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The development of hardware and software technology has developed rapidly in recent years. Currently, companies are still experiencing difficulties in processing data and information. Spare parts that are not available when needed can hinder maintenance and repair plans. For this reason, controlling spare parts inventory in the Asia Jaya Motor workshop company is very necessary to maintain the quality of goods. Asia Jaya Motor Workshop is a business operating in the automotive sector, where this place cannot be separated from an accurate information system. However, data management still uses manual methods, seeing the problems that occur at the Asia Jaya Motor Karawang Workshop, very high accuracy, convenience and speed are needed. The aim of this research is to obtain an effective and efficient spare parts inventory analysis so that spare parts procurement and control plans can be accurate in supporting maintenance and repair programs. The data collection techniques for this research are library research and field research. So, the total cost of spare parts inventory in the 2011-2014 period according to the Economic Order Quantity method for each spare part has increased. The total cost (total cost) of spare parts inventory according to the Economic Order Quantity method is lowest in the 2021 period and the total cost (total cost) of spare parts inventory is the highest in the 2023 period.

This study aims to compare the results of student living cost estimates over a four-year study period using two approaches in financial mathematics, namely the discrete model and the continuous model. The background of the study is based on the need for students to manage their personal finances effectively amidst rising living costs due to inflation. The discrete model is used to predict expenses at certain time intervals, while the continuous model assumes that changes in the value of money occur continuously at all times. This study uses a quantitative descriptive-comparative method with controlled simulations on 100 student data with variations in monthly living costs between Rp2,000,000–Rp4,000,000 and a random inflation rate of 0%–20%. The data were analyzed using discrete and continuous growth formulas, then a Paired Sample t-Test was performed to determine significant differences between the two models. The results show that both models produce very similar living cost estimates with an average difference of only about 1–3% of the total four-year costs. The continuous model produces slightly higher results than the discrete model due to its exponential and continuous nature of calculations. However, the statistical test results showed a p-value > 0.05, indicating no statistically significant difference between the two. Practically, both approaches can be used equally in student financial planning, with the discrete model being more appropriate for short-term projections and the continuous model being more appropriate for long-term projections.

This study aims to analyze the welding results between two commonly used methods, namely Gas Tungsten Arc Welding (GTAW) and Shielded Metal Arc Welding (SMAW), using radiographic testing methods. Welding is an important process in industry that affects the quality and strength of metal joints. In this study, we will examine the quality of welding results from both methods through radiographic testing, which serves to detect defects in welded joints. The GTAW method is known for its cleaner results and minimizes defects, while SMAW is often used because of its convenience and lower cost. The welding process is a crucial factor in ensuring the durability and performance of metal structures, and selecting the right welding method is essential for specific industrial applications. This study will compare the two methods based on the results of radiographic and tensile tests, evaluating factors such as weld strength, defect occurrence, and structural integrity. The analysis will also examine the advantages and disadvantages of each method in terms of weld quality, cost-effectiveness, and practical applications in different industries. It is hoped that the results of this study can provide deeper insights into the selection of the right welding method for industrial applications, as well as contribute to the development of welding technology. Furthermore, the findings will support improvements in quality control and provide a scientific basis for future welding practices in various manufacturing sectors.

Preoperative anxiety is common among women scheduled for cesarean section (C-section), affecting surgical outcomes, recovery, and bonding. This study investigated the effect of guided deep breathing relaxation on reducing preoperative anxiety in C-section patients. A quasi-experimental design with a pretest-posttest control group was conducted with 30 participants from [Name of Hospital]. Participants were randomly assigned to an intervention group (n = 15), which practiced deep breathing exercises 30 minutes before surgery, and a control group (n = 15) receiving standard care. Preoperative anxiety was assessed using the State-Trait Anxiety Inventory (STAI) before and after the intervention. Results showed a significant decrease in anxiety scores in the intervention group (from 45.2 ± 6.3 to 33.5 ± 5.8, p < 0.001), while the control group showed minimal change (44.8 ± 5.9 to 43.6 ± 6.1, p = 0.124). Post-intervention comparisons revealed a significant difference between groups (t = 7.21, p < 0.001). These findings indicate that guided deep breathing effectively reduces preoperative anxiety in C-section patients, suggesting it as a simple, safe, and cost-effective intervention that can improve maternal psychological well-being and surgical readiness. This non-pharmacological approach may also contribute to better postoperative outcomes.

