Sipadi

05_lhs_enhanced_priority.csv / 04_lhs_failure_probability_by_actor.csv / 03_final_model_summary.json

Critical nodes

1424 actor-region-scenario rows

Peak LHS failure

100%mean failure probability

Mean priority

0.772weighted decision score

Highest pressure

Karawangregion by summed score

Intervention Queue

Ranked actor-region priorities for the active scenario.

Rank	Node	Priority	LHS fail	Score	Action
1	KarawangRetail	Critical	100%	1.000	Prepare buffer stock, backup suppliers, and consumer price monitoring.
2	KarawangRice Miller	Critical	100%	0.992	Secure milling capacity, backup machine schedule, and protect grain-to-rice processing continuity.
3	KarawangWholesaler	Critical	86%	0.956	Prepare buffer stock and route contingency for bulk distribution.
4	GarutRetail	Critical	100%	0.939	Prepare buffer stock, backup suppliers, and consumer price monitoring.
5	SubangRetail	Critical	100%	0.936	Prepare buffer stock, backup suppliers, and consumer price monitoring.
6	GarutMiddlemen	Critical	100%	0.934	Monitor distribution bottleneck, prepare alternative storage, and coordinate pickup/delivery windows.
7	GarutWholesaler	Critical	92%	0.910	Prepare buffer stock and route contingency for bulk distribution.
8	SubangMiddlemen	Critical	91%	0.908	Monitor distribution bottleneck, prepare alternative storage, and coordinate pickup/delivery windows.
9	IndramayuRetail	Critical	100%	0.906	Prepare buffer stock, backup suppliers, and consumer price monitoring.
10	TasikmalayaRetail	Critical	100%	0.901	Prepare buffer stock, backup suppliers, and consumer price monitoring.

LHS-enhanced final priority score by actor and region.

Actor	Garut	Indramayu	Karawang	Subang	Tasikmalaya
Retail	94%	91%	100%	94%	90%
Middlemen	93%	89%	88%	91%	90%
Rice Miller	69%	66%	99%	68%	78%
Wholesaler	91%	60%	96%	56%	-
Farmer	53%	49%	56%	51%	45%

LHS mean across actor-region units.

Retail100%

Middlemen97%

Rice Miller97%

Wholesaler75%

Farmer28%

Actor-region priority intensity under high flood scenario

Operational translation from priority outputs.

Dinas Ketahanan Pangan

Prioritize buffer stock and supply continuity monitoring for Critical actor-region units.

Priority label = Critical or High, especially under High flood scenario.

BPBD / disaster coordination team

Use flood scenario as logistics alert trigger for vulnerable supply-chain nodes.

High flood scenario combined with High Vulnerability or high fail share.

Bulog / Bapanas or local food reserve managers

Prepare stock redistribution and backup supply for retail, wholesalers, and middlemen with Critical priority.

High fail share or High/Critical priority among downstream actors.

Dinas Perdagangan

Monitor price pressure in downstream nodes with weak margin and high cost/revenue ratio.

Retail or wholesaler actor-region units with High Vulnerability and High/Critical priority.

Supply-chain actors / cooperatives

Use actor-specific recommendations to prepare backup suppliers, storage, or processing capacity.

Actor-region appears in top intervention shortlist.

Primary evidenceFlood Prediction + Rice Supply Chain competition datasets

BridgeOpen Data Jabar exposure only, not rice label training

BoundaryScenario decision support, not observed flood-impact attribution