Pada tanggal 29–30 April 2025, School of Computer Science BINUS University menyelenggarakan dua seminar internasional berturut-turut yang membahas perkembangan di bidang sistem basis data dan natural language processing (NLP). Kedua sesi ini menghadirkan Ts. Dr. Anbuselvan Sangodiah dari Taylor’s University, Malaysia, sebagai pembicara utama.

Seminar pertama yang bertajuk “Relational and Non-Relational Databases in Cloud Platform” dilaksanakan secara daring melalui Zoom dan dimoderatori oleh Said Achmad, S.Kom., M.Kom. dosen SoCS BINUS University. Seminar ini diikuti oleh mahasiswa dari berbagai jurusan yang tertarik pada komputasi awan (cloud computing) dan teknologi basis data.

Dalam presentasinya, Dr. Anbuselvan mengulas secara komprehensif arsitektur basis data relasional dan non-relasional (NoSQL), serta penerapannya di platform cloud. Ia menyoroti keunggulan basis data relasional dalam menjaga konsistensi data terstruktur, dan fleksibilitas NoSQL dalam menangani data tidak terstruktur. Seminar ini juga menampilkan studi kasus menggunakan Azure Cosmos DB, layanan basis data multi-model dari Microsoft.

Seminar kedua yang berlangsung pada hari berikutnya mengangkat topik “Text Classification from Traditional to Deep Learning Models” dan dimoderatori oleh Rilo Chandra Pradana, S.Si., M.Kom. dosen SoCS BINUS University. Seminar ini menarik perhatian mahasiswa dan dosen yang mendalami bidang NLP dan pembelajaran mesin (machine learning).

Dr. Anbuselvan membahas evolusi metode klasifikasi teks, dimulai dari pendekatan tradisional seperti Support Vector Machines (SVM) dan Decision Trees, hingga model deep learning seperti LSTM (Long Short-Term Memory) dan CNN (Convolutional Neural Networks). Ia juga memperkenalkan teknik representasi kata, mulai dari bag-of-words hingga Word2Vec dan GloVe, yang mampu menangkap makna semantik dan konteks dalam data teks.

Kedua seminar ini memberikan pemahaman mendalam, baik dari sisi teori maupun aplikasi praktis, serta membuka wawasan peserta terhadap praktik industri terkini. Seminar ini menunjukkan komitmen BINUS University dalam mendukung kolaborasi internasional dan meningkatkan kapabilitas mahasiswa di bidang teknologi terkini.

International Seminars: Exploring Cloud Databases and Text Classification

On April 29–30, 2025, School of Computer Science BINUS University held two back-to-back international seminars that addressed key advancements in database systems and natural language processing. Both sessions featured Ts. Dr. Anbuselvan Sangodiah from Taylor’s University, Malaysia, as the speaker.

The first seminar, “Relational and Non-Relational Databases in Cloud Platform,” was held virtually via Zoom and moderated by Said Achmad, S.Kom., M.Kom. a lecturer at BINUS University. The session attracted participants from across departments, especially those interested in cloud computing, database technology, and data management.

Dr. Anbuselvan delivered a detailed overview of both relational and non-relational database architectures, highlighting their respective advantages and use cases within cloud-based environments. The talk emphasized the structured integrity of relational databases and the scalability and flexibility of NoSQL systems when handling unstructured or semi-structured data. The session also featured practical demonstrations using Azure Cosmos DB, introducing students to real-world tools widely used in enterprise cloud infrastructure.

The second seminar, titled “Text Classification from Traditional to Deep Learning Models,” was held on the following day and moderated by Rilo Chandra Pradana, S.Si., M.Kom. a lecturer at BINUS University. This session brought together students and faculty members keen on exploring the latest in natural language processing (NLP) and machine learning.

Dr. Anbuselvan walked participants through the evolution of text classification—from traditional machine learning approaches such as Support Vector Machines (SVM) and Decision Trees, to advanced deep learning models including LSTM (Long Short-Term Memory) and CNN (Convolutional Neural Networks). The seminar also explored word representation techniques, comparing bag-of-words models with modern embeddings like Word2Vec and GloVe. Participants gained insight into how these models capture semantic meaning and context within textual data, enabling more accurate classification.

Both seminars were highly interactive, providing students not only with theoretical foundations but also exposure to practical applications and current industry practices. These events reflect BINUS University’s ongoing commitment to international academic collaboration and advancing student expertise in cutting-edge technology.