JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri
Jati Unik with p-ISSN 2597-6257, e-ISSN 2597-7946 as a publication of industrial engineering and management disciplines from research, original writing for academics, practitioners and the public as well as grant-funded research by certain parties. This journal aims to provide a scientific forum in the field of industrial engineering and management and play a role in the process of accumulation of knowledge, values ​​and skills that will be transformed from one generation to the next. Not only that, this journal provides a practical and systematic method for resolving a case that occurs in the scope of industrial engineering and management. Jati Unik includes research contributions that area not limited to the following fields: Design & Manufacturing Engineering, Product Design & Development, Ergonomic and Human Factors. For writers interested in submitting a script, please register online. The manuscript is received no later than one month before the issuance month, and the reviewer process is online for approximately one month. Acceptance and rejection are done online and sent by email. Jati Unik have been indexed on: Jati Unik is sponsored by the Department of Industrial Engineering, Faculty of Engineering, Universitas Kadiri, in cooperation with Ikatan Nasional Tenaga Ahli Konsultan Indonesia (INTAKINDO) and Badan Kerjasama Penyelenggara Pendidikan Tinggi Teknik Industri (BKSTI)
Industrial Engineering, Engineering of Faculty, Universitas Kadiri
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Penerapan Metode Seven Tools dan SWOT untuk Analisis Pengendalian Kualitas Wheelset pada Proses Overhaul PT. XYZ
Wheelsets are vital components in railway systems that function to support loads, maintain stability, and transmit motion forces during operation. However, the high level of wheelset defects during the overhaul process indicates the need for a more effective and sustainable quality control system. This study aims to analyze the dominant defect types and formulate improvement strategies for wheelset quality at PT XYZ using the Seven Tools method and SWOT analysis. The research methodology was conducted through the collection of wheelset inspection data from January to December 2024, which were then analyzed using check sheets, histograms, Pareto diagrams, control charts, scatter diagrams, and fishbone diagrams. The results showed that wheel wear was the dominant defect at 61%, followed by cracks at 20% and flat spots at 19%. These findings indicate that operational factors, machine maintenance, and SOP implementation are the main causes of defects. Improvement strategies focused on enhancing technician training, optimizing maintenance activities, and strengthening operational supervision. This study contributes to the development of a more systematic wheelset quality control approach to support railway operational reliability and safety.
Copyright (c) 2026 Muhamad Iqbal Ramadhan, Ratih Setyaningrum https://creativecommons.org/licenses/by-sa/4.0
Optimalisasi Kualitas Layanan UMKM Sepatu Bungah Menggunakan SERVQUAL dan TOPSIS dengan Pendekatan Rekayasa Nilai
The increasingly competitive footwear MSME business environment requires business owners to improve service quality while maintaining customer satisfaction and loyalty. However, many MSMEs still face challenges related to response speed, service consistency, and personal communication. This study aims to analyze the service quality of footwear MSMEs in Bungah District using the SERVQUAL, Value Engineering, and TOPSIS approaches to determine priority strategies for service improvement. The study employed a quantitative method involving 70 customers of footwear MSMEs. The results showed that the average SERVQUAL gap was −0.75, indicating that service quality had not yet met customer expectations. The responsiveness dimension became the most critical aspect with a gap value of −1.25, followed by empathy at −1.00, while reliability had a gap of −0.60. These findings indicate that customers highly demand fast, responsive, and personalized services. Based on value engineering analysis, the service functions that contributed most significantly to quality improvement were rapid response, service accuracy, and customer communication. Furthermore, the TOPSIS method identified WhatsApp Business implementation as the top priority strategy for improving response speed, with a preference value of 0.78, followed by production and delivery scheduling with a value of 0.72. This study contributes to the development of MSME service quality improvement strategies that are more systematic, measurable, and customer-oriented.
Copyright (c) 2026 Silvana Mohamad, Moh. Ainul Fais, Dedy Kunhadi, Sofiyanurriyanti https://creativecommons.org/licenses/by-sa/4.0
Evaluasi Struktur Bangunan Eksisting Menggunakan Fmea-Fishbone Diagram Untuk Keperluan Pemeriksaan Kelaikan Fungsi Bangunan
This study examines the integration of structural performance analysis and occupational accident risk assessment in a multi-storey building project using a quantitative approach based on nonlinear pushover analysis and FMEA. Structural evaluation is commonly conducted separately from safety risk analysis, resulting in non-integrated technical decision-making and risk control. This study aims to identify the seismic performance of the structure and determine accident risk priorities based on the Risk Priority Number (RPN). Nonlinear pushover analysis was performed using ETABS to obtain drift and base shear values; risk evaluation applied FMEA (Severity, Occurrence, Detection); and root causes were analyzed using a Fishbone Diagram. The maximum drift reached 216.317 mm with a base shear of 45,737.96 kN (Infilled Frame, Y-direction) and 206.337 mm with 10,199.32 kN (Open Frame, Y-direction). The highest risk occurred in foundation work with an RPN of 174,857.14. Strengthening lower-storey stiffness and implementing performance-based high-priority risk control are required. This research proposes an integrated evaluation model linking structural response and construction safety risk management quantitatively and systematically.
