuan untuk memperbaharui Akta Juruukur Tanah Berlesen 1958 agar selaras dengan perkembangan teknologi dan keperluan semasa dalam bidang geomatik. Perubahan utama dalam pindaan ini termasuk perluasan skop kerja Juruukur Tanah Berlesen (JTB), yang kini dibenarkan untuk melakukan pelbagai jenis pengukuran geomatik dan bukan hanya terhad kepada ukur hak milik tanah. Pengakuan profesionalisme turut dipertingkatkan dengan

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GeoAI and planning

Advancing Urban Planning with GeoAI through Global Street Network Analysis

By • • Jurnal, Knowledge, Project, Research, Teaching • , , , , • 7 minutes of reading

By Shahabuddin Amerudin Introduction Geographic Artificial Intelligence (GeoAI) integrates Geographic Information Systems (GIS) with artificial intelligence (AI), offering advanced capabilities for urban planning and development. This convergence allows for a more nuanced understanding of spatial dynamics and provides tools to address complex urban challenges. By harnessing GeoAI, urban planners can optimize infrastructure, manage resources more efficiently, and create sustainable urban environments. This article delves into how GeoAI can be applied to enhance city planning by analyzing street network configurations across different global cities. Understanding GeoAI GeoAI represents the intersection of spatial data analysis and AI technologies, including machine learning and

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network

Leveraging GIS for Enhanced Urban Planning Insights from Global Street Networks

By • • Knowledge, Project, Research, Teaching • , , , • 5 minutes of reading

By Shahabuddin Amerudin Introduction Geographic Information Systems (GIS) have become indispensable tools in urban planning, offering the capability to analyze spatial data and derive actionable insights for optimizing city layouts. By examining street network configurations from various global cities, GIS technologies can be leveraged to address urban planning challenges, improve infrastructure, and enhance overall city functionality. This discussion explores how GIS can be applied to different street network patterns, taking into account both historical and contemporary planning strategies. 1. Street Network Analysis and Planning 1.1. Grid vs. Organic Patterns GIS technologies provide robust methods for analyzing the efficiency and effectiveness

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Configurations of street networks in densely populated cities

The Influence of Street Network Configurations on Urban Planning and Population Dynamics

By • • Jurnal, Knowledge, Project, Research, Teaching • , , , , • 10 minutes of reading

By Shahabuddin Amerudin Introduction Urban planning is a multifaceted discipline that orchestrates the development and organization of cities to optimize functionality, sustainability, and livability. A fundamental component of urban planning is the design and configuration of street networks, which serve as the skeletal framework of urban spaces. Street networks not only facilitate transportation and connectivity but also profoundly influence land use patterns, economic activities, social interactions, and environmental outcomes (Hillier & Hanson, 1984; Marshall, 2005). The interplay between street network configurations and city populations is intricate, reflecting historical contexts, geographical constraints, and evolving urban development philosophies. This article delves into

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data science and GIS

Integrating GIS with Data Science

By • • Research, Teaching • , , • 5 minutes of reading

Introduction Data science is an interdisciplinary field focused on extracting meaningful insights and knowledge from data using a combination of scientific methods, algorithms, and systems. This field merges principles from statistics, computer science, and domain-specific expertise to analyze and interpret vast and complex datasets. The exponential growth in data availability, along with advances in computational capabilities, has made data science a cornerstone in decision-making processes across various sectors such as business, healthcare, and finance. According to Davenport and Patil (2012), data scientists have been recognized as holding the “Sexiest Job of the 21st Century,” a testament to the growing importance

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Analyzing the Heatmap of Trent Alexander-Arnold vs. Leeds United Understanding the Heatmap

Analyzing the Heatmap of Trent Alexander-Arnold vs. Leeds United

By • • Knowledge, Other, Research, Teaching • , , , , • 2 minutes of reading

By Shahabuddin Amerudin The heatmap serves as a visual representation of the areas on the football pitch where Trent Alexander-Arnold was most active during the match against Leeds United. The intensity of the color on the map reflects the frequency of his presence in specific regions, with warmer colors such as red and orange indicating higher levels of activity, and cooler colors like blue and green suggesting lower levels. As expected for a right-back, Alexander-Arnold’s heatmap is predominantly concentrated on the right side of the pitch, revealing his primary role in the defensive third. He also occasionally advances into the

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boids simulation

Boids Algorithm for Simulating Crowd Movement in Urban Planning and Disaster Management

By • • Jurnal, Knowledge, Project, Public, Research, Teaching • , , , , , • 14 minutes of reading

