Observed Signal · May 19, 2026 · Technical Guide · Source: DEV Community · Impact: 1/5 · Sentiment: Neutral
Database Schema Breakdown
A technical blog post by Aris Candra Muzaffar (DEV Community) outlines a simple transactional database schema and main entity relationships for an e-commerce-like system. The author identifies core entities—pengguna (users) and produk (products)—and describes relations including profil_karyawan (1:1 to pengguna), transaksi (many-to-one to pengguna, id_pengguna nullable), detail_transaksi (items linked to transaksi and produk), stok (treated as one-to-one with produk but without a UNIQUE constraint), and log_aktivitas (many-to-one to pengguna, nullable). The post highlights implementation details: harga_saat_transaksi is stored in detail_transaksi as a price snapshot; fcm_token records id_auth as a raw UUID (tied to the auth layer, possibly Supabase Auth) rather than a foreign key to pengguna.id. A simple ASCII flow diagram summarizes primary flows between tables.
Developer-focused database schema and implementation notes are useful for engineers building transactional systems but represent low-impact, narrowly scoped technical guidance for the broader AdTech/MarTech industry.
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Key Takeaways & Evidence Grounding
- Published on DEV Community by Aris Candra Muzaffar on 2026-05-19.
- Core entities: 'pengguna' (users) and 'produk' (products).
- Table relations: profil_karyawan 1:1 → pengguna; transaksi M:1 → pengguna (id_pengguna nullable); detail_transaksi M:1 → transaksi and M:1 → produk; stok linked to produk and treated logically 1:1 without UNIQUE constraint; log_aktivitas M:1 → pengguna (nullable).
- detail_transaksi stores 'harga_saat_transaksi' as a price snapshot separate from produk.price.
- fcm_token stores 'id_auth' (raw UUID) tied to an auth layer (possibly Supabase Auth) rather than a foreign key to pengguna.id.
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4 Entities mappedOntology Mapping & Concepts
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