Kelip-Kelip, Kunang-Kunang & Fireflies

Oleh Shahabuddin Amerudin Selain “kelip-kelip” dan “kunang-kunang”, bergantung pada bahasa dan daerah, serangga ini juga dikenali dengan berbagai nama lain. Berikut adalah beberapa contoh nama lain yang mungkin digunakan untuk merujuk kepada serangga dengan kemampuan bioluminesensi: Setiap bahasa dan budaya mungkin memiliki nama khas mereka sendiri untuk serangga dengan cahaya berkedip ini. Kerlipan Kelip-Kelip “Kerlipan kelip-kelip” adalah istilah yang menggambarkan fenomena alami cahaya berkedip-kedip, seperti bintang-bintang di langit malam yang terlihat seperti titik-titik cahaya yang berkedip. Istilah ini sering kali digunakan dalam konteks sastra, puisi, dan lagu untuk menggambarkan suasana malam yang tenang, penuh keindahan dan misteri. Kerlipan kelip-kelip dari […]

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Unveiling the Power of Geospatial Artificial Intelligence (GeoAI) and its Applications

By Shahabuddin Amerudin Introduction The term Geospatial Artificial Intelligence (GeoAI) lacks a universally agreed-upon definition. Initially, GeoAI referred to the utilisation of machine learning tools within Geographic Information Systems (GISs) to predict future scenarios by classifying data. This included disaster occurrence, human health epidemiology, and ecosystem evolution, aimed at bolstering community resilience through traditional geographic information in digital cartography (Esri, 2018). A broader interpretation considers GeoAI as processing Geospatial Big Data (GBD) encompassing various sources, such as digital cartography, remote-sensing-based multidimensional data, and georeferenced texts. The focal point is the geographic dimension (Janowicz et al., 2019. Thus, GeoAI merges AI

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Navigating the Expansive Horizon of Spatial Data Science

By Shahabuddin Amerudin Abstract In recent times, the realm of spatial data science has witnessed an unprecedented surge, propelled by the exponential growth of spatial data and its potential applications across diverse domains. This review article delves into the multifaceted world of spatial data science, spanning its foundational principles, practical applications, inherent challenges, and the evolving research trends that are shaping its trajectory. By exploring the intricate interplay of spatial data, complexities, and novel methodologies, this review aims to provide a holistic understanding of this dynamic and interdisciplinary field. Unveiling the Essence of Spatial Data Science The advent of the

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The Dynamic Potential of Named Entity Recognition (NER) in Extracting and Analyzing Geospatial Data

By Shahabuddin Amerudin Named Entity Recognition (NER), an integral component of Natural Language Processing (NLP), plays a pivotal role in extracting meaningful information from unstructured text. This technique involves the identification and classification of specific entities within text, ranging from names of people and organizations to temporal expressions and geographic locations. The applications of NER are wide-ranging and impactful across diverse industries. In this comprehensive article, we will delve deeper into the mechanics of NER, explore its diverse applications, and focus on a specific use case: geospatial data extraction facilitated by the EntityRecognizer model. The Mechanism Behind NER At its

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Unlocking Textual Insights: The Power and Applications of Named Entity Recognition (NER)

By Shahabuddin Amerudin Named Entity Recognition (NER), often referred to as entity chunking, extraction, or identification, is a vital process in the realm of Natural Language Processing (NLP). It revolves around the identification and classification of crucial information, known as entities, within text. These entities can be single words or phrases consistently referring to the same concept. Through NER, we can automatically categorize these entities into predetermined classes, such as “Person,” “Organization,” “Time,” “Location,” and more. This computational feat yields valuable insights from extensive textual data and finds its application across a plethora of scenarios. The Mechanism Behind NER NER

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Simplifying Automated Building Footprint Extraction with Deep Learning in GIS

By Shahabuddin Amerudin Abstract This paper delves into the realm of geospatial data processing, highlighting the amalgamation of Python scripting and advanced deep learning techniques for object detection. The resulting synergy offers an avenue to streamline complex tasks within this domain. The focus of this work is on the automation of building footprint extraction from aerial imagery using these integrated methodologies. Automated Building Footprint Extraction via Deep Learning Techniques Consider a scenario where the conventional approach of manually delineating building footprints from newly acquired aerial imagery demands weeks of laborious effort. Conversely, a technologically empowered approach leverages Python scripting in

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Beyond Horizons: Mapping the Future with AR, VR, and Boundless Innovation – Part 2

By Shahabuddin Amerudin In the bustling heart of Nusantara, GeoSmart Solutions had transformed into an innovation powerhouse. Ahmad, the visionary System Analyst, was leading a team that had not only revolutionised tree data collection but was now poised to redefine the very landscape of GIS technology. The success of “Geoscape Greens” had unleashed a wave of creativity, propelling the team into uncharted territory. The integration of AR, VR, XR, and MR into the application marked a turning point. As they tinkered with the potential of these technologies, the team realized they were on the cusp of something extraordinary. The world

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Geoscape Greens: A Journey of Innovation and Sustainability – Part 1

