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All Journal Journal of Social And Economics Research PENG: Jurnal Ekonomi dan Manajemen journal of social and economic research
Rhiza Villani
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences

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Analisis Kepailitan, Rantai Pasokan dan Tenaga Kerja di Industri Tekstil Indonesia Rifzki Raihansah; Halimah Zahrah; Rhiza Villani; Hanifa Aulia
PENG: Jurnal Ekonomi dan Manajemen Vol. 2 No. 4 (2025): November: Humanities, Economic and Social Issues
Publisher : Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/4ca9mf30

Abstract

  The main issue in this study is the systemic impact of the bankruptcy of PT Sri Rejeki Isman Tbk (Sritex) on the national textile industry, particularly on supply chain disruptions and mass layoffs affecting thousands of workers. The purpose of this study is to analyze in depth how the bankruptcy of a large company like Sritex affects the continuity of the supply chain, the welfare of the workforce, as well as review its socio-economic implications for the textile industry in Indonesia. This research uses a descriptive qualitative approach with a literature review method. The unit of analysis in this research is relevant documents and articles regarding the Sritex bankruptcy case. Due to the nature of the literature study, no sample number of individuals was interviewed directly, but data was collected from scientific journals, economic news, and related legal documents between 2024-2025. The sampling technique used was purposive sampling based on the relevance and credibility of the sources. Data analysis was conducted using thematic synthesis techniques on the literature reviewed. The results showed that Sritex's bankruptcy caused major disruptions in the national textile supply chain, including the impact on more than ten thousand workers who were laid off. In addition, the closure of the company's operations affected the textile sector's contribution to GDP and caused extensive social impacts. Suggestions from this study are the need to strengthen corporate risk management, early warning regulations by the government, and increase labor protection through retraining and social security. Further research is recommended using a quantitative approach to measure the economic impact in more detail.
INTEGRATION OF LINEAR PROGRAMMING AND QUEUEING MODELS (M/M/s) IN THE OPERATIONAL OPTIMIZATION OF NONGKIBAR CAFE, BANDUNG Ivonne Ayesha; Rhiza Villani; Hoerul Dwi Natya Fauzan; Mugni Nurul Ilmi; Annisa Desfia Nur Fadilah; Anastasya Salsabila Alika Putri; Neng Lisda Sa’adah; M. Fariel Syima
Journal of Social and Economics Research Vol 7 No 2 (2025): JSER, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i2.1413

Abstract

This study aims to optimize the operations of Kedai Kopi Nongkibar Bandung using an operations research approach, focusing on production and service during peak hours. The methods employed include Linear Programming (LP) to determine the optimal production combination of three main menu items (Kopi Lemon, Blue Hawaiian, and Nasi Goreng Yang Zhou) and M/M/s queuing model analysis to evaluate service system performance. Data were collected through direct observation, interviews, and operational documentation, including production time per menu, equipment capacity, workforce allocation, and customer arrival patterns. The LP results indicate an optimal production combination of X₁=75 cups of Kopi Lemon, X₂=45 cups of Blue Hawaiian, and X₃=100 portions of Nasi Goreng Yang Zhou, achieving a maximum daily profit of IDR 4,420,190. Sensitivity analysis reveals that the main constraint is the physical production capacity of each menu, rather than barista working hours. Increasing barista hours without expanding production capacity does not effectively enhance profit. Queuing model analysis shows that the optimal scenario is achieved with four baristas during peak hours, reducing customer waiting time to under two minutes. Implementing barista specialization according to menu complexity effectively minimizes bottlenecks, accelerates service, and improves operational efficiency. These findings provide a quantitative basis for cafe managers to design resource allocation and menu production priorities, highlighting the importance of integrating production capacity planning and workforce management to enhance operational performance and customer satisfaction.
INTEGRATION OF LINEAR PROGRAMMING AND QUEUEING MODELS (M/M/s) IN THE OPERATIONAL OPTIMIZATION OF NONGKIBAR CAFE, BANDUNG Ivonne Ayesha; Rhiza Villani; Hoerul Dwi Natya Fauzan; Mugni Nurul Ilmi; Annisa Desfia Nur Fadilah; Anastasya Salsabila Alika Putri; Neng Lisda Sa’adah; M. Fariel Syima
Journal of Social and Economics Research Vol 7 No 2 (2025): JSER, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i2.1413

Abstract

This study aims to optimize the operations of Kedai Kopi Nongkibar Bandung using an operations research approach, focusing on production and service during peak hours. The methods employed include Linear Programming (LP) to determine the optimal production combination of three main menu items (Kopi Lemon, Blue Hawaiian, and Nasi Goreng Yang Zhou) and M/M/s queuing model analysis to evaluate service system performance. Data were collected through direct observation, interviews, and operational documentation, including production time per menu, equipment capacity, workforce allocation, and customer arrival patterns. The LP results indicate an optimal production combination of X₁=75 cups of Kopi Lemon, X₂=45 cups of Blue Hawaiian, and X₃=100 portions of Nasi Goreng Yang Zhou, achieving a maximum daily profit of IDR 4,420,190. Sensitivity analysis reveals that the main constraint is the physical production capacity of each menu, rather than barista working hours. Increasing barista hours without expanding production capacity does not effectively enhance profit. Queuing model analysis shows that the optimal scenario is achieved with four baristas during peak hours, reducing customer waiting time to under two minutes. Implementing barista specialization according to menu complexity effectively minimizes bottlenecks, accelerates service, and improves operational efficiency. These findings provide a quantitative basis for cafe managers to design resource allocation and menu production priorities, highlighting the importance of integrating production capacity planning and workforce management to enhance operational performance and customer satisfaction.
Co-Authors Anastasya Salsabila Alika Putri Annisa Desfia Nur Fadilah Halimah Zahrah Hanifa Aulia Hoerul Dwi Natya Fauzan Ivonne Ayesha M. Fariel Syima Mugni Nurul Ilmi Neng Lisda Sa’adah Rifzki Raihansah