Manufacturing cycle prediction using structural equation model toward industrial early warning system simulation: The Indonesian case.

This study aims to integrate short-term, medium-term, and long-term Composite Leading Indices (CLIs) to establish that interconnected CLIs offer enhanced predictive capabilities compared to individual CLIs. Specifically, it investigates the relationships among CLIs to forecast Indonesia's Manufacturing Cycle (ManC) using Partial Least Squares-Structural Equation Modeling (PLS-SEM). Building on an extensive literature review, the study employs quarterly data spanning from Q1 2010 to Q2 2022, incorporating five constructs representing key economic sectors influencing the manufacturing cycle.

Two scenarios for 5G deployment in Indonesia.

While some other countries had started their 5G deployment with excellent business use cases, Indonesia is restrained for a moment due to the unreadiness of 5G actors. Several factors which still need attention from 5G actors in Indonesia are telecommunication infrastructures such as spectrum frequency and transport, policy and regulation, innovation ecosystem and social impact. Despite those concerning factors, there are also key drivers that stimulate the 5G deployment in Indonesia.