Companies in supporting activities that can achieve competitive advantage require a description of the right activities or commonly called business processes. To evaluate existing business processes so as to improve business productivity performance, every company needs to conduct business process analysis so that it is easy to understand the ongoing business processes and can improve them if needed. An important stage of business process analysis is modeling. The purpose of writing this journal is to identify business processes at PT Datacomm Diangraha and make modeling of ongoing business processes (As-Is Model). The Business Process Model Notation (BPMN) method which is a technique or method for understanding, designing and analyzing a business process is used in this research. This study uses observation, interviews and literature review to obtain data. The results obtained are the business processes at PT Datacomm consisting of the contract making process, the work design submission process, the process of paying service fees in stages (30%, 60%, 10%), providing a guarantee period, and customer service and process improvement.

The advancement of information technology continues to grow in line with the increasing years. The benefits gained from the advancement of information technology make all aspects of human life today can not be separated from information technology and also encourage the emergence of innovations in the development of information technology, payment is no longer conventionally but with mobile payment. This study aims to find out what useful factors influence the continuation of the intention to use mobile payment in the go-pay, OVO, and DANA case studies. Analysis of factors that influenced this study include:Computer Self Efficacy (CSE), Enjoyment (E), Perceived Ease of Use (PEOU), Perceived Usefulness [1], Confirmation (CON), Perceived Value (PV), Technical System Quality (TSQ), Satisfaction (SAT), and Continuance Intention (CI). This study uses random sampling techniques by collecting data utilizing google form containing 45 statements using five Likert-scale distributed online. The sample used in this study was 117 respondents. The statistical analysis techniques used in this study are Structural Equation Modeling [2] and use SMARTPLS 3.0 application as a tool to analyze the data. The results obtained are that Computer-Self Efficacy (CSE), Perceived Ease of Use (PEOU), and Perceived Usefulness [1] has no significant effect on Continuance Intention (CI). While Satisfaction (SAT), has a significant influence on Continuance Intention (CI).