Lily Puspa Dewi

Business Process Maturity at Agricultural Commodities Company

The agricultural commodities company nowadays strive to keep transforming their business processes in accordance with the fast changing demands to survive the intense global competition. In an attempt to provide stakeholder with an insight business process, this paper investigates how to model business processes with Business Process Modelling Notation and assesses the process maturity using Gartner’s model. This research is based on an in-depth observation at purchasing and production division of agricultural commodities company. It is found the business process model presents the knowledge from business in existing context. The other findings show the maturity level of the people is on phase 1, the maturity level of IT achieves phase 3, and the maturity level of the other four factors including strategic alignment, culture and leadership, governance and methods have already arrived phase 2. These findings will help company to do big planning for improvement in the future.

A Simulation Model for Strategic Planning in Asset Management of Electricity Distribution Network

Asset management of electricity distribution network is required in order to improve the network reliability so as to reduce electricity energy distribution losses. Due to strategic asset management requires long-term predictions; it would require a simulation model. Simulation of asset management is an approach to predict the consequences of long-term financing on maintenance and renewal strategies in electrical energy distribution networks. In this research, the simulation method used is System Dynamics based on consideration that this method enables us to consider internal and external influenced factors. To obtain the model parameter, we utilized PLN Pamekasan for the case study. The results showed the reduction of low voltage network assets condition on average in the range 6% per year, the average decline in the transformer condition is approximately 6.6% per year, and the average decline in the condition of medium voltage network assets is approximately 4.4% per year. In general, the average technical losses average of 1,359,981.60 KWH / month or about 16,319,779.24 KWH / year.