Article Per Year (5 Year)
p-Index From 2021 - 2026
1.971
P-Index
This Author published in this journals
All Journal JURNAL BISNIS & AKUNTANSI UNSURYA Jurnal Ilmiah Manajemen Ubhara Inobis: Jurnal Inovasi Bisnis dan Manajemen Indonesia Jurnal Disrupsi Bisnis JRABA Eduvest - Journal of Universal Studies Sinergi International Journal of Logistics Sinergi International Journal of Economics JURNAL MITRA MANAJEMEN Jurnal Bakti Dirgantara Logistica : Journal of Logistic and Transportation
Tutik Siswanti
Universitas Dirgantara Marsekal Suryadarma
Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Mechanical Engineering Neuroscience Social Sciences Transportation Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Logistica : Journal of Logistic and Transportation

 1 
Heuristic Route Optimization Using Saving Matrix and Nearest Neighbor: Case Study at PT Harapan Jaya Multi Bisnis, Makassar Siswanti, Tutik; Fitrina, Rehani
Logistica : Journal of Logistic and Transportation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i1.691

Abstract

Indonesia faces disproportionately high logistics costs compared to regional and global peers. This study applies Saving Matrix and Nearest Neighbor algorithms to optimize delivery routes at PT Harapan Jaya Multi Bisnis in Makassar, a key logistics hub in Eastern Indonesia. Using operational data from 2022–2023, the research consolidated 12 delivery routes into 5 optimized routes. The optimization reduced the total delivery distance from 2,772 km to 1,967 km, saving 805 km (29%), and lowered distribution costs by approximately Rp 3.5 million every five working days, resulting in a 70% increase in cost efficiency. These findings highlight the practical benefits of heuristic algorithms in addressing urban logistics inefficiencies under infrastructure constraints. However, the study is limited by reliance on company operational records and does not account for external variables such as fuel price fluctuations or seasonal demand surges. The results provide a replicable framework for logistics firms and policymakers seeking data-driven strategies to reduce logistics costs in Indonesia.
Co-Authors Adnyani Asak, Putu Rani Arlan Siddha Bintang B Sibarani Cupiadi, Hedi Dian Wijayanti Etty Murwaningsari Fitrina, Rehani Hardiyono Hardiyono Indah Suryati Nurfitri Eka Hardipamungkas Safri Safri Sekar Mayangsari Setiadi Setiadi Setiadi Setiadi Setiadi Soehardi Soehardi Tsaldi Basis Arvicano