Tibuana : Journal of Applied Industrial Engineering
Tibuana : Journal of Applied Industrial Engineering is national scientific journals that are open to seeking innovation, creativity, and novelty. Tibuana : Journal of Applied Industrial Engineering is a peer-review journal published by the Universitas PGRI Adi Buana Surabaya. The aim of the journal is to facilitate scientific publication of the results of researches in Indonesia and participate to boost the quality and quantity of research for academics and researchers. Tibuana : Journal of Applied Industrial Engineering published in January, and July by publishing research results and critical analysis studies in the field of applied industrial engineering.
Applied Lean Warehousing-Based Optimization of Warehouse Processes at PT. XYZUsing Value Stream Mapping
Incoming warehouse operations are essential for maintaining material readiness in manufacturing systems. In practice, inefficiencies within these operations may increase lead time and generate activities that do not contribute to value creation. This study focuses on enhancing the performance of the incoming warehouse process at PT. XYZ through the application of lean warehousing supported by Value Stream Mapping (VSM). The study was carried out by examining the actual condition of receiving, recording, and storage activities using direct observation, time measurement, and process mapping. All identified activities were categorized according to their contribution to value creation. Process performance was assessed using Process Cycle Efficiency (PCE) to quantify the ratio of value-added time to total lead time. The results indicate that the existing incoming warehouse process required 296 minutes to complete, with a PCE of 74.66%, reflecting the presence of non-value-added activities, particularly related to waiting and unnecessary movement. Improvement actions were then formulated using future state value stream mapping and workplace organization. The proposed future condition reduced the total lead time to 273 minutes and increased the PCE to 80.95%. These findings show that lean warehousing implementation can effectively improve process efficiency by reducing non-value-added activities in incoming warehouse operations. The study provides practical insight for manufacturing companies seeking to improve inbound warehouse performance through structured waste reduction initiatives.
Lean warehousing; Value stream mapping; Incoming warehouse; Process cycle efficiency; Lead time minimization
Copyright (c) 2026 Tibuana : Journal of Applied Industrial Engineering https://creativecommons.org/licenses/by-sa/4.0
Design and Build Household Electrical Power Limiters Based on Priority Lines for Electricity Usage with Arduino Microcontroller Based
To realize energy savings, especially electrical energy on a household scale, one thing that is usually done is turning off unnecessary equipment. However, this kind of conventional method requires high discipline and the success rate is quite low due to many factors, one of which is forgetting. One solution that can be applied to this problem is the need for tools that can force electricity users to turn off electricity if usage has exceeded a certain limit. To be able to measure electricity consumption, an energy measuring sensor is used which is then processed on the microcontroller and drives the circuit breaker relay. In making this tool using the experimental method, by planning based on references from the literature and experiments directly to the equipment. With this, it is hoped that the expected tools will be realized and can contribute to saving energy in the community.
KWh Sensor, Arduino Nano, Electrical Power Meter
Optimizing Vehicle Routing with Soft Time Windows Using a Hybrid Genetic Algorithm
Determining delivery routes that minimize total cost is a key issue in goods distribution. This study focuses on a bottled drinking water (AMDK) company in City X that distributes its products to multiple retail outlets with different service time requirements. Such conditions fall within the scope of the Vehicle Routing Problem with Time Windows (VRPTW). In this study, a soft time windows approach is adopted, allowing vehicles to serve retailers beyond their specified time limits at the expense of penalty costs. The main objective is to identify optimal delivery routes under the soft time windows policy while minimizing total cost. The results demonstrate that the Hybrid Genetic Algorithm outperforms the initial solution in terms of total cost reduction. The initial routes are generated using the Nearest Insertion Heuristic and subsequently refined through mutation processes within the genetic algorithm framework.
Distribution Routing Optimization; VRPTW; Nearest Insertion Heuristic; Hybrid Genetic Algorithm; Soft Time Windows; Total cost minimization.
