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All Journal Jurnal Optimasi Sistem Industri Journal Industrial Servicess TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika

Hibarkah Kurnia

Universitas Pelita Bangsa

Author-ID : 8296034

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Published : 6 Documents Claim Missing Document

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Articles

Benefits of implementing Industry 4.0 technology in health services Zulkarnaen, Iskandar; Prasmoro, Alloysius Vendhy; Nuryono, Arif; Nugroho, Oki Widhi; Kurnia, Hibarkah
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28364

The development of Industry 4.0 technology has progressed rapidly across various business sectors, including healthcare. Since the pandemic, the adoption of Industry 4.0 technologies in health services has become increasingly essential for patient care and health reporting systems. The healthcare industry demands efficiency and effectiveness, and today, numerous Industry 4.0 applications are widely utilized to streamline critical business functions in this sector. Numerous studies exploring the implementation of Industry 4.0 in healthcare can be found in academic publications. This research aims to analyze and provide a segmented review of parameters derived from a collection of articles, highlighting the extent to which Industry 4.0 technologies, or Health 4.0 (H4.0), are applied in the healthcare sector. The study employs a Systematic Literature Review (SLR) approach, drawing on research from various journals and conducting a comprehensive literature review of articles sourced from well-known databases related to Industry 4.0 in healthcare. The research identifies key Industry 4.0 technology segments based on data collected from 2019 to 2023. The findings contribute to the body of knowledge in industrial engineering, particularly in operations research and analysis, by demonstrating that the application of H4.0 is widely implemented across various segments in healthcare services. Additionally, this research offers practical insights by providing solutions for implementing Industry 4.0 technologies in healthcare, aligned with the identified segment parameters.

Authorship Correction: Application of the Total Productive Maintenance to Increase the Overall Value of Equipment Effectiveness on Ventilator Herry Agung Prabowo; Indra Maulana Fahturizal; Hibarkah Kurnia
Jurnal Optimasi Sistem Industri Vol. 23 No. 1 (2024): Published in July 2024
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

A ventilator machine is a medical device that plays an important role in handling Covid-19 cases during a pandemic. Covid 19 patients are arriving at a referral hospital in Jakarta, meaning that the hospital must prepare its medical equipment, including a ventilator machine. The ventilator machine experienced problems because the efficiency of the machine decreased so many patients waited in the ICU room. Machine effectiveness has an average value of 62.26% so it has an impact on disrupting patient services at home. The purpose of this research is to look for factors that cause the lack of effective value of ventilator machines and find effective solutions to increase the effectiveness of ventilator machines so that they can serve Covid-19 patients during a pandemic. This research method combines Focus Group Discussion in determining 5W+1H and implementing the pillars of Total Productive Maintenance to improve the Overall Effectiveness of Equipment on Ventilator machines. This study found a breakdown factor of 54.10%, idle and minor loss of 41.20%, and others of 4.70%. The effect of overall improvement has been able to increase the average effectiveness value by 85.00% from Sep 2021-Feb 2022, so this is supported by the hospital's program in terms of increasing the effectiveness of machines in patient care.

Application of the Total Productive Maintenance to Increase the Overall Value of Equipment Effectiveness on Ventilator Machines Hibarkah Kurnia; Andini Putri Riandani; Tri Aprianto
Jurnal Optimasi Sistem Industri Vol. 22 No. 1 (2023): Published in May 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This article has been corrected.

Reduction of changeover time and solvent cleaning cost in tank cleaning process in paint manufacturing industry in Indonesia Krisna Budi Juliantoro; Hibarkah Kurnia; Syarah Rizkia Feriaty
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 12 No 2 (2025): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v12i2.1520

