Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Semantik : Jurnal Riset Ilmu Pendidikan, Bahasa dan Budaya Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Jurnal Sistem Informasi dan Ilmu Komputer
Muhammad Adzka
Unknown Affiliation
Aerospace Engineering Arts Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Languange, Linguistic, Communication & Media

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Perancangan dan Pengembangan Platform Kursus Coding Berbasis Digital untuk Mendukung Pembelajaran Teknologi Daffarizqy Prastowiyono; Muhammad Adzka; R. Bramaditya Ario Wirawisesa; Wien Kuntari
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 6 (2024): November : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i6.639

Abstract

Mastering technology is essential in the digital age, particularly for building programming skills. However, a lack of access to good learning materials and adaptable learning systems remains a major challenge. This research intends to create a digital-based coding course platform that effectively and efficiently supports technical learning. To provide the best learning experience, the platform includes different features such as organized learning materials, hands-on exercises, and automated evaluations. The development methods used include analyzing user needs and implementing modern web technologies. Testing results indicate that the platform can enhance users' grasp of coding concepts and encourage them to keep learning. The platform is anticipated to offer innovative solutions for technology education for various groups, from students to professionals.
Analisis Manfaat Aplikasi SakuJapan untuk Pembelajaran Keterampilan Dasar Bahasa Jepang Mahasiswa di Sekolah Vokasi IPB Bagus Hardika; Mahesa Dzikri Kurniawan; Daffarizqy Prastowiyono; Muhammad Adzka; Humanisa Rubina Lestari
Semantik : Jurnal Riset Ilmu Pendidikan, Bahasa dan Budaya Vol. 3 No. 3 (2025): August: Semantik : Jurnal Riset Ilmu Pendidikan, Bahasa dan Budaya
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/semantik.v3i3.1788

Abstract

Language is crucial for human interaction, making foreign language education, especially Japanese, increasingly vital in the global era. Indonesia holds the second-highest number of Japanese learners globally. This study evaluates SakuJapan, a Japanese learning application, to enhance basic Japanese skills among IPB Vocational School students. Using a quantitative descriptive approach with 20 students, data was collected via online questionnaires on usage, features, effectiveness, and motivation. Findings show SakuJapan is an effective and user-friendly tool; 75% of respondents regularly use features like Hiragana, Katakana, vocabulary, and practice questions. The application scored an average effectiveness of 4.3 out of 5, with 85% of users gaining confidence in basic Japanese. While generally well-received, suggestions include offline features, varied exercises, adjustable game difficulty, and more audio, daily conversations, and JLPT-standardized tests. These insights guide further development for a more comprehensive and adaptive learning platform.
Penerapan Klasifikasi Gambar Buah dalam Aplikasi FruityLens Menggunakan Metode CNN Bagus Hardika; Mahesa Dzikri Kurniawan; Muhammad Adzka; Daffarizqy Prastowiyono; Apik Banyubasa; Gema Parasti Mindara; Endang Purnama Giri
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 4 (2024): November : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i4.4275

Abstract

This research develops a fruit classification system using Convolutional Neural Network (CNN) in the educational application FruityLens, which helps children recognize different types of fruits through image recognition. The application can identify four types of fruits: apple, banana, orange, and watermelon, utilizing an image dataset from open sources. The research methods include dataset collection, image pre-processing, CNN model training, and classification accuracy evaluation. The results indicate that the developed CNN model achieves high accuracy, supporting children's learning about fruits. This implementation is expected to contribute to the advancement of artificial intelligence technology, specifically in the field of fruit object recognition.
Co-Authors Apik Banyubasa Bagus Hardika Daffarizqy Prastowiyono Endang Purnama Giri Gema Parasti Mindara Humanisa Rubina Lestari Kuntari, Wien Mahesa Dzikri Kurniawan R. Bramaditya Ario Wirawisesa