Optimizing Charter Scheme Selection for Coal Transport Vessels Through Capital Budgeting Indicators
Coal distribution via maritime transport is essential to meeting Indonesia’s national energy demands, creating business opportunities for bulk carrier operators and prompting a financial feasibility study on four investment schemes at a Surabaya-based shipping company: MV. Alpha (owned vessel) and MV. Beta (chartered vessel), each under Voyage Charter and Time Charter contracts. The assessment employs capital budgeting methods—Payback Period (PP), Net Present Value (NPV), and Benefit-Cost Ratio (BCR). Results show that all schemes are financially feasible. MV. Alpha–Voyage Charter records a PP of 4.6 months, NPV of Rp 41.1 billion, and BCR of 1.15, while Time Charter results in PP 7.4 months, NPV Rp 16.5 billion, and BCR 1.11. MV. Beta–Voyage Charter has a PP of 12.1 months, NPV Rp 15.3 billion, and BCR 1.03; whereas Time Charter achieves PP 5.3 months, NPV Rp 44.4 billion, and BCR 1.09. Incremental analysis reveals that MV. Alpha–Voyage Charter yields an incremental benefit of Rp 147.8 billion over Time Charter with an additional cost of Rp 123.2 billion, resulting in an incremental BCR of 1.20. For MV. Beta, Voyage Charter incurs Rp 29 billion in extra costs without added benefits, producing an incremental BCR of 0, making Time Charter the more efficient option.
Investment Feasibility, Bulk Carrier Operations
Productivity Improvement Knuckle Steering Production Line through the Objective Matrix (OMAX) Method
In the face of market dynamics and increasing demand, the company needs to optimise productivity in every production line, including the knuckle steering item line. This study aims to measure and evaluate productivity using the Objective Matrix (OMAX) method, which integrates several key performance ratios. The analysis results showed that the highest productivity occurred in March 2024 (517.2), while the lowest was in September 2024 (23.6). The lowest ratio was production achievement to machine capacity, contributing only 27 out of a total score of 131. The low productivity is due to the lack of operator competence, suboptimal machine maintenance, long process duration, and the high amount of defective material from the foundry process. These findings emphasise the importance of comprehensive improvements in human resources, machine maintenance, and raw material quality control to drive sustainable productivity improvements.
Operational Readiness Improvement in Make-to-Order Carton Packaging Systems: An Applied Industrial Engineering Study
Make-to-order manufacturing systems are highly dependent on operational readiness to ensure that available production time is effectively converted into output. In practice, many production facilities experience idle production days, where scheduled production time is available but no output is realized, leading to inefficiencies that are not fully captured by machine-based performance indicators alone. This study aims to analyze operational readiness in a carton packaging production system by examining the relationship between available production time, execution readiness, and output realization. A quantitative case study approach was applied using daily operational data from a carton packaging workshop, including planned production time, downtime, output records, and production execution status. The analysis differentiates between active production days and idle production days to identify readiness-related gaps affecting production utilization. The results show that high machine availability does not necessarily guarantee effective production execution, as a significant proportion of available production time remains unutilized due to readiness issues related to scheduling, material availability, and setup preparedness. This study provides applied insights into operational readiness improvement and offers practical recommendations to enhance production time utilization in make-to-order manufacturing environments. Key Words : applied industrial engineering; operational readiness; make-to-order manufacturing; production execution; carton packaging
Holistic Effects of Supply Chain Digitalization on the Sustainability of Food MSMEs: Evidence from a PLS-SEM Hierarchical Model in Padang
This study examines the effect of supply chain digitalization on the sustainability of food micro, small, and medium enterprises (MSMEs) in Padang, Indonesia. Sustainability is conceptualized as an integrated construct comprising economic, social, and environmental dimensions. A quantitative research design was employed using survey data collected from 50 food MSMEs, which were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 3.0. The results show that supply chain digitalization has a significant positive effect on sustainability when assessed holistically, whereas its direct effects on the economic, social, and environmental dimensions individually are not statistically significant. These findings indicate that the contribution of digitalization to MSME sustainability is realized through an integrated mechanism rather than through isolated sustainability dimensions. Theoretically, this study contributes to literature by reinforcing the importance of a holistic sustainability perspective in explaining the impact of supply chain digitalization. Practically, the findings provide insights for policymakers and MSME practitioners to promote integrated digital adoption strategies that support long-term sustainable performance.
