Learn Indonesian (Beginners) vs FiloBatik

Want to learn Indonesian in an easy and flexible way? With over 30 million downloads worldwide, the BNR Languages apps help you study Indonesian in a practical, simple, and independent way. The complete course allows you to start from scratch, learn the alphabet, build your vocabulary, and practice reading, writing, and listening with native audio recordings. Study on your own, at your own pace, with no daily limits, and use the review mode to reinforce everything you've already learned. Perfect for anyone who wants to learn Indonesian quickly — whether for travel, study, work, or to communicate better with family and friends. Find out why our app is the ideal choice to study anytime, anywhere: - Offline Indonesian course — from beginner to advanced levels. - Study independently, at your own pace, without the need for teachers. - No time limits or daily activity restrictions. - Interactive exercises with images that make learning easier. - Review mode to practice and refresh the content. - Native audio recordings with adjustable playback speed. - Different types of exercises: reading, writing, and listening. - Intuitive and easy-to-use interface for all ages. - Join the weekly ranking and compete with other users. - The app works completely offline — no internet connection needed. - All content is available for free. Download now and start learning Indonesian in a simple, practical, and flexible way — at your own pace! Terms of use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

FiloBatik is an educational research tool for exploring Indonesian batik. Photograph a cloth — or pick one from your gallery — and FiloBatik gives you an estimated motif name, its character, and its likely region of origin, then places it on the "batik phylomemetic tree": a reconstructed map of kinship between archipelago batik motifs, based on Situngkir (2009), "The Phylomemetics of Batik" (Bandung Fe Institute). SCIENTIFIC HONESTY FiloBatik is a research reconstruction for learning, NOT an expert appraiser. Its output is a ranked estimate (top-3 candidate regions with confidence levels), never a verdict. For authentication or curation, please consult batik curators and experts. FEATURES • Opening screen: the "Batik Phylomemetic Tree" — a zoomable circular dendrogram with a short bilingual introduction. • Photograph a cloth with the camera, or pick an image from the photo gallery. • Detection gate: when an image is NOT batik, the app says so plainly, with the reason. • Estimated motif name (e.g. "Besurek Diagonal") from the closest reference cloth, with an origin and character description extracted from catalogue captions (OCR). • Estimated origin: top-3 candidate regions with confidence bars, plus placement into the four phylomemetic branches — Court/Vorstenlanden, Central-Java Coast, West Java, and Outer Centres & the Archipelago. • "Position on the phylomemetic tree": a reconstructed radial tree (root → 4 branches → regions) with the identified region ring-marked. • A real, zoomable map of Indonesia (Apple Maps): batik centres as pins — sized by the number of reference motifs, coloured by branch — with the identified region ringed. • A "memeplex fingerprint" of your photo: fractal dimension and dominant colour palette — the two core traits of Situngkir's method. • Fully bilingual Indonesian/English with an in-app toggle; follows the system language. PRIVACY, FULLY ON-DEVICE All classification runs on your device (Apple Vision FeaturePrint plus classical "memeplex" features against an internal batik reference). Photos NEVER leave the device — no uploads, no server, no account, no ads, no tracking. The only network use is Apple Maps tiles for the distribution map; classification works fully offline. ATTRIBUTION Reference imagery and captions are derived from the open Perpustakaan Digital Budaya Indonesia (budaya-indonesia.org), as used in the original research. Poster/tree visual © Bandung Fe Institute (Situngkir). Scientific basis: Situngkir, H. (2009), "The Phylomemetics of Batik", BFI Working Paper WP-8-2009, Bandung Fe Institute.