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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
Jurnal Riset Ilmu Pendidikan, Bahasa dan Budaya
Vol 3
, No 3
(2025)
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...
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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)
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 ev...
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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)
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...
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