Digitalization, Supply Chain, Sustainability, PLS-SEM, MSMEs
Minimization of Defects in the Loading and Unloading Process of Gallon Water Using a Lean Manufacturing and Value Stream Mapping Approach
Logistics processes, particularly in the loading and unloading area, pose a critical challenge for the Bottled Drinking Water (AMDK) industry, as they have the potential to reduce profitability due to waste. This study aims to eliminate non-productive activities in the distribution line of PT XYZ using a Lean Manufacturing approach. By integrating Value Stream Mapping (VSM) to map process flows and the Waste Assessment Model (WAM) to weight operational issues, this study examines the company’s operational problems. The identification results indicate that defect is the most dominant form of waste, contributing 24.37% of the total waste variability, which significantly hampers distribution flow. Root Cause Analysis (RCA) highlights employee discipline and operational work instructions as the primary factors causing these defects. As a mitigation strategy, this study formulates improvement recommendations based on restructuring work instructions and strengthening employee discipline standards to reduce defect rates and accelerate service lead time.
Defect; Lean Manufacturing; Loading-Unloading; Value Stream Mapping
Application of The Analytic Hierarchy Process (AHP) in Strategic Factory Selection for Putra Madura Sejati Cigarette Company in Pamekasan
The tobacco industry in Indonesia is developing rapidly. Indonesia itself is the fifth largest tobacco producing country. Cigarettes are one of the sectors that contribute the most to excise and foreign exchange revenues for the country. With the rapid growth of the cigarette industry, producers must design good strategies to continue to compete and develop in this cigarette industry, one of which is finding a strategic factory location for consumer satisfaction. The purpose of this study is to find the best location for the PR Putra Madura Sejati cigarette factory based on the criteria of accessibility, environment, workforce, market, and traffic. And the alternative locations that will be selected in this research are located in Pamekasan district, namely on Blumbungan Street, Bangunran Street, Larangan Street, and Pademawu Street. The method used this time is the Analytical Hierarchy Process (AHP). Based on the results of the pairwise comparison between the criteria, this time it shows that the accessibility criterion has a value of 0.09, the environment has a value of 0.23, the workforce has a value of 0.47, the market has a value of 0.05, and traffic has a value of 0.16. then the results of the pairwise comparison between the accessibility criteria with all alternatives obtained the nyalaran road alternative has the highest value with 0.59, environmental criteria with the alternative namely nyalaran road highest with 0.53, workforce criteria with the alternative namely blumbungan road highest with 0.49, market criteria with the alternative namely pademawu road with 0.49, and traffic criteria with the alternative namely nyalaran road with 0.52. The final result of the pairwise comparison between all alternatives and all criteria shows that Jalan nyalaran is the best location to be selected with a value of 41.6. The author advises PR Putra Madura Sejati to continue implementing strategies by getting closer to the market and selecting skilled workers so that the quality of the cigarettes created will be better and can provide satisfaction to consumers.
AHP, Customer Satisfaction, cigarette factory, location selection
Mental Workload Analysis of Student Members of the Mosque Management Committee at Campus X Using NASA-TLX
Students who serve as administrators of campus mosques often face dual responsibilities: fulfilling academic obligations while simultaneously managing various religious activities on campus. Balancing these roles can lead to a considerable mental workload. This study aims to assess the level of mental burden experienced by students actively involved as campus mosque administrators. The research was conducted at a university mosque located in Yogyakarta. Mental workload was measured using the NASA-TLX instrument, which evaluates six key dimensions of cognitive load. Findings revealed an average mental workload score of 71.14, categorized as high. A total of 80% of participants reported experiencing high to very high levels of mental stress. The most prominent contributing dimensions were mental demand, effort, and perceived performance. These results highlight the need for effective workload management strategies, including equitable task distribution, engagement of external volunteers, stress and time management training, and promoting awareness of the importance of balancing academic and organizational commitments.
