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The increasing energy demand due to population growth and industrial development has driven the search for clean and renewable alternative energy sources. One promising solution is hydrogen-based energy through water electrolysis, which produces HHO gas (a mixture of hydrogen and oxygen).  The efficiency of the electrolysis process is significantly influenced by the type and concentration of the electrolyte solution used, such as NaCl and KOH, as well as the electrode material here, stainless steel SS316L. This study shows that increasing the mass of the electrolyte solution enhances hydrogen production. NaCl with a mass of 153 grams produced 1,509 ppm of hydrogen at the high-variable setting, while KOH with a mass of 147 grams produced up to 2,320 ppm. However, KOH also caused higher corrosion levels, reaching 0.117 grams in the high-variable setup, compared to NaCl at 0.038 grams. The Cl⁻ and OH⁻ ions in the electrolyte are highly reactive and contribute to electrode surface degradation. Furthermore, the electrode position affects hydrogen productivity, where closer proximity to the power source improves reaction efficiency. Therefore, the selection of electrolyte type and the optimization of the electrolysis system configuration are crucial in the development of efficient hydrogen production technology.

Increasing in energy demand and limited fossil fuel reserves have driven the use of environmentally friendly alternative energy sources. This study aims to analyze the effect of pyrolysis temperature variations on the quality of biopellets made from bagasse and coffee husks. The materials were prepared in a 50:50 ratio with the addition of 15% tapioca flour as a binder. The pyrolysis process was carried out at temperatures of 450°C, 500°C, and 550°C for 120 minutes in oxygen-free conditions. The biochar resulting from pyrolysis was formed into biopellets, which were then tested for proximate composition, calorific value, and combustion rate. The results showed that an increase in pyrolysis temperature had a significant effect on the characteristics of the biopellets. A temperature of 550°C produced the lowest moisture content (8.436%), the highest fixed carbon content (62.191%), the highest calorific value (6293 cal/g), and the highest combustion rate (0.05789 g/sec). Conversely, ash content increased with rising temperature, while volatile matter content decreased. Thus, the best biopellets were obtained at a temperature of 550°C. This study confirms the potential of bagasse and coffee husks as raw materials for biopellets through pyrolysis temperature optimization to support the development of sustainable biomass energy.

This community service program aims to optimize construction project planning through assistance in preparing a business feasibility study at PT Sahabat Anugrah Sejati. The construction sector is a strategic industry that requires effective resource management, proper risk mitigation, and accurate planning to ensure project success. Therefore, the program supported the partner in analyzing financial, managerial, market, and economic aspects prior to making investment decisions for the proposed project. The results show that the project is feasible based on the Net Present Value (NPV) and Internal Rate of Return (IRR) analyses. An efficient organizational structure, a competent management team, and strong supervision mechanisms further strengthen the project’s operational readiness. Increasing demand for construction services also enhances the company’s market prospects. However, several areas still require improvement, including heavy equipment utilization, material efficiency, and digital marketing strategies. This program provides strategic recommendations to help PT Sahabat Anugrah Sejati improve project feasibility, operational effectiveness, and long-term business sustainability.

This study analyzes the conditions of extreme overcapacity in an installed exhaust ventilation system (Qinstalled = 18.00 /minute) that serves four acid cabinet units, specifically for the storage of volatile Hazardous and Toxic Materials (B3) such as toluene and methanol in tightly sealed containers. Although high capacity ensures safety, this practice causes significant energy inefficiency and unnecessary negative pressure problems in the room. Based on engineering analysis using a conservative Air Change Rate (ACR) standard of   for liquid storage of 1.38 /minute. By applying the industry standard safety factor (FoS) of 1.5, the ideal flow rate (Qideal) that must be allocated is 2.07 . The optimization analysis concludes that the currently installed system is theoretically capable of safely and efficiently serving 8 units of volatile storage acid cabinets, with the addition of 4 new cabinets to maximize efficiency and reduce energy waste. This utilizes 92% of the total capacity while maintaining a safety factor above 1.5.

