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This study aims to analyze the effectiveness of the Liquefied Petroleum Gas (LPG) loading and unloading process at PT Pertamina Energy Tanjung Sekong Terminal, a key infrastructure in Indonesia's national energy distribution. The evaluation was based on technical and operational indicators, including the Berthing Occupancy Ratio (BOR), Length Over All (LOA), berthing time, cargo volume, and vessel visit frequency. The results show that BOR ranged between 55–65%, indicating efficient jetty utilization. The average vessel LOA was 120 meters, matching the jetty’s capacity. The average berthing time was recorded at 18 hours per visit, with unloading volumes between 2,500–3,000 metric tons and vessel frequency ranging from 8 to 10 visits per month. The main constraints affecting effectiveness included extreme weather, technical equipment failures, and limited supporting facilities. This study recommends improving equipment maintenance, strengthening operational coordination, and developing a risk management system to ensure smooth and sustainable LPG handling operations at the terminal.

Good financial planning can create operational effectiveness in educational institutions. This article analyzes the importance of financial planning in school management, covering aspects such as the development of facilities and infrastructure, the improvement of student learning quality, and teacher welfare. The research method used is quantitative with a library research approach, where data is obtained from various scholarly articles and relevant books sourced from Google Scholar. The findings indicate that schools effectively apply for funding and evaluate fund utilization annually. Poor financial planning can disrupt school operations, leading to issues such as delayed teacher salaries, insufficient learning facilities, and other challenges. To achieve effective financial management, technological mastery is essential to ensure operations that are effective, efficient, and accountable.

This study aims to analyze the efficiency of raw material inventory control for bread products at Rejeki Bakery in Mijen, Semarang, and to examine the application of the Material Requirement Planning (MRP) method in optimizing raw material inventory costs. The research employs a quantitative approach using secondary data as the main source. The data analysis technique utilized in this study is the Material Requirement Planning (MRP) method, which includes three inventory control techniques: Lot For Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ). Each method was analyzed to determine the most efficient inventory cost. The results show that the raw material inventory cost using the Lot For Lot (LFL) method is Rp 2,400,000.00, the Economic Order Quantity (EOQ) method results in an inventory cost of Rp 2,992,600.00, while the Period Order Quantity (POQ) method incurs a cost of Rp 6,924,800.00. Additionally, the current raw material inventory cost under Rejeki Bakery’s management policy is Rp 2,681,600.00. Based on these findings, the implementation of the Material Requirement Planning (MRP) method at Rejeki Bakery in Mijen, Semarang, has demonstrated its effectiveness in improving the efficiency of inventory management. Among the three techniques analyzed, the Lot For Lot (LFL) method proves to be the most cost-effective, as it minimizes excess inventory while ensuring that production needs are met. This study highlights the importance of selecting an appropriate inventory control method to optimize costs and enhance operational efficiency in bakery production.

This study examines the digital transformation of the creative arts industry, focusing on how technologies such as Augmented Reality (AR), Virtual Reality (VR), and Non-Fungible Tokens (NFT) have altered the creation and marketing of artworks. Digital platforms have expanded market access for artists, opened new opportunities for more efficient business models with lower costs, and created greater possibilities for cross-disciplinary collaboration. In this context, digital technologies allow artists to reach a global audience and sell their works in more innovative and interactive formats, increasing audience participation in the creative process. However, these developments also face significant challenges, such as increasingly intense competition, rapidly shifting trends, and limitations in resources to optimally implement these technologies. Furthermore, while there are significant opportunities in the global market, some artists in Indonesia still face difficulties in accessing and utilizing the latest technologies. With the creative economy contributing 7.16% to Indonesia's GDP in 2018, this study aims to provide an overview of the dynamics of the arts industry in the digital era and explore potential strategies to support the development of a more adaptable creative ecosystem. These strategies include digital training, strengthening cross-sector collaboration, and enhancing digital infrastructure to facilitate the future growth of the creative arts industry.

