Moch. Zawaruddin Abdullah

Biography

Moch. Zawaruddin Abdullah combines language technology, data-driven modeling, and software systems for institutional use. His publications include Indonesian text summarization, market prediction using machine learning, and tooling for scholarly platforms such as Open Journal Systems. He forms a strong bridge between software engineering implementation and research-oriented information infrastructure.

Books

• 
  Konsep Teknologi Informasi

  A comprehensive guide to information technology concepts, covering hardware and software fundamentals, computer networks, information systems, and emerging trends such as cloud computing, big data, artificial intelligence, and cybersecurity. Explores IT's role in social, business, and educational transformation.

  View book site ↗
• 
  Perancangan Sistem E-Learning dengan Framework Laravel

  A comprehensive guide to building modern e-learning applications using Laravel, covering system architecture, database management, user authentication, learning content management, and interactive features such as discussion forums, quizzes, and learning progress reports. Uses a practice-based approach with case examples and code snippets.

  View book site ↗
• 
  Pemrograman Web Lanjut (Laravel 10)

  A comprehensive guide for advanced web development using Laravel 10, covering routing, middleware, Eloquent ORM, authentication, and RESTful API project management. Includes case studies, exercises, and code examples focused on best practices and production efficiency.

  View book site ↗

Projects

• SIM-TA - Sistem Informasi Manajemen Tugas Akhir

  Web-based thesis management system for JTI Polinema — digitizes the complete academic workflow from proposal submission, seminar scheduling, online mentoring, to final defense registration. Includes role-based access control, document management, academic period tracking, and a Python-based supervisor recommendation engine.

• Polinema SnapLink

  Official Polinema URL shortener service using the poline.ma domain — helps students, lecturers, and staff share links more concisely and professionally across the campus digital ecosystem.

Expertise

• Multi-document summarization
• Machine-learning-based stock prediction
• Journal systems and scholarly metadata