Efficient management of patient queues is essential in healthcare systems to ensure timely care, optimize resource utilization, and enhance patient satisfaction. Mathematical programming, particularly when applied in conjunction with queuing theory and optimization models, provides a rigorous framework for analyzing and improving healthcare service delivery. This approach involves modeling arrivals and service processes, applying queuing models (such as single-server, multi-server, and priority queues), and formulating optimization objectives—often to minimize total costs, patient waiting times, or resource idling. Recent research demonstrates that combining queuing theory with mixed-integer programming and simulation techniques enables healthcare managers to allocate resources dynamically, set staffing levels, and assign priorities among different patient categories. For example, the use of mixed-integer programming can determine the optimal number of servers, beds, and service rates based on patient flow and priority needs, striking a balance between reducing waiting times for critical cases and controlling operational costs. These mathematical models also account for practical constraints and stochastic variability inherent in clinical settings. Applications span emergency departments, outpatient clinics, and even pharmacy and blood service centers—showing significant improvements in system efficiency, reduced patient wait times, and enhanced overall care quality. Thus, mathematical programming is a powerful decision-support tool for queue management, offering evidence-based strategies to address congestion and resource allocation challenges in complex healthcare environments.

Technological innovations have brought significant changes in the management of public administration, including the procurement of goods and services. E-Catalog is one of the innovations implemented to improve efficiency, transparency, and accessibility in the procurement process. This study aims to analyze the effectiveness of the use of E-Catalog in the city of Surabaya based on five main criteria: effort, cost-efficiency, result, cost-effectiveness, and impact. The results of the study show that E-Catalog is able to speed up the procurement process of goods and services by providing direct access to the information needed by users, without going through a time-consuming manual tender process. The system also cuts operational and administrative costs, such as printed documents and formal meetings, providing budget efficiency of up to 10% per year. In addition, user satisfaction levels increased with more than 85% of respondents feeling helped by this system. E-Catalogs not only save time and costs, but also increase transparency and accountability in procurement. All transactions are digitally documented, making the audit process easier and preventing potential irregularities. This implementation also encourages the empowerment of local MSMEs by providing easier access to government markets. Another positive impact is the increase in public trust in the government, which is supported by a transparent and inclusive system. Nonetheless, challenges such as limited technology infrastructure and intensive training need still need to be addressed to ensure the sustainability of these systems. With the integration of blockchain technology and strengthening regulations, E-Katalog has the potential to become an effective and efficient model for the procurement of goods and services, not only in Indonesia, but also at the global level. This research offers strategic recommendations for the development of better technology-based procurement policies and practices in the future.

The production process of graphite glass at ABC faces challenges in the form of waste that has an impact on low operational efficiency. Waste in production activities can affect the quality, cost, and timeliness of product completion. This study aims to identify the most dominant types of waste and provide relevant improvement recommendations to improve production efficiency. The method used is Value Stream Mapping (VSM), a visual approach that maps the flow of the production process from raw materials to final products. The research stage is carried out through direct observation on the production floor, time study, interviews with employees, and documentation of production activities. The results of the analysis show that the most dominant form of waste is overprocessing, which is a repetitive activity that does not add value to the product. This causes longer production cycle times and reduces the effectiveness of resource use. To overcome this, this study provides several recommendations, including: combining production processes that have similar functions, redesigning workflows to make them more concise, and eliminating activities that do not provide added value. The implementation of this improvement has proven to be effective by increasing the Process Cycle Efficiency (PCE) value from 45% to 67%. The increase in PCE reflects that the production process has become more efficient, the workflow is smoother, and the rate of waste has decreased significantly. In addition, the results of this study also confirm that the application of the VSM method can be a strategic solution in identifying sources of inefficiency, designing continuous improvements, and increasing the competitiveness of companies. Thus, the company is expected to continue to evaluate, control, innovate, and improve technology so that efficiency achievements can be maintained, expanded, and improved consistently and sustainably in the future.