Health risk stratification is crucial for preventive healthcare, yet existing models often rely on binary classification generalized disease prediction, neglecting personalized health indicators and graded risk levels. Many studies apply feature selection techniques like Relief and Univariate Selection without quantifying the weighted impact of features. To address these gaps, this study introduces a Big Data-driven Health Index (HI) framework using PySpark for scalable health risk stratification. The HI is computed as a weighted sum of health-related features using SHAP Analysis, XGBoost, Random Forest, and Correlation Analysis. PySpark enables efficient processing of large-scale health data, and individuals are classified into Low and High Risk. Optimal classification thresholds are determined using the Youden Index from the ROC curve to balance sensitivity and specificity. Personalized health recommendations are generated based on risk categories to guide preventive interventions. Performance evaluation reveals that Correlation Analysis achieves 100% precision and 98.90% recall, outperforming other methods. SHAP prioritizes recall but has low precision, while XGBoost and Random Forest improve precision but struggle with recall. By leveraging Big Data techniques with PySpark, this study enhances computational efficiency, scalability, and classification accuracy, addressing prior research limitations and providing a robust data-driven approach to personalized health monitoring.

This study focuses on the effect of applying the Contextual Teaching and Learning (CTL) model in the topic of reaction rate on the ability to think critically and the formation of character values of students in geographically remote areas (remote areas). This approach is designed to strengthen learners' understanding of scientific concepts in a relevant and contextual manner, by connecting them to the dynamics of real life - both in the personal, social and cultural domains. Thus, learners have the opportunity to build conceptual insights and adaptive skills independently. In addition, this real situation-based method contributes to fostering character values such as responsibility, discipline, innovation, curiosity, as well as social interaction skills and effective communication during the learning process. The literature review was conducted by collecting scientific publications released between 2018 and 2025. The findings of this review confirmed that the CTL approach has a real positive impact in honing critical thinking skills and fostering learners' character that supports their academic achievement. Therefore, it can be concluded that CTL is an efficient and relevant pedagogical method to be applied in teaching high school chemistry.

One of the issues in fishing culture, particularly in the capture of blue crabs, is the use of improper fishing gear. Using the wrong fishing gear can damage the marine ecosystem. The type of bait used also significantly affects the catch results. Therefore, this study aims to determine the productivity and efficiency of crab traps (bubu) using petek fish and tembang fish as bait to catch blue crabs at the Tanjung Kait Dock, Tangerang, Banten. To assess the efficiency, these two baits were compared using the same fishing gear in the same fishing area, so the most efficient bait for catching blue crabs at the Tanjung Kait Dock, Tangerang, Banten, could be identified. The results of this study show that the type of bait, either petek fish or tembang fish, has an effect on the blue crab catch at the Tanjung Kait Dock. The treatment using petek fish resulted in an average catch of 2.5 kilograms more than the tembang fish.

The Independent Curriculum provides thinking in learning, allowing teachers to adjust the material to the needs of students. However, challenges such as limited resources, teacher readiness, and variations in student learning styles are still challenges in its implementation (Kemendikbud, 2022). This study aims to examine the implementation of adaptive learning modules as a solution to improve learning effectiveness. Adaptive modules that integrate technology and personalization of teaching materials are expected to improve students' understanding in a way that is more appropriate to their individual needs (Mayer, 2009). The approach used in this study includes literature studies and field observations, which show that adaptive modules can significantly improve student learning outcomes. However, the implementation of this adaptive learning module still requires support in the form of adequate teacher training and supporting technological infrastructure so that learning can run effectively and efficiently (Batubara, 2019). This study provides recommendations to strengthen teacher readiness and provide the resources needed in the implementation of adaptive modules.