Copyright (c) 2026 I Kadek Yoga Dwi Mahendra, I Gede Adi Susila, Ida Ayu Made Budiwati https://creativecommons.org/licenses/by-sa/4.0
Determinasi ServQual-IPA Loyalitas Konsumen Klinik Larissa
Intense competition in the beauty clinic industry requires consistent service quality improvement because customer satisfaction determines loyalty and business sustainability. Service marketing literature confirms that perceived service quality can be measured through ServQual; however, studies integrating ServQual, Importance Performance Analysis (IPA), and Customer Satisfaction Index (CSI) in beauty clinic settings remain limited. This gap motivates the present study to analyze priority service attributes at Larissa Aesthetic Center Darmo. The objectives are to evaluate service quality, identify improvement priorities, and measure customer satisfaction levels. The study employed a quantitative approach with correlational, comparative, and associative designs involving 85 respondents selected through purposive sampling. Data were collected using Likert-scale questionnaires that met validity and reliability standards. The findings reveal a service conformity level of 93.96%, although several ServQual dimensions still showed negative gaps. IPA positioned facility comfort and staff professionalism in the main priority quadrant, while a CSI score of 85.09% indicated very high customer satisfaction. The main insight suggests that high overall satisfaction does not eliminate specific service weaknesses. This study contributes practical data-driven guidance for clinic management, while its originality lies in integrating three measurement tools within the beauty clinic context.
Copyright (c) 2026 Poniman https://creativecommons.org/licenses/by-sa/4.0
Analisis Kelayakan Kapasitas Produksi Pressure Vessel Menggunakan Metode RCCP dengan Pendekatan BOLA
Penelitian ini menganalisis perencanaan kapasitas pada proses produksi Pressure Vessel di PT. Boma Bisma Indra (BBI) yang sering mengalami keterlambatan pengiriman meski karyawan bekerja lembur. Permasalahan utama berasal dari sistem perencanaan produksi berbasis make to order tanpa peramalan permintaan jangka panjang dan tanpa evaluasi kesesuaian kapasitas. Metode Rough-Cut Capacity Planning (RCCP) dengan Bill of Labor Approach (BOLA) digunakan untuk menilai ketersediaan kapasitas terhadap Master Production Schedule (MPS). Hasil penelitian menunjukkan mayoritas kelayakan kapasitas yaitu Load Capacity (LC) bernilai negatif, menandakan kapasitas tersedia tidak mampu memenuhi permintaan. Kondisi ini berimplikasi pada tingginya beban kerja, biaya produksi, serta keterlambatan pengiriman. Oleh karena itu, diperlukan perencanaan jangka panjang oleh Perusahaan yang mempertimbangkan tren permintaan, ketersediaan bahan baku, efisiensi produksi, serta evaluasi berkala guna mengoptimalkan kapasitas dan meningkatkan ketepatan pengiriman. Perhitungan RCCP dengan pendekatan BOLA di PT. BBI secara langsung mengidentifikasi kesenjangan antara kapasitas total yang dibutuhkan dan kapasitas yang tersedia, sehingga analisis dapat dilakukan secara agregat tanpa perlu memecah per stasiun kerja.
Copyright (c) 2025 Chintia Dwi Wangsa Kuswardani, Benedikta Fini Alfionita Wika, Rudi Nurdiansyah https://creativecommons.org/licenses/by-sa/4.0
Analisis Potensi Bahaya dan Evaluasi Risiko Menggunakan Job Safety Analysis (JSA) untuk Meningkatkan Keselamatan Kerja di PT Titilas Sembada Primandiri
Work accidents are still common in the manufacturing sector despite various preventive measures that have been implemented. PT Titilas Sembada Primandiri, a company that manufactures electrical panels, faces high risks due to the complexity of the assembly process and the use of voltage equipment. This condition demands an in-depth analysis to identify hazards and assess the level of risk. This research aims to identify potential hazards, assess work risks, and provide control recommendations through the implementation of Job Safety Analysis (JSA) to improve occupational safety at PT Titilas Sembada Primandiri. A qualitative approach is used with direct observation in the work area and the application of JSA at each stage of electrical panel assembly to recognize hazards and determine control measures. The main hazards were found to be electric shock, physical injury, and equipment damage. The use of PPE, safety training, and strict implementation of SOPs are recommended to reduce the risk. JSA is effective in identifying and reducing the risk of work accidents in manufacturing environments. The research strengthens JSA as a proactive risk management tool in the industrial sector. Provide guidelines for companies in improving the culture of occupational safety.
