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All Journal Jurnal Teknik RESLAJ: RELIGION EDUCATION SOCIAL LAA ROIBA JOURNAL Diseminasi : Jurnal Pengabdian kepada Masyarakat Indonesian Journal of Industrial Engineering & Management Spektrum Industri J-Proteksion : Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin
Purwojatmiko, B. Handoko
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Religion Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Analisis Pengaruh Kepuasan dan Motivasi Kerja terhadap Kinerja Penjual pada PT Indomobil Trada Nasional Taufan, Sonny; Mustofa, Ismail; Mustofa, Mustofa; Purwojatmiko, B. Handoko
Reslaj : Religion Education Social Laa Roiba Journal Vol 6 No 2 (2024): Reslaj: Religion Education Social Laa Roiba Journal
Publisher : LPPM Institut Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v6i2.5506

Abstract

Job satisfaction and work motivation are identified as critical factors that can influence an individual's level of performance in a competitive work environment such as the automotive industry. This research aims to analyze the influence of job satisfaction and work motivation on the performance of branded vehicle sellers at PT Indomobil Trada Nasional – KIA Kelapa Gading. This research uses a quantitative approach with survey methods. Data was collected through a questionnaire distributed to KIA vehicle sellers at PT Indomobil Trada Nasional. Respondents in this research were sellers who were actively working. The collected data was then analyzed using regression analysis techniques to measure the relationship between the independent variables (job satisfaction and work motivation) and the dependent variable (seller performance). It is hoped that the results of this research will provide deeper insight into the factors that influence the performance of KIA sellers in these automotive companies. The results of the regression analysis will show the extent to which job satisfaction and work motivation are able to predict sales performance. These findings will provide valuable input for the management of PT Indomobil Trada Nasional in formulating strategies to improve sales performance through increasing job satisfaction and motivation. It is hoped that this research will contribute to the human resource management literature and provide practical guidance for companies in the automotive industry or other similar sectors. In addition, this research can also be a basis for further research on the influence of other factors that can influence individual performance in different work contexts.
PENINGKATAN EFISIENSI BISNIS: SOSIALISASI TEKNOLOGI CLOUD UNTUK PENGELOLAAN PERSEDIAAN BENGKEL MOTOR Sumasto, Fredy; Imansuri, Febriza; Purwojatmiko, B. Handoko; Aminudin, Muhammad; Saputra, Alfiolani
Diseminasi: Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 1 (2024)
Publisher : Pusat Pengabdian kepada Masyarakat- LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/diseminasiabdimas.v6i1.6591

Abstract

Program Pengabdian kepada Masyarakat (PKM) yang dilakukan bertujuan meningkatkan keberlangsungan bisnis Bengkel Motor melalui sosialisasi manajemen persediaan berbasis cloud. Melalui desain dan implementasi Mini Sistem Inventory Control (Mini SICo), program ini berfokus pada meningkatkan pemahaman dan keterampilan pengelolaan persediaan pada pemilik dan karyawan bengkel. Kegiatan ini meliputi kunjungan lapangan, sosialisasi konsep manajemen persediaan, dan demonstrasi penggunaan Mini SICo. Hasilnya menunjukkan peningkatan yang signifikan dalam pemahaman mitra tentang manajemen persediaan dan respons positif terhadap sosialisasi serta implementasi alat bantu ini. Evaluasi program menunjukkan bahwa Mini SICo memberikan solusi praktis untuk optimalisasi persediaan dan memberikan kontribusi nyata pada peningkatan daya saing dan keberlangsungan bisnis bengkel motor di masa depan. The Community Service Program (PKM) aims to improve the business sustainability of motorcycle repair shops through the socialization of cloud-based inventory management. Through the design and implementation of the Mini Inventory Control System (Mini SICo), this program focuses on improving the understanding and skills of inventory management in workshop owners and employees. The activities included field visits, socialization of inventory management concepts, and demonstration of the use of Mini SICo. The results showed a significant increase in partners' understanding of inventory management and a positive response to the socialization and implementation of this tool. The program evaluation showed that Mini SICo provided a practical solution for inventory optimization and made a real contribution to improving the competitiveness and future sustainability of the motorcycle workshop business.
Comparative Study of RCCP and System Dynamics in Productivity Capacity Purwojatmiko, B. Handoko; Cessari, Raissa Annisa; Ambarwati, Laksmi; Sumasto, Fredy
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 3: October 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i3.23806