By Shahabuddin Amerudin Abstract The ability to accurately simulate crowd movement during emergencies is critical in urban planning and disaster management, as it helps design effective evacuation strategies and minimizes the potential for casualties. The Boids algorithm, initially developed to replicate the flocking behavior of birds, provides a versatile framework for modeling the dynamics of crowd movement. This paper explores the application of the Boids algorithm in simulating crowd movement during emergency situations such as floods, analyzing its strengths and limitations. Supported by a comprehensive literature review, this discussion examines the algorithm’s effectiveness in various scenarios, its potential for integration

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cellular automota

Penggunaan Automata Selular dalam Sistem Maklumat Geografi (GIS)

By • • Knowledge, Teaching • , , , • 3 minutes of reading

Oleh Shahabuddin Amerudin Automata selular adalah model matematik yang digunakan untuk memodelkan sistem yang terdiri daripada entiti individu yang berinteraksi mengikut peraturan mudah tetapi menghasilkan tingkah laku kompleks. Konsep automata selular pertama kali diperkenalkan pada tahun 1940-an oleh ahli fizik Stanislaw Ulam dan ahli matematik John von Neumann. Pada asasnya, automata selular terdiri daripada grid sel yang setiap satunya boleh berada dalam salah satu daripada beberapa keadaan, dan keadaan ini dikemaskini secara serentak berdasarkan keadaan sel-sel bersebelahan menurut peraturan yang ditetapkan. Prinsip Asas Automata Selular Prinsip asas automata selular melibatkan grid dua dimensi di mana setiap sel boleh berada dalam

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cabaran PSM UTM

Pengkategorian Tahap Cabaran Projek Sarjana Muda dalam Bidang GIS

By • • Knowledge, Project, Research, Teaching • , , • 6 minutes of reading

Oleh Shahabuddin Amerudin Dalam bidang Geographic Information Systems (GIS), Projek Sarjana Muda (PSM) boleh dikategorikan mengikut tahap cabaran, iaitu rendah, sederhana, dan tinggi. Memahami perbezaan antara tahap cabaran ini adalah penting untuk membantu pelajar memilih topik yang sesuai dengan kemahiran dan minat mereka serta mencapai hasil yang lebih memuaskan. Berikut adalah penjelasan mendalam mengenai setiap tahap beserta contoh yang relevan. Tahap Cabaran Rendah Tahap cabaran rendah dalam PSM GIS melibatkan tugas-tugas asas yang memfokuskan kepada pembangunan pangkalan data dan pengumpulan data geospatial. Projek pada tahap ini biasanya merangkumi beberapa aktiviti berikut: Tahap Cabaran Sederhana Tahap cabaran sederhana melibatkan analisis yang

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diskusi

Projek Sarjana Muda dalam Bidang GIS: Pilihan dan Tahap Kesukaran

By • • Knowledge, Research, Teaching • , , • 7 minutes of reading

Oleh Shahabuddin Amerudin Dalam bidang Geographic Information Systems (GIS), Projek Sarjana Muda (PSM) boleh dikategorikan mengikut tahap kesukaran, dari yang tinggi hingga sederhana. Memahami perbezaan antara tahap-tahap ini membantu pelajar membuat pilihan yang lebih sesuai dengan kemahiran dan minat mereka. Projek tahap tinggi melibatkan penggunaan teknik dan teknologi yang lebih kompleks. Ini termasuk aplikasi model matematik, simulasi, dan penginderaan jauh yang memerlukan pemahaman mendalam mengenai teori GIS dan algoritma analisis. Projek pada tahap ini sering memerlukan kemahiran pengaturcaraan yang lebih maju, seperti dalam bahasa Python atau R, serta penggunaan perisian GIS khusus seperti ArcGIS Pro atau ENVI. Pelajar perlu membangunkan kod

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university student

Key Traits for Success in GIS Final Year Projects

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By Shahabuddin Amerudin A Final Year Project, especially in the field of Geographic Information Systems (GIS), is a crucial milestone that demands a blend of technical expertise, critical thinking, and a range of personal qualities. Success in these projects isn’t just about technical skills; it’s about how students leverage their traits and strategies to overcome challenges. In this article, we’ll explore the essential traits that GIS students need to excel in their projects, while also examining the impact of these traits through practical examples. 1. Diligence and Intelligence: Navigating Geospatial Data Wisely Diligence is foundational in GIS, particularly when dealing