This study examines the optimization of military defense in North Sulawesi as a supporting pillar for Indonesia’s new import gateway. Positioned strategically on the Pacific rim, North Sulawesi is expected to become a hub for imported goods to support national economic equalization. However, this import route shift also brings security challenges, including military and non-military threats such as smuggling, maritime crimes, and potential infiltration by terrorist groups. This research employs a qualitative descriptive method based on literature study, focusing on the analysis of naval and air defense strategies, modernization of main weapon systems (alutsista), and the enhancement of human resources within the Indonesian National Armed Forces (TNI). The results indicate that strengthening defense infrastructure, including the addition of warships, patrol vessels, and modern fighter aircraft, is urgently needed to maintain regional stability. Furthermore, the application of the smart defense concept, integrating advanced technology with local community empowerment, can sustainably enhance maritime resilience. Investment in the defense sector has been shown to create a conducive climate for international trade, boost investor confidence, and strengthen Indonesia’s economic connectivity with the Asia-Pacific region. This study recommends synergy between the Ministry of Defense, TNI, and the national defense industry to accelerate the modernization and maintenance of alutsista, while ensuring the security of trade routes in North Sulawesi. With these measures, North Sulawesi can function optimally as a strategic import gateway that supports national economic growth and reinforces state defense.

The development of lanthanum-doped barium hexaferrite materials has attracted considerable attention in the field of functional materials, particularly as electromagnetic wave absorbers. This literature review aims to analyze advances in synthesis methods, structural characteristics, magnetic properties, and electromagnetic absorption performance of lanthanum-doped barium hexaferrite reported in various studies. Synthesis techniques such as sol–gel, coprecipitation, solid-state reaction, and hydrothermal methods are compared to evaluate their effects on crystallite size, morphology, and phase purity. Lanthanum doping is known to modify lattice parameters, reduce coercivity, and enhance complex permittivity and permeability, which play crucial roles in absorption mechanisms. Furthermore, variations in dopant concentration significantly influence reflection loss values and effective absorption bandwidth. The reviewed literature indicates that optimization of composition and synthesis routes can produce materials with high absorption capability, good stability, and strong potential for application in electromagnetic interference mitigation devices. This review is expected to serve as a conceptual reference for future development of lanthanum-doped barium hexaferrite–based electromagnetic wave absorbing materials. The comparative approach also highlights research challenges, industrial application opportunities, and future research directions relevant to the evolving demands of modern communication and defense technologies at both national and global levels.

Lovebysisdaisy is a micro, small, and medium enterprise (MSME) producing handmade phone charm accessories and operating as a home-based business with limited digital marketing capabilities. This community service program aimed to strengthen digital marketing through Instagram optimization and the utilization of Shopee as an e-commerce platform. A participatory approach was applied, involving the business owner from problem identification to evaluation. Methods included observation, interviews, and digital documentation, followed by assistance in content development and Shopee store management. The results show that structured Instagram content improved visual consistency and audience engagement, while the establishment of a Shopee store enabled organized product catalogs and initial customer interactions. These outcomes indicate increased digital awareness and readiness of the MSME to implement sustainable online marketing strategies and expand market access.

This study aims to analyze and optimize the use of Chromebook devices as a medium for formative and summative assessment, especially with the help of the Quizizz gamification platform, for sixth-grade students of Kemawi State Elementary School. The study population was 69 sixth-grade students from three academic years, namely 2023/2024, 2024/2025, and 2025/2026. The research method used was a quasi-experimental design with a One-Group Pretest-Posttest Design. Data were collected through questionnaires in the form of student and teacher responses, interviews with students, teachers, and principals, as well as pre-test and post-test learning outcome tests. The results showed a significant increase in student learning outcomes after the implementation of Chromebook and Quizizz-based assessments, as indicated by an increase in the average post-test score higher than the pre-test. Student assessment using Chromebooks with the aid of Quizizz was also effective, as evidenced by the results of the t-test, which yielded a mean difference of 34.24 and a mean difference of 1.668, indicating a significant difference between pretest and posttest learning outcomes. The optimal use of Chromebooks for sixth-grade student assessment using Quizizz was demonstrated by the average pretest and posttest scores obtained using the N-Gain test of 0.80, a high criterion. Furthermore, questionnaires and interviews confirmed that the use of this technology combination increased learning motivation, active participation, and the effectiveness of the assessment process. Optimization efforts included ongoing digital literacy training for teachers and adapting Quizizz content to suit the school's characteristics and curriculum. This study concluded that Chromebooks and Quizizz are effective and worthy of optimization as innovative assessment tools at the elementary school level.

Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.

The plastic recycling industry generates wastewater that poses a potential threat to aquatic environments if not managed optimally. Performance evaluation of Wastewater Treatment Plants (WWTP) is typically conducted partially by comparing outlet parameters against effluent standards, often failing to depict water quality conditions holistically. Therefore, this study employs the Water Quality Index (WQI) approach using the Canadian Council of Ministers of the Environment (CCME) method to evaluate the performance of PT X's WWTP in East Java. This research utilized secondary data from inlet and outlet wastewater quality tests over 23 months (January 2024–November 2025), covering 10 parameters. Analysis was conducted by calculating removal efficiency and determining factors F1 (scope), F2 (frequency), and F3 (amplitude) as the basis for the WQI-CCME calculation. The results indicate that the WWTP achieved high efficiency (>80%) in reducing dominant parameters such as TSS, TDS, BOD, and COD. However, violations of effluent standards were still observed in certain parameters. The obtained WQI-CCME value was 69,30, categorized as "Fair" with a moderate level of violation. These findings demonstrate that although the WWTP meets regulatory standards, the WQI-CCME approach provides a more comprehensive assessment of performance. Optimization of advanced treatment units is recommended to improve effluent quality and sustainable WWTP performance.                                                                   

This study aims to analyze cost and time optimization in project management through a case study of developing a QR Code–based Digital Warehouse Management System. The project was carried out by a team of students from the Logistics Management Study Program as a practical implementation of modern project management concepts in an academic environment. The research employed a descriptive qualitative case study approach, including observation, documentation, and literature analysis. The results indicate that the use of QR Code technology significantly improves time efficiency in stock recording by up to 80% and reduces the risk of human error. In terms of cost, the project successfully optimized resources by utilizing personal devices and open-source software, eliminating the need for additional infrastructure investment. The project also demonstrated effective implementation of the Work Breakdown Structure (WBS), risk management, and evaluation based on the Triple Constraint principle. These findings highlight that simple digital innovations can greatly enhance operational efficiency and project management performance, making them a strategic solution for SMEs in the digitalization of warehouse operations.  

This study applies the Mean Variance model, which aims to form an optimal portfolio composition in the health, property, and cyclical consumer sectors and combine the three sectors into one portfolio, then visualize its efficient frontier. This study analyzes the return profiles and compares the risks of each portfolio using alternative risk measures such as the Coefficient of Variation (CV), Value at Risk (VaR), and Conditional Value at Risk (CVaR). Daily closing price data for the three sectors listed on the Indonesia Stock Exchange (IDX) from March 2, 2020, to March 3, 2025, were used in this study. Stock selection was conducted using purposive sampling, followed by selecting seven stocks for optimization based on the lowest Coefficient of Variation (CV) value. Portfolio optimization analysis was conducted using the Python programming language with Visual Studio Code software. The findings of this study indicate that the combined portfolio incorporating the three sectors is the most efficient, with an expected return of 0.104%, standard deviation of 0.007, and alternative risk measures such as Coefficient of Variation (CV) 6.9328, Value at Risk (VaR) of -0.99%, and Conditional Value at Risk (CVaR) of -1.44%, which are lower than those of single-sector portfolios. Visualization of the efficient frontier curve confirms that the combined portfolio offers better results in terms of risk and return. The results of this study indicate that cross-sector diversification can significantly reduce risk and prevent significant losses.

