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All Journal Jurnal Rekayasa Sistem Industri JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Infotech: Jurnal Informatika & Teknologi JURNAL TEKNIK INDUSTRI ARMADA : Jurnal Penelitian Multidisiplin SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Journal Serambi Engineering (JSE) Journal of Integrated System TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Vina Sari Yosephine
Universitas Pembangunan Nasional Veteran Jakarta
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Sistem Monitoring Produksi Digital Berbiaya Rendah untuk Analisis Waiting waste pada Lini Perakitan Eksperimental Haikal Kamil; Muhammad Amir Fajri; Mohammad Fauzan Aulialdi; Vina Sari Yosephine
ARMADA : Jurnal Penelitian Multidisiplin Vol. 4 No. 7 (2026): ARMADA : Jurnal Penelitian Multidisplin, July 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/armada.v4i7.3181

Abstract

Lini perakitan konvensional pada industri kecil dan menengah masih mengandalkan monitoring produksi secara manual sehingga identifikasi waiting waste belum optimal. Kajian sistem monitoring berbiaya rendah yang menghubungkan data produksi dengan indikator Lead time dan Idle time masih terbatas untuk lingkungan industri berskala kecil. Penelitian ini bertujuan merancang dan menguji sistem monitoring produksi digital berbasis Internet of Things menggunakan ESP32, sensor infrared, barcode scanner GM66, dan cloud spreadsheet untuk mencatat data produksi secara otomatis dan real-time pada lini perakitan eksperimental. Hasil pengujian menunjukkan akurasi pembacaan sebesar 89,17% serta penurunan total Lead time dari 100,38 detik menjadi 71,27 detik dan total Idle time dari 62,32 detik menjadi 25,83 detik. Sistem ini terbukti meningkatkan visibilitas proses dan mendukung identifikasi waiting waste lebih cepat dibandingkan metode konvensional, sehingga berpotensi menjadi solusi monitoring digital yang fleksibel dan ekonomis bagi industri kecil dan UMKM.
Performance Evaluation of ESP32-Based IoT Communication latency in an Assembly line Model Mohammad Fauzan Aulialdi; Vina Sari Yosephine; Muhammad Amir Fajri; Haikal Kamil
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.18715

Abstract

The development of Internet of Things (IoT) technology provides opportunities to support the digitalization of Micro, Small, and Medium Enterprises (MSMEs), particularly in monitoring systems and automated operational data recording. However, the performance of IoT-based monitoring systems is highly influenced by communication delays between edge devices and cloud services, making communication performance evaluation essential to ensure system reliability prior to practical deployment. This study aims to evaluate the communication performance of an ESP32-based IoT system connected to a cloud spreadsheet by analyzing data transmission delays in a four-station assembly line model representing MSME-scale production processes. The method used is an experimental approach with 30 trials conducted at each station equipped with infrared sensors, and time measurement using a stopwatch as a visual reference. The collected data were analyzed using average values, standard deviation, and the Three Sigma method to evaluate communication stability. The results show that the average data transmission delay is approximately 3 seconds, with variations remaining within the control limits, indicating that the system operates under stable (in-control) conditions. Differences in delay among the stations indicate the influence of network communication characteristics, including Wi-Fi connection quality, network traffic, and the HTTP communication protocol used for cloud transmission. These findings demonstrate that the proposed system provides sufficiently stable communication performance to support operational monitoring in MSMEs and can serve as a baseline for the future development of cloud-based monitoring systems toward digital twin implementation.
Co-Authors Anis Fitri Nur Masruriyah Ari Setiawan Arum Asih Nur Sarinindiyanti, Julin Ayu Mika Sherila Batara, Marco Dewi, Intan Novita Dewi Gracia Novelly Krisantia Emor Haikal Kamil Haikal Kamil Hanna, Tabitha Lora Ristio Gultom Marla Setiawati Mohammad Fauzan Aulialdi Mohammad Fauzan Aulialdi Muhammad Amir Fajri Muhammad Amir Fajri Ni Putu Devira Ayu Martini Putra, Harditriyono Putra Raisa Nuraffifa Sudardjat Sanggi Bayu Ardika Silvia Anggraeni Tarigan, Amenda Septiala Wendy Febrianty Mardhiyah