Payroll Becoming More Complex, Indonesian Companies Need to Strengthen HR Systems

Digital transformation in companies is often associated with the adoption of AI, analytics, and business process automation. However, before these initiatives can function optimally, companies must ensure their operational foundations are strong, particularly regarding employee data management, payroll, and compliance.

In many organisations, HR processes still operate in silos. Employee data is stored in spreadsheets, attendance is managed in separate systems, approvals are still performed manually, and payroll is managed through processes requiring lengthy reconciliations. While manageable at a small scale, fragmented data can create significant risks at the enterprise level.

Payroll, BPJS (social security), PBI 21 (income tax), THR (religious holiday allowance), overtime, employee status, and personal data protection have now become strategic concerns for companies. These areas are increasingly linked to compliance, operational control, and business risk management.

DataOn CEO Gordon Enns believes that HR modernisation needs to be viewed from a broader perspective. “HR modernisation is no longer just about administrative efficiency. It is about a company’s ability to maintain compliance, protect employee data, and make more accurate workforce decisions,” said Gordon.

Increasingly Complex Payroll

Payroll in Indonesia possesses a high level of complexity. Companies must manage various components including salary, allowances, deductions, overtime, incentives, income tax, BPJS Health, BPJS Employment, and THR. Simultaneously, companies must account for differences in employee status, work locations, organisational structures, and internal policies.

This complexity becomes more pronounced when companies have multiple branches or several legal entities. Attendance data, leave, overtime, changes in employee status, and compensation components must be processed accurately to avoid affecting payroll calculations.

Small data errors can lead to significant consequences. Delayed attendance data, unupdated employee statuses, unrecorded overtime, or incorrect salary components can directly impact payroll results and diminish employee trust. In this context, companies require a system that can maintain consistent accuracy in payroll management across all components, from salary and tax to BPJS, THR, overtime, and reporting.

Ultimately, payroll serves as the intersection of employee data, company policy, regulatory compliance, and employee trust in the organisation. Therefore, payroll cannot continue to rely on manual processes or files scattered across various locations.

Fragmented HR Data Creates Risk

Payroll challenges often do not stem from salary calculations alone. The root cause lies in unintegrated HR data. In many companies, employee data is stored in one file, attendance is in another, leave is managed manually, claims are processed via email, while compensation data is held separately by payroll or finance teams. This prevents companies from having a single, reliable source of truth.

When data is scattered, HR teams must spend significant time reconciling information before payroll can be processed or reports prepared. Such reconciliation processes can slow down work and increase the risk of inconsistency.

The impact extends beyond payroll. Fragmented data also slows down decision-making. Management may require information regarding labour cost trends, overtime patterns, turnover rates, headcount needs, or productivity per business unit. However, if data is unstructured and disconnected, such insights are difficult to obtain quickly.

Companies wishing to utilise AI, workforce analytics, or workforce planning require high-quality data. AI cannot provide accurate recommendations if the underlying data is not clean, complete, or consistent. In other words, before companies discuss AI for HR, they must ensure that employee data, payroll, attendance, performance, and organisational structures are well-managed.

Employee Data is Sensitive Business Data

Fragmented data also creates another type of risk: data governance. HR holds some of the most sensitive data within a company, ranging from employee identities, addresses, bank account numbers, and tax identification numbers to family data, compensation history, benefits, performance records, and information related to health and insurance.

This type of data must be managed with high levels of care. When employee data is scattered across various files, sent via email, or stored in spreadsheets with uncontrolled access, the risk of data breaches and misuse increases. In the era of personal data protection, companies must view HR data management as part of corporate governance. The question is not just whether the data is available, but who can access it, how changes are recorded, whether the process is auditable, and how the company ensures the data is used responsibly.

For enterprise companies, this need is becoming increasingly urgent. The larger the number of employees, the more locations involved, and the more complex the organisational structure, the greater the need for a system capable of maintaining consistency, security, and accuracy in HR data.

HRIS as an Operational Control Layer

This is where the role of HRIS (Human Resource Information System) becomes increasingly vital. Modern HR systems do not only function as a repository for employee data or a tool for processing payroll. These systems can also help companies unify data, automate HR processes, strengthen compliance, and provide vision.