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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) WARTA Jurnal Pengabdian UntukMu NegeRI JURNAL INTEGRASI Journal of Applied Electrical Engineering Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Journal of Sustainable Community Development
Adlian Jefiza
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Religion Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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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.
Design of Experiment pada proses Immersion Tin Plating Widya Rika Puspita; Lindawani Siregar; Ika Karlina Laila NS; Ira Zamzami; Budiana Budiana; Fitriyanti Nakul; Nur Sakinah Asaad; Adlian Jefiza
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.v14i2.4035

Abstract

PCB (printed circuit board) is a copper-coated board that is a container for electronic components arranged to form electronic circuits. Copper surfaces that are easy to oxidize (corrosion) need to be soothed with a layer of Sn (tin). Based on the TFME study case, the electroplating technique requires more cost for tin plating. The immersion process of the tin plating model is superior in terms of cost and quality. To determine the right combination parameters so as to obtain a thickness that is in accordance with the IPC-4554 standard, namely a minimum of 1000 nm, the research method used is Design of Experiments (DoE). There are nine experimental combinations of the DoE results. Combination parameter testing is done using a SEM (scanning electron microscope) machine. The combination of four to nine has met IPC standards with a thickness of between 1040-1540 nm. The correct parameter is obtained by the combination of 5 with the parameter temperature of 700 and time of 60 minutes, and the result is an average thickness of 1.2 µm and has an uncertain value of the measurement is 7.
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.
Co-Authors Ahmad Riyad Firdaus Akbar, Muahmmad Daneoviori Diono Diono Diputra, Muhammad Naufal Airlangga Dwi Imam Mulyono Effendi, Noverta Finanta Okmayura Fitriyanti Nakul Ghozalli Mashan Gindo Leonard Manahan Simanjuntak Handri Toar Hanesman Hanesman Ika Karlina Laila NS Ika Karlina Laila Nur Suciningtyas Indra Daulay Ira Zamzami Jhon Hericson Purba Lindawani Siregar MUHAMMAD ARIFIN Muhammad Rizki Romadhan Muhammad Syafei Gozali Muhammad Zainuddin Lubis Mulyono, Dwi Imam Mustanir Mustanir Nugraha, Muhammad Wahyu Nur Sakinah Asaad Nurhasanah, Armeilia Nurul Fadilah Pitriani, Shelly Sri Rafif, Carelenton Muhammad Raja Widya Novchi Ramadhan, Farhan Rizqi Riki Ria Satria Bayu Aji Siregar, Nahum Hita Dior Sugandi, Budi Sumantri Kurniawan Risandriya Sumantri Lukito Suprayogi, Bagus Tian Havwini Wenang Anurogo Widya Rika Puspita Wifandi, Akhfi Zulhendra Zulhendra