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All Journal Journal Of World Science MODERAT: Jurnal Ilmiah Ilmu Pemerintahan
Achmad Nurmandi
Department of Government Affairs and Administration, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia
Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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Analyzing Delivery Area/Zone Tagging Techniques Within Fulfillment Centres For Last Mile Delivery Orders Muhammad Younus; Achmad Nurmandi; Suswanta Suswanta; Abdul Rehman
Journal of World Science Vol. 2 No. 7 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i7.340

Abstract

Last-mile delivery in e-commerce logistics is crucial and difficult, affecting consumer happiness and operational efficiency. Fulfillment centers use delivery area/zone marking to ease this operation. This study examines fulfillment center methods for optimizing last-mile delivery orders. This research first examines delivery area/zone labeling methods. These methods break geographical regions into smaller manageable parts for resource allocation and route optimization. Grid-based zoning, distance-based tagging, and contemporary machine learning methods for dynamic and adaptive zone identification will be investigated. The study then examines delivery area tagging implementation factors. Zone tagging success depends on population density, order frequency, traffic patterns, and delivery time windows. Emission regulations and sustainability targets will also be examined. Delivery area/zone tagging technology and tools are also examined. GPS tracking, GIS mapping, and real-time data analytics enable effective monitoring and modifications. IoT devices and predictive analytics will also be assessed for their impact on delivery performance. This study concludes with the benefits and drawbacks of delivery area/zone labeling. Delivery time, operational expenses, and customer experience improve. Fulfillment focuses face data privacy, algorithmic biases, and system scalability issues. In conclusion, this study examines fulfillment center delivery area/zone labeling for last-mile delivery orders. E-commerce and logistics stakeholders may maximize last-mile delivery by knowing the different methods, technology, and factors affecting them.
DYNAMIC URBAN INTELLIGENCE: A COMPREHENSIVE ANALYSIS OF THE EVOLUTIONARY TRAJECTORY OF SMART CITIES AND TRANSPORTATION SYSTEMS Muhammad Younus; Achmad Nurmandi; Nisaul Hasanah
Moderat : Jurnal Ilmiah Ilmu Pemerintahan Vol 10 No 1 (2024): February 2024
Publisher : Program Studi Ilmu Pemerintahan FISIP Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/moderat.v10i1.3753

Abstract

This study aims to analyze the characteristics of smart cities and smart transportation trends in the last ten years. The development of technology and the increasing level of mobility have created a concept of a smart city as an effort to embody an effective and efficient sustainable life, including in the transportation sector. The Smart City concept is an effort to integrate information and communication in city management, while smart transportation is one of the essential components of implementing a smart city that combines information and communication technology with the transportation sector. The adaptation of the two creates a system known as the Intelligent Transportation System (ITS). This research used a bibliometric analysis to analyze data from the last ten years using the Scopus database and CiteSpace software. The number of publications on smart cities and smart transportation trends has increased overall in the last ten years, with China having the highest number. A bibliometric analysis found that the trend consists of 15 significant clusters: smart transportation applications business model, geomatics, big data, enabling technologies security, cloud computing, cyber-physical system, traffic congestion level, city buses, comprehensive performance analysis, energy-aware intrusion detection model, privacy-preserving authentication protocol, communication-oriented perspective, intelligent transportation system, numerical calibration method, and cyber-physical system. The study also considers both macro and micro perspectives. It should evaluate how urban intelligence influences resource allocation, sustainability goals, and equitable access to services while also focusing on transportation systems, autonomous vehicles, and last-mile connectivity.
Co-Authors Abdul Rehman Muhammad Younus Muhammad Younus Nisaul Hasanah Suswanta Suswanta