Copyright (c) 2025 Muhammad Adam Kemal Atthariq, Kusnadi Kusnadi, Asep Erik Nugraha https://creativecommons.org/licenses/by-sa/4.0
Evaluasi Kritis Proses Produksi Gula Aren Melalui Pendekatan FMEA – Risk Matrix
Traditional palm sugar production faces various risks such as material contamination, occupational accidents, and procedural inconsistencies that reduce product quality and production safety. Indonesia’s national sugar trade deficit reached 5 million tons in 2023, highlighting the urgent need for risk mitigation in this sector. This study aims to identify, measure, and prioritize risks across 22 stages of the palm sugar production process using the FMEA–Risk Matrix approach, supported by mitigation strategies focused on occupational safety and product quality. A descriptive research method was applied through field observations and interviews. Each potential risk was evaluated using Severity, Occurrence, and Detection scores and then mapped using the Risk Matrix. The analysis identified five main risks, with the highest RPN found in the risk of animal or ant bites (R4 = 175), followed by injury from cutting tools (R5 = 112) and falling from trees (R3 = 96). Most risks were categorized as medium (45%), followed by low (39%) and high (16%). The most dominant mitigation efforts (61%) included routine container cleaning, use of heat-resistant clothing and Kevlar gloves during cooking, and daily monitoring of PPE compliance with a minimum target of 90%. This integrated approach effectively identifies and prioritizes risks in palm sugar production, while enhancing worker safety and product quality. The use of heat-resistant PPE and hygienic procedures has been proven to significantly reduce burn injuries and material contamination. This study expands the application of industrial risk management to traditional agroindustry, offering a measurable mitigation model for palm sugar production and supporting efficiency and sustainability in the national sugar supply chain.
Copyright (c) 2025 Nispi Azzumardi, Ananda Syalsabila Hidayat, Yusril Iza Mahendra https://creativecommons.org/licenses/by-sa/4.0
Perancangan Ulang Tata Letak Laboratorium Produksi Menggunakan Metode Systematic Layout Planning dan Blocplan
The current layout of the production laboratory still faces obstacles that hinder both practicum activities and production processes. Inefficient machine placement causes long material transfer distances, while simultaneous machine usage leads to activity congestion that disrupts workflow. This study aims to redesign the laboratory layout by applying Systematic Layout Planning (SLP) in the higher education context. Data were collected through purposive sampling, covering existing conditions, material flow, and space requirements. The analysis was carried out using SLP to generate alternative layouts, which were then evaluated with the Blocplan program as an optimization tool. The results show that the initial layout produced material transfer distances of 125 m in the Welding Lab, 50 m in the Milling Lab, and 88 m in the Turning Lab. The proposed SLP layout reduced these distances to 55 m, 30 m, and 62 m, while Blocplan only achieved 75 m, 43 m, and 73 m, respectively. Thus, SLP proved more effective than Blocplan, reducing transfer distances by more than 50% in several laboratories. This study contributes theoretically by enriching the literature on laboratory layout and practically by offering a more efficient design that can serve as a reference for developing practicum facilities in higher education.
Copyright (c) 2025 Ashar Pramono, Baso Riadi Husda, Fahri Anwar, Achmad Romadin, Erniyani https://creativecommons.org/licenses/by-sa/4.0
Optimalisasi Perawatan Pesawat Terbang dengan CPM, PERT, dan Linear Programming pada Perusahaan MRO
Maintenance, Repair, and Overhaul (MRO) companies face significant challenges in completing aircraft maintenance projects on time and within budget. The existing gap lies in the optimization of planning methods integration to minimize project duration and cost. This study aims to assess the balance between time and cost in aircraft maintenance projects by showing the benefits of combining CPM, PERT, and Linear Programming. Data were obtained from the A02-CHECK activity at a national MRO company. CPM and PERT were used to find the critical path and estimate project duration, while LP was used to optimize time and cost on that path. The project duration decreased from 6,199 to 4,547 minutes, with the critical path in activities A-C-E-G-H and an 84.13% success probability. Using LP, the duration dropped further to 4,090 minutes at a total cost of $202. It can be concluded that the integration of these three methods is effective in accelerating projects without exceeding the budget. The main contribution of this research is the development of an integrated approach to aircraft maintenance project planning which can capable of reducing the risk of delays and budget overruns. in addition, it also provides practical solutions for MRO companies
Copyright (c) 2026 Riani Nurdin, Uyuunul Mauidzoh, Nurfi Ahmadi https://creativecommons.org/licenses/by-sa/4.0
Kajian Literatur Pengembangan Biogas dari Fermentasi Anaerob di Indonesia (2016-2024)
The production of biogas through anaerobic fermentation in Indonesia faces various technical, socio-economic, and policy-related challenges that hinder its efficiency and application as a sustainable energy source. This research aims to analyze the state of biogas production in Indonesia from 2016 to 2024, with focus on the technical, socio-economic aspect, and government policies that influence it. The study uses the Systematic Literature Review (SLR) method, utilizing Google Scholar to collect relevant articles. A total of 130 articles were selected based on inclusion and exclusion criteria, ensuring the relevance and consistency of the analyzed data. The finding in the study show that optimal conditions for technical aspect such as substrat use, maintaining a constant temperature of 350C, and pH 7 signifinacntly increase biogas production. This analysis also examines the importance of government incentives and public awareness in promoting the adoption of biogas. The study concludes that collaborative effort in optimizing technology, rising public awareness, and implementing supportive policies are crucial for biogas to play an importance role in Indonesia energy mix, ultimately contributing to sustainable renewable energy solutions. This study contributes to the existing body of knowledge by providing insights into the interactions between technology, socio-economic factors, and policy frameworks in biogas production, as well as offering a foundation for future research and its application in renewable energy.
