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All Journal JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Sinergi OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Sistem dan Manajemen Industri ComTech: Computer, Mathematics and Engineering Applications Journal of Industrial Engineering & Management Research (JIEMAR) Industrika : Jurnal Ilmiah Teknik Industri
Hasbullah Hasbullah
Universitas Mercu Buana
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Transportation

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ANALISIS KEBUTUHAN GURU MATA PELAJARAN PRODUKTIF DI INDUSTRI PENDIDIKAN MENENGAH MELALUI PEMODELAN MATEMATIKA Taufik Hidayat; Hasbullah Hasbullah
Industrika : Jurnal Ilmiah Teknik Industri Vol. 4 No. 1 (2020): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v4i1.197

Abstract

Vocational Teacher Needs in productive subject programs (Practical Teachers) have an important role in producing competent SMKs. This study aims to provide a model for the procurement of productive teacher needs. At present the need for productive subject teachers is less than 120,000 compared to the number of SMK students of more than 5,000,000 (DitPSMK, 2016). In this study using a mathematical model through the calculation of multiple linear regression models on the variable Number of SMK Students, industry needs, number of SMKs and the budget. The results of this study are a mathematical model in determining the needs of productive teachers Y = 280966 - 41.6 X1 - 12.47 X2 + 33.4 X3 - 20.7 X4. Keywords: Vocational Teacher, Multiple Linear Regression, Mathematical Modeling
Selection lead logistics provider in consumer goods using AHP – TOPSIS approach Kuwat Suroto; Hasbullah Hasbullah
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.006

Abstract

Vendor selection is a strategic activity in order to support the achievement of the company`s success and competitiveness. Significantly, the company has some specific standards in the selection. Therefore, evaluation is needed to see which vendors match the company's criteria. The purpose of this study was to evaluate and select the proposed vendor in a decision support system using the AHP and TOPSIS approaches. The AHP method is used to determine the importance of the criteria, while the TOPSIS method is used to rank alternatives. The results show that Provider 1 has the highest score compared to other alternatives with a value of 0.852. Sensitivity analysis shows that the proposed AHP and TOPSIS methods are robust, suitable for this problem, and have a low rate of change.
TPM Implementation in Ceramic Tile Industry Cecep Hermawan; Hasbullah Hasbullah
Journal of Industrial Engineering & Management Research Vol. 4 No. 3 (2023): June 2023
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7777/jiemar.v4i3.472

Abstract

To increase industrial growth in Indonesia, especially the ceramic tile industry, it must increase productivity on production floors. The purpose of this study is, firstly, to find out the causes of the Overall Equipment Effectiveness (OEE) level in a company that does not meet the expected standards. Second, to determine what improvements should be made to increase the OEE on the packing machine. This research uses a case study in a tile manufacturing industry located in Cikarang, Indonesia. The focus of this research is on packing machines using pneumatic and electric systems. The analysis was carried out by applying Failure Mode and Effect Analysis (FMEA) with the support of other tools such as Cause and Effect Diagrams (CED), and 6 big losses analysis. By adhering to the entire research framework, find the reasons why OEE does not meet the target. From these results, it can be concluded that the application of these methods has a positive impact on the company. The OEE rate increased from an average of 72.5% to 94.5%. It means the OEE level has reached the standard of world-class manufacturing.
Analysis of Causes of Piping Welding Defects in Steam Gas Power Plants with FMEA and AHP method Horas Canman; Hasbullah Hasbullah
Operations Excellence: Journal of Applied Industrial Engineering Vol. 15, No. 1, (2023): OE March 2023
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2023.v15.i1.072

Abstract

High welding intensity is an integral part of the construction process of a Steam Gas Power Plant (PLTGU). The existence of weld defects has a significant potential for rework, additional construction costs, and delays in project completion. In the fabrication of pipe joints by welding in the PLTGU additional construction project with a capacity of 650 MW in Muara Tawar, welded joints were found to be rejected at 22.44%. This study aimed to analyze and determine the leading causes of rejected weld defects at the welded joint using the methods used, namely FMEA and AHP. Based on the Pareto diagram, it is known that two types of welding defects dominantly occur in welded joints which will then become the priority for repairs carried out by the contractor, namely porosity and cluster porosity. Based on the FMEA method, it is known that two groups of Risk Priority Number (RPN) values differ quite a lot, namely the group with low RPN values (1-140) and the group.  
Identifying weaknesses and strengths of existing I4.0 Readiness Indices to enhance INDI 4.0 Hasbullah Hasbullah; Salleh Ahmad Bareduan
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.013

Abstract

Indonesia has low Industry 4.0 (I4.0) readiness in ASEAN and has the INDI 4.0 Instrument (Indonesia Industry 4.0 Readiness Index), which is less comprehensive and accurate. An Initial survey confirmed that only 56.86% of respondents agreed that INDI 4.0 accurately measures readiness in the manufacturing industry. Unlike primary I4.0 indices, INDI 4.0 lacks comprehensive Industry 4.0 dimensions and characteristics, as many literature and other indices cover. This study aims to identify weaknesses and strengths of major I4.0 indices by comparing them to enhance INDI 4.0. This paper identified gaps in existing major I4.0 indices by scoping review method. However, each index contributes to increasing practicality, fulfilling latent needs, and expanding complementary perspectives in measuring readiness and adoption of I4.0 based on studies, viewpoints, uniqueness, and views of each. This study offered a more comprehensive perspective, especially from developing countries like Indonesia, with industries struggling to adopt I4.0 to fill loopholes in existing major indices that are generally from developed countries, so most companies in their study have advanced or implemented I4.0 and are too focused and too oriented on technology. The findings from this paper are expected to contribute to industry, practitioners, and academicians in increasing accuracy when measuring readiness toward adopting I4.0.
Co-Authors Abdul Halim Afifulloh Afifulloh Andi Setyawan Cecep Hermawan Daniel Agung Deni Ahmad Taufik Dwi Aji Santoso Hendi Herlambang Hernadewita Horas Canman Humiras Hardi Purba Kuwat Suroto Mohamad Nasir Muhammad Kholil Salleh Ahmad Bareduan Salleh Ahmad Bareduan Supriyati Supriyati Taufik Hidayat Tubagus Hendri Febriana Yadi Santoso