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PROZIMA (Productivity, Optimization and Manufacturing System Engineering)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : 25415115     EISSN : 25415115     DOI : https://doi.org/10.21070/prozima
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Aim: to facilitate scholar, researchers, and teachers for publishing the original articles or review articles. Scope: Industrial Engineering included: Supply Chain Management Optimization and industry system Ergonomics Strategic Management Quality Engineering and Management Sustainability Experiment design Statistic Project Management Productivity Technology Management
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 121 Documents
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Evaluation of Quality Failures in the Production Process Using the Seven Tools and Failure Mode and Effect Analysis (FMEA): Evaluasi Kegagalan Kualitas Proses Produksi Menggunakan Metode Seventools dan Failure Mode and Effect Analysis (FMEA) Luqman Hakim, Achmad; Widiasih, Wiwin
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 9 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v9i2.1761

Abstract

CV. Simetri Utama, a manufacturer of frozen shrimp molds, has two dominant types of defects: imperfect codes and uneven shapes. Based on the research findings, the product defect rate exceeds the company standard of 3%. This study aims to identify the types of defects, analyze the contributing factors and impacts of failures, and propose improvement recommendations to minimize the risks of product defects. The methods used are the Seven Tools and Failure Mode and Effect Analysis (FMEA). The Seven Tools are applied to analyze and resolve issues related to product quality. The results show that uneven shape defects account for 54.55%, making them the most dominant, followed by imperfect code defects at 45.45%. Failure Mode and Effect Analysis (FMEA) is utilized to determine the priority level of risks through the assessment of Severity, Occurrence, and Detection. The main contributing factors include improper tool and zero-point settings, incorrect tool selection, suboptimal parameters, as well as environmental and machine conditions. Based on the Risk Priority Number (RPN) generated through the FMEA approach, six failure types are prioritized for evaluation, namely finishing, roughing, tool offset adjustment, semi-finishing, zero-point setting, with tool offset adjustment being the top priority for improvement. The application of the Seven Tools and FMEA methods is expected to reduce the risks of identified potential failures, thereby lowering the defect rate and continuously improving product quality
Implementation of Performance Measurement Using the Malcolm Baldrige Criteria for Performance Excellence (MBCfPE) and SWOT Analysis to Achieve Competitive Excellence: Implementasi Pengukuran Kinerja Model Malcolm Baldrige Criteria for Performance Excellence (MBCfPE) dan Analisa SWOT Untuk Kinerja Unggul Bersaing Wahyu Ivan Syahputra; Ni Luh Putu Hariastuti
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1745

Abstract

The rapid technological development in this era has revolutionized the business world, providing significant impact on both service and product sectors. In service provision, service quality is influenced by various factors, particularly company performance. This decline in performance quality is not caused by a single aspect alone, but rather by the complexity of interrelated internal factors within a company. To analyze the company performance at CV JKK, an approach using the Malcolm Baldrige Criteria for Performance Excellence method with seven criteria and SWOT analysis is employed as strategic planning for proposed company strategies. From the measurement results using the MBCfPE method, a total Malcolm Baldrige score of 808 was obtained with a percentage of 80.8% from the total overall score of 1,000. This value indicates that the company is at the Excellent level and falls into the Benchmark Leader category with a point range between (776 – 875). The SWOT analysis results show that the company is in an advantageous strategic position in the first quadrant (S-O Strategy). This position indicates that the company has solid internal strengths and faces promising external opportunities. Based on this condition, the company is recommended to implement an aggressive strategy by maximizing all internal assets and advantages to gain optimal benefits from the opportunities available in the external environment. This approach is expected to accelerate the achievement of sustainable business growth targets.
Analysis of The Improvement of Cone Machine Using Overall Equipment Effectiveness Method (OEE) Julius Mulyono; Chatarina Dian Indrawati; Peter Rhatodirdjo Angka; Andrew Joewono
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1751

Abstract

The cone machine is the main machine, which is used to produce the cone for ice cream.  So, it is important for measuring the effectiveness of the machine. Overall Equipment Effectiveness (OEE) is one of method to determine the machine effectiveness. The calculation results that the cone machine effectiveness is still under the ideal standard of Overall Equipment Effectiveness, the percentage of effectiveness is 73.85%, percentage of availability rate is 91.55%, performance rate is 82.56%, and quality rate is 97.61%. The ideal OEE standard for manufacturing is 85%; while for food products it is 64%. This figure was adopted by this company. Meanwhile, using fishbone diagram, there are four factors that affect the productivity of cone production, that is, human, machine, method, and material (raw material). Improvements that are needed to be done are conducting training for the machine operators, and using better machine component, i.e. baking plate bearing components.
An Integrative Fuzzy FMEA–DEMATEL Approach for Waste Reduction in Lean Implementation in Higher Education Institutions: A Literature Review: Pendekatan Integratif Fuzzy FMEA–DEMATEL untuk Pengurangan Pemborosan dalam Penerapan Lean di Institusi Pendidikan Tinggi: Tinjauan Literatur Lusia Permata Sari Hartanti; Ivan Gunawan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1770

