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Journal : JURNAL INTEGRASI

Vertical Carousel Storage Obat Otomatis Menggunakan PLC Putra, Irwanto Zarma; Maulana, Naufal Shadiq; Yani, Selvi Fitri; Gozali, Muhammad Syafei; Puspita, Widya Rika
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.v15i2.4358

Abstract

Automatic medicine storage carousel vertical machine is a development of a combination of automation systems with storage systems, especially medicine storage. The medicine storage vertical carousel machine uses a design system such as a vertical carousel vehicle. There are shelves for storing medicine on each swing. This machine is controlled by PLC which drives the servo motor. The servo motor drives the machine's swing arm so that the machine can rotate. In the process of finding a medicine, The average time it takes the machine to find the fastest medicine and the bin condition is not shaking is 5.28 seconds using 7 Rpm at pulley driven speed. The indicator light will indicate which bin is being targeted and the machine door will stop when the photoelectric sensor detects a hand approaching the door.
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
Comparative Analysis between SA-516 Gr 70 Material with SA-537 Class 2 Material in Shell Pressure Vessel Fabrication Process Puspita, Widya Rika; Putri, Sarah Athaullah Wenna; Jefiza, Adlian; Arifin, Muhammad; Maulidah, Hana Mutialif; Nakul, Fitriyanti; Suciningtyas, Ika Karlina Laila Nur; Putra, Irwanto Zarma; Budiana, Budiana; Futra, Asrizal Deri; Wivanius, Nadhrah
JURNAL INTEGRASI Vol. 16 No. 2 (2024): Jurnal Integrasi - Oktober 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i2.8563

Abstract

A pressure vessel is a container designed to hold fluids under pressure, including liquids and gases with varying pressures and temperatures. The pressure exerted on the vessel's walls and body is a critical factor that must be carefully considered to ensure compliance with applicable international design standards and prioritize worker safety and security. This research focused on a pressure vessel to investigate the impact of temperature on shell thickness to meet ASME standards. The study utilized shell components made from SA-516 Gr 70 and SA-537 materials. Experiments were conducted with each material at temperatures of 250°C, 235°C, and 343°C, revealing that thickness varies based on material and temperature. The research findings demonstrate compliance with ASME standards, as the shell thickness in all trials exceeded the minimum specified in the drawings.
Analisis Pengaruh Temperatur Ambient Terhadap Kinerja Cooling Tower Unit 2 Berdasarkan Evaluasi Range dan Approach pada PLTGU PT Mitra Energi Batam Firman Manahan Panjaitan; Putra, Irwanto Zarma
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.v17i1.9344

Abstract

PLTGU PT. Mitra Energi Batam has observed that Cooling Tower Unit 2 tends to produce hot steam in larger quantities compared to Unit 1. The greater production of hot steam in Cooling Tower Unit 2 certainly cannot be separated from the influence of ambient temperature (surrounding air temperature). Where the temperature around the Cooling Tower Unit 2 environment affects the performance of the Cooling Tower. The cooler the environment, the better the cooling tower performance. This research aims to determine the extent of influence of ambient temperature on the performance of Cooling Tower Unit 2 in terms of Range and Approach calculations and to evaluate the difference between "Range" and "Approach" calculations in measuring the performance of Cooling Tower Unit 2. Data collection was carried out for 8 hours in 1 days out of 10 days of data collection in November 2023. The Cooling Tower performance calculation method used is Range and Approach Evaluation, where Range is a calculation of incoming water temperature with outgoing water temperature and Approach is a calculation of outgoing water temperature with Wet Bulb Temperature (ambient air temperature Cooling Tower). Based on the Range Value Evaluation, the calculation results were found to be in the range of 9.52°C – 9.97°C and 8,391°C – 10,331°C. If the Range Value is smaller then the Cooling Tower performance can be said to be good, for the Approach Value the calculation results are found to be 16,515°C – 18,205°C and 17,625°C – 21,892°C. If the Approach value is smaller, then the Cooling Tower performance can be said to be good because the outlet water temperature can approach the value of the wet bulb temperature. For the Efficiency Value, the calculation results obtained were at values of 34.98°C – 37.26°C and 28.44% - 35.68%.