The purpose of this community service activity is for participants to understand how to manage finances effectively and efficiently, especially after the pandemic. In this training, it is hoped that participants will gain knowledge on how to allocate company funds or capital to finance business line needs, ensuring that the company's budget is distributed to the right posts and used for various purposes that benefit the company. After this activity, it is expected that participants will be able to plan their finances effectively and efficiently. The target of this activity is the manager of Canting Batik Crafts in Padang Panjang, West Sumatra. The implementation method consists of three stages. The first stage is preparation, including a pre-survey, team formation, proposal preparation and submission, coordination between teams and partners, as well as preparation of training tools and materials. The second stage is the program implementation stage in the form of socialization through counseling (material presentation) and discussions. The third stage is the evaluation and reporting stage. The evaluation is conducted by comparing the conditions of partners before and after the program implementation using interview and observation methods. Afterward, a report is prepared for further socialization.

The development of the economy and business sector in every country in the world is a trigger for competition between companies to gain profit. This competition raises demands for the relevance and reliability of the company's financial reports that are sustainable, which are intended to avoid conflict between users of financial reports, both internally and externally, so that proper company management is needed in managing the components in the company. This writing is a descriptive qualitative research in the form of observation, interviews and documentation at PT PLN (Persero). Based on the data found that non-operating assets are still included in the status of operating assets and if not immediately proposed will increase the accumulated depreciation costs. Depreciation costs are one of the elements of the company's operational costs that affect the company's profit because they reduce revenue. In addition to depreciation costs, there are also costs that will have an impact, namely the cost of maintaining warehouse operations. Therefore, the company must develop a more efficient and effective strategy to manage these non-operating assets so as not to burden operations and financial performance in the long term. Thus, it is concluded that in the implementation of the asset management system there are still various obstacles in the form of incomplete administrative data and assets that have not been neatly inventoried and external obstacles such as irregular material returns that further complicate asset data management. So the author makes a recommendation, namely the implementation of an integrated asset digitalization system to help track the condition and location of assets more accurately, to speed up the identification process.

This study examines the presence of the Monday effect in companies listed in the IDX30 index on the Indonesia Stock Exchange (IDX) from February 2018 to January 2023. The Monday effect is a market anomaly where stock returns on Mondays tend to be systematically different from other trading days. This phenomenon, if proven, challenges the efficient market hypothesis. The main research problem is whether the Monday effect exists in IDX30 stocks during the specified period. The study aims to provide empirical evidence regarding this anomaly in the Indonesian stock market. The research employs a quantitative approach, utilizing secondary data in the form of daily stock closing prices. The sample consists of 15 companies that were consistently listed in the IDX30 index throughout the study period, selected through a purposive sampling method. The analysis is conducted using the One-Way ANOVA test with SPSS 27 statistical software to compare stock returns across different trading days. The findings confirm the presence of the Monday effect in IDX30-listed stocks, indicating that stock returns on Mondays exhibit statistically significant differences compared to other days. These results suggest that behavioral factors and market inefficiencies may influence stock price movements in the IDX30 index. This study contributes to the literature on stock market anomalies and provides insights for investors and policymakers regarding trading strategies and market efficiency in Indonesia.

Determining the price of option contracts is a crucial aspect of financial markets, particularly for investors aiming to manage risk and make informed investment decisions. In this study, the price of an Asian call option is calculated using the Monte Carlo Stratified Sampling method based on the stock price data of Tesla, Inc. (TSLA) from January 2021 to December 2023. This method has been proven to reduce variance compared to the Standard Monte Carlo simulation, leading to faster price convergence and more efficient results. The parameters used in the simulation include the initial stock price  (S_0), number of simulations (N), maturity time  (T)dividend = 0, risk-free rate (r), strike price ( K), and volatility

This study examines the synthesis and characterization of new compounds produced from chalcone, confirming their favorable yield and excellent purity utilizing Using FT-IR and 1H and 13C NMR spectroscopy. The compounds showed efficacy comparable to that of conventional antibiotics, demonstrating substantial bactericidal activity against Staphylococcus aureus and Escherichia coli. Interestingly, molecule S10 had stronger antibacterial activity, possibly as a result of its efficient electronic pairings. Furthermore, the compounds demonstrated resilience for up to 45 seconds when tested for stability under helium-neon laser irradiation. Longer exposure (60 seconds), however, caused discernible color and melting point alterations, suggesting thermal or photochemical deterioration. These results point to the possibility of additional pharmacological uses for molecules produced from chalcone.