This study uses a qualitative method of a descriptive approach with an interpretive paradigm to gain an in-depth understanding of the process of planning, implementing, and evaluating broadcast programs. This research was carried out at the Communication and Information Office of Bogor Regency, Jalan Tegar Beriman Number 1, Pakansari, Cibinong District, Bogor Regency, West Java 16914. The data collection techniques used are direct observation of the broadcast process, in-depth interviews with broadcasters and program managers, and documentation to support the validity of research data. The results of this study show that broadcasting strategies are implemented through content planning that suits the needs of listeners, the implementation of interactive broadcasts involving listeners and routine evaluation to maintain the quality of the information that has been delivered. In addition, the use of digital media as a streaming platform and interaction through social media also supports a wider reach to listeners. The conclusion of the broadcasting strategy implemented by Radio Teman 95.3 FM is considered effective in maintaining listener loyalty and attracting new audiences, so that it can be an example for other local radio stations in facing the current digital media competition.technological optimization, audience engagement, and adaptation to the development of new media.

Optimizing human resource (HR) performance through a business process reengineering (BPR) approach is a crucial strategy in a competitive and dynamic industrial environment. This study qualitatively examines through a literature review how BPRs radically redesign business processes to improve productivity, quality, time efficiency, and reduce operational costs, with a focus on HR aspects such as recruitment, training, performance appraisal, and career development. The BPR theory by Michael Hammer and James Champy emphasizes the principles of results-based workflow reorganization, the integration of information technology such as ERP and AI, and the empowerment of HR to eliminate task redundancy. In the Indonesian industrial context, the integration of BPR with digital transformation supports Industry 4.0, where HR acts as a catalyst for innovation through adaptive skills and cross-functional collaboration. The study results show that BPR implementation strategies including as-is process analysis, to-be design, change management, and continuous evaluation increase employee motivation, retention, and sustainable competitive advantage. Case studies such as PT Telkom Indonesia and PT Cahaya Mega Group demonstrate efficiency increases of up to 100%. This approach not only streamlines operations but also builds an organization resilient to market and technological disruption.

Traffic congestion is a persistent challenge in urban areas in Indonesia, where increasing vehicle density creates the need for intelligent traffic monitoring systems. This study aims to develop a real-time vehicle parking system using the YOLOv8 object detection model to provide efficient traffic analysis from live CCTV broadcasts and recorded videos. This study uses a quantitative experimental approach with the implementation of the YOLOv8m model using the Ultralytics library in Python, tested on data collected from CCTV cameras A TCS Dishub Medan and additional footage from mobile devices. Vehicles are detected and counted in two directions up (Up) and down (Down) using virtual detection lines on the video frame. The system performance is evaluated by automatic detection counting with manually recorded ground truth data. The results show that on live CCTV broadcasts, the YOLOv8m model achieves an average precision of 98.96%, a recall of 96.59%, and an F1 score of 97.74% for upstream traffic, while for downstream traffic it achieves 100% precision, 95.64% recall, and an F1 score of 97.730/0. On the other hand, on high-quality recorded videos, all performance metrics achieve 100%, indicating perfect detection accuracy. These findings confirm the effectiveness of YOLOv8 in real-time traffic monitoring, but also indicate that video quality and stream stability affect detection performance. In conclusion, the developed system shows strong potential to support smart city traffic management solutions. Future research should focus on performance optimization under low-resolution live streaming conditions to improve accuracy in practical applications.  

Digital transformation in the supply chain is the main driver of increasing industrial competitiveness in the modern era. This study aims to analyze the influence of supply chain digitalization on industrial production efficiency through information integration, process optimization, and strengthening collaboration between supply chain actors. The method used is a qualitative approach based on literature studies on various previous studies that discuss the application of digital technologies, such as the Internet of Things (IoT), big data analytics, blockchain, and Enterprise Resource Planning (ERP), in industrial supply chain management. The results of the study show that digitalization increases the visibility of supply chain activities in real-time, allowing companies to monitor the movement of raw materials, production processes, and distribution more accurately. Digital integration also strengthens the company's internal and external coordination, thereby accelerating decision-making and increasing the effectiveness of collaboration with supply chain partners. In addition, the application of digital technology encourages the optimization of production processes through automation, more precise planning of material needs, and reduction of uncertainty of demand and supply. A number of studies report a decrease in lead-time, operational cost efficiency, and improved product quality as a positive impact of digitalization. However, the literature also identifies implementation challenges, such as technology gaps, resistance to organizational change, and significant initial investment needs. Overall, this study concludes that supply chain digitalization is a crucial strategy to improve production efficiency, operational resilience, and company responsiveness to market dynamics, as well as provide a basis for the development of industrial digitalization strategies and advanced research.