Abstract

One of the manufacturing companies in Indonesia which is engaged in foundry has a production line for various types of automotive components and has produced 2051 types of products. One of the products produced is the Trunion Bracket. In the molding process, cores are needed that can provide cavities in the product. The current production process has not been able to meet demand because the production cycle time does not match the predetermined time. This discrepancy will affect consumer satisfaction. Therefore, it is necessary to make a schedule for the period July to December 2022, to assist companies in facilitating the scheduling of the production process using Rough Cut Capacity Planning and System dynamics. The calculation results from Rough Cut Capacity Planning indicate that the 5th workstation experienced a shortage of production time from July to September 2022, so an additional number of working hours had to be made. The addition of the number of working hours before improvement was 367 hours and after improvement was 112 hours. Meanwhile, the results of system dynamics modeling for the period July to December 2022, require an additional working hour before improvement by 308 hours and 205 hours after improvement are carried out. The companies can implement strategies based on the results of system dynamics simulations to identify, forecast, and plan production capacity requirements for the next.
Desain Sistem Pneumatikaa untuk Otomatisasi Pemilahan Barang di Industri Otomotif Arohman, Abdul Wahid; Purwojatmiko, B. Handoko; Agustin, Desy
J-Proteksion: Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin Vol. 9 No. 2 (2025): J-Proteksion
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jp.v9i2.2688

Abstract

Sistem pneumatika menawarkan solusi yang efektif untuk proses pemilahan barang berkat respons cepat dan kemampuan operasional yang tinggi dalam lingkungan industri yang berat. Dengan memanfaatkan udara bertekanan untuk menggerakkan aktuator dan pengendali, sistem ini dapat dengan cepat dan akurat memisahkan barang NG dari barang yang layak produksi. Penggunaan simulasi memungkinkan pengujian dan penyesuaian desain secara virtual sebelum diimplementasikan di lapangan, mengurangi biaya dan waktu pengembangan. Pemilahan barang yang tidak sesuai standar sangat penting untuk menjaga kualitas produk akhir. Dengan teknologi simulasi, kita dapat menyimulasikan berbagai skenario dan parameter operasional untuk memastikan bahwa sistem pneumatika yang dirancang dapat secara efektif memisahkan barang NG dari barang yang layak produksi. Teknologi simulasi canggih memungkinkan analisis yang mendalam terhadap aliran udara, kinerja aktuator, dan interaksi antara sensor dan pengendali dalam sistem pneumatika. Penelitian ini melibatkan berbagai tahap mulai dari perancangan awal, simulasi, hingga analisis hasil simulasi. Hasil dari mengembangkan model simulasi yang komprehensif untuk meminimalkan dan memastikan proses pemilahan yang lebih konsisten dan berkualitas.
Implementation of DMAIC for Production Quality Control: Case Study of Power Supply Production in Indonesia Purwojatmiko, B. Handoko; Ambarwati, Laksmi
Jurnal Teknik Vol 21 No 2 (2023): Jurnal Teknik
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37031/jt.v21i2.342

Abstract

The level of competition in the manufacturing industry is getting tougher, making companies must be able to provide the best service to customers. One of the companies in Indonesia engaged in asset monitoring and ship navigation systems, has a production division that produces power supply products. Based on the analysis that has been carried out at the company that there are problems such as a damaged PCB connector that makes the product categorized as a manufacturing defect. This research aims to be able to find alternative improvements to production processes that have a high defect rate. The Define, Measure, Analyze, Improve, and Control (DMAIC) framework is used as a method to shape the mindset of management and employees to be able to solve these problems. Based on this framework, three causes of the problem were found, namely human factors, materials, and inappropriate methods during the production process. Therefore, appropriate corrective actions are taken, and a control process is carried out by comparing control charts, Defects Per Million Opportunities (DPMO) and sigma levels to determine the impact of changes from the improvements made. Quantitatively, there was an increase in the DPMO value of 39.47% and an increase in the sigma level of 8.64%. This shows that the DMAIC framework can provide the right solutions and preventing the same quality problems from happening again.
Reducing Defects Using DMAIC Methodology in an Automotive Industry Imansuri, Febriza; Chayatunnufus, Tasya; Safril, Safril; Sumasto, Fredy; Purwojatmiko, B. Handoko; Salati, Dianasanti
Spektrum Industri Vol. 22 No. 1 (2024): Spektrum Industri - April 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v22i1.171

Abstract

Quality is when it meets the wants and expectations of customers or even exceeds them. Every company must raise the quality of its current products and services. A complete and adaptable approach for establishing, maintaining, and maximizing company success is Six Sigma. Define, Measure, Analyze, Improve, and Control (DMAIC) is one of the tools used to implement Six Sigma. PT. KRM is one company engaged in the automotive sector, which produces Colt Diesel trucks. This research focuses on the welding processes. Defective products were found in as much as 5% of total production, exceeding the company's target of 3%. This research was conducted to determine the process capability based on product defects with the Six Sigma DMAIC method approach, then to find out the proposal for implementing quality control by analyzing the causes of defects in the production process and then looking for continuous improvement with the 5W+1H concept. The improvement was made to decrease the DPMO value of 4.496 and increase the sigma value of 0.19. This study demonstrates how the Six Sigma DMAIC approach can improve the quality of the cabin production process for the part side outer pillar LH. This case can help company managers apply Six Sigma methods to solve complex problems in other processes.
Co-Authors Abdul Wahid Arohman Ambarwati, Laksmi Aminudin, Muhammad Cessari, Raissa Annisa Chayatunnufus, Tasya Imansuri, Febriza Mustofa Mustofa Mustofa, Ismail Safril Safril Salati, Dianasanti Saputra, Alfiolani Sumasto, Fredy