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All Journal JRIIN :Jurnal Riset Informatika dan Inovasi AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
Mohamad Yudha Mauluda
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Penerapan Sistem Informasi Dalam Membantu Kegiatan Stok Opname Barang Store Paris Baguette Puri Mall Teti Desyani; Refli Wijaya; Mohamad Yudha Mauluda; Muhammad Rizal Abdul Aziz
Jurnal Riset Informatika dan Inovasi Vol 2 No 5 (2024): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

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Abstract

This report discusses the implementation of an information system to assist stock opname of goods at Store Paris Baguette Puri Mall. Currently, the stock opname process is still carried out manually by writing it down in a large book that is stored on the kitchen shelf. This causes several inefficiencies, such as: Slow and time-consuming process: Recording stock opname manually takes a long time and is prone to errors, unsafe data: Stock opname ledgers are stored on kitchen shelves that are not secure and easily lost or damaged, data is difficult to find: Searching for stock opname data in ledgers takes a lot of time and effort. Therefore, this study aims to implement a web-based or mobile application information system to assist the stock opname process at Store Paris Baguette Puri Mall. This system is expected to:Increase the efficiency of the stock opname process: This system can help speed up the stock opname process and minimize errors, improve data security: Stock opname data is stored securely in a database and can be easily accessed, make data retrieval easier: Stock opname data can be easily and quickly searched through the system. It is hoped that with the implementation of this information system, the performance of Store Paris Baguette Puri Mall will be better and can save time and costs.
Face Deteksi Objek pada Gambar dan Video dengan YOLOv8 (Counting Objects) Ajeng Tessa Ningrum; Refli Wijaya; Muhammad Rizal Abdul Aziz; Mohamad Yudha Mauluda; Perani Rosyani
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 2 No. 2 (2024): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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Abstract

Perhitungan deteksi objek pada gambar dan video adalah bidang penting dalam computer vision dengan berbagai aplikasi, termasuk pengawasan keamanan, analisis lalu lintas, dan manajemen inventaris. Penelitian ini menggunakan algoritma YOLOv8 (You Only Look Once version 8) untuk mendeteksi dan menghitung objek dalam gambar dan video. YOLOv8 dikenal karena kecepatan dan akurasinya. Penelitian ini mengevaluasi kinerja YOLOv8 dalam berbagai kondisi pencahayaan, ukuran objek, dan latar belakang. Hasilnya menunjukkan bahwa YOLOv8 mampu mendeteksi dan menghitung objek dengan akurasi tinggi dan pemrosesan real-time yang efektif. Penelitian ini berkontribusi pada pengembangan teknologi deteksi objek yang lebih efisien dan akurat.
Co-Authors Ajeng Tessa Ningrum Muhammad Rizal Abdul Aziz Perani Rosyani Refli Wijaya Teti Desyani