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All Journal PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Repeater: Publikasi Teknik Informatika dan Jaringan Jurnal Sistem Informasi dan Ilmu Komputer
Trisatin Panggabean
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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PERANCANGAN SISTEM INFORMASI DISPOSISI SURAT MASUK BERBASIS WEB PADA KANTOR BADAN PENDAPATAN DAERAH KOTA MEDAN Salsabila Yusra; Sri Ratna Dewi; Trisatin Panggabean; Aidil Halim Lubis
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 11 No. 1 (2024): Prosisko Vol. 11 No. 1 Maret 2024
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/prosisko.v11i1.8105

Abstract

Teknologi informasi sangat diperlukan untuk menunjang proses kerja dan pelayanan masyarakat. Salah satu jenis teknologi informasi yang digunakan pada instansi pemerintah adalah website. Setiap perusahaan atau instansi memiliki berbagai sarana yang dapat membantu instansi memberitahukan informasi kepada pihak lain. Salah satunya dengan menggunakan surat. Penerimaan dan disposisi surat merupakan layanan masyarakat yang harus ditingkatkan pada Badan Pendapatan Daerah Kota Medan. Maksud dari riset ini adalah menciptakan sebuah platform berbasis web yang dapat mempermudah atasan dalam mengirimkan surat kepada bawahannya. Proses disposisi ini akan mengirimkan pemberitahuan kepada karyawan terkait dan memungkinkan pengguna untuk mengaksesnya secara langsung melalui sistem informasi berbasis situs web. Pada penelitian ini, peneliti merancang teknologi informasi seperti sistem informasi berbasis web untuk menjadi solusi dalam mengatasi kendala pengelolaan surat secara manual serta membantu Meningkatkan efisiensi dan produktivitas dalam memproses surat masuk dan disposisi menjadi fokus utama dalam penelitian ini. Pendekatan yang diambil melibatkan pemanfaatan metode kualitatif dan penerapan metode pengembangan waterfall.
Deteksi Tepi Sederhana Pada Citra Menggunakan Operator Sobel Supiyandi Supiyandi; Trisatin Panggabean; Nuzul Ramadhan; Sri Ratna Dewi; Salsabila Yusra
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 3 (2024): Juli : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i3.90

Abstract

implemented and evaluated the edge detection method using the Sobel Operator, which calculates the gradient of image intensity through two convoluted kernels for horizontal (Gx) and vertical directions. (Gy). The magnitudo gradient is obtained from the combination of both such directional gradients to represent the edge force on each pixel. The main steps include image pre-processing, the application of the Sobel kernel, the calculation of magnitudo gradients, and the filtering of results to extract significant edges. The results show that the Sobel Operator is effective in highlighting intensity differences that indicate the boundary of the object, although it is sensitive to noise and less accurate for fine edges. Despite its limitations, this method is simple to implement and useful as an initial step in image processing applications such as segmentation, pattern identification, and object shape analysis.
Penerapan Komputer dalam Identifikasi Barang di E-Commerce Berbasis AI Trisatin Panggabean; Salsabila Yusra; Sri Ratna Dewi
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 1 (2025): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i1.4455

Abstract

This research explores the implementation of computer vision technology in AI-based e-commerce platforms to enhance product identification and improve user experience. The study specifically examines the use of deep learning algorithms, particularly Convolutional Neural Networks (CNN), to automate product recognition and classification. The results indicate that AI-driven image search features significantly increase the speed and accuracy of product search, leading to greater customer engagement. However, challenges such as the need for high-quality datasets, varying image quality, and high initial investment costs were identified as barriers to effective implementation. The findings suggest that overcoming these obstacles can lead to improved operational efficiency and customer satisfaction. The success of AI in e-commerce depends on robust infrastructure, data quality, and skilled workforce training.
Co-Authors Aidil Halim Lubis Nuzul Ramadhan Salsabila Yusra Sri Ratna Dewi Supiyandi Supiyandi