Sistem Informasi Analisis Volume Sampah dan Optimalisasi Rute Pengangkutan dengan Metode Neural Networks

Authors

  • Ira Zulfa Universitas Gajah Putih
  • Eliyin Eliyin Universitas Gajah Putih
  • Muhammad Yustisar Universitas Gajah Putih
  • Asyam Amrullah Ar-ramdhi Universitas Gajah Putih

DOI:

https://doi.org/10.55606/juisik.v5i2.1207

Keywords:

Information System, Analysis, Neural Network

Abstract

In an age of rapid urbanization, managing waste properly is a major challenge. To deal with the increasing amount of waste, a good transportation system is needed. Therefore, the purpose of this research is to build a “Waste Volume Analysis and Transportation Route Optimization Information System using Neural Networks Method.”

To precisely determine the volume of waste and design the best transportation route, this research will utilize neural networks technology. It is hoped that this system can provide innovative solutions to improve the efficiency of waste management. The research will involve collecting data on waste volume from the past and in person, analyzing it using neural networks to make precise predictions, and applying algorithms to optimize routes. This process includes data processing, modeling, and field testing of the system.

This research includes results related to predicting waste volume precisely and providing visualizations that are easy to understand for use, the most efficient transportation routes that can cut operational time and costs.

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Published

2025-06-17

How to Cite

Ira Zulfa, Eliyin Eliyin, Muhammad Yustisar, & Asyam Amrullah Ar-ramdhi. (2025). Sistem Informasi Analisis Volume Sampah dan Optimalisasi Rute Pengangkutan dengan Metode Neural Networks . Jurnal Ilmiah Sistem Informasi Dan Ilmu Komputer, 5(2), 142–160. https://doi.org/10.55606/juisik.v5i2.1207

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