By Shahabuddin Amerudin In the vibrant city of Nusantara, nestled between towering skyscrapers and bustling streets, stood the headquarters of GeoSmart Solutions, a leading GIS firm. Among its talented employees was Ahmad, a brilliant System Analyst with a passion for technology, geography, and a penchant for turning ideas into reality. Ahmad was entrusted with leading a remarkable team on an ambitious project: the development of an innovative GIS application that would redefine how tree information was collected, analyzed, and utilized. This application would seamlessly integrate a cloud-based web platform with both iOS and Android mobile devices, enabling users to capture

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GeoAI: Merging Geospatial Data and AI for Enhanced Decision-Making

By Shahabuddin Amerudin Geospatial Artificial Intelligence (GeoAI) is a specialized field that combines geospatial data, which includes geographic information such as location, coordinates, and spatial relationships, with artificial intelligence (AI) techniques to extract valuable insights, patterns, and predictions from spatially referenced data. In essence, GeoAI involves the application of AI algorithms and methodologies to geospatial data to solve complex problems and enhance decision-making in various domains. Key Components of GeoAI Applications of GeoAI Tools and Software Platforms for GeoAI There are several tools and software platforms available for working with GeoAI. These tools offer functionalities for processing, analyzing, visualizing, and

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GeoAI: Unveiling Patterns and Shaping Futures at the Nexus of Geography and Artificial Intelligence

By Shahabuddin Amerudin Introduction In the contemporary era of technological advancements, the amalgamation of artificial intelligence (AI) with geography has ushered in a revolutionary field known as GeoAI. This interdisciplinary domain leverages the prowess of AI to decode intricate patterns concealed within geospatial data, enabling us to predict, analyze, and respond to a spectrum of events and phenomena. From predicting ecological shifts to deciphering human mobility trends, GeoAI stands as a beacon of innovation that reshapes our perception of the world. In this article, we delve deeper into the essence of GeoAI and its multifaceted applications, bringing to light its

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Analisis dan Komen Mengenai Laporan Perkembangan Ekonomi dan Kewangan Malaysia pada Suku Kedua 2023

Oleh Shahabuddin Amerudin Pada tarikh 18 Ogos 2023, Bank Negara Malaysia telah menerbitkan laporan mengenai perkembangan ekonomi dan kewangan Malaysia pada suku kedua tahun 2023. Laporan ini memberikan gambaran yang mendalam mengenai prestasi ekonomi negara dalam tempoh yang diulas. Mari kita lihat secara kritikal dan memberikan komen mengenai beberapa aspek yang diberikan dalam laporan ini. Pertumbuhan Ekonomi yang Sederhana Menurut laporan, ekonomi Malaysia mengalami pertumbuhan sederhana sebanyak 2.9% pada suku kedua tahun 2023. Walaupun pertumbuhan ini lebih rendah berbanding suku pertama tahun yang sama (5.6%), ia masih dianggap memberangsangkan berdasarkan kepada cabaran daripada permintaan luaran yang lebih perlahan. Permintaan domestik

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Free Online Guide: Uploading a Website with PHP and MySQL Database

In this tutorial, the video creator will walk you through the steps of uploading your website with a database for free, without requiring any financial investment. The video creator has previously designed a signup-login website using PHP and MySQL, and now they will illustrate the process of effectively deploying it online. By meticulously adhering to the instructions provided in the video, you can ensure that your website and its associated database are accessible to a global audience. Be assured that individuals with a stable internet connection can easily access your website from various devices such as smartphones and PCs. For

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Steps to Publish an HTML Website Online and Make it Accessible on the Internet

Learn how to put a website online on the Internet for free with GitHub Pages (using a free GitHub Pages domain name). Learn how to buy and set up a custom domain name (like “mywebsite.com”). Learn how to set up HTTPS SSL encryption for free. Sample website you can practice with: https://github.com/SuperSimpleDev/git… Namecheap: Use coupon NEWCOM598 to get a .com domain for $5.98 (33%+ OFF, new accounts only). !!! Note: don’t use the Honey extension because it steals affiliate commissions. !!! https://namecheap.pxf.io/c/3110155/12… If you purchase your first domain name through the link above (without using Honey) Namecheap will give this

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Implikasi dan Pertimbangan Kenaikan Gred Markah 4 dan 9 dalam Sistem Penilaian

Oleh Shahabuddin Amerudin Keputusan untuk menggalakkan pensyarah supaya menaikkan gred markah kursus yang mempunyai angka 4 dan 9 dihujungnya adalah suatu isu yang mempunyai pelbagai sudut pandangan dan pertimbangan. Sebagai contoh, markah keseluruhan pelajar sepanjang semester, iaitu selepas dicampurkan dengan skor kuiz, ujian, tugasan, projek, dan peperiksaan akhir, jika markahnya adalah 64, maka perlu dinaikkan kepada 65. Begitu juga, jika markah pelajar adalah 69, maka perlu dinaikkan kepada 70. Ini akan menjadikan gred markah seolah-olah tidak lagi mempunyai angka 4 dan 9 di dalamnya. Di bawah ini adalah beberapa aspek yang perlu dipertimbangkan dalam situasi ini: Kelebihan Kekurangan Pertimbangan Alternatif

