17_Ketidakwajaran Data SE2026

Main ideas and concepts

• Purpose of SE 2026 data collection quality assurance: Beyond completing field data collection, the collected data must be reasonable, consistent, and high quality.

• Role of irregularity/anomaly checks: One key step is to identify data irregularities or anomalies—cases where data entries are not logically normal or deviate from general patterns.

• Two irregularity indicators highlighted:

  1. Production goods vs. production-cost composition mismatch
  2. Negative income–expense difference (a loss), including cases where it may still be reasonable

Detailed indicators / “how to check” methodology (as presented)

1) Business does not produce its own goods, but production costs dominate

• Definition of the irregularity: A condition occurs when:

  • The business does not produce its own goods (implied by responses to a specific detail item), but
  • The production cost share is still over 50% of total expenditure.

• Specific checks mentioned:

  • If a business does not produce its own goods:
    • Detail 13B1 should not be filled in.
  • But if production cost value in Detail 26B is > 50% of total expenditure in Detail 26F:
    • This combination is an anomaly indicator.

• Example given:

  • A grocery trader typically does not produce goods—it buys and resells.
  • Logically, production costs should not be the dominant part of total expenditure in such a case.

• Action required:

  • If this condition occurs, reconfirm with the respondent that the data is correct (production costs should not be recorded as dominant if the business truly does not produce).

2) Income minus expenses is negative (a loss)

• Definition of the irregularity: A negative income–expense difference suggests the business is operating beyond its means (i.e., a losing business).

• Important nuance: negative is not automatically wrong

  • The abnormality can be reasonable in certain situations:

    • New or growing businesses: Often have large initial costs (rent, equipment, employee salaries, promotion), while sales may not yet be stable, so expenses exceed income.

    • Businesses with high operational costs: Rising costs (e.g., electricity, internet, fuel, transportation) can inflate expenses. If not offset by sales, a loss may appear.

• Action required / how to validate:

  • A negative difference is acceptable only if figures reflect the actual business situation.
  • Make sure no income is missed.
  • Add a note/description in the notes column explaining why the loss is plausible (e.g., new business stage or temporarily high costs).

Purpose and tone of the material

• The irregularity findings are not meant to blame officers’ entries, but serve as a signal to maintain and improve data quality.

Speakers / sources featured

• “Data Friends” (audience addressed by the speaker)
• Unnamed speaker / presenter (no specific person identified in the subtitles)