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  • Published External Link

    Leveraging Headless CMS as a Service in a Service-Based Architecture

    Microservices and service-oriented architecture have acquired widespread recognition in recent years as efficient solutions for building scalable, resilient, and simple-to-maintain software systems. Although they offer an optimal solution for large organizations with intricate and dynamic systems, their suitability for startups may be uncertain because of the constraints a new company may encounter, such as budget and human resources. Hence, the architectural design should be modified following the specific requirements of the company in question. This case study focused on building a service-based architecture that would address a new company'ss constraints while still emphasizing the application's user experience. We implemented this service-based architecture by utilizing a headless content management system and building additional reusable services using the plugin and database feature of the content management system. This architecture allowed developers to accelerate and simplify the development of the company's backend services, enabling a focus on improving features impacting user experience. In our resulting architecture, each service operated on its own, with distinct responsibilities, lowering the reliance on one backend. This architecture also improved the website's performance, as shown by a fast response time, high throughput, and an overall good load speed.

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    Membuat Situs Web Menjadi Lebih Cepat Diakses dengan Caching

    Semua orang yang pernah membuat serta mengurus sebuah situs web pasti memiliki beberapa keprihatinan akan hal yang sama, yang pertama adalah keamanan dan yang kedua adalah kecepatan akses. Bagi beberapa situs web, terutama situs web-situs web e-commerce, kecepatan akses situs web sangat penting apalagi di event-event khusus.

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    Preview for Segmentasi Semantik untuk Klasifikasi Citra

    Segmentasi Semantik untuk Klasifikasi Citra

    Segmentasi semantik adalah proses klasifikasi setiap piksel dari sebuah citra sebagai sebuah label kelas untuk memahami citra dalam tingkat per piksel. Label kelas yang yang dimaksud adalah kelas objek, seperti rumah, buku, manusia, dan lain-lain.