Article Per Year (5 Year)
p-Index From 2021 - 2026
2.737
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Industri Pertanian J@TI (TEKNIK INDUSTRI) Agrointek JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Jurnal Intelektualita: Keislaman, Sosial, dan Sains OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Journal of Saintech Transfer Jurnal Ilmiah Teknik Industri Jurnal Sistem Teknik Industri Journal La Multiapp AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment)
Juliza Hidayati
Universitas Sumatera Utara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Transportation Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal La Multiapp

 1 
Literature Review on Vehicle Routing Problem: Approaches, Algorithms and Current Challenges Pangaribuan, Mery Andani; Hidayati, Juliza; Nasution, Harmein
Journal La Multiapp Vol. 6 No. 6 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i6.2382

Abstract

The Vehicle Routing Problem (VRP) is one of the basic combinatorial optimization problems that takes a central place in the sphere of logistics, transportation, and supply-chain management. A systematic literature review (SLR) of VRP scholarship dated 2000 to 2025 is conducted herein, where over 500,000 publications are analyzed to carry out the study of VRP solutions evolution and methodological advancements as well as their practical use. The results highlight the current popularity of metaheuristic algorithms, such as Ant Colony Optimization (ACO), Genetic Algorithms (GA), and Particle Swarm Optimization (PSO), in solving complex variants of VRP, in particular, the Capacitated Vehicle Routing Problem (CVRP) and the Vehicle Routing Problem with Time Windows (VRPTW). The combination of real-time data streams, machine-learning methods and adaptive algorithms represents a revolutionary track, and helps to develop more active and responsive VRP models. Moreover, increased attention to sustainability and green logistics has triggered the development of the eco-efficient VRP models, which combine the use of electric vehicles (EVs) and energy-consumption optimization. The spread of autonomous vehicles presents new opportunities and threats to future VRP solutions, particularly in the area of urban freight and last-mile delivery. In conclusion, the review outlines future streams of research, highlighting the need to find adaptive, sustainable, and autonomous VRP models that can resolve the growing complexities in the modern world of logistics.
Design of an Integrated Order Acceptance System in a Palm Oil Machine Component Company: Case Study Maharani . S, Anggi; Juliza Hidayati; Meilita Tryana Sembiring
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2918

Abstract

As demand increases, companies need information systems capable of providing accurate, real-time, and integrated data. However, observations show that ongoing business processes are still carried out manually, such as communicating orders via WhatsApp , manually recording purchase orders (POs), and creating invoices that are not centrally documented. This condition results in various problems, including lost PO documents, duplicate transaction notes, data desynchronization between departments, and delays in order processing. Research This aim for analyzing business processes moment this (as-is) and designing business processes more (to-be) proposals effective and efficient through implementation system Odoo-based Enterprise Resource Planning (ERP). The research method used is descriptive research with data collection techniques in the form of observation and interviews. Analysis was conducted to identify non-value-added activities and system requirements that are appropriate to the company's operational conditions. The results of the study indicate that manual processes cause an average of 11% data accuracy errors per year, reduce operational efficiency, and hinder coordination between departments. The proposed Odoo-based ERP system design is able to integrate sales, purchasing, production, and finance processes so that data flow is automated, consistent, and there is no repetitive recording. This system model has been proven to support increased data accuracy, reduce data duplication, and provide faster and more accurate information for decision-making.
Co-Authors Abdul Rahim Matondang Adventi, Fransiska Alfin Fauzi Malik Ami Dilham Aulia Agung Dermawan Aulia, Dwira Nirfalini Buchari Dhede Pristi Afrinda Dimas Akmarul Putera Elisabeth Gultom Ginting, Nurlisa Glory Riama Hosianna Haniza Haniza Haniza Harmein Nasution Hasibuan, Abdurrozzaq Hasibuan, Shelvy RG Elsa Hutapea, Benyamin Tangihon Julian Helmi Kimberly Febrina Kodrat Lubis, Dinda Agustina Maharani . S, Anggi Meilita Tryana Sembiring, Meilita Tryana Muhammad Zulfin Nazaruddin M Nazaruddin Matondang Nazaruddin Nazaruddin Noviwiyocha, Riza Nurzainah Ginting Pangaribuan, Mery Andani Parsaulian R, Rahmad Rafi Dio Renita Manurung Rini Anggraini Riski Arifin Rita Sundari Rosdanelli Hasibuan Rosnani Ginting Sawarni Hasibuan Sugih Arto Pujangkoro Sukaria Sinulingga Sukaria Sinulingga Utomo Hadi Utomo Hadi, Utomo