This study aims to analyze the financial performance of PT ABC Tbk during the period 2019–2023 using the Du Pont System as the primary analytical tool. The Du Pont System is widely recognized as a comprehensive method to evaluate a company’s overall performance by breaking down profitability into several key components: net profit margin, total asset turnover, return on investment (ROI), equity multiplier, and return on equity (ROE). The research employs a descriptive quantitative approach, with data sourced from secondary materials in the form of official financial statements published by the Indonesia Stock Exchange (IDX). A purposive sampling technique was applied to ensure the relevance and accuracy of the data analyzed. The findings reveal that the company’s financial performance throughout the five-year observation period has been less than optimal. Each of the main components of the Du Pont System showed average ratios that fell below the industry benchmark, indicating structural weaknesses in both profitability and efficiency. Specifically, the net profit margin and total asset turnover were constrained by high operational costs, while ROI and ROE were further pressured by volatility in foreign exchange rates. These inefficiencies highlight the vulnerability of the company’s financial structure to both internal management challenges and external macroeconomic factors. Based on the results, the study provides several strategic recommendations to improve financial performance. First, optimization of cost management is necessary to reduce operational inefficiencies that directly affect profit margins. Second, the implementation of foreign exchange risk mitigation strategies, such as hedging, is suggested to minimize the negative impacts of currency fluctuations. Finally, to strengthen revenue growth, the company is encouraged to adopt and expand digital marketing initiatives as a means of improving sales performance and market penetration. Overall, this study emphasizes the importance of integrating financial control with strategic innovation to ensure long-term sustainability and competitiveness in the pharmaceutical industry.

Steel structure projects are increasingly favored in the construction industry due to their benefits in execution time efficiency and long-term cost savings. However, the suboptimal management of human resources (HRM) remains a significant challenge in achieving these efficiencies. This study aims to systematically review the role of HRM in enhancing time and cost efficiency in steel structure projects. A Systematic Literature Review (SLR) was conducted based on the PRISMA protocol, analyzing 35 accredited scientific articles published between 2013 and 2023. The articles were sourced from national databases such as Garuda and Neliti, and data were extracted using standardized documentation instruments. The analysis reveals that workforce planning, project-based training, performance monitoring, and inter-team coordination are key managerial aspects that consistently contribute to improving both time and cost efficiency. Visualization of topic networks using VOSviewer highlights strong interconnections between themes such as "training," "schedule control," and "performance evaluation," all of which are critical components of strategic HRM practices. This study concludes that HRM plays a crucial role in achieving efficiency in steel structure projects, especially through the integration of technical workflows and managerial control systems. Effective workforce planning ensures that the right skills are available at the right time, while performance monitoring and training programs help enhance productivity and reduce delays. The findings suggest the necessity for formulating HR policies that are based on workload analysis and the improvement of real-time workforce evaluation mechanisms. Furthermore, the study calls for further research to test integrative models for HRM practices in steel-based construction projects in Indonesia. This research opens avenues for refining HRM strategies to support the construction industry’s efficiency goals, offering insights for future studies and practical applications in the field.

UD. Indokarya Brass is a company engaged in the brass handicraft industry with its main products being door handles and bells. The main raw materials used in the production process include brass, copper, tin, and aluminum, which are obtained from suppliers both within and outside the city. On average, raw materials are received weekly with quantities of 50–100 kg of brass, 7–10 kg of copper, 10–15 kg of tin, and 3–5 kg of aluminum. In addition, the company also uses additional materials in the form of thinner and epoxy purchased from nearby hardware stores with less frequent purchases, namely 5–10 liters of thinner every month and around 5 kg of epoxy every two months. To date, the company has not had a structured policy for procurement and control of raw material inventory. This condition results in excess inventory of several types of raw materials which actually incurs high costs, both in terms of storage costs and warehouse maintenance costs. This excess inventory ultimately has an impact on reduced efficiency and decreased company profits. This study was conducted to analyze the existing inventory system and compare the company's current policy with a proposed method for more optimal inventory control. The calculation results show that the proposed method is able to provide significant inventory cost savings, namely 83.25% in brass raw materials, 15.28% in copper, 14.6% in tin, 43.37% in aluminum, 4.66% in epoxy, 4.2% in thinner, and 40.7% in other raw materials. Thus, the implementation of the right inventory control method can improve operational efficiency and help companies reduce cost burdens, so that profits can be more optimal.

This study aims to analyze the effectiveness of raw material inventory control at the Kediri Wet Noodle business by comparing the traditional method with the Economic Order Quantity (EOQ) method. A descriptive quantitative approach was applied, utilizing EOQ, Safety Stock (SS), Re-order Point (ROP), and total inventory cost analysis. The results indicate that the traditional method leads to 24 purchase cycles per year with an inventory cost of IDR 4,320,000, without considering safety stock or re-order points. In contrast, the EOQ method shows an optimal purchase quantity of 1,421 sacks (35,525 Kg) with five purchase cycles per year, an inventory cost of IDR 574,455, a Safety Stock of 67 sacks (1,675 Kg), and a Re-order Point of 107 sacks (2,675 Kg). Therefore, the EOQ method reduces inventory costs by up to 86% compared to the traditional method. Nevertheless, its limitation lies in the exclusion of raw material shelf life and storage condition factors.

