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Journal : Journal Of World Science

Concept of Time Travel and The Different Theories for Making It Possible and The Implications of Time Travelling Younus, Muhammad; Nurmandi, Achmad; Suswanta, Suswanta
Journal of World Science Vol. 2 No. 4 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i4.268

Abstract

The purpose of this paper is to explain in detail the concept of time travel, also how it was popularized, and lastly, the theories presented to make it possible and what impact it will have if time travel becomes possible soon. This research uses qualitative research type, evaluating data from qualitative research is "The VOSviewer" software. Time Travel is a concept that has long been a topic of great interest to the scientific community and the common people who see it on the big screen through interesting plots and visualizations in movies and series. So, everyone's thoughts on the concept of benefits can be different, but everyone is on the same page to welcome any possibility to make it happen. Time travel is interesting and in demand, it is necessary to continue to conduct research and development, the government must invest more, and we must be careful and cooperate as one community for its development and use.
Analyzing Delivery Area/Zone Tagging Techniques Within Fulfillment Centres For Last Mile Delivery Orders Younus, Muhammad; Nurmandi, Achmad; Suswanta, Suswanta; Rehman, Abdul
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.
Smart Transportation System Evolution: a Comprehensive Mapping and Analysis Younus, Muhammad; Nurmandi, Achmad; Rohrohmana, Nurainni
Journal of World Science Vol. 2 No. 12 (2023): Journal Of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i12.520

Abstract

Smart transportation is an important trend worldwide, reducing accidents, traffic jams, and pollution. It uses technology and communication to parse errors and monitor everything online. This research aims to determine how to implement a smart transportation system to provide convenience for users and the city. Smart transportation systems are designed to reduce accidents, pollution, and other problems. However, many cities still need to implement them and require government approval. This research aims to implement the system in every city to ensure citizens can use it more. This research uses a qualitative and bibliometric analysis approach to analyze bibliographic research data in journals from 2012 to 2022. The cluster obtained from software shows that smart transportation uses the most electricity from ordinary transportation and requires a ready implementation system. Other topics related to implementing an intelligent transportation system, such as benefits and how to implement it, are obtained. The conclusion is that smart transportation must be implemented to reduce risks and make urban citizens feel more secure and comfortable using it.