Copyright (c) 2025 Abdul Wahid Nuruddin , Anggia Kalista https://creativecommons.org/licenses/by-sa/4.0
Perancangan Ulang Tata Letak Gudang Bahan Baku Menggunakan Metode Class-Based Storage dan Integrasi RFID-WMS di PT. XYZ
Warehouse layout has a crucial role in supporting material flow efficiency and operational cost control in internal logistics activities. The purpose of this research is to redesign the layout of raw material warehouses using the data-based CBS method , as well as integrate it with a WMS system based on RFID technology, in order to improve operational efficiency, stock management accuracy, and support sustainability and productivity in the food industry. The method in this study uses a Class-Based Storage (CBS) approach integrated with a Warehouse Management System (WMS) based on RFID technology. The results showed that the 5th alternative layout provided the best performance with an Adjacency Score of 0.39 and was able to reduce the total daily displacement distance from 1,091.5 meters to 656 meters (a decrease of 39.9%). This efficiency has an impact on reducing daily material handling costs of IDR 2,146,915 (44.16%). The additional area of 1,110 m² is used for strategic zone arrangement such as loading docks, raw materials, and production preparation areas. The integration of the RFID system with the Warehouse Management System (WMS) also increases the accuracy of stock recording from 74.35% to 89.17%. These findings show that the use of spatial data, activity analysis, and integrated technology can improve logistics efficiency and support the smooth operation of warehouses.
Copyright (c) 2025 Aji Jumiono, Ratih Anggraeni https://creativecommons.org/licenses/by-sa/4.0
Perencanaan Mitigasi Risiko Berbasis Event Tree Analysis untuk Meningkatkan Keandalan PLTGU
Repeated failures of critical equipment at power generation facilities can significantly disrupt operations and reduce system availability. In 2023, PT X's Block 1 Unit A Combined Cycle Power Plant recorded its lowest Equivalent Availability Factor (EAF) of 84.95% due to repeated failures of several critical components. Previous studies have identified these equipment failures and analyzed their reliability levels. This study aims to develop mitigation scenarios to reduce operational risks using Event Tree Analysis (ETA). ETA uses failure probabilities from previous reliability assessments as initiating events to model potential event sequences and evaluate their consequences. The results show that each tool generates between 4 and 16 scenario pathways, depending on the number of mitigation programs. All proposed mitigation scenarios successfully reduced the overall risk level to “Low” across all seven critical pieces of equipment. This study concludes that ETA provides an effective way to systematically organize mitigation efforts based on failure probability and consequence analysis. The contribution of this study is the development of a scenario-based mitigation framework using ETA to support decision-making and enhance operational reliability at combined-cycle power plants.
Copyright (c) 2026 Sastya Adzani Syahbania, I Ketut Gunarta https://creativecommons.org/licenses/by-sa/4.0
Analisis Kebutuhan Reagen Kimia Klinik Dan Pengelolaan Safety Stock Menggunakan Time Series Di RSUD Siti Fatimah
Clinical chemistry reagents are important components in supporting the smooth running of medical laboratory examinations. Timely availability of these reagents significantly affects the speed and accuracy of diagnoses. Meanwhile, at Siti Fatimah Hospital, reagent management faces challenges due to fluctuations in demand and delays in procurement, potentially hindering services and leading to patient referrals to external facilities. For this reason, a more accurate planning strategy is needed. One of them is through the application of the Production and Operations Management (POM) principle, which can increase efficiency in managing Safety stock based on historical data. This study aims to develop a forecasting model for the need for Creatinine, blood urea, and alkaline phosphatase reagents. Then, design an optimal Safety stock plan to anticipate demand uncertainty.This study uses a quantitative descriptive method. Data were collected through observation, interviews, and documentation. Data were processed using QM for Windows software to obtain time series forecasting results and Safety stock calculations. The results of the analysis showed that the linear trend method was the best forecasting method for the need for Creatinine and blood urea reagents. For alkaline phosphatase, the best method is Exponential Smoothing With Trend. Then, in the calculation of Safety stock, the assumption of a service level of 95% produces reserves of 99.56 mL for Creatinine, 87.85 mL for blood urea, and 3.80 mL for alkaline phosphatase. This method proves effective in ensuring optimal reagent availability and minimizing stockout risks.