This study aims to analyze the process of preparing operational budgets in micro, small, and medium enterprises (MSMEs) of Pempek Love Palembang, which are engaged in the culinary sector typical of South Sumatra. Pempek Love Palembang is one of the business actors that plays a role in maintaining culinary traditions while contributing to the local economy. The research approach used is quantitative descriptive, with data collection techniques through direct interviews with business owners. Interviews are focused on operational activities that cover all stages of production to sales. The scope of analysis includes the preparation of various budget components, including sales budgets, production and inventory costs, raw material budgets, direct labor budgets, overhead costs, operational costs, cost of goods sold (COGS), and profit and loss budgets. Based on the findings, it is known that Pempek Love Palembang has not prepared a budget systematically and well documented. This is due to the limited knowledge of owners and employees about the concept of budget planning, so that the financial management process runs less than optimally. The absence of a structured budget makes it difficult to evaluate performance in a measurable manner and limits the ability of businesses to project profits accurately. This study confirms that the implementation of a good operational budget is not only beneficial for setting clear targets, but also serves as a cost control tool and a basis for strategic decision-making. With proper budget planning, MSMEs such as Pempek Love Palembang can increase efficiency, maintain financial stability, and expand business development opportunities in the future. The recommendation of this study is simple financial management training for MSME actors to be able to prepare budgets independently, accurately, and sustainably for more sustainable and stable business growth.

Batam City, as an industrial hub in the Riau Islands Province, plays a vital role in the region’s economic growth. However, a surge in inflation can affect investment interest, as investors tend to avoid areas with economic uncertainty. One of the main contributors to inflation in Batam is the food component, which experiences high demand, especially during certain periods such as religious holidays and the arrival of international tourists. Batam, which is not a food-producing area, faces significant challenges in meeting agricultural needs and currently remains dependent on supplies from outside the region. Geographic constraints, such as inefficient logistics, weather disruptions, and institutional weaknesses in the food sector, further aggravate inflation control efforts. In addition, hilly terrain and less fertile land limit the types of crops that can be cultivated, making food price stability critically important. This study aims to evaluate the effectiveness of the Low-Cost Market Operation Team Program (Tim Operasi Pasar Murah) in Batam City in 2024. The method used is Sequential Explanatory Design with a mixed-methods approach. Quantitative findings indicate that the average success rate of the program is 85.93%, with a target achievement rate of 90.12% and a satisfaction level of 86.11%. Qualitative results suggest that the policy of conducting low-cost market operations has been appropriate and carried out by authorized institutions, with strong collaboration between the government and the private sector. The program has succeeded in maintaining price stability ahead of the fasting month and Eid al-Fitr, receiving positive responses from the community and demonstrating good internal coordination. In conclusion, the low-cost market operation program in Batam City has been effective in curbing inflation before the fasting month and Eid al-Fitr. However, for comprehensive inflation control, relying solely on this program is insufficient. Additional strategies are needed to ensure sustainable food price stability.

The production of pharmaceutical sterile products requires strict procedures to minimize the risk of microbial, particulate and pyrogen contamination that can be harmful to the user's health. The selection of the right sterilization method is the key to achieving the desired stability of the final product. Filtration sterilization is one of the oldest methods used for pharmaceutical sterile products. There are two types of feed flow in the method, namely through flow filtration and tangential flow filtration. This review article is prepared through literature search and download of national or international journals with inclusion or exclusion criteria that have been set. Literature sources are accessed online from various sites such as Google Scholar and Pubmed in the range of 2014-2024. The keywords used for journal searches are sterilization, through flow filtration, and tangential flow filtration. This review article reviews and compares the two methods to understand the differences, mechanism of action, and research objectives based on the review article on membrane filtration sterilization. This review aims to provide a better insight into the advantages and disadvantages of each membrane filtration sterilization method, as well as guidance in choosing the appropriate method based on the characteristics of the product to be sterilized. The results showed that through flow filtration is more commonly used in small volume and batch processes because of its simple design, but has limitations in reducing membrane fouling. In contrast, tangential flow filtration allows for continuous processing of larger volumes, with the advantage of minimizing particle build-up on the membrane surface, thus extending membrane life. The choice of method is also influenced by factors such as particle size, viscosity of the solution, sensitivity to heat, as well as operating costs. An in-depth understanding of the Working Principle and application of each method is essential for the pharmaceutical industry to ensure the quality, safety and efficiency of the production process. Thus, this review is expected to be a reference for researchers and practitioners in determining the optimal filtration sterilization strategy according to product needs.

