Digitalization in Collaborative Framework : Maintain High Quality Drilling Performance in Mahakam's Complex Well Preparation

Mahakam is a mature gas and oil field that has been in operation since 1966, covering an area of approximately 1500 square kilometers. It is located in East Kalimantan Province, Indonesia and has 7 operating fields. Tunu, Tambora and Handil are fields within the swamp shallow water (Delta), whereas Bekapai, Peciko, Sisi Nubi and South Mahakam are offshore fields with water depths ranging from 45 to 80 meters. The diverse setting of environments requires different methods of site preparation, construction, drilling and logistic. The drilling industrialization necessitates agile and complex well preparation especially in the Deltaic environment, with around 70 wells drilled with three swamp barge rigs each year. In recent drilling development in both Tunu and Handil fields, more shallow wells were drilled. These wells were drilled in the swamp with heavy sedimentation and/or sand banks which necessitated a large amount of dredging and required months of preparation whereas the drilling operation took up to 3 days per wells. The entire well preparation process requires planning, monitoring, and the participation of many team in different entities. Each entity has its own version of well planning database, resulting in data disagreement and lack of data integrity. Thousands of emails are being send and meetings are being organized to guarantee that operations runs well. Due to lack of trustworthy data, personnel movement or team reorganization, it has become serious issues. In 2016, company decided to start the digitalization efforts, by approaching various service company who provides the well planning software. It needed customization to match the corporate needs. However since the digitalization has not yet commonly used by most company, it was then not user friendly, thus several individuals were hesitant to utilize it. An internal team created an application in early 2019. As the business requirement & working flowchart, the team decided to have a clean and mobile-ready yet less complicated form that also enables team collaboration during the design. This ensures that all users, employee from any generation (X, Y, and Z) able to use and enter valid information. Equipped with map visualization, the related entities will be able to have better quick analysis on the condition surrounding wellhead position. The application also implements an adjustable workflow system that able to follow the dynamic of organization structure, ensure each of well planning task is assigned to the correct team. Push notifications are also an important element in this application for keeping the entire team up to date. The application also featured a discussion board and file sharing function, allowing each team to exchange information or files. The manual email exchange has been minimized, and the meeting hour has been reduced significantly. The errors are simply identified and fixed in a single integrated database. The application is continuously improved from well planning only in its early stages into well design to accommodate the whole drilling industrialization process.

E-Service Application: Online Donation to Help Fight COVID-19

The Artificial Intelligence (AI) can promote research and find optimal solutions for complex and unstable situations. COVID-19 highlights the urgent need to innovate and offer modern solutions. Those solutions must meet the business requirement but also the current circumstances. In this paper, we are going to describe a new E-service application: Online Donation to Help Fight COVID-19. Our online donation software is perfect for nonprofits. The application has many features to suit our needs and their support response time. We use the Machine learning technique K-Nearest Neighbor to identify the ideal beneficiaries (school, hospital…). Our project can resolve the problem of donation management and establish the transparency and trust.

Alignment between Business Requirement, Business Process, and Software System: A Systematic Literature Review

Alignment is a very wide subject that can be used to support an organization’s information system. Many authors have dealt with this topic according to various dimensions, including the operational alignment dimension. Our work aims to review approaches that discuss the operational alignment by reducing the gap between business requirement, business process, and software system. Therefore, this study was conducted by a systematic literature review (SLR). In the first step, we gather 1846 papers relative to the subject. In the last step, we filter those articles and select only the most pertinent ones, which leave us with 63 studies to focus on. These primary studies were analyzed according to 9 quality assessment criteria.

Automation of Longitudinal Time Series Data Visualization using Plot Specifications obtained from XL file

Longitudinal Time Series data visualization plays important role in all sector of business decision making [9]. With enormous amount of complex data [11] from cloud and business requirement, number of graphs needed for decision making increased many folds. Generating enormous number of plots manually with more human input is tedious, time consuming and error prone. To avoid these issues, suitable visualization techniques with solid design principles become very important. We conceptualized and designed a novel method for automation of these processes. R-GGPLOT2[7] package and XL specifications file were primarily used to achieve this goal. We here show as how we can create multiple plots from time series data, plots specifications-XL file and R package GGPLOT2[7] in a single run. Since all required information are entered in XL sheet, R function can be run with no modification. Multiple plots can be generated by using enormous data available in production and service sectors such as finance, healthcare, transportation and food industries etc.

A Service-oriented Methodology for Supporting Business Process Architecture Layers in Supply Chain Management

The uncertainties in Supply Chain Management (SCM) have increased the business requirement changes, which increase the complexity in the supply chain processes (SCP). As a result, different technologies of IT system have been emerged based on companies' business processes. Hence, managing the business process is crucial in SCM in which process modeling plays key role for analyzing and redesigning of process. Consequently, many methodologies in SCM have been developed to support the requirements for the modeling of SCP. However, they cannot cover the details of the business process in the lower level, i.e. the coordination of the SCP and their interaction, which can be addressed by service-oriented approach. Therefore, this paper aims at proposing a service-oriented methodology, which provides a new approach for supporting the business process architecture layers. The findings prove that the methodology narrows the gap between process analysts and information system developers, using the combination of modeling languages.

ICT Helpdesk Improvement through Decentralized Strategy

ICT Helpdesk is the part of IT Service Management (ITSM) framework which is also mentioned in COBIT 5 inDeliver, Support and Service processes. ICT Helpdesk becomes an important part that must be owned by thecompany who use the information technology to leverage the business goals. The use of IT peripheral in dailyoperations requires the excellent support. Companies do not want to lose the opportunity in business because of the IT system had a problem. ICT Helpdesk present for deliver support with Service Level Agreement (SLA) agreed which are needs more responsive to fulfill business requirement. This research is needed to find best strategy of ICT Helpdesk implementation. Assess the existing strategy and analyze the gap between current and future condition is required. Working area that must be covered in this service and amount of the technician are the keys for improvement. Option of centralized and decentralized strategy becomes research objective to be addressed in this case to find best ICT Helpdesk strategy.

Big Data in Social Media Environment

Information technology has reached its pinnacle, with the era being dominated by two hi-tech driving forces - Big data and Social media. Big data encompasses a wide array of data mining workloads, extracted through various sources, the results of which are of keen interest to business leaders and analysts across every industry segment. Data from the social media is exploding at an exponential rate and is being hailed as the key, to crucial insights into human behavior. Extracting intelligent information from such immense volume, variety and velocity of data, in context to the business requirement is the need of the hour. Therefore, new tools and methods specialized for big data analytics is crucial, along with the architectures for managing and processing such data. Big data complemented with Social Media offers a new horizon to take management practice to an advanced level.

Big Data in Social Media Environment

Information technology has reached its pinnacle, with the era being dominated by two hi-tech driving forces - Big data and Social media. Big data encompasses a wide array of data mining workloads, extracted through various sources, the results of which are of keen interest to business leaders and analysts across every industry segment. Data from the social media is exploding at an exponential rate and is being hailed as the key, to crucial insights into human behavior. Extracting intelligent information from such immense volume, variety and velocity of data, in context to the business requirement is the need of the hour. Therefore, new tools and methods specialized for big data analytics is crucial, along with the architectures for managing and processing such data. Big data complemented with Social Media offers a new horizon to take management practice to an advanced level.