86th Doctoral Promotion

Promovendus Hendri, ST., MT succeeded in his doctoral dissertation exam and became the 86th PhD of the Study Program of Doctoral Engineering Science (PSDIT), Faculty of Engineering, Udayana University. The dissertation titled Content Delivery Networks (CDN) Modeling with API Integration in Public Information Systems received a very satisfactory predicate.

Dr. Hendri, ST., MT explained that public information systems in Indonesia are independent of different concepts and technologies that lead to not integrated public agencies (BP) and tend to be isolated (Silo). To deal with the general and reliable data demand, a low-led information system and high readiness are necessary. Modeling is made to evaluate the performance of content distribution networks (CDN) integrated into the application programming interface (API) to reduce latency, increase the use of and ensure the reliability of information through network simulation by network simulator (NS3). The administrative stratification in Indonesia includes five levels: the Central Government, the Provincial Government, the Regency/City, the Subdistrict, and the Village. This is modeled for hierarchical cache propagation, local content delivery via API, contextual TTL and Cache management, Latency reduction with local data access, bandwidth optimization and data consistency across levels, and scalability adjusted to administrative growth.

This model shows optimized network efficiency with Latency reduction ranging from 10 to 30 milliseconds, and optimized bandwidth usage (91.8 GB in Scenario 1). Effective content isolation through directional distribution prevents unnecessary bandwidth usage and maintains relevance with up and down distribution control so that scalability and adaptability are higher with smooth deployment to 83,763 village servers without manual intervention through dynamic cache management. Push caching strategy resulting in Cache Hit Ratio in all scenarios, ranging from 90% to 98.5% with post-distribution efficiency depicting the model's efficiency in handling continuous user requests. The promoter, co-promoters I and II, are Prof. Ir. Rukmi Sari Hartati, MT., Ph.D., Prof. Ir. Linawati, M.Eng.Sc., Ph.D., and Dr. Ir. Dewa Made Wiharta, ST., MT respectively.