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pelajar universiti

Ciri-Ciri Pelajar Cemerlang dalam Projek Sarjana Muda

By • • Project, Public, Research, Teaching • , , , , • 4 minutes of reading

Oleh Shahabuddin Amerudin Projek Sarjana Muda (PSM) merupakan langkah terakhir dan paling kritikal dalam perjalanan akademik seorang pelajar di peringkat ijazah sarjana muda di universiti. Ia adalah satu projek yang bukan sahaja menuntut pelajar untuk menerapkan segala pengetahuan yang telah dipelajari, tetapi juga memerlukan pelajar untuk menunjukkan pelbagai ciri yang mampu menjamin kejayaan mereka. Dalam artikel ini, kita akan meneliti ciri-ciri utama yang diperlukan oleh pelajar untuk berjaya dalam PSM serta bagaimana ciri-ciri ini boleh dioptimumkan untuk menghasilkan hasil kerja yang cemerlang. 1. Rajin dan Bijak: Dua Sisi yang Sama Rajin adalah asas kejayaan dalam PSM. Pelajar yang rajin sentiasa

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pelajar universiti

Kunci Kejayaan dalam Projek Sarjana Muda: Sifat dan Sokongan yang Diperlukan

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Oleh Shahabuddin Amerudin Projek Sarjana Muda (PSM) adalah satu batu loncatan penting dalam perjalanan akademik seorang pelajar di universiti. Ia bukan sekadar satu tugasan akhir, tetapi merupakan manifestasi kebolehan pelajar dalam menyerap ilmu, mengaplikasikan pengetahuan, dan menyumbang kepada bidang kajian mereka. Untuk berjaya dalam PSM, terdapat beberapa ciri penting yang perlu ada dalam diri pelajar, serta sokongan yang boleh diharapkan dari penyelia. Sifat-Sifat Pelajar yang Cemerlang Pertama sekali, sifat rajin adalah asas kepada kejayaan dalam PSM. Rajin di sini bukan hanya bermaksud kerap melakukan tugasan, tetapi juga tekun dan konsisten dalam usaha mencapai objektif kajian. Namun, mempunyai sifat rajin sahaja

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Student-Supervisor Matching Application

Development of a Web-Based Application for Matching Students with Supervisors Using a Weighted Scoring Algorithm

By • • Knowledge, Project, Research, Teaching • , , , , • 4 minutes of reading

By Shahabuddin Amerudin Abstract This paper presents the development of a web-based application designed to automate the matching process between students and supervisors. The application leverages a weighted scoring algorithm to evaluate compatibility based on various academic and professional criteria. The system aims to improve the efficiency and fairness of assigning supervisors by using a data-driven approach. The implementation involves PHP for server-side logic, JavaScript for client-side interaction, and JSON for data storage. This paper provides an overview of the development process, details of the algorithm, and examples demonstrating the application’s functionality. Introduction The process of assigning students to supervisors

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The Student-Supervisor Matching Application

Developing an Automated Student-Supervisor Matching System for Academic Institutions: A Case Study

By • • Project, Research, Teaching • , , , , , , • 4 minutes of reading

By Shahabuddin Amerudin Abstract The allocation of supervisors to students for research guidance is a critical process in academic institutions, particularly at the undergraduate level. This paper presents the development of an automated matching system designed to streamline the process of assigning students to supervisors based on their research interests and competencies. The system leverages JSON-based data storage and a weighted matching algorithm implemented in PHP, ensuring that the matching process is efficient, transparent, and data-driven. The study discusses the system’s design, implementation, and potential impact on academic administration. 1. Introduction The process of matching students with supervisors is often

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spatial computing

Spatial Computing: The Next AI-Driven Business Revolution

By • • Knowledge, Research, Teaching • , • 5 minutes of reading

By Shahabuddin Amerudin Spatial computing is rapidly emerging as a revolutionary force in the business world, merging cutting-edge technologies like artificial intelligence (AI), extended reality (XR), and computer vision to create immersive, interactive environments that bridge the physical and digital realms. This advanced form of computing enables businesses to visualize, simulate, and interact with data in unprecedented ways, enhancing everything from operations and decision-making to customer experiences. The Paradigm Shift in Human-Computer Interaction Spatial computing represents a significant departure from traditional human-computer interactions. Instead of relying on 2D screens and interfaces, spatial computing introduces a 3D-centric approach where virtual and

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© 2025 Justine Blanford

The Role of Geospatial Technology in Health Communication and Disease Ecology

By • • Research, Teaching • , , , • 4 minutes of reading

By Shahabuddin Amerudin Introduction In contemporary society, the integration of geospatial technology into public health practices offers unprecedented opportunities for improving health outcomes. This paper explores a comprehensive framework that leverages geospatial technologies to enable effective communication of health information, timely interventions, and a deep understanding of disease ecology (Blanford, 2025). The framework is segmented into four key components: a geospatially enabled society, communication of health information, responsive interventions, and an ecosystem of geospatial tools for understanding disease ecology. Each component is critical in addressing health risks and enhancing public health strategies. A Geospatially Enabled Society A geospatially enabled society

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