Effect of 3D Printing Parameters on Dimensional Accuracy Using the Taguchi and Response Surface Methodology (RSM)
Advances in technology in the manufacturing industry have driven the use of 3D printing as a fast and efficient prototyping solution. This study aims to optimize the process parameters of FDM 3D printing using PLA+ material with ASTM D-638-04 type specimens. The process parameters tested include printing speed, nozzle temperature, layer thickness, infill rate, and bed temperature, each at three levels. Optimization was performed using the Taguchi method and Response Surface Methodology (RSM), with a focus on dimensional accuracy (length, width, and thickness) as the primary response. The optimal parameters obtained from the Taguchi method are printing speed of 45 mm/s, nozzle temperature of 240°C, layer thickness of 0.30 mm, infill rate of 100%, and bed temperature of 55°C. Meanwhile, the RSM method yielded the following optimal parameters printing speed of 50 mm/s, nozzle temperature of 240°C, layer thickness of 0.30 mm, infill rate of 100%, and bed temperature of 60.65°C
Copyright (c) 2025 Tibuana https://creativecommons.org/licenses/by-sa/4.0
Community Perceptions and Preference on The Condition of Temu Traditional Market Facilities and Infrastructure
The market is a palce where producers and consumers meet to interact in buying and selling daily necessities. This interaction activity certainly requires adequate support for facilities and infrastructure. The traditional market of Temu Market located in Sidoarjo Regency is managed by the government with an operational system by the Sidoarjo Regency Market Service. The purpose of this study was to determine the condition of the facilities and infrastructure of the Temu Traditional Market, to determine the perception and preferences of the community towards the facilities and infrastructure of the traditional market and the development strategy of the temu Traditional market based on community perseptions and preferences. The data analysis method used is the analysis of interest performance analysis (IPA). The results of the analysis of the condition of the facilities and infrastructure of the temu Traditional market, out of 13 indicators there are 10 facilities and infrastructure that are appropriate, namely Shops, kiosks, stalls, parking areas, loading and unloading areas, management offices, toilets, places of worship, drainage, trash cans, road access and clean water. The results of the analysis of community perceptions and preferences regarding the Temu Market are the main priorities that need attention are the security post and waste management. The performance that needs to be maintained because it has received good appreciation from the community is the toilet/bathroom, loading and unloading area, management office and place of worship.
Development Value Stream Mapping to Identify 8 Types of Waste
This study proposes an Extended Value Stream Mapping (Extended VSM) framework to address the limitations of traditional VSM in identifying all eight types of waste (Muda), particularly those associated with human factors, environmental conditions, and material movement. While conventional VSM effectively maps value-added and non-value-added activities, it often fails to detect motion waste, transportation inefficiencies, and underutilized human potential. The proposed framework integrates time measurement using Stopwatch Time Study (STS), workflow analysis through the Flow Process Chart (FPC), ergonomic risk evaluation with the Rapid Entire Body Assessment (REBA), mental workload assessment via NASA Task Load Index (NASA-TLX), and environmental condition indicators such as lighting, temperature, and noise. Designed for labor-intensive production systems, Extended VSM offers a multidimensional mapping tool capable of supporting continuous improvement initiatives. Although this research does not include a real-case implementation, the framework is designed to be practically applicable and empirically validated in future studies.
Development of a Framework for Lean Education Implementation in Vocational High Schools
Lean, which aims to eliminate waste, has been applied to manufacturing and non-manufacturing operations. Some studies reported lean applications improving operations in universities and high schools. This study aims to develop a framework for implementing Lean Education for vocational high schools (SMK). This research is motivated by various forms of waste in SMK operations, such as long waiting times. Combination of an exploratory qualitative approach, literature review and expert validation are utilized to construct a context-specific framework. The proposed framework consists of three main stages: pre-implementation, implementation, and post-implementation, each comprising key activities such as waste identification, staff training, process mapping, lean strategy execution, and continuous improvement. This framework is expected to support SMK in minimizing waste and aligning vocational education more closely with industry needs, thereby enhancing the quality of its graduates.
Implementation of Age Replacement Method for Molding Machine Maintenance at PT. KMI
The rapid development of the industrial world has caused the manufacturing industry to think hard to survive the fierce competition. PT. KMI is a company engaged in industrial furniture, oriented to the best quality in its products and supported by sophisticated technology in the production process. The problem that occurs is unexpected machine damage causing the production process to stop. The way to overcome this is to schedule the replacement of components that are susceptible to damage, especially sensors, bearings and roller trans. Determination of critical components using the ABC method and the age replacement method. The selection of damage distribution, at this stage is based on the goodness of fit value. One way to increase productivity is to schedule the replacement of components that are susceptible to damage, especially sensors, bearings and roller trans. The recommended replacement time is 128 days for sensors with a cost reduction of IDR 1.848.097 for replacement of sensor components, 261 days for bearing components with a cost reduction of IDR 1.301.553 and 251 days for roller trans components with a cost reduction of IDR 1.646.870. by using the ABC method, 3 critical components can be found, namely sensors and bearings with a percentage value of 42.80% for sensors, 20.95% for bearings, and 14.03% for Roller trans. The most optimal time interval for the three components is the sensor component 128 days with downtime cost savings of IDR 1.848.097. The bearing component 261 days with downtime cost savings of IDR 1.301.553. The roller trans component 251 days with downtime cost savings of IDR 1.646.870.