In the era of globalization, competition in the manufacturing industry is increasing, especially regarding product quality and customer service. One of the paint manufacturing companies in Indonesia has experienced an increase in production volume in line with increasing market demand, as reflected in annual sales growth of 25-29%. As a market leader in the field of marine coatings and protective coatings with a market share of more than 29%. These challenges impact the tank cleaning process, which directly affects the duration of change over time with each product changeover. Based on company standards, the ideal changeover time is 30 minutes for each product changeover during tank cleaning. This research aims to reduce the duration of changes over time and reduce wasted costs in purchasing cleaning solvents (solvents) needed in the tank cleaning process at each batch change. The method of this research is a combination of A3 Problem Solving and Single-Minute Exchange of Dies (SMED), which is designed to compile documentation solutions in a consistent, clear, and structured manner. Research findings reveal that the duration of the initial change required reaches 95 minutes with a monthly solvent purchase cost of IDR 10,500,000. By converting several internal activities into external activities, the duration of the change to be completed was reduced to 30 minutes, and the completion cost was IDR 3,500,000 per month. Overall, this research shows an over-time change efficiency of 68% and operational cost savings of up to 66% in the tank cleaning process.

Implementation of the Six Sigma-DMAIC Method in Improving Quality Product Scanning Units in the Electronics Industry Dimas Azib Saputra; Hibarkah Kurnia; Syarah Rizkia Feriaty
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 12 No 2 (2025): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v12i2.1579

The current era of globalization demands that all sectors of the manufacturing industry can improve the quality of service to customers. The electronics industry sector in Indonesia still has several defective products received by distributors. One electronic product that still has defects in the product is the scanner unit product. This research aims to identify defects that occur in the scanner unit assembly process and improve product quality by controlling the process. This research method uses the Six Sigma method at the Define, Measure, Analyze, Improve, Control (DMAIC) stages. This research has found that there are dominant foreign material defects of 221 pcs (35.42%) of the total defects of 624 pcs from January to February 2024. The causal factor is that the man consisting of WI (Work Instruction) is not carried out properly and the operator is not careful. at the checkpoint, the method consists of installing the glass label in the glass box, there is no process of checking the glass box before reuse, the material consists of burrs on the lower housing material, the presence of dust and stains on the carriage cis components, and the machine consists of the vacuum device does not inhale optimally, and the air pressure in the blowing machine is not optimal. The results of this research show an improvement in total defects from 624 pcs in Jan - Feb 2024 to 229 pcs and in April - May 2024, with a percentage of 1.662% decreasing to 0.571%. Meanwhile, the sigma level percentage results increased by 0.33 from 4.39 to 4.72 sigma level.

Optimizing the availability of high frequency precision quenching machines through the overall equipment effectiveness approach at PT XYZ Arif Nuryono; Yuri Delano Regent Montororing; Andika Risky Wijaya; Hibarkah Kurnia
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 2 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i2.2355

One of the Automotive companies that uses a High Frequency Precision Quenching (HFPQ) machine experiences a high downtime problem of 71.27%, which causes a low availability value of 80.10%, which is still below the world-class standard of 90%. so that production targets are not achieved optimally. This study aims to analyze the effectiveness level of the HFPQ machine and identify the factors causing low availability to increase the Overall Equipment Effectiveness (OEE) value. The research method uses an analytical integration approach with the OEE method, Six Big Losses (SBL) analysis, and other methods. The results show that the HPPQ machine's availability value before improvement was 80.10%, after improvement it increased by 92.25%, meaning an increase of 12.15%. The largest losses were caused by downtime losses and setup losses, totaling 37,640 minutes over a 6-month period. This condition resulted in availability being the dominant contributor to OEE losses, with a value of approximately 71.27%. Based on the proposed improvements, the availability increased by 92.25%, meaning an increase of 12.15%, while the OEE value improved from 70.39% to 86.07% or an increase of 15.68% after implementing maintenance improvements. This research is expected to provide a basis for improving the machine maintenance system in order to enhance the effectiveness and productivity of the company.

Co-Authors Andika Risky Wijaya Andini Putri Riandani Arif Nuryono, Arif Dimas Azib Saputra Herry Agung Prabowo Indra Maulana Fahturizal Krisna Budi Juliantoro Nugroho, Oki Widhi Nuryono, Arif Prasmoro, Alloysius Vendhy Syarah Rizkia Feriaty Tri Aprianto Yuri Delano Regent Montororing Zulkarnaen, Iskandar

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