Tannady, Hendy and Andry, Johanes Fernandes and Suriyanti, Suriyanti (2023) The Sustainable Logistics: Big Data Analytics and Internet of Things. International Journal of Sustainable Development and Planning, 18 (2). pp. 621-626. ISSN 1743-761X
|
Text
The Sustainable Logistics_ Big Data Analytics and Internet of Things.pdf Download (1MB) | Preview |
Abstract
The presence of IoT technology in Indonesia has made many industries grow rapidly, especially in data management in large companies. The aim of this journal is to discuss one of the 'smart' solutions that can be recognized as an innovative solution in both the technology and organizational fields presented by a telecommunications company in Indonesia. This solution can be implemented in the logistics industry, which in the era of globalization plays a very important role. But not only in the logistics industry, the smart logistic solutions discussed can also be used in several other industries such as retail, warehousing, transportation, manufacturing and mining. The feature of the smart logistic device already uses big data analysis which is known to process and use real time data. All of the features carried by the smart logistics are not only aimed at reducing distribution costs but also optimizing the distribution system of goods. The direct impact felt by user companies is that their productivity has increased dramatically because they can set delivery destinations that have been adjusted according to the zoning system, look for traffic-free paths, and so on. The pace of modern economic development encourages companies to introduce more new solutions, resulting in innovations that drive market progress. This research aim is to discuss about how to resolve the problem that was encountered by logistic companies by of implementing logistics IT solutions which consists of Big Data Analytic and Internet of Thing. So big data IoT like that requires an appropriate analytical framework to generate knowledge to measure operational efficiency, distribution, machine renovation, and so on inside the enterprise. The research method used in this article is library research or literature review, this research begins with the problem identification, hence looking source and information, data collection and information, analysis and processing the gathered information and create a conclusion. One of conclusions of this research is All the features of the Nextfleet application as well as the development of Advanced Driver Assisted System (ADAS) technology and Intelligent Telematics Surveillance enable the Nextfleet application to be applied not only to the logistics industry but also other industries such as retail, warehousing, transportation, manufacturing, and mining.
| Item Type: | Article |
|---|---|
| Keywords: | Internet of Things, big data, globalization, logistics, transportation, operational efficiency |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 003 Systems (Computer Modeling and Simulation) 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware |
| Divisions: | Faculty of Business > Management |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 23 Oct 2023 02:16 |
| Last Modified: | 23 Oct 2023 02:16 |
| URI: | https://kc.umn.ac.id/id/eprint/26979 |
Actions (login required)
 |
View Item |