The school's fifth-grade kids receive jumputan batik instruction with the goal of enhancing both their creative abilities and extracurricular accomplishments. One batik-making technique that makes use of the tie-dye procedure is jumputan batik. Jumputan batik is made by tying thread in specific areas of the material and then dipping it in dye to create a unique design. In order to ensure that activities may be carried out efficiently and have the greatest possible influence on students' development, the process of carrying out this community service is structured from planning to evaluation. As a result, kids are able to freely and creatively express themselves through art-related activities. Students can make their own designs and patterns when making jumputan batik, which promotes original and creative thinking. The ability to create original designs is made possible by the jumputan batik process, which incorporates tie-dye elements. Pupils can use their imagination to create motifs, patterns, and color combinations that represent their own personalities and concepts. Students' critical and creative thinking abilities are greatly enhanced by this creative process. According to the findings, students now possess much greater creativity, self-confidence, discipline, and teamwork. In addition to teaching pupils traditional batik techniques, this instruction aids in the development of social and character traits that will benefit them greatly throughout their life. It is anticipated that by exposing more students to Indonesian art and culture, this instruction would be expanded and perpetuated. It is anticipated that by exposing more students to Indonesian art and culture, this instruction would be expanded and perpetuated.

In the modern construction industry, accuracy and efficiency in volume calculations are crucial aspects of project success. This study compares two methods for calculating the volume of pile caps and reinforcement: the manual method and the Building Information Modeling (BIM)-based method. The manual method has long been used but has limitations in terms of time efficiency and a higher risk of errors. In contrast, the BIM method offers more accurate and efficient calculations through software-based digital modeling. This study employs a descriptive-comparative quantitative approach by analyzing volume calculation data using both methods. The results indicate that the BIM method has a higher level of accuracy, with a concrete volume of 1,822.87 m³ and reinforcement of 148,862.80 kg, compared to the manual method, which produced a concrete volume of 1,842.17 m³ and reinforcement of 150,279.05 kg. The comparison of pile cap volume calculations shows that the BIM method achieves 98.95% effectiveness in concrete volume calculations and 99.06% effectiveness in reinforcement calculations compared to the manual method. Additionally, the BIM method has proven to be more efficient in reducing calculation time and minimizing input errors. Thus, BIM is more recommended for large-scale projects that require high accuracy and efficiency in construction volume calculations. However, the manual method remains relevant as a validation tool and for small projects with technological limitations. This study highlights the importance of adopting digital technology in the construction industry to enhance productivity and project planning effectiveness.    

Harvesting is a crucial stage in the palm oil production process that impacts the efficiency and productivity of the plantation. Choosing the right harvesting method can increase the effectiveness of time and labor. This study compares harvesting efficiency using manual and mechanized methods by measuring the duration of fruit harvest and transportation time to the collection point (TPH). This study was conducted in November–December 2024 at PT. Kencana Sawit Indonesia, located in Talao Sungai Kunyit, South Solok, West Sumatra. The equipment used included stationery, a stopwatch, and data related to working time and harvest results. Data were collected through direct observation. The analysis was carried out using the t-student statistical test to evaluate the difference in working time between the manual and mechanized methods. The results showed that harvesting with mechanization was more efficient than the manual method. The difference in harvest time reached 12 seconds per bunch with a P value of 0.0002, while the transportation time to the TPH was 23.48 minutes faster per ton with a P value <0.0001. Monthly production with mechanization averaged 48.69 tons, while the manual method only produced 38.13 tons per month. Thus, the use of mechanized harvesting methods has proven to be faster in the harvesting process, fruit transportation, and increasing monthly production results. The implementation of mechanization can be a strategic step to increase operational efficiency and productivity of oil palm plantations.

