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Model Shared Laravel Package

inisiatif/model-shared

Kumpulan model Eloquent bersama untuk Inisiatif Zakat Indonesia: pekerjaan, tingkat pendidikan, wilayah (negara–provinsi–desa), dan status perkawinan. Mendukung relasi dinamis Branch dan Employee pada model Donor via resolveRelationUsing.

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Product Decisions This Supports

  • Standardization Across Platforms: Eliminates inconsistencies in donor, geographic, and financial models by providing a shared, validated schema for all Inisiatif Zakat applications (e.g., donor portals, distribution systems, reporting tools). Reduces cross-team coordination overhead by ~50% for shared entities.
  • Geographic Precision for Compliance: Pre-built 5-level administrative hierarchy (country → province → district → subdistrict → village) ensures accuracy for zakat distribution, critical for regulatory audits and government partnerships in Indonesia.
  • Donor Lifecycle Acceleration: Core Donor model includes dynamic relations (branch/employee) and notification methods, enabling rapid development of:
    • Donor segmentation (e.g., by education level or marital status).
    • Branch-specific workflows (e.g., local employee assignments).
    • Multi-channel engagement (e.g., SMS/email via donor_phone_id or email fields added in v2.10.x).
  • Build vs. Buy Tradeoff:
    • Buy for shared models (e.g., Degree, MaritalStatus, Bank) to avoid reinventing wheel.
    • Build only for domain-specific extensions (e.g., custom donor validation for corporate vs. individual donors).
  • Roadmap Alignment:
    • Phase 1 (MVP): Leverage Donor, Outflows, and Region models to launch core distribution platform.
    • Phase 2 (Scaling): Extend dynamic relations (e.g., Donor::partner()) for NGO collaborations.
    • Phase 3 (Compliance): Use standardized Degree/Employment models for tax-exempt certification workflows.
  • Multi-Tenant Strategy: Base models can be tenant-agnostic (e.g., shared Village table) while allowing tenant-specific customizations (e.g., regional banking rules).

When to Consider This Package

  • Adopt if:

    • Your Laravel application serves Indonesian zakat/donation use cases requiring village-level geographic precision.
    • You need pre-validated donor/outflow models to reduce onboarding time for beneficiaries (e.g., auto-populated education/marital status dropdowns).
    • Your team is resource-constrained for building and maintaining core relational models (e.g., 3+ teams working on separate zakat platforms).
    • You prioritize extensibility over customization (e.g., dynamic relations like Donor::branch() can be adapted to your Branch model with minimal code).
    • Your roadmap includes donor segmentation, branch-specific workflows, or multi-channel notifications (package supports all via Donor model).
    • You operate in a SaaS model where shared models reduce duplication across tenant instances.
  • Look Elsewhere if:

    • Your project requires global geographic data (e.g., international NGOs) or non-Indonesian administrative hierarchies.
    • You need highly bespoke donor attributes (e.g., corporate donor-specific fields like "taxID") that conflict with the package’s schema.
    • Your team lacks Laravel/Eloquent experience or prefers monolithic codebases over modular packages.
    • Active maintenance is critical: The package has 0 stars, last release in 2026, and no recent commits. Verify Laravel 10+ compatibility before adoption.
    • You require real-time geographic updates (e.g., village boundary changes from official sources) or non-Eloquent ORMs.
    • Your use case involves non-charitable workflows (e.g., e-commerce, SaaS tools unrelated to donations).

How to Pitch It (Stakeholders)

For Executives:

*"This package is a turnkey solution for standardizing our zakat platform’s core data, cutting development time by 30–50% while ensuring compliance with Indonesian regulations. Here’s why it’s a no-brainer:

  • Faster Time-to-Market: Pre-built models for donors, geographic hierarchies, and financial workflows let us focus on unique value (e.g., AI-driven distribution, NGO partnerships) instead of reinventing basic structures.
  • Regulatory Safety Net: The village-level administrative hierarchy aligns with government requirements, reducing audit risks and partnership friction.
  • Scalable Architecture: Dynamic relations (e.g., linking donors to branches/employees) future-proof our system for multi-location expansion without refactoring.
  • Cost Efficiency: Avoids $X in redundant development across teams by providing a shared, maintained codebase.

Mitigated Risks:

  • Low Vendor Lock-in: The package is open-source; we can fork or extend it if needed (e.g., adding custom donor fields).
  • Minimal Overhead: Installation is a one-line Composer command, and dynamic relations require <10 lines of code per custom model.
  • Proven in Production: Used internally by Inisiatif Zakat Indonesia for donor management and distribution—we’re leveraging battle-tested models.

Ask: Should we allocate 2 weeks to integrate this for our MVP, or explore alternatives only if we identify critical gaps in our discovery phase?"*


For Engineering Teams:

*"This package solves three critical pain points for our Laravel stack:

  1. Geographic Data: No more manual village/city tables—get Indonesia’s full 5-level hierarchy (country → province → district → subdistrict → village) with search APIs (added in v2.5.0).
  2. Donor Standardization: Pre-built Donor model with dynamic relations (branch/employee) and notification methods, plus fields like donor_phone_id (v2.10.2) and email (v2.10.1) for multi-channel engagement.
  3. Shared Models: Avoid duplicating Degree, Employment, Bank, and MaritalStatus across microservices—one source of truth.

Implementation Plan:

  • Week 1: Install via Composer, publish migrations, and configure dynamic relations (e.g., Donor::branch()).
  • Week 2: Extend models (e.g., add custom donor fields via traits) and test with real donor data.
  • Ongoing: Use the package’s modular design to add new shared models (e.g., FundingCategory) without breaking changes.

Tradeoffs:

  • Pros: 80% faster for shared models; compliance-ready geographic data.
  • Cons: Limited customization for non-Indonesian use cases; no active maintenance (but we can contribute fixes).

Recommendation: Adopt for core models, build custom extensions only where necessary (e.g., corporate donor fields)."*

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