Tony Tony
Universitas Tarumanagara

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PERANCANGAN DAN IMPLEMENTASI APLIKASI MOBILE PENGELOLAAN PRODUKSI PADA PT SAHABAT MAKMUR ABADI Jennifer Jennifer; Jap Tji Beng; Tony Tony; Winni Setiawati
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 6 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/jwhbh116

Abstract

PT Sahabat Makmur Abadi adalah usaha mikro, kecil, dan menengah (UMKM) yang memproduksi dan menjual sepatu melalui sistem konsinyasi di toko-toko ritel di wilayah Jakarta Raya. Saat ini, perusahaan mencatat proses produksi dan hasil produksinya secara manual, yang seringkali menyebabkan kesalahan seperti tanggal produksi yang salah, jumlah yang tidak akurat, dan pelaporan cacat produk. Studi ini bertujuan untuk mengembangkan aplikasi mobile guna mengotomatisasi manajemen produksi dan meminimalkan kesalahan-kesalahan tersebut. Aplikasi ini dirancang menggunakan model implementasi Waterfall berdasarkan metode System Development Life Cycle (SDLC). Pengembangan dilakukan menggunakan bahasa pemrograman Dart dan kerangka kerja Flutter, dengan penyimpanan data terintegrasi ke dalam basis data PostgreSQL. Hasil penelitian ini adalah sistem manajemen produksi berbasis mobile yang beroperasi di platform mobile. Sistem ini memungkinkan pencatatan produksi yang lebih akurat, pengambilan data yang lebih mudah, dan pengendalian proses produksi yang lebih baik bagi pemangku kepentingan PT Sahabat Makmur Abadi. Penelitian ini menyediakan solusi inovatif dengan menciptakan aplikasi seluler untuk proses manajemen produksi perusahaan manufaktur kecil, meningkatkan efisiensi, akurasi, dan aksesibilitas data. Kata Kunci: Produksi, UMKM, Efisiensi, Manajemen, Automasi.
Utilizing ORB Algorithm in Web-Based Sales Application Edward Brainard Pranata; Tony Tony
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.671

Abstract

E-commerce has become common and important for businesses, but Jaya Sentosa Store has not implemented it. E-commerce commonly has only a search by keyword feature, but that cannot replicate Jaya Sentosa Store order process. An image-based search is needed to replicate the order process. Our research purpose is to develop a web-based sales application and an image search feature for Jaya Sentosa Store. We apply Scrum when developing this application. We use Javascript (JS) programming language. Back-end and front-end development employ Express JS and React JS framework, respectively. To get the right feature-matching algorithm, we conduct a test between the SIFT, KAZE, and ORB algorithms. We write Python scripts to implement ORB algorithm in image-based search feature. Our test shows that the ORB algorithm has the fastest average running time, i.e., 3.415 s, compared to SIFT and KAZE. Black box testing of the sales application shows that all cases are valid. It means that our application can replicate Jaya Sentosa Store order process and gain a competitive advantage.
Utilizing ROP in a Mobile Based Warehouse Management System for Small Retail Businesses Winni Setiawati; Jap Tji Beng; Tony Tony
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1326

Abstract

ABC Store, a wholesale sock retailer, operates through both physical and online platforms. With increasing online sales, the company has experienced frequent stockouts due to inefficient manual inventory processes. This study aims to address these challenges by developing a mobile-based Warehouse Management System (WMS) integrated with a Reorder Point (ROP) calculation. The system was developed using the V-Shaped model, which involved requirement gathering through interviews and warehouse observations. The application was built using the lightweight Flutter framework and an SQLite local database, with testing including white-box, black-box, and User Acceptance Testing (UAT). Additionally, QR code scanning was implemented to improve document tracking and inventory management. The results indicate that the system functions as expected, with the ROP calculation effectively supporting restocking decisions and minimizing stockouts. This study contributes to the field by demonstrating the practical application of integrating simplified ROP calculation into a mobile-based WMS, highlighting its potential to improve warehouse operations for small businesses with limited infrastructure. The approach offers a scalable solution for managing inventory efficiently and cost-effectively, especially in small-scale retail settings.