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Cabaran Sikap Pelajar Universiti Terhadap Kemerosotan Pencapaian Akademik di Era Digital

Oleh Shahabuddin Amerudin Dalam era digital yang penuh dengan kemudahan dan akses kepada maklumat, sikap pelajar universiti terhadap pencapaian akademik telah menunjukkan corak yang mencabar. Walaupun pelajar kini mempunyai pelbagai kemudahan dan sokongan untuk berjaya dalam pengajian mereka, namun masih terdapat pelbagai isu yang perlu diberi perhatian bagi mengatasi kemerosotan pencapaian akademik pelajar terbabit. Artikel ini akan membincangkan beberapa isu utama yang telah dinyatakan dalam konteks sikap pelajar universiti pada masa kini terhadap pencapaian akademik mereka. Salah satu isu yang ketara adalah kurangnya usaha dan keengganan pelajar dalam melaksanakan tugasan yang diberikan oleh pensyarah. Sikap ini seringkali merumitkan proses pembelajaran

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Kemerosotan Pencapaian Akademik dan Sikap Pelajar Universiti Pasca Era COVID-19 dan Perintah Kawalan Pergerakan (PKP)

Oleh Shahabuddin Amerudin Pendahuluan Pandemik COVID-19 telah membawa transformasi yang signifikan dalam sistem pendidikan, terutama di peringkat universiti. Era pasca-COVID-19 dan tempoh Perintah Kawalan Pergerakan (PKP) telah memberi kesan mendalam kepada sikap pelajar universiti terhadap pencapaian akademik mereka. Fenomena di mana pelajar kurang berusaha dalam melaksanakan tugasan, kurang hadir ke kuliah, dan suka menangguhkan kerja mengakibatkan kemerosotan pencapaian akademik yang mencemaskan. Terdapat beberapa faktor yang dapat dihubungkan dengan perkembangan ini. Artikel ini membincangkan fenomena kemerosotan dalam pencapaian akademik dan sikap yang kurang berusaha pelajar selepas era COVID-19 dan PKP. Faktor-Faktor yang Mempengaruhi Sikap Pelajar 1. Masalah Kesejahteraan Emosi Pandemik dan

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Pengaruh Anugerah Pencapaian Cemerlang Terhadap Kecemerlangan Staf Lain dalam Konteks Organisasi

Oleh Shahabuddin Amerudin Pemberian anugerah pencapaian cemerlang kepada staf dalam sesebuah organisasi adalah suatu bentuk pengiktirafan terhadap usaha dan pencapaian individu yang luar biasa. Namun, apabila anugerah ini hanya diberikan kepada segolongan tertentu sahaja, terdapat beberapa isu dan implikasi yang perlu dipertimbangkan dalam konteks pengaruhnya terhadap kecemerlangan staf lain di masa hadapan. Di bawah ini adalah beberapa aspek yang perlu dipertimbangkan dalam menjawab soalan ini: Pada keseluruhannya, pengaruh anugerah pencapaian cemerlang kepada staf yang hanya diberikan kepada segolongan tertentu dapat mempengaruhi kecemerlangan staf lain di masa hadapan. Penting untuk menjaga keseimbangan antara memberikan pengiktirafan atas prestasi individu dan memastikan bahawa

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Developing Web Map-Based Applications

By Shahabuddin Amerudin Introduction Web map-based applications have transformed how we interact with geographic information, enabling us to explore, analyze, and visualize data on interactive maps. The development of such applications involves a unique set of challenges and considerations, ranging from selecting mapping libraries to optimizing performance for diverse devices. This article delves into the technical intricacies of creating web map-based applications, discussing mapping libraries, geospatial data integration, user experience, and optimization techniques. Choosing Between the Libraries Selecting the right mapping library is crucial for building effective web map-based applications. Two of the most prominent options are Leaflet and Google

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Choosing Between Physical Servers and Cloud Services for Web-Based Application Development

By Shahabuddin Amerudin Introduction In the rapidly evolving landscape of web-based application development, the decision between deploying applications on physical servers or utilizing cloud services has become a pivotal choice. Both options present their own set of advantages and challenges, ranging from hardware infrastructure and software considerations to costs and management complexities. This article aims to delve into the technical aspects of this decision-making process, analyzing server specifications, cloud services, associated costs, and the level of expertise required for effective management. Physical Servers: Building Your Own Infrastructure Owning a physical server grants you complete control over your infrastructure. You have

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Exploring Firewall Bypass Techniques: Strategies and Countermeasures

Introduction In today’s interconnected world, network security is paramount. Firewalls serve as the frontline defense against cyber threats, safeguarding sensitive data and digital assets from unauthorized access and malicious attacks. However, determined hackers employ a variety of sophisticated techniques to bypass firewalls and compromise networks. This article delves into the methods hackers employ to breach firewall defenses, as well as strategies and countermeasures to fortify network security. Common Firewall Bypass Techniques Strengthening Firewall Defenses: Strategies and Countermeasures Conclusion Firewalls remain a critical component of network security, but the tactics employed by hackers to bypass these defenses are constantly evolving. By

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