This study aims to evaluate the effectiveness of current asset management, specifically cash, receivables, and inventory, and its impact on a company's ability to generate profits. The study focused on companies in the automotive sector listed on the Indonesia Stock Exchange (IDX) from 2020 to 2023. The research approach used a quantitative method with secondary data sourced from annual financial reports. The study sample included 11 companies, resulting in a total of 44 observational data sets over four years. Data analysis was performed using SPSS version 25 software to examine the relationships and influences between the study variables. The test results showed that cash management did not significantly influence profitability. This indicates that the amount of available cash does not always correlate with profit, possibly because cash funds are not optimally utilized in productive activities. Conversely, receivables management showed a negative correlation with profitability. This finding suggests that high receivables can burden cash flow and reduce a company's ability to generate profits. Meanwhile, inventory management has a positive and significant impact on profitability, indicating that good inventory control can support smooth production and sales, thereby increasing profits. Together, these three variables explained 68.4% of the variation in company profitability, while the remaining 31.6% was influenced by factors outside the model, such as operational efficiency, cost structure, and marketing strategy. These findings provide insights for automotive company management to prioritize inventory management and review cash and receivables policies to optimize financial performance.

This study aims to compare the financial performance of Islamic banks and conventional banks operating in Jambi Province during the 2021–2023 period. The approach used is comparative quantitative, with descriptive analysis and independent sample t-tests. Five key financial ratios were analyzed in this study: Return on Assets (ROA), Return on Equity (ROE), Operating Expenses to Operating Income (BOPO), Net Interest Margin (NIM), and Loan to Deposit Ratio (LDR). Data were obtained from the quarterly financial reports of each sample bank, thus reflecting actual financial performance on a periodic and ongoing basis. The analysis shows significant differences in three key financial ratios: ROA, ROE, and BOPO. Conventional banks demonstrate higher levels of profitability and operational efficiency than Islamic banks. High ROA and ROE values reflect the effectiveness of conventional banks in generating profits from their assets and capital. Furthermore, lower BOPO ratios in conventional banks indicate a better ability to control operating costs. In contrast, no significant differences were found in the NIM and LDR ratios, indicating equality between the two types of banks in generating interest margins and disbursing credit or financing to customers. This finding has important implications for the development of the Islamic banking sector to be more competitive, particularly in terms of efficiency and profitability. Islamic banks are expected to improve their asset and operational management strategies to increase competitiveness amidst the dual banking system in Indonesia. This research also contributes to regulators in formulating policies that support the growth of Islamic banks in the regions. For academics and practitioners, this study broadens understanding of the dynamics of local banking financial performance and serves as a reference for further research on the effectiveness of the dual banking system in the regional context.

This research explores the engineering and performance evaluation of 17-4 PH stainless steel as a potential material for turbine blades in geothermal power plants (PLTP). To promote renewable energy innovation in industrial engineering, this study focuses on improving material reliability through microstructural optimization and mechanical property control. The material was produced using the investment casting method at PT SPVMB and then subjected to four heat treatment variations: H900, H1025, AVG (average), and as-cast conditions, with reference to ASTM A747 standards. Mechanical and corrosion characterization were performed through hardness and tensile tests, electrochemical corrosion analysis using geothermal water from the Dieng PLTP, and microstructural observation using an optical microscope. The results showed that the H900 condition had the highest hardness and yield strength (48.46 HRC and 939.25 MPa), but its corrosion rate was relatively high. In contrast, the H1025 heat treatment provides balanced mechanical strength (43.88 HRC and 860.91 MPa) with the lowest corrosion rate (0.027 mm/year), supported by a uniform tempered martensite structure. These findings indicate that heat treatment optimization significantly improves the suitability of 17-4 PH stainless steel for sustainable geothermal applications. The H1025 condition meets all the requirements for geothermal turbine blades, including hardness, strength, and corrosion resistance, potentially extending component life and reducing maintenance costs. Furthermore, the results of this study strengthen the agenda for developing durable, environmentally friendly materials to support renewable energy systems. This study also provides practical insights for industry in selecting the optimal heat treatment that combines mechanical performance and corrosion resistance in extreme geothermal environments.

