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All Journal International Journal of Artificial Intelligence International Journal of Education, Science, Technology, and Engineering (IJESTE) Journal Of Industrial Engineering And Technology (JOINTECH) JURTI Jurnal Teknik Industri Jurnal Manajemen Rekayasa dan Inovasi Bisnis
Lawi, Ansarullah
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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Indonesia Network Infrastructures and Workforce Adequacy to Implement Machine Learning for Large-Scale Manufacturing Steven Anderson; Ansarullah Lawi
International Journal of Artificial Intelligence Vol 8 No 1: June 2021
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0801.182

Abstract

Technological development prior to industrial revolution 4.0 incentivized manufacturing industries to invest into digital industry with the aim of increasing the capability and efficiency in manufacturing activity. Major manufacturing industry has begun implementing cyber-physical system in industrial monitoring and control. The system itself will generate large volumes of data. The ability to process those big data requires algorithm called machine learning because of its ability to read patterns of big data for producing useful information. This study conducted on premises of Indonesia’s current network infrastructure and workforce capability on supporting the implementation of machine learning especially in large-scale manufacture. That will be compared with countries that have a positive stance in implementing machine learning in manufacturing. The conclusions that can be drawn from this research are Indonesia current infrastructure and workforce is still unable to fully support the implementation of machine learning technology in manufacturing industry and improvements are needed.
Exploring the English Language Skills Needed at Engineering Companies Maria Yosefina Meinadia Sekar Kinanti Aswirawan; Ansarullah Lawi
International Journal of Education, Science, Technology, and Engineering (IJESTE) Vol 5 No 1: June 2022
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijeste-0501.344

Abstract

This paper reports the results of an English language needs analysis carried out at different multinational engineering companies in Batam, Indonesia. Through the implementation of needs analysis questionnaire to 50 engineers from various engineering companies, the perceived importance and frequency of linguistic needs of learners in terms of skills and sub-skills are specified. The results show that most engineers perceived reading as the most important skill, followed by listening, writing, and speaking; whereas, in terms of frequency, reading has also been perceived as the most frequent skill, followed by listening, writing and speaking. Emphasis should be put on receptive skills (a total mean score of 16.048) rather than productive skills (a total mean score of 15.423). However, findings also depict those engineers considered some of the oral communicative event(s) such as reporting work to superiors to be very frequent at work. The implications of the findings indicate that materials design and development should consider the incorporation of workplace scenarios as the basis for activities.
Penerapan Metode Six Sigma dalam Menganalisis dan Menanggulangi Defect Rate pada Pengelasan Tubular Febriansyah Febriansyah; Nurul Ilmi; Ansarullah Lawi
Jurnal Teknik Industri Vol 1, No 2 (2022)
Publisher : Fakultas Teknologi Industri, UNISSULA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (358.436 KB) | DOI: 10.30659/jurti.1.2.128-137

Abstract

PT XYZ merupakan perusahaan general contractor untuk manufacturing, refinery, industrial, marine, oil and gas, yang menjalankan proyek welding tubular. Target untuk mencapai sasaran mutu perusahaan menjadikan PT XYZ selalu berusaha untuk mencapai dan menghasilkan produk yang berkualitas, aman, dan dapat memenuhi persyaratan pelanggan dengan harga yang kompetitif. Diketahui PT XYZ memiliki tingkat repair rate yang sangat tinggi berdasarkan record data per welder yang dilakukan pada pengujian ultrasonic test (UT). Hal ini sangat merugikan perusahan karena tingginya biaya dan waktu yang diperlukan untuk repair. Usaha untuk menurunkan defect rate hingga mencapai zero defect, dilakukan dengan menerapkan metode Six Sigma dalam sistem welding produksi. Tingkat proporsi defect yang terjadi dalam pengelasan tubular ini adalah sebesar 21% pada periode pengelasan selama 6 (enam) minggu.  Pada penelitian ini dilakukan 5 (lima) tahapan analisis six sigma yaitu DMAIC atau define, measure, analyze, improve dan control. Hasilnya diketahui penyebab terjadinya tingginya defect, hasil analisis, dan tindakan-tindakan yang perlu dilakukan dalam menanggulangi defect serta mengetahui nilai rata-rata sigma sebesar 3.30 setelah dilakukannya analisis.
ANALISIS KAPASITAS PRODUKSI PADA LINI PRODUKSI BARU DENGAN PENDEKATAN ROUGH CUT CAPACITY PLANNING Ansarullah Lawi; Jeri Gunawan
JURNAL MANAJEMEN REKAYASA DAN INOVASI BISNIS Vol. 1 No. 1 (2022): AGUSTUS 2022
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (492.137 KB)

