Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal CommIT (Communication & Information Technology) Jurnal Pelita Pengabdian El-Mujtama: Jurnal Pengabdian Masyarakat
Anggi Muhammad Rifai
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

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

Found 3 Documents
Search

 1 
Advancing Cross-Cultural Natural Language Processing with a Focus on Sundanese Language and Contextual Nuances Anggi Muhammad Rifai; Ema Utami; Amali Amali; Muhamad Fatchan; Muhamad Ekhsan
CommIT (Communication and Information Technology) Journal Vol. 20 No. 1 (2026): CommIT Journal (in press)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Sundanese language, as one of Indonesia’s regional tongues, holds deep cultural value but is still underrepresented in computational linguistics. The research addresses this gap by developing a translation model between Sundanese and Indonesian using a transformer-based sequence-to-sequence (Seq2Seq) architecture. With a parallel dataset of 3,616 sentence pairs, the model is fine-tuned to capture linguistic and contextual subtleties. The evaluation yields strong results: Bilingual Evaluation Understudy (BLEU) score of 44.12, Recall - Oriented Understudy for Gisting Evaluation (ROUGE)-1 F1-Score of 0.72, and ROUGE-L F1-Score of 0.71. Those demonstrate high translation quality despite limited data. Unlike earlier Sundanese translation studies that rely on Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), or standard transformer models, this research uniquely leverages the multilingual pretrained M2M100 Transformer, enabling transfer learning from high-resource languages to improve low-resource performance. These outcomes highlight the model’s potential for real-world applications, such as translation tools for education and cultural exchange. The research emphasizes the importance of improving access to Sundanese texts and promoting its digital presence to aid in language preservation. Overall, the research not only advances Natural Language Processing (NLP) research for low-resource languages but also reinforces the importance of integrating regional languages like Sundanese into modern technology. Building upon prior studies on Indonesian–Sundanese translation, the research novelty lies in fine-tuning a multilingual Seq2Seq Transformer that captures both linguistic and contextual nuances, thereby setting a new benchmark for lowresource language processing.
Pemberdayaan Ekonomi yang Inklusif dan Berkelanjutan: Kemandirian UKM Penyandang Disabilitas di Bekasi Surya Bintarti; Anggi Muhammad Rifai; Novi Fitria Hermiati
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 6 No. 1 (2026): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v6i1.10822

Abstract

This community service program focuses on the economic empowerment of people with disabilities at the Independent Disability Shelter (RUMSIDISMA) Bekasi by strengthening the capacity of culinary MSMEs that still face various obstacles, such as limited production accessibility, low managerial performance, minimal product innovation, and weak digital marketing. Through a comprehensive approach that includes business management training, product innovation, digital marketing, intensive mentoring, and the application of technology such as websites and digital content marketing, this program aims to improve production quality, expand market access, strengthen branding, and encourage inclusive economic independence. All activities are designed to align with the SDGs, IKU, and Asta Cita, with measurable output targets such as improving MSME performance, creating branding designs, creating promotional content, strengthening marketing strategies, and scientific publications, so as to be able to realize business sustainability and improve the welfare of the disability community in a real way.
Implementasi Aplikasi Manajemen Laundry Berbasis Mobile untuk Meningkatkan Efisiensi Operasional UMKM yogi yulianto; Aji Anggono; Muhammad Axcel Rayya Sulantika Putra; Enur Hotimah; Anggi Muhammad Rifai
Jurnal Pelita Pengabdian Vol. 4 No. 2 (2026): Juli 2026
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) di sektor laundry umumnya masih mengandalkan pencatatan manual yang seringkali rentan terhadap kesalahan, kehilangan data, dan tidak efisien secara operasional. Penelitian ini bertujuan untuk mengimplementasikan dan mengevaluasi aplikasi manajemen laundry berbasis mobile pada Laundry Eka PGRI, Kota Depok, menggunakan React Native (Expo) sebagai frontend dan Supabase sebagai platform backend. Metode yang digunakan meliputi analisis kebutuhan, perancangan sistem, pengembangan, pengujian (Black Box Testing dan User Acceptance Testing), pelatihan, serta pendampingan pasca-implementasi. Hasil penelitian menunjukkan bahwa aplikasi berhasil mengintegrasikan fitur dashboard, manajemen produk/layanan, manajemen pelanggan, transaksi POS, pengeluaran, dan riwayat transaksi. Seluruh transaksi harian beralih ke sistem digital, data pelanggan tersimpan secara terpusat, dan laporan keuangan dapat diakses kapan saja. Implementasi ini tidak menimbulkan biaya operasional tambahan karena memanfaatkan infrastruktur free tier. Kesimpulannya, aplikasi mobile berbasis React Native dan Supabase terbukti efektif meningkatkan efisiensi operasional UMKM laundry dan dapat dijadikan model replikasi bagi UMKM sejenis
Co-Authors Aji Anggono Amali Amali Ema Utami Enur Hotimah Muhamad Ekhsan Muhamad Fatchan Muhammad Axcel Rayya Sulantika Putra Novi Fitria Hermiati Surya Bintarti Yogi Yulianto