Abstract

Lean philosophy offers higher education institutions (HEIs) opportunities to improve operational efficiency. Implementing Lean Higher Education requires a systematic, structured approach, as waste in HEIs is highly complex and interrelated. This study proposes an integrative framework using fuzzy Failure Mode and Effect Analysis (FMEA) and the Decision Making Trial and Evaluation Laboratory (DEMATEL) methods to evaluate waste in HEIs. A conceptual literature review is employed to synthesize relevant articles aligned with the research objectives and to formulate an integrative fuzzy FMEA–DEMATEL framework. Fuzzy logic is used to reduce subjectivity in waste assessment, and DEMATEL is used to map causal relationships among wastes. The fuzzy FMEA-DEMATEL integration framework offers a solution for identifying and reducing waste in IPT. However, to evaluate the fuzzy FMEA-DEMATEL integration framework resulting from this study, additional empirical validation is needed.
A Simulation of University Marketing Strategies Through Print and Digital Advertising Media: Simulasi Pemasaran Universitas dalam Media Iklan Cetak ataupun Online Ega Adrianto; Ignatius Luddy Indra Purnama; Karina Amanda Larasati; Edo Ariful Hudha
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1778

Abstract

This study aims to analyze the effectiveness of higher education promotional media in attracting prospective students’ attention, particularly among recently graduated high school students, by comparing traditional and digital advertising media. The analysis was conducted by measuring the duration of students’ attention toward each type of promotional media displayed during the process of searching for university information. The results indicate that traditional promotional media, such as education expos and billboards, still play an effective role in increasing institutional awareness and attracting prospective students’ attention. On the other hand, digital media such as social media and websites provide faster, broader, and more interactive access to information for prospective students, parents, and teachers. These findings suggest that higher education institutions need to optimally integrate traditional and digital promotional strategies to enhance marketing communication effectiveness and strengthen institutional competitiveness in the digital era.
Supplier Selection For Technical Labor Procurement Using Fuzzy Analytical Hierarchy Process Approach In The Power Company Hari Asman; Niniet Indah Arvitrida; Suparno
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1785

Abstract

Effective procurement and supplier selection processes are needed to create a low-cost and reliable supply chain. A power company is having difficulty determining a supplier of technical personnel because there was no scientific method used to weight and prioritize supplier assessment criteria. So far, decision-making has been done more subjectively, causing a mismatch between the result of supplier selection and the company’s needs. This study uses a supplier selection model with the Fuzzy Analytical Hierarchy Process (FAHP) method to calculate the weight of each criterion and sub-criterion and determine the best supplier. The criteria used in this study include Financial Capability, Performance, Similar Experience, Expert Personnel, Office at Work Location, Similar Contracts, and Price, based on the company regulations. The result of this study shows the weight of each criterion that is: Financial Capability at 0.2007, Similar Experience at 0.1887, Performance at 0.1744, Price at 0.1545, Expert Personnel at 0.1518, Office at Work Location at 0.0877, and Similar Contracts at 0.042. Evaluation of three supplier alternatives indicates that supplier X obtained the highest preference value (0.9263), followed by supplier Y (0.8448) and supplier Z (0.8338). Sensitivity analysis on bid price changes demonstrates that supplier Z is more sensitive to price reductions than supplier Y, but supplier X remains the best alternative. Overall, FAHP effectively supports objective and comprehensive supplier selection decision-making. The proposed model can improve consistency, transparency, and procurement accountability.
Inventory Management of Primary Transmission Equipments in an Electric Power Company: A Comparative Study of Continuous Review and Periodic Review Methods Farhan Asyifa; Suparno Suparno; Effi Latiffianti
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1784

Abstract

This study investigates the inventory management system of primary transmission equipment (MTU) in an electric power company and compares the effectiveness of continuous and periodic review methods. This study is motivated by a surge in the failure rate of critical components in 2022, as well as procurement demand patterns dominated by intermittent (98 items) and lumpy (56 items) characteristics with total procurement value above Rp 2.1 trillion. The methodology consists of material classification, combination of the ADI ‑ CV and ABC methods, a calculation of inventory parameters through continuous review (s, Q) model for lumpy materials and periodic review (R, s, S) model for intermittent materials with a review interval (R) of six months, chosen to align with the company's semiannual stock opname policy, and validation using a Monte Carlo simulation on a sample of 20 MTUs from three main transmission units: UIT JBB, UIT JBT, and UIT JBM. The findings demonstrate that the current condition has reached a service level of 0.00% for all materials. The results of implementing the models show an increase in service levels to averages of 63.19% (UIT JBB), 69.31% (UIT JBT), and 66.21% (UIT JBM), with an overall service level of 68.82%. Service level standard deviations varied from 7.65% to 27.01% and depended on the material properties for inventory parameters. The study found that intermittent materials are better suited to a periodic review, while lumpy materials are more effectively managed with a continuous review. Furthermore, the Monte Carlo simulation is required to validate the parameters. The recommended policies are phased implementation beginning with the best-performing material (CVT150‑RFQ 007, service level 76.13%), limited joint inventory for high‑value items, and the creation of a real‑time inventory information system.
EPC Contractor Selection Using Fuzzy AHP, TOPSIS, Partial Value Function, and Time Decay Correction Methods I Nyoman Sudhama Yasa; Suparno Suparno; Ratna Sari Dewi
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1786