Copyright (c) 2025 Nisrina Ulfah, Winny Andalia, Hermanto MZ https://creativecommons.org/licenses/by-sa/4.0
Optimalisasi Preventive Maintenance Ground Power Unit pada Perawatan Pesawat Udara di PT. IAA AMO Menggunakan Metode FMEA
High operational costs and downtime risks can affect industry efficiency making equipment maintenance optimization an urgent need. PT. IAA AMO, as a manufacturing industry in the field of aircraft maintenance, faces significant challenges with the low reliability of Ground Power Unit (GPU) engines which only reaches 86%. This has led to an increase in the company's operating costs. The purpose of this study is to optimize Preventive maintenance on the Ground Power Unit (GPU) in aircraft maintenance at PT. IAA AMO using the Failure Mode and Effect Analysis (FMEA) method. The results show that the MTTF of the GPU is 311 hours, while the MTBF is 373 hours. To prevent sudden breakdowns, preventive maintenance is recommended every 311 hours for non-repairable components and 373 hours for repairable components. This research offers a more effective maintenance strategy to improve GPU reliability and lower operational costs. This research results in more effective maintenance planning, which not only minimizes downtime and operational costs, but also improves the overall reliability of the GPU machine. With the implementation of FMEA methods and the right preventive maintenance strategy, companies can anticipate breakdowns early, extend engine life, and ensure smooth operations in support of aircraft maintenance.
Copyright (c) 2024 http://creativecommons.org/licenses/by-nc-nd/4.0
Pengembangan Alat Penggorengan Modern Berbasis QFD dan Analisis SWOT untuk Meningkatkan Efisiensi dan Keamanan Pengguna
The rapid development of the food industry along with the increasing mobility of the community drives the demand for more sophisticated, hygienic, and efficient kitchen utensils. However, frying utensils that are still often used have weaknesses, such as uneven heat distribution and less than optimal residue filtration. This can reduce product quality and production efficiency, so improvements are needed to maintain product consistency and quality. This research aims to redesign the frying device. The SWOT method in this study helps to identify weaknesses and opportunities for improvement in traditional frying utensils and the Quality Function Deployment (QFD) method is used to identify user needs. The results of the study show that the development of this new frying device has proven to be more efficient compared to traditional convex pans, especially in a more even distribution of heat. With the addition of thermostat features, kitchen timer, gas detector, and waste filtration system. These innovations not only improve efficiency and convenience, but also provide additional protection for user safety.
Analisis Kelayakan Finansial dan Prospek Pertumbuhan Usaha Pengolahan Rumput Laut di Desa Jang
Jang Village, located in Moro District, Karimun Regency, has abundant seaweed resources utilized for various products, including collagen drinks. This study aims to analyze the financial feasibility of seaweed processing using parameters such as Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Break Even Point (BEP). The analysis results indicate that the BEP is 1.236 units, with a BEP in Rupiah of Rp6.946,00, an NPV of Rp195.869.079,29, an IRR of 21%, and a PP of 4.4 months. Based on the evaluation of financial and non-financial aspects, the seaweed processing business run by CV. Moro's Pure Marine Collagen is considered feasible and profitable. The findings of this study are used to develop long-term business strategies, including global market expansion supported by digital marketing and product diversification such as sports supplements and skincare products. Competitive advantage is enhanced through product certification and continuous research. Business sustainability is achieved by implementing environmentally friendly practices and empowering coastal communities, which is expected to support local economic growth and maintain the sustainability of natural resources.
Prediksi Waktu Kerusakan Mesin Batching plant Menggunakan Metode Support Vector Machine untuk Meningkatkan Efisiensi Operasional
The increasing need for productivity and the use of high technology in the form of machines increases the need for maintenance functions. At PT. XYZ, which produces ready mix concrete , has problems with the production machine with excess machine load. This results in downtime and delays in the production process, resulting in a decrease in machine operational productivity. The purpose of this study is to predict the time of damage to the engine, so that it can determine the right engine maintenance schedule periodically. In this research, the method used is Support Vector Machine which is implemented to python. This prediction is carried out to improve the efficiency and performance of the machine by predicting damage or failure that may occur in the future. Where this SVM can accurately predict breakdowns and proactively optimize maintenance schedules at the right time. This allows companies to improve efficiency in their operational systems, extend the life of machines, and reduce maintenance costs.
Pengelolaan Sumber Daya pada UMKM ADK Terbang Menggunakan Metode American Productivity Center untuk Meningkatkan Produktivitas dan Profitabilitas
Productivity is the key for business actors to compete in a highly competitive market. Productivity is closely related to the effectiveness and efficiency of using resources in producing output. This research focuses on Flying ADK MSMEs, which shows a significant increase in production in three periods (May 2023 – March 2024). Production achievement that continues to approach the set targets shows great potential for growth, but requires further strategic interventions to improve efficiency and competitiveness. The purpose of the study is to analyze the level of productivity, profitability, and price improvement factors in ADK Fly MSMEs and provide recommendations for improvement. The method used is the American Productivity Center (APC), to measure productivity, profitability, and price improvement factors through optimizing the use of resources such as labor, raw materials, energy, and capital. The measurement results showed an increase in productivity of 1.4% in the second period and 0.4% in the third period. Profitability also increased by 1.4% and 0.4% in the same period. The price improvement index increased every year, reaching 0.97% in the second period and 0.93% in the third period, which had a positive impact on the company's productivity and profitability. This increase was analyzed in detail using a fishbone diagram. The results of this study provide recommendations that can be used by business actors to optimize resources and improve operational efficiency.
