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DESA CERDAS DI ERA DIGITAL : TRANSFORMASI UMKM MELALUI LEGALITAS, PEMASARAN DIGITAL DAN PENGELOLAAN KEUANGAN Robby Maududy; Memey Meina; Sely Sri Mulyani; Dea Asri; Silmi Tazkiah; Nurul Aulia Nisa; Winarningsih Julianti
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 3 No. 6 (2025): Desember
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v3i6.3235

Abstract

Pengabdian ini bertujuan untuk meningkatkan kapasitas UMKM di Desa Karangresik melalui transformasi digital dengan fokus pada legalitas usaha, pemasaran digital, dan pengelolaan keuangan sederhana. Metode pengabdian yang digunakan berbasis partisipatif dengan tahapan asesmen kebutuhan, pendampingan legalitas, pelatihan pemasaran digital, serta pelatihan pengelolaan keuangan, disertai monitoring dan evaluasi partisipatif terhadap peserta. Hasil pengabdian menunjukkan bahwa 21 UMKM telah memperoleh Nomor Induk Berusaha (NIB) dan beberapa sertifikat halal, kemampuan pemanfaatan media sosial, marketplace, dan konten promosi meningkat, serta peserta mampu melakukan pencatatan transaksi harian, penyusunan arus kas, dan laporan keuangan sederhana. Simpulan pengabdian ini menunjukkan bahwa integrasi legalitas, pemasaran digital, dan tata kelola keuangan secara signifikan meningkatkan daya saing, keberlanjutan, serta profesionalisme UMKM, sekaligus menciptakan model Desa Cerdas yang dapat direplikasi.  
Sistem Rekomendasi Makanan Berdasarkan Kebutuhan Gizi Dan Kondisi Pengguna Berbasis Web Menggunakan Metode Forward Chaining Wuslah Raia Maulidiyah; Robby Maududy
Indonesian Journal of Innovation Multidisipliner Research Vol. 4 No. 3 (2026): Juli - September
Publisher : Institute of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijim.v4i3.2282

Abstract

Pemenuhan kebutuhan gizi setiap individu bersifat khas karena dipengaruhi oleh usia, jenis kelamin, aktivitas fisik, berat dan tinggi badan, serta kondisi khusus seperti kehamilan, menyusui, dan alergi makanan. Permasalahan gizi di Indonesia masih bersifat ganda, sementara pengetahuan masyarakat dan akses masyarakat terhadap konsultasi ahli gizi masih terbatas. Kondisi ini juga dirasakan pada layanan gizi di pos pelayanan terpadu (posyandu), yang selama ini masih memberikan rekomendasi makanan secara manual, tanpa perhitungan energi dan zat gizi yang terukur serta pertimbangan konsisten terhadap kondisi khusus pengguna. Penelitian ini bertujuan merancang dan membangun sistem rekomendasi makanan berbasis web yang mampu menghitung kebutuhan gizi individu serta memberikan rekomendasi makanan personal sesuai kondisi kehamilan, menyusui, dan alergi. Pengembangan sistem dilakukan dengan metode air terjun, meliputi tahap analisis kebutuhan, perancangan aturan penalaran, implementasi menggunakan bahasa pemrograman berbasis web, hingga pengujian dan pemeliharaan sistem. Perhitungan kebutuhan energi dan zat gizi makro pengguna dipadukan dengan penalaran berdasarkan aturan if-then untuk menentukan kelompok makanan yang sesuai dengan kondisi pengguna. Hasil penelitian menunjukkan bahwa sistem berhasil dibangun dan menghasilkan perhitungan yang sesuai dengan perhitungan manual, serta memperoleh tingkat kesesuaian sebesar 94,44% bila dibandingkan dengan penilaian dokter spesialis gizi klinik. Dapat disimpulkan bahwa sistem yang dibangun mampu memberikan rekomendasi gizi yang personal, cepat, konsisten, dan mudah diakses, sehingga dapat mendukung layanan edukasi gizi bagi masyarakat.
Data Augmentation Strategies on Spectrogram Features for Infant Cry Classification Using Convolutional Neural Networks Alam Alam; Nuk Ghurroh Setyoningrum; Robby Maududy; Dea Dewi Damayanti; Hilmi Rahmawati
Innovation in Research of Informatics (Innovatics) Vol 7, No 2 (2025): September 2025
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v7i2.16823

Abstract

Infant cry classification is an important task to support parents and healthcare professionals in understanding infants needs, yet the challenge of limited and imbalanced datasets often reduces model accuracy and generalization. This study proposes the application of diverse audio data augmentation strategies including time stretching, time shifting, pitch scaling, and polarity inversion combined with spectrogram representation to enhance Convolutional Neural Network (CNN) performance in classifying infant cries. The dataset from the Donate-a-Cry Corpus was expanded from 457 to 6,855 samples through augmentation, improving class balance and variability. Experimental results show that CNN accuracy increased from 85% before augmentation to 99.85% after augmentation, with precision, recall, and F1-score reaching near-perfect values across all categories. The confusion matrix further confirms robust classification with minimal misclassifications. These findings demonstrate that data augmentation is crucial to overcoming dataset limitations, enriching acoustic feature diversity, and reducing model bias, while offering practical implications for the development of accurate, reliable, and real-world applicable infant cry detection systems.
Integrated Web-Based Motorcycle Rental System with RealTime Fleet Availability Tracking Arrizqi Hilman Rahmatulloh; Robby Maududy
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026 In progress.
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.526

Abstract

Supermoto Motorcycle Rental is a motorcycle rental business that still manages vehicle data, customer records, rental transactions, and operational reports through manual processes. This condition leads to several critical issues, including difficulties in data retrieval, duplicate records, vehicle data discrepancies, delays in report generation, and the inability to monitor vehicle availability in real time. This study aims to design and implement an integrated web-based motorcycle rental information system to improve operational effectiveness and efficiency. The system was developed using the Rapid Application Development (RAD) method, encompassing requirement planning, user design, construction, and implementation phases. The application was built with the PHP programming language, the CodeIgniter 3 framework implementing the Model-View-Controller (MVC) architecture, and a MySQL database for persistent data storage. Key features include motorcycle fleet management, customer data management, rental transaction processing, payment verification, real-time vehicle availability monitoring, and automated operational reporting. System functionality was rigorously evaluated using the Black Box Testing method across 15 comprehensive test scenarios covering authentication, data management, transactions, and reporting modules. The testing results demonstrated a 100% success rate across all evaluated scenarios, confirming that all system features function correctly and fully meet the specified user requirements. The developed system successfully streamlines data management, enhances data accuracy, accelerates administrative workflows, and provides real-time operational monitoring capabilities. Ultimately, this digital transformation equips Supermoto Motorcycle Rental with a reliable, secure, and scalable platform to support data-driven decision-making and elevate overall customer service quality and long-term business competitiveness.