AskApotek

AI-powered pharmacy & medication Q&A — ask about drugs, dosages, and interactions, backed by Retrieval-Augmented Generation over verified pharmacy sources.

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How it works

Evidence-based answers, not guesses

Every response is grounded in a verified medication knowledge base, retrieved and ranked before the AI ever writes an answer.

RAG Retrieval

Hybrid dense + keyword search over a structured drug database finds the most relevant context before generating a response.

Gemini-powered

Google Gemini generates natural, contextual answers in Bahasa Indonesia and English, grounded in retrieved sources.

Verified sources

Dosage, side effects, and interaction data are curated and indexed by pharmacists, not scraped from the open web.

Academic Research

Funded by Kemdiktisaintek — DRTPM 2026

Skema Penelitian Dosen Pemula · Institut Desain & Bisnis Bali

"Pengembangan Chatbot AI Berbasis Gemini API dan RAG-Database untuk Layanan dan Edukasi Obat pada Bisnis Digital Apotek"

AIChatbotRAGScrumApotek

Kebaruan

Integrasi RAG + Gemini API pertama untuk chatbot apotek digital di Indonesia
Pendekatan multimodal untuk edukasi obat (teks, pengingat dosis, efek samping)
Pemanfaatan AI & Big Data untuk layanan apotek yang lebih personal dan akurat

Target Luaran

Artikel SINTA 3 HKI Aplikasi Android — Google PlayStore

TKT 2 → TKT 3 · Mendukung SDG 3 (Kesehatan yang Baik dan Sejahtera)

Research Team

Tim Peneliti

Institut Desain & Bisnis Bali · Kontrak Penelitian 2026

Ketua Peneliti

Ir. I Made Satrya Ramayu, S.Kom., M.Kom.

Anggota Peneliti

Luh Nik Oktarini, S.E., M.M.

Anggota Peneliti

Ns. I Dewa Agung Gde Fanji Pradiptha, M.Kep.

Anggota Peneliti

Gede Puspa, S.E., M.Kom.