Optimalisasi Tenaga Kerja Menggunakan Time and Motion Study untuk Meningkatkan Efisiensi Operasional Departemen Finishing Uncoated
Optimizing the number of workers is an important factor in improving the company's operational efficiency by ensuring that each worker has an appropriate role and workload. This research aims to optimize the number of workers in a manufacturing company that produces processed paper in Karawang Regency. This study uses the time and motion study method to measure labor needs precisely. Initially, the number of workers in the uncoated finishing department was 14 people. Through the measurement of time and motion study, the ideal number of workers needed was obtained as many as 11 people. There was a difference of as many as 3 workers between the initial number and the measurement results. This result allows the company to optimize the number of workers according to operational needs. The benefits of this optimization include increased operational efficiency and labor cost savings, which can ultimately improve the company's profitability, competitiveness, and performance.
Tantangan Investasi dan Teknologi dalam Transformasi Kawasan Industri Tradisional Menuju Eco-Smart
The transformation of traditional industrial areas into eco-smart zones has become a strategic solution for reducing environmental impacts while improving operational efficiency. This study aims to analyze investment and technology challenges in the transformation of traditional industrial estates towards eco-smart industrial estates, as well as evaluate their impact on the company's environmental, economic, and social sustainability. The research employs a mixed-methods approach, integrating quantitative data analysis from the implementation of eco-smart technology across various industrial sectors with interviews involving key stakeholders. Quantitative data includes CO2 emission reductions, operational cost efficiencies, and natural resource management, while interviews explore the challenges and opportunities in technology adoption. The findings reveal that implementing eco-smart technology over four years successfully reduced CO2 emissions by 50%, achieved 40% energy cost efficiency, and generated a total operational cost saving of 26%. Additionally, the use of natural resources, such as water and energy, decreased by 20%. The main challenges identified include high initial investment and the need for collaboration among stakeholders to accelerate technology adoption. This study concludes that despite the hurdles in investment and technology implementation, transitioning to eco-smart systems offers significant environmental and economic benefits. These findings provide valuable insights for policymakers and industry players in developing sustainable industrial zones.
Copyright (c) 2025 Syafrijon, Sarwono Hardjomuljadi, Basuki Anondho https://creativecommons.org/licenses/by-sa/4.0
Pemilihan Platform Strategi Pemasaran pada Industri Manufaktur dan Jasa dengan Metode AHP
Indonesia is experiencing an economic revival marked by rising consumption of goods and services, particularly in the food industry sector, which reached 1,542,410 units (48.3%), highlighting its crucial role in the national economy. However, Micro and Small Industries (IMK) still face challenges such as limited capital, resources, and suboptimal digital marketing strategies. This study aims to determine the most effective digital marketing strategy priorities to enhance IMK competitiveness. Data were obtained from BPS (2021) and interviews with business actors in Palembang, using the K-Means clustering method for innovation segmentation and the Analytical Hierarchy Process (AHP) for strategy selection. The results show that Java Island achieved the highest innovation score (11,692), dominated by marketing and distribution (6,265) and product innovation (4,440). The KBLI 10–22 sector excelled with a score of 6,336, while ANOVA testing (Sig. = 0.000) indicated significant differences between clusters, with marketing emerging as the dominant factor (F = 116.544). The descriptive application criterion (0.413) and social media platform (0.7) were identified as the most effective strategies. This study concludes that digital innovation and interactive descriptive content play key roles in improving IMK marketing performance and contribute to strengthening regional innovation literature and technology-based digital marketing strategies.
Copyright (c) 2025 Irnanda Pratiwi, Winny Andalia, Muhammad Sandy Ghafar https://creativecommons.org/licenses/by-sa/4.0
Strategi Mitigasi Risiko Supply Chain pada Industri Pakaian melalui Analisis SWOT dan House of Risk
The clothing industry is one of the manufacturing sectors that is highly dependent on the smooth supply chain. Disruptions in the procurement, production, and distribution processes can pose various risks that have an impact on the efficiency and continuity of the company's operations. This study aims to identify the sources of risk in the supply chain of the clothing industry and formulate effective mitigation strategies. The qualitative approach was used through a case study on one of the clothing companies, with data collection techniques in the form of in-depth interviews, direct observations, and documentation studies. The analysis was carried out using the SWOT method to map internal and external factors, as well as the House of Risk (HOR) method to identify and prioritize risks and mitigation strategies. The results show that there are 17 risk events and 20 main risk agents that affect the company's supply chain. Based on the calculation of Aggregate Risk Potential (ARP) and effectiveness to hardship ratio (ETD), six priority mitigation strategies were obtained that can significantly reduce the impact of risk. The implementation of HOR-based mitigation strategies can help companies manage supply chain risks more sistematically and measurably, as well as increase competitiveness and operational sustainability amid market uncertainty.
