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Journal : JURNAL INTEGRASI

Automatic Continuity Test Machine (CT) Using Proximity Sensors, Photoelectric Sensors and Programmable Logic Controllers (PLC) Systems: The case at PT. ā€œVā€ Batam Indonesia Jhon Hericson Purba; Irwanto Zarman Putra; Ridwan Ridwan; Hari Salam
JURNAL INTEGRASI Vol 15 No 1 (2023): Jurnal Integrasi - April 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i1.5075

Abstract

Continuity test Machine (CT) is a tool for detecting damage to the current connection on the AC plug cable. The problem with PT ā€œVā€ is that it still uses a manual system. So that it is updated to an automatic continuity test machine by manual measurement using a "caliper" and another using an automatic continuity test machine (CT). The results obtained (CT) using a proximity sensor, photoelectric as a detector for the length of the pin connector and a Programmable Logic Control (PLC) system as a controller. Testing the accuracy of the tool using 12 plug and connector samples were the same, namely 10 plug and connector samples that were standard (19.05 +_0.2 mm) and 2 samples that were not standard. Tool performance testing is carried out operating for 184 hours or 23 working days. The results of data analysis found a significant increase, namely an average of 25.94% of the total test results used by the manual Continuity test machine (CT). Totally capable of increasing an average of 970 product units per month, with details reducing by -20.03% good products, increasing by 26.74% good products (standard)
Aplikasi Penerapan Jaringan Syaraf Tiruan untuk Memprediksi Tingkat Pengangguran di Kota Batam dengan Menggunakan Algoritma Pembelajaran Backpropagation Dodi Prima Resda; Jhon Hericson Purba; Miranda Miranda; Arista Sitanggang; Maidel Fani; Andy Triwinarko
JURNAL INTEGRASI Vol 15 No 1 (2023): Jurnal Integrasi - April 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i1.6351

Abstract

The imbalance between labor supply and demand often leads to unemployment in a given region. The unemployment rate serves as a key indicator to assess the overall health of the economy. Utilizing Artificial Neural Networks (ANN) as a predictive tool has emerged as a reliable solution to forecast unemployment rates in Batam City, using 7 input parameters. The methodology employed in this predictive model is the Backpropagation algorithm. This involves dividing the dataset into two distinct components: training data, consisting of 4 parts, and the remaining data set aside for testing purposes. This division results in a substantial allocation of 95% for training data and a significant 79% for testing data. The accuracy achieved by this model forms the basis to evaluate its potential success in forecasting unemployment rates for the upcoming year. By harnessing the capabilities of Artificial Neural Networks and employing the Backpropagation methodology, it is possible to predict unemployment rates in Batam City. The outcomes of this analytical approach can serve as a reference to address labor imbalance issues, while also providing a pragmatic tool to enhance economic planning and policy formulation for a more sustainable future.
Analisis Nilai Tahanan Isolasi dan Tegangan Tembus pada Minyak Transformator 150 kV Sebelum dan Sesudah Purifikasi di PT Energi Listrik Batam Purba, Jhon Hericson; Safriandi, Muhammad Suharian
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.v16i2.8233

Abstract

Transformers are critical components in electricity transmission, and system failures can be catastrophic. PT Energi Listrik Batam has a 150 kV power transformer that experienced an oil leak in the Low Voltage section in September 2023. Transformer oil serves as an insulating material. Insulation Resistance and Breakdown Voltage tests showed a decline in oil quality, with an insulator value of 50 kV. PT Energi Listrik Batam conducted oil purification to restore its quality. Purification removes gases and particles that degrade oil quality. As a result, after purification, the insulation resistance and breakdown voltage of the transformer oil increased to 80 kV.