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All Journal SENTRI: Jurnal Riset Ilmiah SmartComp
Elvinda Bendra Agustina
Institut Teknologi dan Sains Nahdlatul Ulama Pekalongan
Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice

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System Design Of Printer Machine Using Image Classification Method Based On Iot To Optimize Production Output Yusril Ihza Tachriri; Elvinda Bendra Agustina; Dian Arif Rachman; Atika Windra Sari; Muhammad Rofiqul A’la; Muhammad Lutfhi Al Hisyam; Muhammad Irfan
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 3 (2026): SENTRI : Jurnal Riset Ilmiah, Maret 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i3.5986

Abstract

The micro, small, and medium enterprises (MSMEs) industry plays a crucial role in supporting the Indonesian economy, yet faces challenges in production efficiency and cost management. This study presents the design and development of an IoT-based automated screen-printing system that integrates edge-based image classification using a CNN model with microcontroller-driven print actuation, specifically tailored for MSME-scale garment production. The system employs an ESP32/Raspberry Pi as the edge device, enabling local inference without cloud dependency, and utilizes MQTT protocol for IoT connectivity. Quantitative evaluation across 50 test cycles demonstrated a 96% printer success rate, a 60% reduction in production time from 45 to 18 minutes per 10 shirts, a 90% reduction in labor from 10 operators to 1, and an approximately 50% reduction in per-unit production cost from Rp65,000–80,000 to Rp30,000–40,000 per shirt. IoT connectivity testing over 48 continuous hours recorded an average MQTT latency of 120 ms and a system uptime of 98.5%, confirming the reliability of the communication layer for sustained production operations. Grounded in Industry 5.0 principles, this research advances human-machine collaboration in small-scale manufacturing contexts. The proposed system offers a cost-effective, remotely controlled, and semi-autonomous production solution, representing a novel contribution to the field of IoT-based garment manufacturing in Indonesia.
Klasifikasi Strategi Penjualan Produk UMKM dengan Penerapan fitur seleksi Forward Selection pada Algoritma C4.5 M. Rudi Fanani; Elvinda Bendra Agustina
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 4 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i4.6842

Abstract

Perkembangan Usaha Mikro, Kecil, dan Menengah (UMKM) di Indonesia telah menjadi sorotan utama dalam memajukan ekonomi, mengurangi kemiskinan, dan meningkatkan kesejahteraan masyarakat. UMKM tak hanya berperan strategis dalam menciptakan lapangan kerja, menggerakkan ekonomi lokal, namun juga menjadi sumber inspirasi bagi inovasi dan kreativitas. Kelurahan Kedungwuni Timur merupakan wilayah di kecamatan Kedungwuni Kabupaten Pekalongan Jawa Tengah. Profesi mayoritas warga Kelurahan Kedungwuni Timur bergerak dalam bidang UMKM Fashion. Kendala saat ini pihak konsumen sudah dengan mudah membandingkan suatu produk. Oleh karena itu perlu dilakukan sebuah strategi penjualan dengan memanfaatkan konsep Teknologi Informasi salah satunya menggunakan teknik Data Mining. Algoritma C4.5 merupakan algoritma dari data mining yang digunakan untuk memprediksi strategi penjualan produk UMKM dengan nilai akurasi yang didapat sebesar 82.78%. Untuk meningkatkan nilai akurasi maka digunakan fitur seleksi forward selection sehingga menghasilkan akurasi sebesar 86.11%.
Co-Authors Atika Windra Sari Dian Arif Rachman M. Rudi Fanani Muhammad Irfan Muhammad Lutfhi Al Hisyam Muhammad Rofiqul A’la Yusril Ihza Tachriri