Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Teknik Industri Jurnal Teknik dan Science (JTS)
Maulida Boru Butar Butar
Universitas Gunadarma
Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PENGUKURAN KINERJA RANTAI PASOK BALIK: STUDI KASUS PERUSAHAAN DAUR ULANG ALAT KOMUNIKASI X Maulida Boru Butar Butar; Stephanus Liwun Bera Liwun
Jurnal Teknik dan Science Vol. 1 No. 3 (2022): Oktober : Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v1i3.442

Abstract

The supply chain performance, as measured by observing the product return process that occurs at company X, will be presented in this paper. Product return is one of the things that encourages the use of a reverse supply chain in a company. The company must handle returned products from end users so that the returned products received can be profitable. The existing general model is used to examine the possibility of re-manufacturing processes in company X's existing reverse supply chain. The process model of the re-product is investigated and observed. Case studies on small and medium enterprises engaged in recycling electronic products already have a back supply chain process. A general model of the return supply chain at company X will be created, and a mathematical model based on the general model will be proposed to evaluate the performance of the return supply chain. The costs for product returns, when low and high, will be compared as a reference for the company. With the existence of a supply chain model of the processes that return products go through, companies can begin to measure the performance of the supply chain processes and evaluate this process as a way to gain benefits for the company.
A Python-Based CVRPTW Decision-Support System for Optimizing Examination Paper and Administrative Document Distribution at Universitas Gunadarma Maulida Boru Butar Butar; La Ode Ahmad Muwahhid Hakim; Shalia Nur Hafizah; Fattih Yanuar Ibrahim; Daniel Delbert Ardielry
Jurnal Teknik Industri Vol. 28 No. 1 (2027): February
Publisher : Department of Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Examination-document distribution is a time-critical institutional logistics problem, yet prior educational applications often examine fixed route instances and separate optimization from configurable decision-support workflows. This study develops a Python-based Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) decision-support system that integrates directed OSRM matrices, Google OR-Tools RoutingModel, scenario parameters, and interactive route visualization. The solver applied PATH_CHEAPEST_ARC followed by GUIDED_LOCAL_SEARCH with a five-second search limit. Every examination site was mandatory, and directed road distance was the sole routing objective. Under the normal scenario, the best-found feasible solution used two vehicles and traveled 28.940 km. The practice-based reconstructed operational baseline, evaluated using the same matrix, traveled 34.686 km, corresponding to a model-based distance difference of 16.57%. When modeled as a single 100-package vehicle route under the study’s standardized assumptions, the reconstructed baseline was infeasible, with a 39-package capacity exceedance, modeled late arrivals at three campuses, and 107 minutes of modeled total lateness. Scenario-based estimated emissions were 6.76 kg for the reconstructed baseline and 5.64 kg for the CVRPTW solution using an assumed factor of 195 g CO₂/km. The tested deterministic scenarios remained feasible under the peak-demand condition of 176 packages, a 30-minute delay in depot-service start, and a traffic multiplier of 2.0. The contribution is a reproducible data-to-decision workflow rather than a new routing algorithm or proof of global optimality.
Co-Authors Daniel Delbert Ardielry Fattih Yanuar Ibrahim La Ode Ahmad Muwahhid Hakim Shalia Nur Hafizah Stephanus Liwun Bera Liwun