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All Journal INFORMATIKA Journal Ashil: Jurnal Pendidikan Anak Usia Dini
Dicky Anggriawan Nugroho
Universitas Islam Negeri K.H Abdurrahman Wahid Pekalongan
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Mechanical Engineering Other

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Multimedia Interaktif Berbasis Games Edukatif guna Mengembangkan Kecerdasan Visual Spasial Anak Usia Dini di RA Muslimat NU Rowolaku Dicky Anggriawan Nugroho; Dini Khanifatun Najah; Adillah Afni Labibah; Salwa Salsabila
Journal Ashil: Jurnal Pendidikan Anak Usia Dini Vol. 5 No. 1 (2025): Journal Ashil: Jurnal Pendidikan Anak Usia Dini
Publisher : Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/piaud.v5i1.6306

Abstract

This research aims to develop the visual spatial intelligence of early childhood through interactive multimedia based on educational games at RA Muslimat NU Rowolaku, Kajen District. Visual spatial intelligence is essential in supporting a child's ability to understand shapes, colors, and spaces, which has a significant impact on their cognitive development. This research method is qualitative with a descriptive approach. Data were collected through observation, interviews, and documentation, and analyzed to see the impact of educational games on children's visual spatial abilities. The results of the study show that the use of interactive multimedia based on educational games effectively improves the visual spatial skills of early childhood. This is reflected in the improvement of children's ability to recognize shapes, arrange patterns, and improve skills in solving space-based problems. Educational games provide a more fun and interesting learning experience, so that they can motivate children to learn more creatively and interactively. Thus, interactive multimedia based on educational games can be an effective alternative method in the learning process in early childhood education institutions.
PERBANDINGAN DETEKSI MALWARE SIGNATURE DAN MACHINE LEARNING PADA ZERO-DAY DAN DRIFT Muhammad Irfan Ali; Meiffio Hasanain; Bima Adi Nugroho; Muhammad Humam Sukma; Dicky Anggriawan Nugroho
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i1.1514

Abstract

Penelitian ini menganalisis dan membandingkan efektivitas metode deteksi malware berbasis signature dan berbasis machine learning dengan fokus pada serangan zero-day dan tantangan concept drift. Metode berbasis signature tetap efisien dalam mendeteksi malware yang telah dikenal karena kestabilan dan tingkat false positive yang rendah, namun tidak mampu mendeteksi ancaman baru tanpa pembaruan basis data. Sebaliknya, pendekatan machine learning menunjukkan kemampuan yang kuat dalam mengenali pola malware baru melalui pembelajaran fitur statik maupun dinamik, namun rentan mengalami penurunan akurasi dan peningkatan false positive akibat concept drift. Melalui tinjauan literatur sistematis terhadap studi ilmiah periode 2020 sampai 2025, penelitian ini mengevaluasi kedua metode menggunakan metrik seperti akurasi, F1-score, ROC-AUC, dan False Positive Rate (FPR). Penelitian ini mengusulkan kerangka deteksi hybrid dua lapis yang menggabungkan deteksi signature sebagai penyaring awal dan machine learning untuk analisis adaptif. Hasil penelitian menunjukkan bahwa metode hybrid memberikan perlindungan lebih baik terhadap serangan zero-day sekaligus mempertahankan efisiensi operasional pada lingkungan malware yang terus berubah.
Co-Authors Adillah Afni Labibah Bima Adi Nugroho Dini Khanifatun Najah Meiffio Hasanain Muhammad Humam Sukma Muhammad Irfan Ali Salwa Salsabila