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RISTEK Sync 9th Dec 2022

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RISTEK Sync 9th Dec 2022

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Jonathan Filbert

January 18, 2026
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  1. Appreciation Board Internal Class Mor projects! Guest lecture Thank you

    PM! Tetap semangat ngerjain proyek-proyeknya yang cool abis😎
  2. What You’ll Do More exciting event collaboration More High quality

    content on our social media More engaging ristalk with cool guest More enlightening medium posts
  3. What You’ve Done External Project The Living Quran Aplikasi Al

    Quran yang membantu pembaca mempelajari alquran sesuai urutan kronologis turunnya ayat Houmi Lorem ipsum
  4. What We’ve Done Internal Classes (Git, Game Design & GDD,

    Design Patterns, Art, Character Design) Recreate Game Features
  5. What We’ll Do - thinking to make a gallery of

    games jika banyak project berhasil dibuat. Why: Pada awal saat mau masuk oprec gamedev, HA mencari karya yang telah dibuat divisi tersebut tetapi bingung mencari dimana. Sebuah website/page terdedikasi untuk galeri game akan memudahkan pengguna mengetahui karya kami. - Internal Consultation Session agar setiap anggota dapat menyampaikan unek-uneknya saat kegiatan divisi ini berjalan.
  6. For spending hours of their free time to design the

    super cool PMB web! For designing SusunJadwal and went through with the tiring beta testing! Della Najmi Eugene Aaya Raul Farah Thalia Rio Appreciation Board
  7. For participating in external projects that help boost RISTEK’s status!

    For designing the super cool RISTEK main website! (coming soon) Ludi Ariq Appreciation Board
  8. And of course, to everyone who ever worked with DPD

    From PM, webdev, PR, product, to managing directors Thank you for being an amazing person to work with! Appreciation Board
  9. IoT

  10. PMB (Pansos) Recommendation System 6x Internal Classes Includes 1 with

    Data Scientist GOJEK Covering materials from classical machine learning to cutting-edge NLP implementation What have we done ?
  11. Participate in GEMASTIK XIV 4th place in Shopee Code League

    2021 (Rank 1 in Indonesia) What have we done ?
  12. What You’ll Do - Collab dengan project lain yang berpotensi

    ditambahkan AI power - Mempersiapkan member dengan materi-materi terbaru untuk lomba
  13. Project Highlight: PMB Recommendation System Recommendation System Algorithm(s): - Heuristics

    Recommendation - Matrix Factorization - Friend-of-friends Recommendation (with link prediction) Accuracy (Latest 16 Aug 9am) = 83% TECH-STACKS