Biogas is an alternative energy source that is environmentally friendly, cheap, easy to obtain and renewable. In general, all types of organic materials can be processed to produce biogas, however only homogeneous organic materials (solid and liquid) such as manure and urine (urine) of livestock are suitable for a simple biogas system. Biogas can be burned like LPG and on a large scale can be used to generate electricity, so that biogas can be used as an alternative energy source that is environmentally friendly and renewable. To determine the performance of biogas as an alternative energy source, in this research the method used is to compare the performance of Biogas with LPG gas as a source of electrical energy. Analysis of trial data per minute (RPM), with varying load levels, shows that the RPM of generators using LPG only decreases slightly as the electrical load increases, which shows that the generator is able to maintain more consistent performance. The RPM produced by LPG, which ranges from 2358 to 2420 RPM, indicates that the engine is running faster and more efficiently, while biogas has a lower RPM, ranging from 1715 to 1820 RPM, which indicates slower operation. LPG efficiency ranges from 89.60% to 98.12%, while biogas efficiency ranges from 74.67% to 89.60%. Even though biogas shows less stable performance than LPG, biogas still has potential as an alternative fuel, especially in areas that have limited access to LPG but have abundant sources of biogas raw materials. The use of biogas can reduce dependence on fossil fuels and reduce greenhouse gas emissions. Even though LPG is more efficient, biogas has significant potential to be developed as a more environmentally friendly alternative energy source because LPG relies on non-renewable fossil fuels and has a negative impact on the environment in the long term.

This study discusses the analysis of parental assessment and the usefulness of expert systems in detecting child behavioral disorders using the system usability method scales (SUS). This system is designed to help parents identify behavioral disorders in children efficiently and accurately. The research method includes compiling a questionnaire, collecting data, processing SUS scores, interpreting results, and recommending improvements. The results of this study indicate that this system gets an average SUS score of 82.84, which is included in the Grade A category. This shows a high level of acceptance and good user experience, where users do not experience difficulty in operating the system. In addition, this system managed to maintain its search performance, but improvements are needed in some of its services according to suggestions from respondents.

The manual attendance system using paper at work locations other than offices at PT Gresik Migas creates challenges in the effectiveness and efficiency of employee attendance records. This study implements a web-based attendance system that integrates geolocation and selfie features to improve the accuracy and efficiency of attendance recording. The system was developed using native PHP for backend, jQuery for frontend, MySQL as database, and Leaflet JS for geolocation implementation. Implementation results show the system was successfully implemented in 5 different locations with a 50-meter validation radius and used by 40 employees. This system enables real-time attendance monitoring through an admin dashboard and produces more efficient attendance records compared to the previous manual system.

Pearl catfish (Clarias gariepinus) has advantages when cultivated, namely fast growth, efficient feed, has a uniform size and is resistant to disease (Matasina and Sartika, 2020). The success of a fish farming business can be determined by its feeding management, because feed that is consumed effectively by fish can make fish experience good growth (Hanief, et.al, 2014).The purpose of this study was to determine the effect of natural feeding of Daphnia magna and silk worms on the absolute weight growth of pearl catfish (Clarias gariepinus) seeds aged 5 days. The method used is an experimental method that aims to determine the effect of feeding Daphnia sp and silk worms on the absolute weight growth of pearl catfish seeds (Clarias gariepinus) aged 5 days in a controlled environment. This study was arranged in a completely randomized design (CRD) with 3 (three) treatments and each consisting of 9 (nine) repetitions, thus there were 27 experimental units. Treatment A 100% silk worm (control), treatment B: 100% Daphnia sp and treatment C 50% Daphnia sp and 50% silk worm. The parameter observed was absolute weight growth. The results showed that the highest absolute weight growth was obtained from treatment A at 1.22 g, then treatment C at 0.76 g and the lowest was treatment B at 0.33 g. Based on the LSD further test, all feed treatments had significant differences on the absolute weight of fish fry. Based on the LSD further test as a whole shows that all feed treatments have significant differences on the absolute weight of fish seeds.