Normal time, Standard time, cycle time, Production process.
Occupational Health and Safety Risk Assessment Application in Oil Refinery Using Hazard Identification, Risk Assessment and Risk Control (HIRARC)
This research aims to evaluate occupational safety and health (OHS) risks in the oil refinery unit of PT XYZ using the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) method. This method involves three main stages: hazard identification, risk assessment, and risk control. The research was conducted descriptively qualitatively through field observations, interviews, and the use of the HIRARC checklist. The identification results show that several work areas, such as the evaporator, separator, and stabilizer, have a Very High risk level due to extreme pressure and temperature, gas leakage, and the potential for explosion and fire. The risk assessment was conducted by considering the likelihood and consequence of each hazard. The risk control strategies analyzed include technical, administrative, and the use of personal protective equipment (PPE). However, most controls are still dominated by administrative approaches, while technical controls such as gas detection systems and shutdown automation have not been implemented optimally. The implementation of HIRARC has proven to be effective in systematically identifying and controlling risks, and contributing to a safer, healthier, and more productive work environment in the oil and gas industry.
Accident Risk, HIRARC, Occupational Safety, Refinery Unit
Application of the Analytic Hierarchy Process (AHP) in Strategic Site Selection for Software Development Branch Expansion in Indonesia
In an era where digital transformation dictates the survival of technology firms, selecting the optimal branch location is no longer a peripheral decision it is a strategic imperative. This study offers a powerful yet practical application of the Analytic Hierarchy Process (AHP) to evaluate potential expansion sites for a mid-sized software development company in Indonesia. By integrating expert judgments with location-specific criteria such as talent availability, infrastructure reliability, ecosystem proximity, and cost efficiency, the AHP model provides a structured, transparent, and replicable framework for decision-making. The results clearly identify Location A—an urban tech hub near major IT universities as the most strategic choice, significantly outperforming other alternatives. More than just a location ranking, this model demonstrates how conventional decision-making in software enterprise expansion can be elevated through applied analytical thinking. The study also proves that even without high-end analytics platforms, decision models built in common tools like Excel can yield robust and scalable insights. These findings carry immediate relevance for technology firms, policy planners, and academic researchers who seek to align operational expansion with long-term innovation and productivity outcomes in knowledge-based industries.
Analytic Hierarchy Process; Branch Location; Software Industry; Strategic Decision-Making
Applying Production Capacity Planning Analysis to Enhance Operational Efficiency in the Garment Industry
Rira Clothing Convection is a business engaged in convection by producing Muslim clothes for girls. The demand to always be dynamic in adjusting to the development of fashion trends on a regular basis shows the company's awareness of the importance of adapting to the ever-changing market. The existence of these fluctuations certainly affects the production process which includes the target number of clothes that must be produced, the determination of the number and schedule for ordering raw materials, the production process time, the number of machines needed and others. The purpose of this study is to minimize the cost of raw material inventory with the Material Requirement Planning (MRP) Method and plan the optimal production capacity so that production runs effectively and efficiently with the Capacity Requirement Planning (CRP) Method. The results of the study obtained that the calculation of the minimum inventory used the Material Requirement Planning (MRP) method with the Economic Order Quantity (EOQ) technique. The total inventory cost for the main raw materials is Diamond Crepe fabric with four orders of 427.5 meters/order and Rayon Stretch fabric with three orders of 745.5 meters/order of Rp 1,400,000. The optimal production capacity planning is the number of working days at the pattern making, cutting and sewing stations as many as four days in five periods and 4.5 days in one period, while in the bundling, packing and finishing stations as many as four days in six periods.
