Publication Search

73,099 articles from 684 journals · 2,111 citations tracked

Showing 1-2 of 2

Analytics

Baihaqi Ahmad; Indra Suganda Tampubolon; Rizky Hayyuda; Shelvia Putri Ananda; Artha Putri Br. Karo

Jurnal Riset Rumpun Ilmu Ekonomi 2026 Lembaga Pengembangan Kinerja Dosen

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

Siti Sahara; Fadly Auliano Romadona

Public Service And Governance Journal 2024 Universitas 17 Agustus 1945 Semarang

PT XYZ is a company based in South Jakarta, focused on providing smart logistics solutions using Logistics Information Systems in its business. Researchers want to measure the influence of Logistics Information Systems on Goods Delivery Efficiency. In this research, the researcher used a quantitative descriptive research method using a questionnaire as a research instrument and distributed it to 15 users of the PT XYZ Logistics Information System using a simple random sampling technique in sampling. Results from this research show a relationship (R) of 0.816. The coefficient of determination (R Square) was obtained at 0.666. The calculated F value = 25.926 with a significance level of 0.001 < 0.05. The constant value (α) is 6.601, while the Logistics Information System variable value (b / regression coefficient) is 0.828. The tcount value is 5.092 > ttable 2.131. This means that there is an influence between the Logistics Information System variable (X) on the Goods Delivery Efficiency variable (Y).