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Diono, Diono
Politeknik Negeri Batam
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Journal : JURNAL INTEGRASI

 1 
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.
Rancang Bangun Prototype Sistem Monitoring dan Data Logger pada Sistem Listrik 3-Phase Arif Febriansyah Juwito; Diono Diono; Miftahul Jihad
JURNAL INTEGRASI Vol 14 No 2 (2022): Jurnal Integrasi - Oktober 2022
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v14i2.4344

Abstract

Electrical energy is one of the basic needs in life today, but in its utilization, several problems can cause losses in the electricity system, one of the causes is nontechnical shrinkage that often occurs on the customer's side in the form of electricity theft. Therefore, innovation is carried out using IoT (Internet of Things) in order to easily monitor the parameters of electricity magnitude. In this study, a stage of collecting parameters of the amount of electricity was proposed. The electric power observation method uses a voltage sensor (ZMPT101B) and a current sensor (SCT-013-000). Arduino Nano microcontrollers are used in measurement systems and the Wemos D1 Mini is used as a link to internet connections over Wi-Fi networks. Measurement data is sent and stored to the MySQL Database in the form of a data logger. The media used is a Website-based GUI. The results showed that remote monitoring using GUI can be done, where this tool can send parameters measuring the amount of electrical voltage, current, active power, and power factor as well as calculations of energy consumption and electricity usage costs to the GUI with a period of once every 10 minutes.
Analisis Data Monitoring proses pengelasan FCAW (Flux Core Arc Welding) berbasis Multi Layer Perceptron Adlian Jefiza; Diono Diono; Sumantri Lukito
JURNAL INTEGRASI Vol 14 No 2 (2022): Jurnal Integrasi - Oktober 2022
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v14i2.4538

Abstract

Pengelasan FCAW sangat dipengaruhi oleh parameter pengelasan agar tidak terjadi cacat las seperti Undercut, Underfill dab Overlap. Parameter tersebut terdiri dari Tavel Speed, Arus DC, Tegangan DC dan Heat Input. Untuk monitoring data parameter tersebut sudah dirancang dan digunakan di Industri. Namun untuk memprediksi kemungkinan cacat las, dibutuhkan klasifikasi data monitoring pengelasan FCAW. Metode yang digunakan dalam klasifikasi adalah Multi Layer Perceptron (MLP). Data yang digunakan adalah 400 data untuk klasifikasi, dan 201 data untuk prediksi. Hasil klasifikasi menggunakan MLP memperoleh akurasi sebesar 98,99 % dengan RMSE sebesar 0,0624. Sedangkan untuk prediksi, berdasarkan 201 data terdapat 169 data normal dan 32 data cacat las.
Pendeteksian Objek Hasil Pengepresan Kaleng dan Botol dengan Metode You Only Look Once (YOLO) yang Diaplikasikan pada Mesin Sortir Pembelajaran PBL Diono, Diono; Wicaksono, M. Jaka Wimbang; Jefiza, Adlian; Prayudha, Dimas Rama
JURNAL INTEGRASI Vol. 16 No. 1 (2024): Jurnal Integrasi - April 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i1.4598

Abstract

Image Processing is a technique of processing images with the input of an image and producing an image as well. One of the functions of Image Processing that the author wants to apply is the detection of an object from a still image or a moving image. In this application, the object to be identified by the author will be applied to the PBL sorting machine in the form of cans and bottles. In designing this system, the You Only Look Once (YOLO) method is used and several libraries. YOLO is an algorithm for detecting an object using an artificial neural network (ANN) from an image where this network divides the image into several regions and predicts each bounding box and probability for each region of the image. The author also uses a webcam to detect the object and a Servo Motor as a sorter on the PBL Sorting Machine. The result of this final project is that the system can detect objects cans and bottles properly and produce precise accuracy and is able to move the sorter based on the output data from the detection results.
Klasifikasi Wajah Manusia Menggunakan Multi Layer Perceptron Jefiza, Adlian; Diono, Diono; Putra, Irwanto Zarma; Budiana, Budiana; Nur Suciningtyas, Ika Karlina Laila; Siregar, Lindawani; Puspita, Widya Rika; Harlan, Fandy Bestario; Assegaf, Iqchan; Marpaung, Roy Hitmen
JURNAL INTEGRASI Vol. 15 No. 2 (2023): Jurnal Integrasi - Oktober 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i2.4843

Abstract

The problem of data security at a time when it is needed in the world of technology. The use of biometrics as data security is very necessary. This study aims to detect human biometrics using the Kinect sensor. The biometric that is detected is the face. The face image is captured by the Kinect sensor. For data feature extraction using Gray Level Co-Occurrence Matrix (GLCM. The parameters used are Contrast, Energy, Homogenity, and Correlation. The data obtained will be classified using Multi Layer Perceptron. Face classification is based on race. There are 3 races studied namely Indonesian, Chinese and African Native Races. The total data used are 100 photos of faces. The classification results show an accuracy of 86.7% using Multi Layer Perceptron
Prototype Sistem Elevator Menggunakan Motor Stepper Berbasis Atmega 16 Wicaksono, Muhammad Jaka Wimbang; Diono, Diono; Sani, Abdullah; Dzulfiqar, Mohamad Alif; Budiana, Budiana; Aryeni, Illa; Oktani, Dessy; Kamarudin, Kamarudin; Futra, Asrizal Deri; Darmoyono, Aditya Gautama; Mahdaliza, Rahmi; Hasnira, Hasnira; Maulidiah, Hana Mutialif; Gusnam, Mu'thiana
JURNAL INTEGRASI Vol. 15 No. 2 (2023): Jurnal Integrasi - Oktober 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i2.6058