The application of Lean Manufacturing at PT XYZ Packaging Unit with the Value Stream Mapping (VSM) Approach
The challenges of manufacturing companies in facing global market competition must be able to maintain the effectiveness and efficiency of operational processes that take place, including one strategy in getting good work productivity by focusing on eliminating waste that occurs in the operational process. In the packaging process, there are 14 activities classified into 9 operation activities, 3 transportation activities, 1 inspection activity and 1 storage activity. Of all these activities are categorized as 50% value added activity with a time percentage of 62%, non-value added activity neccessary activity of 36% with a time percentage of 29%, while 14% of activities as non-value added activity with 9% percentage of time. Improvements are made by adding a transfer conveyor from raw materials to the hopper, categorizing activities outside packaging as external activities, changing the number of operators and work schedules, eliminating activities with pallet investment. The impact of the improvement is by eliminating activities from 14 activities to 12 activities.
Lean Manufacturing, Non Value Added Activity, Value Added Activity, Value Stream Mapping
Quality Control of Glass Bottle Drinking Water Products Using the Six Sigma Method
This study aims to strengthen production performance and product quality to achieve various financial and strategic goals, such as market share, competitiveness, and profitability. The problem faced by this company is in product quality control where there are still defective products that arise during the production process. Therefore, this study uses Six Sigma with the concept of Difine Measure Analysis Improve Control (DMAIC) as a step to optimize production procedures at UD. NUSAQU whose product is bottled drinking water. The focus of this study is visual of product defects in the form of cups which are divided into two, namely Grade A and Grade B, which are distinguished based on the plastic cup material used. The results of data testing show that in Grade A and Grade B, slanted lid damage has the highest level of damage, but in Grade B the results are the same as leaking cups. The DPMO value produced in Grade A is 62,633.914, while in Grade B it is 130,961.47. The smaller the DPMO value, the better the product quality. The average value of Six-Sigma for Grade A is 3.03, while Grade B is 2.63. Based on these values, it can be concluded that Grade A has better quality than Grade B, but both require improvement and enhancement efforts to achieve 6 sigma.
Determining Key Performance Indicators at PT Cahaya Utama Branch Sidoarjo using Integrated Performance Measurement System (IPMS) and Balanced Scorecard Methods
Abstrak — Penelitian ini bertujuan untuk menentukan Indikator Kinerja Utama (KPI) yang tepat untuk PT Cahaya Utama Cabang Sidoarjo menggunakan metode Integrated Performance Measurement System (IPMS) dan Balanced Scorecard (BSC). Penelitian ini menggunakan desain deskriptif, dengan mengintegrasikan data kualitatif dan kuantitatif. Kebutuhan pemangku kepentingan utama diidentifikasi, dan tujuan bisnis ditetapkan sesuai dengan itu. KPI ditentukan dan divalidasi melalui umpan balik pemangku kepentingan, analisis komparatif, dan penilaian ahli. Sistem pembobotan hierarki memprioritaskan KPI, menyoroti area penting untuk meningkatkan kinerja. Hasilnya menunjukkan keselarasan yang kuat antara kebutuhan pemangku kepentingan dan tujuan bisnis, dengan metrik kinerja yang komprehensif dan seimbang. Penelitian ini diakhiri dengan rekomendasi untuk memadukan KPI berkelanjutan, pengembangan karyawan, budaya yang fokus pada pelanggan, dan proses audit rutin untuk mempertahankan dan meningkatkan kinerja organisasi.
