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All Journal Electronic Journal of Education, Social Economics and Technology The Indonesian Journal of Computer Science
Raharja, Annisa Amalia
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Optimizing Swarm UAV Scheduling for Efficiency in Complex Operations and Collision Avoidance: Optimized Scheduling Strategies for Swarm UAVs in High-Density Airspace Raharja, Annisa Amalia
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4402

Abstract

The use of drones or Unmanned Aerial Vehicle (UAVs) has rapidly evolved across various civil, public, and military applications over the past two decades. Military UAVs have long been used for border surveillance, while civilian UAVs can monitor traffic, provide disaster alerts, and deliver medical supplies. Swarm UAVs, inspired by natural animal colonies such as birds and bees, enable complex flight coordination in disaster situations. To optimize operations, the implementation of scheduling methods for swarm drones is crucial. This method involves scheduling flights based on mission priorities, estimated time of arrival, and drone battery conditions. Effective scheduling ensures operational efficiency and flight safety of drones.
Development of a Web-Based Sales Recording and Inventory Management Application for Optimizing Cutton and Co's Operations Raharja, Annisa Amalia
Electronic Journal of Education, Social Economics and Technology Vol 7, No 1 (2026)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v7i1.1391

Abstract

Digital transformation has had a big effect on the retail and fashion industries by using information technology, especially web-based information systems. Cutton and Co, a local brand that makes clothes, bags, and wallets, still has problems with inventory management and sales recording because they do it all by hand using spreadsheets. This could lead to errors in data entry, delays in updating data, and problems with making reports. Lack of data integration between divisions and limited access to information also hinders the company's operational efficiency. The goal of this research is to design and build an integrated web-based information system that will help with real-time, accurate, and automatic stock management and transactions. The developed system is expected to enhance interdepartmental collaboration, accelerate business processes, and offer flexible data access. This system also supports production planning and sales performance analysis. The implementation of this system is expected to enhance operational efficiency and effectiveness, minimize recording errors, and facilitate accelerated, data-driven decision-making.
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