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PELS (Procedia of Engineering and Life Science)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 28072243     DOI : https://doi.org/10.21070/pels
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
PELS (Procedia of Engineering and Life Science) is an international journal published by Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo. The research article submitted to this online journal will be double blind peer-reviewed (Both reviewer and author remain anonymous to each other). The accepted research articles will be available online following the journal peer-reviewing process. Language used in this journal is Bahasa (Indonesia) or English. Aims and Scope of this journal is science and technology.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 815 Documents
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Cost Efficiency Analysis of Crushed Stone Raw Material Inventory 10-20 Using EOQ Model Approach: Analisis Efisiensi Biaya Persediaan Bahan Baku Batu Pecah 10-20 Melalui Pendekatan Model EOQ Achmad Rizki Dwi Nur Amrin; Tedjo Sukmono
Procedia of Engineering and Life Science Vol. 10 No. 1 (2026): Proceedings of the 9th Seminar Nasional Sains 2026
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v10i1.3079

Abstract

General Background Ineffective control of raw material inventories can significantly increase operational costs for manufacturing companies. Specific Background This study analyzes the control of 10-20 broken stone raw materials at PT. XYZ using the Economic Order Quantity (EOQ) method combined with linear regression forecasting. Knowledge Gap Existing inventory management lacks optimal order structuring, leading to suboptimal purchasing frequencies and elevated inventory expenses. Aims This study aims to determine the economical order quantity and evaluate cost efficiency improvements for raw material inventories. Results Findings indicate an annual raw material requirement of 37,883 tons, an optimal order quantity of 763 tons per order with a purchase frequency of 50 times per year, and a total inventory cost reduction from Rp181.200.563 to Rp25.084.238. Novelty This work establishes an integrated probabilistic EOQ and linear regression framework tailored for ready-mix concrete aggregate supply chain management. Implications Implementing the EOQ model successfully improves inventory management efficiency, achieving an 86.23% cost saving. KEY FINDINGS HIGHLIGHTS Applying the Economic Order Quantity model reduces total inventory costs from Rp181.200.563 to Rp25.084.238. The optimal order quantity is determined at 763 tons per order with a purchasing frequency of 50 times annually. The proposed inventory control approach successfully achieves an impressive cost efficiency savings of 86.23%. Keywords Raw Material Inventory, Eoq, Inventory Control, Cost Efficiency
Workload Distribution Analysis of Medical Staff Using the Full Time Equivalent (FTE) Method for Service Evaluation at a Veterinary Public Health Center: Analisis Distribusi Beban Kerja Tenaga Medis Menggunakan Metode Full Time Equivalent (FTE) Sebagai Dasar Evaluasi Pelayanan Puskeswan kholifatus nurul; Atikha Sidhi Cahyana
Procedia of Engineering and Life Science Vol. 10 No. 1 (2026): Proceedings of the 9th Seminar Nasional Sains 2026
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v10i1.3084

Abstract

General Background Veterinary Public Health Centers are expected to deliver animal health services effectively and efficiently. Specific Background Imbalanced workload allocation among medical personnel at the Veterinary Public Health Center (Puskeswan) can negatively influence the quality of services provided. Knowledge Gap Existing operational activities lack structured task distribution, leading to disparities where some personnel experience excessive workloads while others have insufficient capacities. Aims This study seeks to evaluate workload distribution by applying the Full Time Equivalent method to assess staffing requirements and optimize human resource utilization. Results The analysis reveals that both primary medical personnel fall under the underload category, with Physician A obtaining a Full Time Equivalent value of 0.69 and Physician B recording 0.13. Novelty This work establishes a quantitative workload evaluation framework utilizing Full Time Equivalent metrics tailored specifically for veterinary public health service centers. Implications Redistributing tasks based on comprehensive workload evaluations successfully establishes balanced responsibilities, optimizes human resource efficiency, and preserves high service quality. KEY FINDINGS HIGHLIGHTS Physician A records a Full Time Equivalent value of 0.69 with a total workload of 414.77 hours, classifying the position as underloaded. Physician B records a Full Time Equivalent value of 0.13 with a total workload of 76.03 hours, indicating considerable unused capacity. Task redistribution and schedule adjustments are required to resolve operational imbalances and ensure proportional workload distribution. Keywords Productivity Analysis, Full Time Equivalent, Workload Distribution
Service Quality Evaluation of the Agricultural Service Veterinary Center Based on SERVQUAL Dimensions: Evaluasi Kualitas Pelayanan Puskeswan Dinas Pertanian Berdasarkan Metode SERVQUAL Deven Marsel Putri; Atikha Sidhi Cahyana
Procedia of Engineering and Life Science Vol. 10 No. 1 (2026): Proceedings of the 9th Seminar Nasional Sains 2026
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v10i1.3085