Abstract

Penelitian ini bertujuan untuk menganalisis kebutuhan kapasitas dan ketersediaan kapasitas pada lini produksi. Analisis ini penting dilakukan untuk perencanaan produksi, pengukuran kapasitas produksi, penjadwalan produksi, peramalan dan lain sebagainya. Penelitian ini laksanakan di PT Casco Sea Batam dengan objek penelitian lini produksi FORD P702 HVPO. Analisis data menggunakan metode Rough Cut Capacity Planning (RCCP) dengan melakukan pengukuran kerja (time study), peramalan, perencanaan agregat, perencanaan jadwal induk produksi dan terakhir melakukan analisis kapasitas dengan RCCP. Berdasarkan penelitian pada lini produksi baru FORD P702 HVPO dengan hasil bahwa Waktu standard sebesar 745 detik / unit. Output Standard sebesar 421.200 Unit per minggu atau 1.684.800 detik per bulan. Peramalan yang terbaik adalah menggunakan metode peramalan Single Moving Average dengan nilai error MAD sebesar 0.04 dan nilai error MSE sebesar 0.021. Hasil perhitungan perencanaan agregat sebanyak 27144unit per tahun dengan biaya Rp 49.563.348 per tahun. Dengan kesimpulan bahwa kapasitas lini produksi FORD P702 HVPO mencukupi dan layak untuk memenuhi kebutuhan customer. Kelayakan ini dihitung berdasarkan kapasitas produksi yang dimiliki total 19.958.400 detik per tahun dan kapasitas yang dibutuhkan total 18.618.775 detik per tahun.
PERANCANGAN MEJA TROLI ERGONOMIS DENGAN PENDEKATAN ANTROPOMETRI DAN REBA Adrianus Dwi Putra; Ansarullah Lawi; Rivara Syara Nasution
Journal of Industrial Engineering and Technology Vol 3, No 2 (2023): Juni 2023
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/jointech.v3i2.9801

Abstract

CV XYZ is a company engaged in the field of Bottled Drinking Water. The production process at this company still uses the traditional MMH (Manual Material Handling) method which causes various complaints from employees, so it is necessary to think of an alternative method or tool that can change this manual process. Based on this, this research was conducted to design a tool that can optimize the material handling process and reduce musculoskeletal risks that arise in employees. There are 3 methods used, namely anthropometry, the Nordic Body Map (NBM) questionnaire, and work posture analysis using the REBA method. After testing, it was found that the trolley table that was in accordance with the employee's anthropometry was able to reduce employee complaints by 25% on several parts of the worker's body. From the results of the REBA assessment, a score of 6 (moderate) is obtained if using a table trolley, while without a trolley it produces a score of 12 (has a very high risk). The results of this research are considered to have a significant impact both in optimizing the production system, as well as in terms of employee safety and health from an employee health and safety perspective.
Co-Authors Adrianus Dwi Putra Febriansyah Febriansyah Jeri Gunawan Maria Yosefina Meinadia Sekar Kinanti Aswirawan Nurul Ilmi Rivara Syara Nasution Steven Anderson