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All Journal Abdi Cendekia: Jurnal Pengabdian Masyarakat Jurnal Informatika dan Rekayasa Komputer
Husni Naparin
Universitas Islam Negeri Antasari Banjarmasin
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Eksplorasi Perancangan UI/UX Aplikasi Mobile dengan Pendekatan Design Thinking bagi Siswa SMK Garuda Mahadhika Muhayat Muhayat; Wifda Muna Fatihia; Surya Eka Priyatna; Husni Naparin; Rifqi Mulyawan; Husin Nafarin Ramadhani; Haikal Al-Farabi
Abdi Cendekia : Jurnal Pengabdian Masyarakat Vol 5 No 3 (2026): September
Publisher : Yayasan Zia Salsabila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61253/abdicendekia.v5i3.1194

Abstract

Perkembangan teknologi digital menuntut siswa Sekolah Menengah Kejuruan (SMK) memiliki kompetensi yang tidak hanya berkaitan dengan pemrograman, tetapi juga kemampuan merancang produk digital yang berorientasi pada kebutuhan pengguna. Permasalahan serupa ditemukan pada siswa SMK Garuda Mahadhika yang memiliki keterbatasan pengalaman dalam perancangan UI/UX dan belum pernah menggunakan Figma sebagai alat perancang prototipe modern. Kegiatan Pengabdian kepada Masyarakat  ini bertujuan meningkatkan pemahaman dan keterampilan dasar siswa dalam menerapkan design thinking, UI/UX, dan perancangan prototipe aplikasi mobile menggunakan Figma. Kegiatan dilaksanakan dalam bentuk pelatihan dan pendampingan praktik yang meliputi pengenalan konsep design thinking, brainstormingmenggunakan metode Crazy Eight, perancangan prototipe dengan Figma, serta implementasi hasil desain ke dalam pengembangan aplikasi. Kegiatan diikuti oleh 15 siswa dan dievaluasi menggunakan pretest dan post-test untuk mengukur perubahan pemahaman peserta. Hasil evaluasi menunjukkan peningkatan nilai rata-rata dari 72 pada pretest menjadi 83,33 pada post-test, dengan median yang meningkat dari 80 menjadi 90. Peningkatan rata-rata sebesar 11,33 poin atau 15,74% menunjukkan adanya peningkatan pemahaman peserta setelah mengikuti kegiatan. Selain itu, peserta memperoleh pengalaman praktik dalam mengidentifikasi kebutuhan pengguna, menghasilkan ide desain, dan menerjemahkannya ke dalam prototipe aplikasi mobile menggunakan Figma. Kegiatan ini menunjukkan bahwa workshop berbasis praktik dengan pendekatan design thinking dapat menjadi alternatif pembelajaran untuk memperkenalkan proses perancangan UI/UX secara sistematis sekaligus memperkuat literasi dan kesiapan digital siswa SMK.
Analisis Tren dan Kebaruan Pendekatan Hybrid Transformer untuk Meningkatkan Akurasi Deteksi Hoaks Berbahasa Indonesia Muhayat Majeni; Husni Naparin; Rifqi Mulyawan
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 6 No 1 (2026): JAKAKOM Vol 6 No 1 APRIL 2026
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2026.6.1.2873

Abstract

This study aims to analyze the developments, gaps, and methodological novelties in Indonesian-language hoax detection techniques, focusing on the transition from classical machine learning approaches to deep learning models and transformer-based architectures. The research method used was a non-SLR literature review of 31 Scopus-indexed national, international, and international journal articles published between 2019–2025. Data is extracted through a structured analysis sheet that includes dataset characteristics, algorithm models, linguistic features, evaluation metrics, and quantitative performance results. The results show a significant evolution: SVM-based and Naive Bayes-based approaches produce an accuracy of 85–97%, while deep learning models such as CNN, LSTM, and GRU achieve 90–99%. Transformer-based models such as IndoBERT and RoBERTa record the highest performance with an accuracy of 94–99.5%, along with better computing efficiency. Hybrid approaches such as Bi-LSTM + IndoBERT and CNN-LSTM show the most stable and superior performance compared to single models. The study also identified key gaps in model interpretability, unbalanced data handling, and integration of multimodal approaches. In conclusion, the development of the Indonesian hoax detection methodology shows a direction towards a more contextual, efficient, and adaptive system. These findings make an important conceptual contribution to the development of a hoax detection system that is more transparent, reliable, and relevant to today's digital information challenges.
Co-Authors Haikal Al-Farabi Husin Nafarin Ramadhani Muhayat Majeni Muhayat Muhayat Rifqi Mulyawan Surya Eka Priyatna Wifda Muna Fatihia