Abstract

General Background The Agricultural Service Veterinary Center functions as a public service unit providing animal healthcare for livestock and companion animals. Specific Background Delivering optimal service quality is essential to improving customer satisfaction and strengthening public trust in government institutions. Knowledge Gap Existing service evaluations reveal negative gap scores across several performance indicators, indicating that current offerings have not fully met customer expectations. Aims This study evaluates service quality based on the five dimensions of the SERVQUAL model—tangibles, reliability, responsiveness, assurance, and empathy. Results The analysis yields an average gap score of -0.229, with responsiveness regarding rapid animal handling exhibiting the most negative gap at -0.5000. Novelty This work implements a structured SERVQUAL perception-expectation gap framework tailored specifically for municipal veterinary public service centers. Implications Continuous service quality improvements targeting major gaps, facility comfort, and personnel responsiveness are required to achieve optimal customer satisfaction. DOCX+ 4 KEY FINDINGS HIGHLIGHTS The overall SERVQUAL evaluation records a negative average gap score of -0.229, demonstrating that services have not completely met expectations. DOCX The indicator for personnel responsiveness during animal handling exhibits the largest negative gap score at -0.5000. DOCX The scheduling compliance indicator achieves a positive gap score of 0.0333, indicating that punctuality successfully meets or slightly exceeds customer expectations. Keywords Servqual, Service Quality, Puskeswan, Service Evaluation
Optimization of Sand Material Inventory Control to Minimize Costs at PT XYZ.: Optimalisasi Pengendalian Persediaan Material Pasir untuk Meminimalkan Cost pada PT XYZ Brillian Vallen Putra Ananda; Tedjo Sukomono
Procedia of Engineering and Life Science Vol. 10 No. 1 (2026): Proceedings of the 9th Seminar Nasional Sains 2026
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v10i1.3092

Abstract

General Background Inefficient inventory management leads to stock accumulation or shortages, disrupting operational continuity in manufacturing and distribution companies. Specific Background PT XYZ currently relies on subjective estimation for material ordering, causing significant fluctuations in sand inventory levels. Knowledge Gap Existing procurement practices lack systematic formulas for optimal order quantities, safety stock, and reorder points, increasing overall inventory expenses. Aims This study analyzes sand material control using Economic Order Quantity, Safety Stock, and Reorder Point methods to minimize total inventory costs. Results The analysis indicates an optimal ordering quantity of 2,827.05 tons per order with a frequency of 4 times per period, a safety stock of 2,030.54 tons, a reorder point of 2,339.24 tons, and an efficient Total Inventory Cost of Rp41,675,539. Novelty This work establishes an integrated inventory optimization model combining empirical EOQ, probabilistic safety stock, and precise reorder point thresholds tailored for concrete manufacturing aggregate supply chains. Implications Systematic inventory control successfully prevents material imbalances, reduces expenditures, and maintains seamless operational continuity. KEY FINDINGS HIGHLIGHTS The optimal ordering quantity for sand material is established at 2,827.05 tons per order with an ideal frequency of 4 times per period. Maintaining a safety stock of 2,030.54 tons and setting a reorder point at 2,339.24 tons effectively mitigates supply uncertainty and prevents stockouts. Implementing the integrated inventory control approach successfully yields an efficient Total Inventory Cost of Rp41,675,539. Keywords Inventory Control, Economic Order Quantity, Reorder Point, Safety Stock
Oil Extraction Costs and Long Run Economic Growth in Iraq Ahmed Dawood Salman; Ahmed Kadhim Dhaen; Bilal Rasim
Procedia of Engineering and Life Science Vol. 10 No. 1 (2026): Proceedings of the 9th Seminar Nasional Sains 2026
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v10i1.3149

Abstract

General Background The food and beverage sector in Indonesia, particularly the cake and snack category, exhibits significant growth driven by rising population numbers, urban expansion, and shifting consumer lifestyles. Specific Background Local culinary enterprises are capitalizing on domestic shifts from imported goods to home-produced items while utilizing modern digital trade platforms to reach broader audiences. Knowledge Gap Despite growing interest in artisanal food businesses, comprehensive empirical assessments integrating marketing mix frameworks, segmentation approaches, and digital adoption for legacy cookie brands remain limited. Aims This study examines the implementation of marketing strategies utilized by J&C Cookies Bandung in an effort to boost sales volume. Results The findings indicate that J&C Cookies effectively applies comprehensive marketing tactics, including digital marketing, branding, product development, pricing, distribution, and promotion, alongside a well-integrated 7P marketing mix and STP approach that successfully expands market share and raises sales. Novelty This research provides a contextual evaluation of combining traditional artisanal manufacturing with omnichannel digital distribution and targeted demographic positioning within the Indonesian cookie industry. Implications These insights offer a strategic benchmark for similar food and beverage enterprises seeking to adapt their marketing frameworks to contemporary digital business environments. Highlights J&C Cookies successfully integrates a 7P marketing mix and STP approach to expand its market share and sustain consumer loyalty. The adoption of omnichannel distribution and digital marketing across platforms like Instagram, TikTok, and e-commerce marketplaces significantly broadens customer reach. Maintaining strict raw material standards and premium pricing reinforces the brand's positioning as a leading artisanal cookie producer. Keywords: Digital Marketing, Marketing Mix, STP, J&C Cookies, Strategy Marketing

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