This study aims to examine the application of mocaf flour as a partial or complete substitute for wheat flour in the preparation of dadar gulung, a traditional Indonesian delicacy. The research is grounded in the potential of mocaf, which is gluten-free, rich in dietary fiber, and supports efforts to diversify food sources based on local commodities. A quantitative experimental method was employed with three flour formulations 50% wheat : 50% mocaf, 25% wheat : 75% mocaf, and 100% mocaf evaluated through organoleptic testing by 25 panelists with varying levels of experience. The assessment parameters included color, aroma, taste, texture, and overall perception. The findings indicate that the formulation containing 100% achieved the highest overall score, followed by the 75% mocaf and 25% wheat blend, while the 50% mocaf and 50% wheat formulation ranked lowest. These results suggest that a dominant proportion of mocaf can maintain the sensory quality of the product, although full substitution requires further optimization to enhance consumer acceptance. This research contributes to the development of healthier innovations in traditional foods, offers a gluten-free alternative for individuals with dietary restrictions, and promotes the sustainable utilization of local resources.

The integration of big data in the financial sector has increasingly attracted scholarly attention, particularly in areas such as risk management, fraud detection, algorithmic trading, and investment optimization. Given the rapid development of this field, it is essential to map research trends and identify emerging directions that shape the future of financial innovation. This study applies a bibliometric approach using 3,829 articles retrieved from the Scopus database from 1981 to 2025, with data processed through R Studio and the Bibliometrix-Biblioshiny application. The objective is to explore the intellectual landscape of big data finance and reveal research frontiers as well as thematic evolution. The results show a sharp increase in publications after 2015, alongside the growth of fintech and artificial intelligence applications, with dominant themes including blockchain integration, risk analytics, and predictive modelling. Cross-disciplinary and cross-regional collaborations continue to expand. These findings provide a comprehensive overview of how big data has shaped financial studies and offer insights for potential future research directions.

This study aims to analyze the management process of the Cargo Ship Safety Construction Certificate by PT. Putra Andalas Samudera at the Port Authority and Harbormaster Office (KSOP) Class I Dumai. This certificate is a vital document to ensure ship seaworthiness in accordance with the standards of the Directorate General of Sea Transportation. The research method used is descriptive qualitative with data collection techniques through field observations, in-depth interviews, and documentation studies during the internship period. The results indicate that the management procedure is currently conducted digitally through the Shipping and Seafarers Information System (SIMKAPEL). Although the system aims for efficiency, several main obstacles were found, namely: data entry errors by staff, excessive digital document file sizes that hinder system verification, and internet network instability causing disruptions to the central server. Optimization efforts carried out by the company include increasing the accuracy of document validation before uploading and strengthening coordination between the agent, ship owner, and KSOP authorities. This study concludes that optimal certificate management is crucial to prevent financial losses due to ship operational delays and to ensure the safety of the crew and cargo.

This study aims to analyze the optimization of the use of Village Funds in efforts to develop Pethung Park tourism in Belik Village, Trawas District, Mojokerto Regency, using  the New Public Governance (NPG) theoretical approach  from Osborne and Gabler. NPG theory emphasizes the importance of collaboration, participation, networking, decentralization, as well as transparency and accountability in public governance. This study uses a qualitative descriptive method by collecting data through interviews, observations, and documentation involving the village government, BUMDes, Pokdarwis, and the local community. The results of the study show that the Belik Village government has succeeded in making optimal use of the Village Fund as an instrument of local economic development and a means of community empowerment. The Village Fund is directed to tourism infrastructure development, human resource training, and digital-based tourism promotion. Collaboration between village governments, communities, and the private sector through BUMDes and Pokdarwis is able to create participatory and sustainable development governance. The real impact can be seen from the increase in the number of tourist visits, the growth of MSMEs, and the increase in the village's original income. This study concludes that NPG-based governance practices in Belik Village have resulted in development effectiveness and strengthened village economic independence. The results of this study can be a model for other villages in implementing the management of Village Funds for the tourism sector based on collaboration and community participation towards sustainable village development.