Portfolio

Selected Work, Essays, Designs, And Journals

A curated collection of web apps, portfolio essays, visual designs, journals, systems, and academic work.

Sistem Monitoring Kinerja dan Penugasan Teknisi Lapangan
Mobile App
107 views
Sistem Monitoring Kinerja dan Penugasan Teknisi Lapangan

The Field Technician Performance Monitoring and Assignment System is a web-based application designed to help companies manage technician tasks in a centralized and structured way. This system provides features for managing technician data, job assignments, assessment criteria, work progress monitoring, and dashboard reporting to track task status and technician performance more effectively. The system supports technician assignment based on several criteria, including technical skills, relevant experience, workload, work safety score, certification, and technician availability. Through this application, administrators can assign the most suitable technician for each task, monitor job progress, and improve operational efficiency, transparency, and documentation. This system was developed using Laravel as the backend framework and MySQL as the database.

Laravel MySQL
Aplikasi Coconut  AI dan IOT (Coal - Co Assistance Nutrient)
Mobile App
85 views
Aplikasi Coconut AI dan IOT (Coal - Co Assistance Nutrient)

Mengembangkan sistem smart agriculture berbasis IoT dan AI yang dirancang untuk menganalisis kondisi tanah pada lahan bekas tambang serta memberikan rekomendasi tanaman yang sesuai berdasarkan parameter nutrisi tanah. Sistem ini mengintegrasikan sensor tanah, cloud database, aplikasi mobile, dan analisis AI untuk mendukung reklamasi lahan berkelanjutan serta penerapan precision agriculture. Project ini dikembangkan sebagai bagian dari Project-Based Learning (PBL) dan berhasil meraih Juara 1 Kategori Poster IoT pada Kompetisi Mahasiswa Informatika Nasional (KMIPN) 2025. • Mengembangkan sistem monitoring tanah berbasis IoT menggunakan ESP32, sensor, dan integrasi data secara real-time. • Membangun fitur aplikasi mobile untuk monitoring tanah, analisis kondisi lahan, dan rekomendasi tanaman. • Mengintegrasikan analisis berbasis AI untuk merekomendasikan tanaman yang sesuai berdasarkan kondisi nutrisi tanah. • Menerapkan Firebase Realtime Database dan sistem pengelolaan data berbasis cloud. • Merancang dashboard interaktif, halaman analisis, dan tampilan rekomendasi pada aplikasi mobile. • Menggunakan teknologi IoT, Artificial Intelligence, Flutter, Firebase, REST API, dan integrasi sensor. • Berkolaborasi dalam tim multidisiplin dengan alur kerja pengembangan berbasis proyek. • Meraih Juara 1 Kategori Poster IoT pada KMIPN 2025 melalui project inovasi “Coal Co-Assistant Nutrient”.

Android Flutter IOT