Abstract

The selection of EPC contractors at PT XZ heavily relies on the lowest-bid method, which focuses on cost-effectiveness but may disregard the contractor's technical expertise, ability to implement projects, and previous track record. This study develops a model for contractor selection based on performance and objectivity by integrating some methods such as fuzzy AHP, TOPSIS, partial value function (PVF), and time decay correction (TDC). Fuzzy AHP is used to assign weight to criteria and TOPSIS is used to rank the contractors, PVF and TDC is used to evaluate the performance of previous projects more proportionally. The results show that Price Bid has the biggest weight at 0.362, with Technical Qualifications second at 0.279 and Previous Project Performance third at 0.234. This result shows that price remains a dominant factor in selecting EPC contractors. However, the price is still combined with technical criteria, project execution capability, project experience, and the contractor’s past performance, so the model provides a more balanced evaluation, where cost efficiency is considered without ignoring the risks of project delays, additional work, lower work quality, and failure to achieve the project target. Based on the TOPSIS results, Contractor E (0.8837) is the most suitable contractor for Project XYZ. However, the difference in preference scores should also be considered as an early signal of project risk, particularly for lower-ranked contractors (A, B, C, and D). PT XZ should therefore set a minimum preference score before awarding the contract. This would help ensure that the selected contractor is not only competitive in price, but also strong in technical capability and past performance. The sensitivity analysis confirms that the ranking is stable, making the model useful for transparent and risk-based contractor selection.
Development of A Supply Chain Resilience Model For Flood Disasters in PLN Customer Service Unit (ULP) Ahmad Darmawan Andhika Bakti; Iwan Vanany
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1787

Abstract

Flooding can disrupt electricity distribution systems, particularly within the PLN Customer Service Unit (ULP) operational area, affecting both operational performance and customer service delivery. Therefore, it is important to identify potential disruption events and understand the organizational capabilities needed to improve operational resilience during flood conditions. This study develops a Supply Chain Resilience (SCRes) model for flood-related disruptions that may cause widespread outages within PLN ULPs. The research was conducted in the service area of PT PLN (Persero), Distribution Main Unit of South Sumatra, Jambi, and Bengkulu. This study used a Bayesian Network to analyse how flood-related disruption events are interconnected under uncertain conditions. The probability values generated by the model were then converted into expected values to determine disruption priorities. Afterward, the priority disruptions were mapped to SCRes capabilities to examine which capabilities contribute most to mitigating their impacts. The analysis shows that the most significant disruptions involve increasing customer complaints, delays in operation and maintenance activities, impacts on substations and distribution networks, limited mobility of technical personnel, and longer outage durations. Regarding SCRes capabilities, the most contributive elements are Learning and Improvement Capability, coordination among ULP–UP3–UID during disturbances, and Operational Flexibility. The study also identifies capability gaps for several disruptions that are not optimally mitigated by the current capabilities of PLN.
Performance Analysis of the Procurement Process Using Process Mining: Analisis Kinerja Proses Pengadaan dengan Menggunakan Process Mining Ni Putu Cynthia Sasmita Dewi; Iwan Vanany
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 10 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v10i1.1794

Abstract

Procurement process performance plays an important role in supporting cost efficiency, material availability, and operational continuity. However, in Purchase-to-Pay processes, delays and corrective activities often appear not only in the final completion time, but also in the path followed by each case. This paper examines the BPI Challenge, Purchase to Pay event log using process mining, with a focus on completed cases in the 3 way matching invoice before goods receipt process. The analysis covers activity frequency, process variants, throughput time, bottleneck transitions, and rework. The dominant variant represented only 31.43% of cases, which means that most cases moved through paths outside the main variant. Completed cases had an average completion time of 58.17 days. The longest bottleneck occurred from “Record Invoice Receipt” to “Clear Invoice”, with an average duration of 28.51 days, pointing to invoice settlement as the main waiting point. Rework was most frequent in “Change Quantity” and “Change Price”, at 18.14% and 14.16%, respectively. Cases with repeated “Change Price” also had a higher average completion time, increasing from 63.86 to 87.47 days. These results show how process mining can locate waiting points and corrective activities that require attention in procurement improvement.

Page 12 of 13 | Total Record : 121

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