Copyright (c) 2025 Sholihah Az-zahro', Anggia Kalista https://creativecommons.org/licenses/by-sa/4.0
Perancangan Oven Steamer dan Sistem Boiler untuk Meningkatkan Efisiensi Sterilisasi Baglog Jamur Tiram Putih
White oyster mushroom cultivation in Indonesia faces obstacles to the efficiency of the planting media sterilization process (baglog), especially for medium-scale farmers. This research aims to design a steamer oven with a capacity of 1,200 baglogs that is efficient and according to operational needs in the field. The method used is a theoretical simulation-based engineering design, including the analysis of energy needs, steam capacity, oven dimensions, and sterilization time. The oven design uses a water tube type boiler system that is integrated with the combustion chamber and equipped with a one-way steam circulation system. The simulation results showed that the sterilization process could be completed in ±4.73 hours with better fuel efficiency compared to conventional methods. These findings show significant potential in increasing the productivity and efficiency of the oyster mushroom cultivation process. However, further implementation through prototyping and field trials is required to validate the actual performance of the tool. This design is expected to be a reference for simple technology-based farming tool innovation in the agricultural sector.
Copyright (c) 2025 Agus Iwan Iswanto, Nurfa Anisa, Asih Budi Santoso https://creativecommons.org/licenses/by-sa/4.0
Integrasi Metode OMAX, AHP, dan HIRA dalam Evaluasi Produktivitas dan Risiko Operasional pada UMKM Tahu
Productivity is an important indicator in increasing the efficiency and competitiveness of MSMEs, especially in the tofu industry which faces the challenge of production costs and dependence on imported raw materials. This study aims to measure and increase the productivity of the Pak Budi Tofu Factory through the integration of three methods of Objective Matrix (OMAX), Analytical Hierarchy Process (AHP), and Hazard Identification and Risk Assessment (HIRA). The OMAX method is used to assess productivity based on four main ratios, AHP to determine the priority weight of causative factors, and HIRA to identify internal and external risks that affect productivity. The results show fluctuations in the productivity index during 2023, with the highest value in April (176.82%) and lowest in February (-75.69%). AHP showed raw material efficiency as the dominant factor (weight 0.428), while HIRA revealed the main risks in the form of high worker absenteeism, production machine disruptions, and dependence on imported soybeans. This study concludes that the integration of the three methods can provide a comprehensive productivity analysis and support data-driven decision-making in the MSME sector.
Copyright (c) 2025 Juli Andry, Nazaruddin, Muhammad Nur, Suherman, Rika Taslim https://creativecommons.org/licenses/by-sa/4.0
Implementasi Metode Distribution Requirement Planning Pada Distributor Limbah Plastik Untuk Mengoptimalkan Biaya Distribusi
The problem of plastic waste has become a serious global issue due to its negative impact on the environment. IKM K2 Recycle is a distributor of plastic waste, with an average sales volume of 50 tons per month and an average supply of raw materials of 80 tons per month. Companies often experience buildup in warehouses due to lack of effective control and planning. The purpose of this study is to optimize distribution costs and avoid buildup in warehouses with the Distribution Requirement Planning (DRP) method. Sales data carried out by forecasting is forwarded with distribution calculations by the DRP method. The calculation results with DRP were able to reduce distribution costs by Rp. 154,318,512 from the Company's previous calculation of Rp. 193,890,000. There is a decrease in distribution costs by a percentage of 20%. Thus, the company managed to optimize distribution costs and avoid the accumulation of goods in warehouses, which is a positive step to overcome the problem of plastic waste and negative environmental impacts.
Analisis Kelayakan Diversifikasi Industri Pengemasan Minyak Goreng Sawit Merek SANTRI pada Kopontren Sidogiri
Koperasi Pondok Pesantren (Kopontren) Sidogiri Pasuruan menjadi wadah bagi para santri untuk mengembangkan potensi dalam dunia bisnis. PT. Sidogiri Mandiri Utama sebagai salah satu badan usaha milik Kopontren Sidogiri yang perlu diperkokoh dengan adanya diversifikasi melalui pendirian industri pengemasan minyak goreng sawit. Penelitian ini bertujuan untuk mengetahui proyeksi kelayakan industri pengemasan minyak goreng sawit. Analisa kuantitatif penelitian ini menggunakan variabel terukur yakni RC Ratio dengan data yang diperoleh melalui survey dan data yang sudah tersedia dari berbagai sumber. RC Ratio diasumsikan mampu memproyeksikan suatu industri layak untuk dioperasikan lebih lanjut. Analisis kuantitatif sebagai teknik yang memanfaatkan hasil wawancara dan data di lapangan, diperlukan keilmuan decision-making dalam memilih metode yang akan diterapkan. Pelaksanaan metode digunakan RC Ratio dengan ketersediaan data total penerimaan dan total biaya dala suatu bisnis usaha. Pada penelitian ini dapat diketahui pendapatan usaha pengemasan minyak goreng sawit yang dilakukan PT. Sidogiri Mandiri Utama dalam satu periode (1 bulan) sebesar Rp. 574.800.000. Usaha pengemasan minyak goreng sawit yang dilakukan oleh PT. Sidogiri Mandiri Utama adalah layak secara finansial, dengan nilai R/C sebesar 1,05.
