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Pengaruh Penerapan Model Pembelajaran Discovery Learning Dengan Pendekatan Saintifik Terhadap Hasil Belajar Siswa: The Effect of Application of Discovery Learning Learning Models with a Scientific Approach to Student Learning Outcomes Nurhani; Lutfi Rohmawati; Poy Saefullah Zevender
Jurnal Kolaboratif Sains Vol. 6 No. 12: DESEMBER 2023
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v6i12.4459

Abstract

literatur riview ini bertujuan untuk mengetahui Pengaruh Penerapan Model Pembelajaran Discovery Learning Dengan Pendekatan Saintifik Terhadap Hasil Belajar Siswa Pada Pelajaran IPS. Penelitian ini menggunakan metode literatur riview. Data untuk penelitian ini dikumpulkan dari penelusuran jurnal di berbagai sumber elektronik, seperti internet, koleksi jurnal, dan menggunakan layanan Google Scholar serta aplikasi yang bernama publish or perish. Jurnal diterbitkan dalam rentang waktu 2016 hingga 2023. Berdasarkan hasil pencarian dan penelusuran data menghasilkan 5 jurnal terpublikasi yang sudah memenuhi syarat. Hasil literatur riview menunjukkan bahwa pembelajaran discovery dengan pendekatan saintifik memiliki dampak positif dan signifikan terhadap hasil belajar siswa dalam berbagai satuan pendidikan. Hal ini dapat dilihat dari peningkatan pencapaian hasil belajar siswa setelah menerapkan model pembelajaran.
Fuzzy-Driven Adaptive NPC Behavior in a Meme-Based Platformer Game for Android Mobile: Perilaku NPC Adaptif Berbasis Fuzzy dalam Game Meme Platformer Berbasis Ponsel Android Encep Sayid Amrulloh; Rio Andriyat Krisdiawan; Iwan Lesmana; Lutfi Rohmawati
NUANSA INFORMATIKA Vol. 19 No. 2 (2025): Nuansa Informatika 19.2 Juli 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i2.440

Abstract

Game-based applications are increasingly used beyond entertainment to deliver adaptive, engaging user experiences. Yet, many mobile platformer games still rely on static enemy behaviors, leading to repetitive gameplay. This study introduces Pepe the Ponderland Warrior, a 2D platformer for Android that incorporates culturally relevant meme characters and dynamic NPC behavior using fuzzy logic. Developed with the Game Development Life Cycle (GDLC), the game uses the Fuzzy Sugeno inference system to adapt NPC responses based on player distance, health, and damage received. UML modeling guided the system design, while testing included black-box, white-box, and User Acceptance Testing (UAT). The fuzzy-based system enabled real-time, context-aware NPC decisions, creating more varied and challenging gameplay. The game passed functional and logical testing, with UAT from 30 users producing a high feasibility score of 81.2%, reflecting satisfaction in design, gameplay, and difficulty balance. By integrating fuzzy logic with meme-inspired content, this study offers a novel and efficient AI approach for mobile games, highlighting potential for expansion across platforms and with more adaptive inputs.