This study aims to examine the use of cattle waste as organic fertilizer to minimize agricultural operational costs in Mrawan Village, Tapen District, Bondowoso Regency. Cattle waste, particularly manure, is an abundant local resource that has not been optimally utilized by the local community. The majority of farmers in the village still rely on chemical fertilizers, which are relatively expensive and have a negative impact on long-term soil health. Therefore, this program is designed to provide a sustainable alternative solution through an educational approach and community empowerment. The methods used in this activity include outreach, technical training, and direct assistance in the process of making organic fertilizer from cow manure. Education focuses on simple fermentation techniques, the composition of natural additives, and appropriate fertilizer application methods. Farmers are actively involved in every stage of the activity, so they become not only beneficiaries but also agents of change in environmentally friendly agricultural practices. The results of the activity indicate that the use of organic fertilizer from cattle waste can reduce the cost of purchasing chemical fertilizers by up to 40% in a single planting season. In addition, organic fertilizer has been shown to increase soil fertility, improve soil structure, and support healthier plant growth. Environmental impacts are also reduced, as livestock waste management is more controlled and does not pollute water or air sources. Therefore, utilizing cattle waste as organic fertilizer not only reduces environmental pollution but also provides an economic and ecological solution that benefits local farmers. This program is expected to become a model for empowerment that can be replicated in other areas with similar characteristics.

Electricity has emerged as an essential requirement in modern life. As demand escalates, electricity costs rise, making wastefulness a drain on financial resources. Consequently, forecasting electricity usage can enhance our management of consumption. This study presents an IoT-based monitoring and forecasting system for electricity consumption. The system comprises two NodeMCU micro-controllers, a PZEM-004T sensor for collecting real-time power data, and three relays that regulate the current flow to three distinct electrical appliances. The data gathered is transmitted to a web application utilizing the k-Nearest Neighbor (k-NN) algorithm to forecast future electricity usage based on historical patterns. We evaluated the system's performance using four weeks of electricity consumption data. The results indicated that predictions were most accurate when the user’s daily consumption pattern remained stable, achieving a Mean Absolute Error (MAE) of approximately 1 watt and a Mean Absolute Percentage Error (MAPE) ranging from 1% to 1.7%. Additionally, predictions were notably precise during the early morning hours (3:00 AM to 8:00 AM) when k=6 was employed. This study demonstrates the effectiveness of integrating IoT-based systems with machine learning for real-time energy monitoring and forecasting. Furthermore, it emphasizes the application of data mining techniques within embedded IoT environments, providing valuable insights into the implementation of lightweight machine learning for smart energy systems.

The rapid expansion of Indonesia’s digital economy and the enactment of the Personal Data Protection Law (Law 27/2022) have exposed significant shortcomings in the resolution of data-related disputes under existing judicial and administrative frameworks. Public adjudication of sensitive data conflicts can erode trust, impose reputational damage, and delay reparative outcomes, while courts often lack specialized expertise in technology and privacy. Drawing upon international precedents including the European Data Protection Board’s Article 65 GDPR mechanism, the EU–US Data Privacy Framework arbitration annex, and the European Patent Office’s data-protection arbitration rules this study examines the urgency and feasibility of establishing a dedicated Data Dispute Arbitration Forum in Indonesia. Through comparative analysis, it identifies core design elements such as expert-appointed tribunals, streamlined online procedures, confidentiality safeguards, clear enforcement under the New York Con-vention, and mechanisms for restorative remedies beyond fines. Anchored in Pancasila’s social-justice ethos and Indonesia’s ADR law (Law 30/1999) and ITE Law, the proposed institutional architecture integrates online dispute resolution (ODR) protocols, data-minimization and cybersecurity guidelines, and publicly anonymized award publication to foster legal certainty and raise awareness of data-protection obligations. A stakeholder impact assessment demonstrates that such a forum would benefit individual data subjects through low-cost, expeditious relief; controllers and processors through predictability and trade-secret protection; regulators through expert findings; and foreign investors through alignment with global data-governance standards. By aligning domestic legal values with international best practices, the specialized forum promises to bolster enforcement, restore public trust, and strengthen Indonesia’s competitiveness in the global digital marketplace.