Application of Statistical Tests in Measuring the Influence of Product Quality and Brand Image
The purpose of this study is to investigate how brand image and product quality have an impact on the interest in buying precious metals at the Sleman Branch Pawnshop. The study found that product quality, which includes purity, authenticity, and attractive design, significantly affects consumer buying interest. The quantitative methods used include survey methods and multiple regression analysis. In addition, Pegadaian's reputation as a safe and reliable financial institution greatly influences customers' desire to buy precious metals. The results of the regression analysis show that product quality has a regression coefficient of 0.543 with a p-value < 0.001, while brand images have a regression coefficient of 0.479 with a p-value < 0.001. The synergy between brand image and product quality shows an increase in customer buying interest. These two factors influence each other's purchase decisions. The implications of this study show that, in order to maintain and increase consumer buying interest, Pegadaian must continue to maintain and improve the quality of its products and brand image. This research provides valuable insights for pawnshops on how to optimize marketing strategies and product quality management
Brand Image, Precious Metal, Product Quality, Purchase Interest
Clustering Capital and Business through the Implementation of Corporate Strategy in the Amanah Belimbing Wuluh SME Group
Abstract-Small and Medium Enterprises (SMEs) became a trend when the Indonesian economy experienced a downturn. SMEs of Amanah Belimbing Wuluh is a micro sector that is only able to produce products and is able to sell its production to cover the needs of the economic cycle. The aim of this research is to measure the feasibility of capital using the Net Present Value (NPV) concept. Measuring capital feasibility with the Average Rate of Return (ARR) concept. Looking for clustering of company strategies in business development through capital budgeting. The research sample was 30 SMEs. Data analysis using K-Means Cluster. The research results based on the feasibility of SME capital using the Net Present Value (NPV) concept produce a positive value (NPV) of IDR. 344,869,146 so it can be said to be feasible. The feasibility of SME capital with the Average Rate of Return (ARR) concept is 44.12% annually above a discount factor of 16% so it can be said to be feasible for the turnover of SMEs business capital Amanah Belimbing Wuluh Dukuh Menanggal. Cluster analysis divides two groups of company strategies. Cluster 1 contains investment strategies that have the attributes; final investment, total investment and average investment. Cluster 2 contains a capital turnover strategy that has the Average Rate of Return attribute.
SMEs Clustering, NPV, ARR, Company Strategy
The Application of Time Series Forecasting Method to Estimate National Salt Demands
Salt is one of the most important commodities for domestic use and as a raw material for industry. It is essential to make an estimate salt requirement to meet them appropriately. The purpose of the study was to estimate salt needs using the time series forecasting method and to identify the most effective technique for salt needs forecasting. Forecasting analysis uses Naive, Moving Average, Weighted Moving Average, Exponential Smoothing, Exponential Smoothing with Trend, and Trend Projection methods. Forecasting accuracy is tested using MAD, MSE, and MAPE. Based on the results, the Trend Projection is the most effective time series forecasting technique for predicting salt requirements. This method was selected due to its lowest error rate value (MAD of 0.16, MSE of 0.04, and MAPE of 4.28%) compared to other methods. According to projected estimates, the amount of salt required in 2024 would be 4.86 million tons.
Customer Loyalty Analysis on Valuation of Price, Location, Facilities, and Service Standards with the Structural Equation Modeling Method - Partial Least Squares (SEM-PLS)
Abstract - The world of business and industry, including the culinary industry, is rapidly developing in this modern era. Business owners have to compete in an increasingly tight situation. Compared to previous studies, this study is newer because it uses more variables. This quantitative study used 60 samples. SmartPLS software version 3.0 is used to perform the analysis with SEM. Outer model, inner model, mediation, and hypothesis tests are carried out. The results of the validity test show that the data is valid. The filling factor value is more than 0.7 and the AVE value is more than 0.5. In contrast, reliability tests show the reliability values of composites and Cronbach's alpha, which are also greater than 0.7 and are considered reliable. From the histothesis analysis carried out, it can be concluded that; The consumer choice variable has a significant positive impact on customer loyalty, the facility and infrastructure variable has a significant positive impact on consumer choice, the facility and infrastructure variable has a significant positive impact on customer loyalty, the business location variable has a significant positive impact on consumer choice, the business location variable has a negative impact on customer loyalty, the price assessment variable has an impact negative on consumer choice, the price assessment variable has a significant positive impact on customer loyalty, the service standard variable has a significant negative impact on customer choice and customer loyalty. These results show the importance of paying attention to these variables in business strategy.
Culinary Industry, SmartPLS, Loyalty, Consumer
Forecasting the Gold Price of LM Antam using the Double Exponential Smoothing Approach
Abstract— Antam Precious Metal (LM) gold investment is one of the investment choices favored by the public from the many investment choices available. One of the things that must be done if you want to invest in gold is to monitor the price movement of Antam Gold. This study uses the Double Method approach Exponential Smoothing with software Minitab 20. Double Method Exponential Smoothing is one of the forecasting methods used for trending data patterns . The gold price data to be forecasted is Antam Precious Metal (LM) gold produced by PT Antam Tbk. The purpose of this study is to obtain a forecast of Antam LM gold prices for the next twelve months from September 2024 to August 2025. The results of the study for the next twelve months the highest price forecast from September 2024 to August 2025 is in August 2025. The price of Antam gold in August 2025 is IDR 1,806,990 and the forecast error value (MAPE) is 2.31% or has a forecast accuracy of 97.69%.
