Lien Rights: The Invisible Pillar Urgently Needed in Indonesia’s Construction Security System Regulation
Bibliographic record
Abstract
Indonesia’s construction sector faces acute payment risk, particularly for subcontractors and suppliers positioned downstream in multi-tier contractual chains. Unlike many common law jurisdictions that mitigate this risk through statutory construction lien rights, non-possessory security interests that attach to the improved aset, Indonesia lacks an equivalent construction-specific proprietary protection, leaving payment security largely dependent on contract remedies and general security devices. This article examines (i) how construction lien regimes function as project-specific security mechanisms in selected common law jurisdictions and (ii) the normative and functional gap created by their absence in Indonesia, along with feasible accommodation pathways. Employing doctrinal (normative) legal research using statutory, conceptual, and comparative approaches, the study analyzes representative lien frameworks in North Dakota, Texas, and Ontario. The analysis finds that, despite jurisdictional variations, lien regimes share a regulatory core: lien rights arise upon performance, are made transparent through notice/registration systems, operate under calibrated priority rules, and are enforceable against the project asset through structured procedures. By contrast, Indonesia’s principal security instruments, Mortgage Rights (Hak Tanggungan) and Fiduciary Security (Jaminan Fidusia), are structurally ill-suited to secure progressively embedded construction value and to protect parties lacking privity with owners. The article concludes that strengthening Indonesia’s construction security framework requires a construction-specific proprietary mechanism, preferably statutory recognition of construction lien rights with carefully designed registration, time limits, and priority rules to balance contributor protection with owner and financier certainty.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.025 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".