Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : jurnal integrasi

Sistem Semi Otomasi pada Proses Tinning Pin Lampu di PT. Excelitas Technologies Batam Diono Diono; Gindo Leonard Manahan Simanjuntak; Handri Toar; Muhammad Syafei Gozali; Adlian Jefiza
JURNAL INTEGRASI Vol 14 No 1 (2022): Jurnal Integrasi - April 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v14i1.3889

Abstract

The tinning process is the process of coating a thin sheet of wrought iron or steel with tin and the resulting product is known as tinplate. The tinning process at PT. Excelitas Technologies Batam is done by clamping the lamp using your finger and then dipping it into flux and molten tin repeatedly until the lamp pin is evenly coated with tin which is done manually and is very dangerous for workers. Therefore, we need a Semi Automation System for the PLC-based Lamp Tinning Process. The method used is the use of a timer in the PLC-based flux dyeing and tining process. The tool testing process is carried out on 10 pcs lamp pins which are immersed 2 times in the flux and tinning process. The result of this research is that the cycle time loading / unloading of the lamp pin tinning process is reduced from 14.4 seconds to 11 seconds.
Pengklasifikasian Warna dan Bentuk Produk Menggunakan Kamera ELP- USB8MP02G-MFV dengan Berbasis YOLOV7 Diono, Diono; Muhammad Syafei Gozali; Yohannes Ridho Soru
JURNAL INTEGRASI Vol. 17 No. 1 (2025): Jurnal Integrasi - April 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v17i1.9266

Abstract

The development of artificial intelligence technology allows the system to detect various objects. In the research on the classification of color and shape of products using the ELP-USB8MP02G-MFV camera based on YOLOV7, it aims to modify the conveyor on the molding machine. Because the conveyor only has the function of distributing goods from the molding machine to the bin and the length of time used to wait for the bin to be full is the reason why this conveyor is modified. Modifications are made by adding a camera that has been connected to the Raspberry Pi 4B on the conveyor, the camera functions to take pictures of passing product objects then the image is detected by the system on the Raspberry Pi 4B so that this conveyor machine can classify the objects produced by the molding machine. The system detects objects using the YOLOv7 algorithm. This study was carried out with three tests, namely object model detection testing, color detection testing and program and relay output testing where 98.11% was for object model detection testing, 97.37% for color detection and 100% for program and relay output testing.  The results of this research will contribute to the development of object detection, especially product object detection and the results of molding machines.
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; Tri Guntoro, Hendra
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.