Abstract

Elevator are one of the most important transportation these days. Elevator is a link in a tall building that has many floors. The role of the elevator which is always used by the public requires a high level of precision. In this study, researchers made a prototype elevator system using a stepper motor and obtained test results with a maximum error rate of 2% on the 10 cm elevator input using a ruler as a testing tool. The largest comparison of testing result using a ruler and using a rotary encoder is 0.2 cm or 2 mm at the 40 cm elevator input. The precision of the elevator prototype still can be improved by using half step mode when controlling the stepper motor.
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.
Pengembangan Sistem Manajemen Inventaris Berbasis IoT dengan Teknologi Pick to Light dan Sistem Identifikasi Barang untuk Meningkatkan Akurasi Pengambilan Barang 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
Perbandingan metode PID dan Fuzzy Logic Control dalam sinkronisasi dua motor DC Diono; Pratama, Yoga Rezky; Setya Kitton, Bintang Kurniawan
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.v17i2.11036

Abstract

Sinkronisasi kecepatan dua motor DC merupakan aspek penting dalam berbagai aplikasi industri, seperti sistemkonveyor, robotika, dan otomasi, karena keseragaman gerak sangat dibutuhkan. Penelitian ini membandingkan dua metode pengendali, yaitu Proportional-Integral-Derivative (PID) dan Fuzzy Logic Controller (FLC), dalam menjaga sinkronisasi kecepatan antara dua motor DC. Sistem dirancang agar motor kedua dapat mengikuti kecepatan motor pertama dengan akurasi tinggi, dan masing-masing metode diuji pada skenario perubahan kecepatan yang sama. Evaluasi dilakukan berdasarkan parameter kinerja, seperti waktu tunda (delay time), waktu tunak (settling time), serta kesalahan sinkronisasi terhadap kecepatan target dengan toleransi ±2%. Hasil pengujian menunjukkan bahwa metode FLC memiliki keunggulan dalam kecepatan respons dan kemampuan adaptasi terhadap perubahan dinamis, sehingga menghasilkan waktu sinkronisasi yang lebih cepat serta kesalahan yang lebih kecil dibandingkan dengan metode PID. Sebaliknya, metode PID memberikan kinerja yang stabil pada kondisi beban tetap, tetapi kurang tanggap terhadap gangguan dan perubahan mendadak. Temuan ini membuktikan bahwa logika fuzzy lebih efektif digunakan pada sistem yang memerlukan respons cepat dan fleksibel terhadap kondisi variatif. Dengan demikian, metode FLC direkomendasikan untuk aplikasi pengendalian motor DC multikanal yang menuntut ketelitian sinkronisasi tinggi serta kemampuan adaptif terhadap ketidakpastian sistem.
Co-Authors Abdullah Sani Abdurahman Dwijotomo Ade Nurjanah Adlian Jefiza Agustin, Rahmi Al attas, Said Usman Sulaiman Amri, Juhrial Arif Febriansyah Juwito Aryeni, Illa Assegaf, Iqchan Budi Sugandi Budiana, Budiana CANIAGO, SUHERI Dalimunthe, Juwita Marwah Darmoyono, Aditya Gautama Destiana, Rizka Deviana, Yesi Dian Safitri Fadli Firdaus Fajri, Nuzul Fandy Bestario Harlan Febri Yanti Futra, Asrizal Deri Gautama, Aditya Ghozali, Muhammad Syafei Gindo Leonard Manahan Simanjuntak Gozali, Muhammad Syafei Gusnam, Mu'thiana Handri Toar Hardi, Moh. Nabil Khairy Hasnira Hasnira Ika Karlina Laila Nur Suciningtyas Irwanto Zarma Putra Kamarudin Kamarudin M Rif'an Maulana Mahdaliza, Rahmi Mahmud, Aqil Fadhurahman Marpaung, Roy Hitmen Maulidiah, Hana Mutialif Miftahul Jihad Mohamad Alif Dzulfiqar Muhammad Naufal Airlangga Diputra Muhammad Prima Widiantara Muhammad Syafei Gozali Mulyadi, Indra Hardian Naibaho, Adventus Oktani, Dessy Pratama, Yoga Rezky Prayudha, Dimas Rama Rahmaini, Vika Rahmana, Henry Ridwan Ridwan Rifqi Amalya F Setya Kitton, Bintang Kurniawan Siregar, Lindawani Sumantri Lukito Vivin Octowinandi Wahyuningsih, Asriani Rosalina Wicaksono, M. Jaka Wimbang Wicaksono, Muhammad Jaka Wimbang Widya Rika Puspita Winandari, Rahmi Agustin Wulandari, Febrina Yangu, Juliansah Yangu, Juliansyah Yangu, Juliasyah Yaser, Vio Rahmadani Yohannes Ridho Soru