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Data Mining: Clustering and Correlation Analysis of Marine Potential: Insights from Capture Fisheries, Coral Reef Quantity, and Plankton Abundance Muhdiantini, Cindy; Fitri Yani, Mega; Auliya Rahman, Ilham; Maryati, Ati
SITEKNIK: Information Systems, Engineering and Applied Technology Vol. 2 No. 1 (2025): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14699240

Abstract

Indonesia, sebagai negara kepulauan dengan wilayah laut yang luas, memiliki potensi besar dalam memanfaatkan sumber daya laut, seperti terumbu karang, mangrove, budidaya, dan penangkapan ikan laut. Pemanfaatan yang berkelanjutan tidak hanya berdampak positif pada ekosistem laut tetapi juga meningkatkan kesejahteraan masyarakat. Untuk mendukung pengelolaan berkelanjutan, diperlukan analisis data mendalam guna mengidentifikasi pola dan hubungan yang relevan. Data mining menjadi alat efektif untuk menggali pola yang tersembunyi, terutama melalui teknik clustering. Analisis clustering dilakukan terhadap data perikanan tangkap, kuantitas terumbu karang, dan kelimpahan plankton guna menemukan kelompok homogen dalam dataset. Proses ini diawali dengan pemilihan data sesuai kriteria, dilanjutkan dengan preprocessing untuk menyaring data redundan. Hasilnya, terdapat tiga cluster utama: cluster 0 berfokus pada terumbu karang, cluster 1 pada jumlah ikan tangkap, dan cluster 2 pada kelimpahan plankton.
Agile-Based Application Architecture Design for Billet Management in Industrial Manufacturing Ramadhani, Rafian; Hizbullah, Fauzi; Auliya Rahman, Ilham; Ahyar Harizillah, M.; Noorachmad Muttaqin, Alif; Saidi Lubis, Fahdi
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 1 (2025): VOLUME 3, NO 1: OCTOBER 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i1.96

Abstract

This study presents the planning and iterative development of an enterprise application architecture for the Billet Stacker Rail system in an aluminum manufacturing environment. The system is designed to enhance the management of billet logistics, including receiving, inspection, stacking, and transfer processes. Using the Agile methodology, particularly the Scrum framework, the development team collaborated closely with operational stakeholders to capture requirements and validate functionality through a series of Sprints. The process included modeling workflows, designing class and entity diagrams, and creating interactive user interface mockups. The system architecture was developed incrementally to support modularity, traceability, and real-time data recording. Each component from billet tracking to user management was prototyped and refined based on continuous feedback. The Agile approach facilitated rapid adjustments to changing requirements, reduced development risk, and supported a user-centered design process. The result is a robust and scalable application blueprint that aligns with the industrial environment’s needs for efficiency, reliability, and transparency in billet management operations.