Penentuan Lokasi Optimal Cabang Bisnis Kursus EEC Pematang Siantar Menggunakan Metode Analytical Hierarchy Process
Business opportunities are increasing, determining strategic locations as a way to optimize profits. One of them, of course, is that EEC Siantar needs to expand, choose an optimal new location based on the criteria: rental price, capacity, distance to school, competitors, accessibility, distance to the pemilik's house, and population density. This study is to determine the optimal branch location of EEC with AHP. This study uses AHP to select optimal EEC Pematang Siantar course branch locations using pair comparison and priority criteria. The optimal location is selected based on the highest priority value and logistical consistency (CR < 0.1). Ease of accessibility has the highest weight (0.379), followed by buildings (0.379), closest distance to school (0.272), competitors (0.179), distance to homepemiliks (0.085), and population density (0.052). Ease of accessibility is an important factor in determining the location of a new branch. Alternative 3 has the highest final weight (0.413), ahead of Alternative 1 (0.303) and Alternative 2 (0.284). This shows that Alternative 3 has the most optimal combination of subcriteria for new branch locations. This study helps the EEC industrial course select the best new branch locations with the AHP method, increasing the market and profits.
Analisa Postur Kerja untuk Mengukur Risiko Cedera Dengan Metode Cornell Musculoskeletal Discomfort Questionnaires, Rapid Upper Limb Assessment dan Rapid Entire Body Assessment
PT. XYZ is a company that focuses on providing construction materials such as ready mix concrete. The workforce is currently in decline due to the reduced prevalence of work behavior. The initial 1 hour produced 100m3 but the realization in the Company only produced 50m3. The purpose of this study was to measure the potential risk of musculoskeletal injury caused by non-ergonomic work postures. The methods used in this study are Cornell Musculoskeletal Discomfort Questionnaires (CMDQ), Rapid Upper Limb Assessment (RULA), Rapid Entire Body Assessment (REBA). This study found a significant relationship between the level of musculoskeletal discomfort obtained in respondents through CMDQ with ergonomic risk factors identified through RULA and REBA analysis. These can include poor body position, repetitive movements, or excessive workload. These findings could help in the development of theories regarding ergonomics and factors related to worker health and well-being.
Perbandingan Pendekatan Metode Peramalan Naive Approach, Simple Moving Average dan Weighted Moving Average dalam Upaya Meningkatkan Prediksi Penjualan JNE Kopma UNY
JNE Kopma UNY's logistics demand increases 2% per week, the manual courier allocation system is unable to keep up, predictions are accurate and real-time is needed. However, there is no exact accuracy for this case. The study was conducted to determine the accuracy of the smallest Mean Percentage Error (MPE) at JNE Kopma UNY by observing sales data for 2022 to predict demand. The data was analyzed using the Naive Approach, SMA and WMA methods, then measured using the MPE to determine the best forecasting method. The software used is Microsoft Excel 2016. The 3 Month (SMA) produces the highest sales prediction (Rp. 38,668,850) for January 2023 compared to Naive Approach (Rp. 35,086,330) and 3 Month WMA (Rp. 37,993,380). 3 Month SMA is proven to be superior with the lowest MPE (12.07%) and consistent performance. Naive Approach is inaccurate (MPE 20.26%) and 3 Month WMA performance is unstable (MPE 14.27%). This research recommends 3 Month SMA for JNE Kopma UNY to increase the accuracy of sales predictions and optimize stock. Opportunities for further research are open regarding the application of 3 Month SMA in various contexts.
Meningkatkan Ketahanan Korosi dan Daya Rekat Menggunakan Powder coating dan Cat Liquid pada Proses Coating Lapisan Logam
Industrial applications widely employ powder coating to shield products from corrosion. Effective anti-corrosion coatings enhance customer satisfaction, open new markets, and withstand temperature, abrasion, and chemicals. However, powder coating and liquid paint remain options to mitigate metal damage. Corrosion behavior of coated materials exposed to strong acids was investigated to understand the influence of liquid/powder coatings and HCl/H2SO4. This study evaluated the corrosion resistance of A0-BS3 metal specimens coated with powder (AC1-AS3) and liquid (BC1-BS3) coatings against HCl and H2SO4 solutions for 7 days. Corrosion rates were calculated and compared, and surface damage was analyzed. Corrosion occurred in all materials in HCl and H2SO4. H2SO4 exhibited 25 times faster corrosion, and coatings were ineffective. Powder coating outperformed liquid paint. Acid rain can damage liquid paint. Powder coating is the preferred choice. Ongoing research aims to enhance steel corrosion resistance, compare coatings, and assess long-term effects. This study contributes significantly to combating corrosion and developing more effective and environmentally friendly anti-corrosion solutions.