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Journal : IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA)

Mengoptimalkan Produktivitas Kerja di PT SEN Melalui Analisis Kebutuhan Karyawan Menggunakan Metode Quality Function Deployment Hard, Evin; Harahap, Uun Novalia; Utama, Denny Walady
IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Vol 2 No 3 (2023): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajtma.v2i3.77

Abstract

This research highlights the importance of meeting employee needs to increase work efficiency and effectiveness at PT SEN, a company operating in the oil and gas industry. Using the Quality Function Deployment (QFD) method, this research aims to translate employee desires into technical attributes that management can implement. Through surveys and data collection from 25 respondents, the service attributes desired by employees have been identified, evaluated for validity and reliability, and linked to company performance. The research results show that several attributes, such as laptops with high specifications, comfortable workspaces, and integrated work dashboards, are top priorities for PT SEN employees. Service attribute performance is evaluated through the House of Quality (HOQ) matrix, and target values are set, guiding the improvement and development of necessary facilities and infrastructure. The analysis also leads to identifying unnecessary or less essential attributes of employees. In conclusion, QFD is a practical approach to determining priorities for meeting the needs of PT SEN employees. The analysis results provide significant insight to direct management in improving the work environment and service for employees by focusing on the attributes most prioritized by employee teams.
Optimalisasi Performance Operator Service Sepeda Motor Dengan Menggunakan Metode Work Sampling Pada UMKM Giant Jaya Motor Panggabean, Tri Agus M; Harahap, Uun Novalia; Utama, Denny Walady
IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Vol 3 No 1 (2024): April
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajtma.v3i1.91

Abstract

Motorcycles are a convenient mode of transportation for daily activities. The Giant Jaya Motor motorcycle repair shop, a small and medium-sized enterprise (SME), operates in sales, repair services, maintenance, and spare parts supply. Efficient maintenance and repair services are crucial for smooth operations. The workload at the Giant Jaya Motor workshop is very high, and the operators often need more time to rest, leading to decreased performance and wasted time during services. This study aims to determine the standard time and workload of the operators using the Work Sampling method. This method, similar to a stopwatch time study, is classified as direct work observation because the measurement activities are carried out at the actual workplace being studied. The data processing results show that the standard time required to service one motorcycle is 26.34 minutes, with a working time percentage of 89.41%. It is recommended that the Giant Jaya Motor workshop organize a more efficient work schedule to provide sufficient rest time for operators to reduce fatigue and improve performance. Additionally, improving time management and providing training for operators can reduce time waste and increase overall productivity. Implementing more efficient technology or tools can also speed up maintenance and repair processes without compromising service quality.
Studi Eksperimental Kalor Biodiesel dari Minyak Goreng Limbah Sembiring, Kiki Syahbana; Idris, Muhammad; Hasibuan, Yetti Meuthia; Harahap, Uun Novalia; Darianto, Darianto
IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Vol 3 No 3 (2024): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajtma.v3i3.160

Abstract

The ever-increasing global energy demand necessitates the development of environmentally friendly and sustainable alternative fuels. Biodiesel is a potential solution, mainly when produced from used cooking oil through the transesterification process. This study aims to evaluate the effect of reaction time on the calorific value of biodiesel using the linear regression method. The calorific value was chosen as the primary parameter because it reflects the energy produced by the fuel. The study analyzed experimental data correlating the transesterification reaction time with the biodiesel calorific value. The results showed that the optimal reaction time was 80 minutes, yielding the highest calorific value of 41.35 MJ/kg, exceeding the ASTM D6751 standard. However, the effect of reaction time on calorific value was not statistically significant, with a P-value of 0.67 and a regression coefficient of 0.02. The decrease in calorific value after 80 minutes is likely caused by overreaction, reducing efficiency. The findings indicate that reaction time is not the sole factor influencing biodiesel calorific value. Future research recommendations include incorporating variables such as reaction temperature and raw material molar ratio to enhance model accuracy. This study is expected to provide a foundation for developing high-quality biodiesel that meets international standards.
Penerapan Metode Kansei Engineering dalam Inovasi Produk Sabun Hasibuan , Haddad Alwi Hakim; Harahap, Uun Novalia; Zaharuddin, Zaharuddin; Idris, Muhammad
IRA Jurnal Teknik Mesin dan Aplikasinya (IRAJTMA) Vol 4 No 1 (2025): April
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajtma.v4i1.182

Abstract

To remain competitive, the soap manufacturing industry must understand consumer preferences. This study uses the Kansei Engineering method to explore consumer desires for bar soap, which links user impressions and emotions (Kansei) to product design elements. Thirteen Kansei words were identified and translated into five design items, each with multiple categories. Using orthogonal design in SPSS 24.0, 16 stimuli were generated. Conjoint analysis was then applied to examine the relationship between Kansei words and product attributes. Results revealed the most preferred combination: round shape, white colour, medium size (85g), moisturizing function, and long-lasting fragrance. These findings guide designing bar soap products that better match consumer expectations.