Gold Price, LM Antam, Double Exponential Smoothing, Forecasting
Implementation of Workplace Safety in the Welding Industry: Challenges and Solutions
Keselamatan dan kesehatan kerja (K3) sangat penting bagi perusahaan untuk meminimalkan kecelakaan kerja dan risiko kesehatan. Namun, banyak karyawan di sektor pengelasan sering mengabaikan aspek-aspek ini, yang mengarah pada potensi bahaya. Penelitian ini mengkaji penerapan praktik K3 di departemen pengelasan perusahaan manufaktur besi di Surabaya dengan menggunakan metode Job Safety Analysis (JSA). Data dikumpulkan dari 35 responden melalui wawancara, observasi, dan dokumentasi insiden masa lalu. Hasilnya menyoroti bahaya umum, termasuk paparan ultraviolet yang merusak mata dan kulit, asap las yang menyebabkan masalah pernapasan, sengatan listrik yang menyebabkan cedera atau kematian, dan benturan fisik dari material tajam atau berat. Untuk mengurangi risiko ini, kepatuhan terhadap prosedur operasi standar (SOP) dan penggunaan alat pelindung diri (APD) yang lengkap sangat penting. Penelitian ini menekankan pentingnya kesadaran K3 dan kepatuhan terhadap protokol keselamatan untuk meningkatkan keselamatan dan produktivitas tempat kerja.
Iron Manufacturing, Occupational Safety and Health, Job Safety Analysis.
Implementation of Critical Chain Project Management Method on Controlling the Pipeline Project
In the implementation of construction projects, the incompatibility between plan and actual schedule that cause an additional time and cost is oftenly occurring. The Pipeline Project started in July 2022 and scheduled for completion in November 2022. However, in actuality the project finished in July 2023. Based on this case, an acceleration method needs to be implemented so that the project can be completed quickly and efficiently. One of the methods applied is Critical Chain Project Management (CCPM). Scheduling is carried out using the actual duration of the project that applied with CCPM. The actual duration of the project is 318 days. Furthermore, by using the CCPM, the duration is become 216 days. So, by using the CCPM, the project is completed 32.08% faster than the actual duration of the project. Based on the results of the analysis, by applying the CCPM method is able to make an optimal duration of the project.
Critical Chain Project Management; Duration; Scheduling
Digital Pivot Strategies for MSMEs: A Case Study of BirkinPet in the Era of Economic Uncertainty
Amid economic uncertainty, adopting digital pivot strategies has become crucial, particularly for Micro, Small, and Medium Enterprises (MSMEs) to sustain business growth. Social media marketing, as a vital component of the digital pivot, offers a platform for entrepreneurs to reach audiences more efficiently and effectively. This study aims to explore the correlation between social media metrics and the monthly revenue of MSMEs, focusing on BirkinPet, a pet harness apparel business. A multiple linear regression analysis method was employed to evaluate the relationship between the number of posts, likes, followers, shares, and engagement rate with monthly revenue. The analysis results indicate that the number of posts has a significant negative relationship with monthly revenue (β = -1.1224; p = 0.051), while likes, shares, followers, and engagement rate showed no significant relationship. These findings highlight the importance of a more focused and relevant content strategy in social media marketing to support business revenue growth. In conclusion, while social media holds substantial potential as a marketing tool, success is not entirely dependent on the quantity of activity. A data-driven strategic approach is a key factor in converting social media activities into revenue growth, warranting further exploration to identify the most effective optimization strategies.
digital pivot; social media marketing; regression analysis; MSMEs; content strategy
Electronic Supply Chain Management Model for Monitoring Plant System Performance at PT. XYZ
PT. XYZ is a company that does business in paper production, one of the revolutions in the field of network distribution based on Internet technology. E-SCM technology has many advantages such as optimizing data recording, and data distribution and facilitating remote monitoring of data systems using WAN Network Topology. Based on the results that have been analyzed, a supply chain management model is needed that can help monitor data systems using WAN network topology distribution that can be accessed by PC Server to the intended International WAN Access.
Distribution, Monitoring System, Supply Chain Management, WAN