<![CDATA[This study examines the legal adequacy of the settlement of PT Asuransi Jiwasraya (Persero)'s obligations to policyholders by using good faith as an explicit normative standard. The issue is examined across the restructuring, policy-transfer, and post-license-revocation stages rather than treating the existence of a settlement mechanism as proof that contractual rights have been fulfilled. This doctrinal legal research applies statutory, conceptual, and case approaches to ten core primary and official materials: the Indonesian Civil Code; Law No. 40 of 2014 on Insurance as amended by Law No. 4 of 2023; OJK Regulation No. 22 of 2023; three Central Jakarta District Court decisions concerning Jiwasraya; two OJK press releases issued in August 2024; and the 2025 OJK decision/announcement revoking Jiwasraya's life-insurance business license. Case-specific materials cover 2019-2025 and were purposively selected for authority, direct relevance to policyholder rights, and connection with restructuring or settlement. The materials were analyzed through grammatical, systematic, and teleological interpretation and deductively coded against five good-faith parameters: contractual certainty and continuity of benefits, transparency and adequacy of information, meaningful consent, proportionality and balance of interests, and access to legal protection and remedies. The analysis shows that restructuring and policy transfer are legally relevant settlement instruments, but they do not by themselves establish substantive fulfillment of all policyholder rights. OJK's reported 99.7% restructuring approval is treated as aggregate evidence of acceptance, not as proof that every consent was informed, voluntary, or equivalent to full contractual performance. The post-revocation stage also leaves continuing duties to protect unresolved policyholder interests. The study contributes a replicable doctrinal framework for assessing insurance-obligation settlements through good faith while recognizing that its conclusions are legal-normative rather than statistically generalizable.]]>
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