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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Sahwahita: Community Engagement Journal
Wibowo, Dhimas Bagus Bimasena
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering

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Deteksi Motif Batik Menggunakan Pre-Trained Convolutional Neural Network EfficientNet pada Aplikasi Mobile Wibowo, Dhimas Bagus Bimasena; Rahayudi, Bayu; Muflikhah, Lailil
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 9 No 6 (2025): Juni 2025
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesia memiliki kekayaan budaya yang mendunia, salah satunya adalah batik yang sejak tahun 2009 telah diakui UNESCO sebagai Warisan Budaya Tak Benda. Pengetahuan masyarakat yang minim, terutama generasi muda, terhadap ragam motif batik yang kaya makna menjadi tantangan dalam pelestariannya. Penelitian ini bertujuan untuk mengembangkan sistem deteksi motif batik berbasis machine learning melalui perangkat mobile guna mempermudah proses identifikasi batik sekaligus mengkaji pengaruh pemilihan hyperparameter terhadap kinerja model, serta melihat apakah terjadi penurunan performa setelah integrasi ke aplikasi mobile. Proses penelitian meliputi enam tahap dimulai dari Data Collection, Data Preprocessing, Data Augmentation, Hyperparameter Tuning, Model Training, dan Model Evaluation. Dataset yang digunakan berasal dari Kaggle dengan total 1.350 gambar dari 15 kelas motif batik, yang kemudian diperluas menjadi 3.845 gambar melalui augmentasi. 24 skenario kombinasi hyperparameter diuji untuk memperoleh model terbaik, yang kemudian dikonversi ke format TFLite dan diintegrasikan ke aplikasi mobile berbasis Kotlin. Pengujian menggunakan 300 gambar uji menghasilkan nilai f-measure rata-rata sebesar 0.79, sama dengan hasil evaluasi model sebelum integrasi, yang menunjukkan bahwa performa model tetap stabil. Hasil ini menunjukkan bahwa aplikasi deteksi motif batik berbasis machine learning ini berpotensi menjadi sarana edukatif dan pelestarian budaya yang efektif.
Digital Transformation Training for Village Community Groups in Efforts to Turn Sumberejo Village into a Smart Village Yunas, Novy Setia; Wibowo, Dhimas Bagus Bimasena; Ratu, Jessica Gustriana; Novarani, Nabila; Putri, Pangestika Maharani; Mairisa, Puti Zanira; Muhammad, Aliyu Dahiru
Sahwahita: Community Engagement Journal Vol. 1 No. 2 (2024): Community Engagement Journal
Publisher : Yayasan Pendidikan Islam Bustanul Ulum Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69965/sahwahita.v1i2.77

Abstract

The rapid development of technology in the world which is beneficial for people's lives means it is necessary to master technology as time goes by. This training aims to enable students to provide ideas based on knowledge, to grow and accelerate movement in preparing future cadres and accelerate the achievement of a Smart Village in Sumberejo Village. There are several digital training provided, such as training on using editing applications, namely Canva and Filmora, training on creating and maintaining social media, namely village Instagram and YouTube, training on maintaining and optimizing village websites, and training on financial report management applications for BUMdes. This program was implemented well and smoothly because a regular socialization and training agenda had been implemented for village cadres according to their chosen interests. Regular training is needed for cadres to be able to master soft skills better, and of course, support from the village government is needed for cadres to facilitate the learning process so that it can be useful for village progress.
Co-Authors Bayu Rahayudi Lailil Muflikhah Mairisa, Puti Zanira Muhammad, Aliyu Dahiru Novarani, Nabila Novy Setia Yunas Putri, Pangestika Maharani Ratu, Jessica Gustriana