Article Per Year (5 Year)
p-Index From 2020 - 2025
1.285
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah RESPATI Jurnal Mantik TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Mandiri IT Journal of Artificial Intelligence and Digital Business
Santoso, Bayu Aji
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Mandiri IT

 1 
Application of dijkstra algorithm to optimize waste transportation distribution routes in Tegal Regency Santoso, Bayu Aji; Surur, Misbahu; Syefudin, Syefudin; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.290

Abstract

Efficient waste management is essential for sustainable urban development, especially in densely populated areas such as Tegal Regency. The study addresses inefficiencies in current waste hauling routes that contribute to increased operational costs and environmental impacts due to long transit times and increased emissions. By applying the Dijkstra Algorithm, this study aims to optimize waste transportation routes to reduce these inefficiencies. This approach involves collecting primary and secondary data on the waste management system in Tegal, which is then analyzed using the dijkstra algorithm to determine the most efficient transport route. The findings show that route optimization can significantly reduce operational costs and carbon emissions, contributing to more sustainable waste management practices in the Tegal District. This study not only improves theoretical understanding of route optimization but also provides practical solutions to real problems in waste management systems.
Co-Authors Aang Alim Murtopo Ani Lestari Asyfiya, Dzurrotu Umi Bangkit Indarmawan Nugroho Cahyo, Septian Dwi Firmansyah, Akhmad Lutfi Gunawan Gunawan Gunawan Miftakhudin, Ahmad Putri, Ambar Ramadhani Rahmi, Hayatul Santoso, Nugroho Adhi Surur, Misbahu Syefudin, Syefudin