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Pengembangan Sistem Manajemen Inventaris Berbasis IoT dengan Teknologi Pick to Light dan Sistem Identifikasi Barang untuk Meningkatkan Akurasi Pengambilan Barang Diono Diono; Muhammad Prima Widiantara; Dian Safitri; Ade Nurjanah
JURNAL INTEGRASI Vol. 17 No. 2 (2025): Volume 17, Nomor 2, Oktober 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v17i2.11028

Abstract

Sistem penyimpanan konvensional sering menimbulkan kesalahan dan memperlambat proses pengambilan barang. Untuk mengatasinya, dikembangkan sistem manajemen inventaris berbasis Internet of Things (IoT) yang mengintegrasikan aplikasi inventaris berbasis LabVIEW, sistem pick to light dengan ESP32 sebagai panduan visual, serta sistem identifikasi barang menggunakan ESP32-CAM dan QR-Code untuk verifikasi. Hasil pengujian menunjukkan efisiensi meningkat dengan rata-rata waktu pengambilan berkurang 34,3% dari 136,3 detik menjadi 89,6 detik. Sistem juga mampu mendeteksi kesalahan pengambilan secara real-time melalui sensor rak dan meningkatkan akurasi dengan identifikasi QR-Code. Dengan dukungan jaringan WiFi 5G, sistem ini terbukti mampu mempercepat pertukaran data, meningkatkan akurasi, efisiensi, serta mendukung pencatatan inventaris secara waktu nyata
Implementasi dan Analisis Connector Wire Testing Machine Berbasis PID dan Antarmuka Visual Diono; Muhammad Syafei Gozali; Indra Mora
JURNAL INTEGRASI Vol. 18 No. 1 (2026): Volume 18, Nomor 1, April 2026
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v18i1.12711

Abstract

In the era of Industry 4.0, automation in the quality testing process has become a crucial factor in ensuring production consistency, accuracy, and efficiency. This research develops a connector wire testing machine that integrates a load cell sensor, a servo motor control system based on a proportional - integral-derivative (PID) controller, a real-time visual interface developed in C#, and a SQL Server database for automated data logging. Load cell calibration was performed by comparing sensor readings with a digital reference scale over a load range of 1 kg to 3 kg. The results show that the measurement deviation remained below ±0.2%, indicating that the load cell provides accurate and consistent force measurement. Communication performance between the ESP32 and the C# graphical user interface was evaluated through bidirectional latency testing. The system achieved an average delay of 2.2 ms, which is well below the industrial response time threshold of 100 ms, demonstrating stable and responsive data transmission. Database performance testing showed a success rate of 100%, a duplicate rate of 0%, and a coefficient of variation (CV) of 11%, confirming reliable and stable real-time data processing. Furthermore, PID controller tuning resulted in optimal parameters of KP = 0.0025, Ki = 0.00015, and Kd = 0.003, which produced low overshoot (<1%), minimal steady-state error (<0.3%), and relatively short settling times across various setpoints. Overall, the developed system operates accurately, responsively, and reliably, supporting precise wire connector pull testing and robust data management for further analysis and continuous quality improvement.
Implementasi IoT pada Sistem Pemantauan Level Air Menggunakan ESP32 dan Platform Antares Diono; Muhammad Syafei Gozali; Hendra Tri Guntoro
JURNAL INTEGRASI Vol. 18 No. 1 (2026): Volume 18, Nomor 1, April 2026
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v18i1.12814

Abstract

This research develops an Internet of Things (IoT)-based water level monitoring system that can work in real-time both locally and online. The system is designed using an ultrasonic sensor integrated with an ESP32 microcontroller to process and send data to the Antares platform via the MQTT protocol. The obtained data can be displayed via the Antares dashboard and an I2C LCD as a local display, equipped with LED indicators and a buzzer as a warning when the water level is below the 65 cm threshold. To maintain communication stability, a static IP configuration is used. Test results show that the system has high accuracy with an average error of 0.2 cm, a delay of 129.15 ms, and no packet loss, thus being able to provide reliable performance. Thus, this system is considered effective, efficient, and suitable for application in monitoring water levels for various industrial needs.