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All Journal Jurnal IPTEK Bagi Masyarakat Journal of Deep Learning, Computer Vision and Digital Image Processing
Aditya Pratama
Institut Teknologi Sawit Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Mechanical Engineering Physics Public Health Social Sciences

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Pemetaan dan Pengembangan Website Stasiun Kereta Api di Provinsi Sumatera Barat Menggunakan QGIS dan GitHub Rahmad Dian; Maghfirah Maghfirah; Rizky Delianggi; Aditya Pratama
Jurnal IPTEK Bagi Masyarakat Vol 4 No 1 (2024)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jibm.v4i1.909

Abstract

Sumatera Barat adalah provinsi di Indonesia yang memiliki jaringan kereta api sejak zaman kolonial Belanda, dimulai pada tahun 1891. Kehadiran kereta api memiliki peran penting dalam pembentukan kota-kota seperti Padang, Bukittinggi, Payakumbuh, Padang Panjang, dan Sawahlunto. Namun, informasi terkait lokasi dan kondisi stasiun kereta api di provinsi ini masih tersebar di berbagai sumber dan tidak terintegrasi, sehingga menyulitkan akses publik dan penelitian. Penelitian ini bertujuan untuk mengembangkan sistem berbasis WebGIS guna mengintegrasikan data stasiun kereta api di Sumatera Barat. Data geografis stasiun diperoleh dari sumber sekunder dan diproses menggunakan aplikasi QGIS. Sistem ini kemudian diintegrasikan ke dalam situs web dinamis yang dibangun melalui platform GitHub, dengan menggunakan metode pengembangan perangkat lunak mulai dari perancangan hingga implementasi. Hasil dari penelitian ini adalah WebGIS interaktif yang memetakan lokasi stasiun kereta api di Sumatera Barat. Melalui sistem ini, pengguna dapat mengakses informasi terkait lokasi, status operasional, dan sejarah stasiun. Fitur pencarian mempermudah navigasi pengguna dalam menemukan stasiun yang mereka butuhkan. Dengan adanya WebGIS ini, diharapkan dapat mendukung pengembangan infrastruktur berbasis data akurat dan memfasilitasi penelitian lebih lanjut terkait jaringan kereta api di wilayah tersebut.
Development of an Integrated Web-Based Palm Oil Production Monitoring Dashboard Using Laravel at PT Paluta Inti Sawit Aditya Pratama; Raden Aris Sugianto; Andi Prayogi
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 4 Issue 2 June 2026
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/decoding.v4i2.1470

Abstract

Purpose – Data management at PT Paluta Inti Sawit (PT PIS) currently faces efficiency constraints due to fragmented operational data for Fresh Fruit Bunches (FFB), Crude Palm Oil (CPO), and Kernel (PK) stored in scattered spreadsheets. This study aims to design and build an integrated web-based dashboard to centralize monitoring and automate production reporting.Methods – The research employs an applied system development and functional validation design following the Waterfall System Development Life Cycle (SDLC). The system was developed using the Laravel framework and MySQL database, with ApexCharts for near-real-time interactive visualization after data ingestion.Findings – The developed dashboard successfully integrates multi-departmental production data into a single source of truth. Key features include an automated Excel/CSV parser with conflict resolution (skip/overwrite), a two-level role-based verification system (Staff and Manager), and near-real-time KPI tracking for Oil Extraction Rate (OER) and Kernel Extraction Rate (KER) upon data approval. Research implications – This system accelerates the daily reporting cycle and supports data integrity through a digital audit trail, assisting rapid, data-driven managerial decisions.Originality – Unlike previous studies that focus on mobile-only reporting, this system provides a mill-level integrated prototype for synchronized FFB reception and processing yield analytics, minimizing manual recapitulation errors.
Co-Authors Andi Prayogi Maghfirah Maghfirah Raden Aris Sugianto Rahmad Dian Rizky Delianggi