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Distribution transformers play a critical role in delivering electrical energy from medium-voltage networks to low-voltage consumers. At ULP Medan Kota, several distribution transformers have been operating with loads exceeding 80% of their nominal capacity, posing risks of overloading, efficiency reduction, and equipment failure. This study aims to analyze the performance of distribution transformers based on actual load data and evaluate mitigation strategies through the implementation of additional parallel transformers (trafo sisip). The methodology includes data collection, load and current calculation, and simulation of load distribution after transformer insertion. The results show that the installation of trafo sisip reduces the load on the main transformer by approximately 50% and significantly lowers the current to safer levels. Moreover, placing the trafo sisip at an optimal position minimizes voltage drop to as low as 0.0745 Volts. Therefore, the addition of trafo sisip is proven to enhance the reliability, efficiency, and operational life of the power distribution system at ULP Medan Kota.

The performance of the Indonesian National Team (Timnas) in the 2026 World Cup qualifications has triggered massive and diverse responses on social media, particularly on platform X. This study aims to identify and classify public sentiment regarding Timnas Indonesia's performance into positive, negative, and neutral categories using a data mining approach. Text data was processed through pre-processing stages, term weighting using TF-IDF, and the application of the Synthetic Minority Over-sampling Technique (SMOTE) to address significant class distribution imbalance. The classification algorithm employed was Multinomial Naïve Bayes. Model performance evaluation was conducted by comparing two training-testing data split scenarios: 90:10 and 80:20 ratios. The results indicate that public opinion is dominated by negative sentiment at 73.2%, reflecting public disappointment. In terms of model performance, the 90:10 ratio scenario yielded the best accuracy of 80%, outperforming the 80:20 ratio which recorded an accuracy of 75%. These findings demonstrate that combining Multinomial Naïve Bayes with the SMOTE technique is effective in handling imbalanced text data and is capable of accurately mapping public perception.

Distribution transformers play a crucial role in delivering electrical energy from the distribution system to consumers to ensure power quality and supply continuity. However, in practice, overload conditions often occur due to increasing demand and load growth that exceed the transformer’s rated capacity. This situation can lead to reduced efficiency, increased power losses, and accelerated equipment aging. This study aims to analyze the performance of the CMY distribution transformer at PT PLN (Persero) ULP Labuan, which operates beyond its nominal capacity, and to propose an alternative solution through transformer mutation, namely the replacement of the existing unit with a transformer of more appropriate capacity based on load analysis results. The Least Square Method is employed to predict future load growth and determine the projected time when the transformer will again experience overload after the mutation. The results indicate that the existing 100 kVA transformer is overloaded and should be replaced with a 160 kVA unit. After the mutation, the loading percentage decreases significantly, the transformer’s lifespan is extended, and the reliability of the distribution system improves. Furthermore, the Least Square prediction suggests that the new transformer may experience overload again in future years if no further planning is carried out. Therefore, transformer mutation can be considered an effective and medium-term solution to enhance and maintain the reliability of the electrical distribution system within the operational area of PT PLN (Persero) ULP Labuan.

Business ventures are activities carried out by individuals or organizations involving the production, sale, purchase, or exchange of goods and services, with the aim of generating profit. A basic necessities store (commonly known as a “sembako” store in Indonesia) sells daily staple needs, especially the nine essential commodities (sembako), which include items such as rice, sugar, cooking oil, eggs, salt, and other key food ingredients. UD. Putri 2, located in Dusun 1A, Sumber Harapan Village (21261), Tinggi Raja Subdistrict, Asahan Regency, was established in 2018 and has since become an essential part of the local community. This has required UD. Putri 2 to constantly monitor their stock inventory. However, the company still faces inefficiencies in managing sales data processing, which often leads to inventory shortages. When the supply of goods is insufficient to meet customer demand, customers may turn to other stores. If this occurs repeatedly, the store risks losing profit due to the unavailability of goods. Supply Chain Management (SCM) refers to the integrated processes and production activities starting from the acquisition of raw materials from suppliers, the value-adding processes that turn raw materials into finished products, the inventory storage process, and the distribution of finished goods to retailers and consumers. The implementation of SCM can optimize inventory management of staple goods, minimize inventory costs, and improve supply chain efficiency at UD. Putri 2.

This study aims to understand the impact of income distribution from the “Khas Matab–Agro Eco Edu Tourism” Program on the economic growth of communities in the area of the Al Hidayah Social Foundation (YSA), Bedugul, Bali. Unlike quantitative studies that measure impacts numerically, this research employs a descriptive qualitative approach to explore the perceptions, experiences, and socio-economic changes perceived by program beneficiaries. Data were collected through in-depth interviews, focus group discussions (FGDs), observation, and documentation. Thematic analysis was used to identify key themes related to changes in household income, consumption patterns, micro-enterprise empowerment, and perceptions of fairness in program distribution. The findings indicate that the “Khas Matab–Agro Eco Edu Tourism–Farming” Program not only enhances community economic access but also strengthens economic and social capital in education, fosters a sense of self-reliance, and promotes the sustainability of micro-enterprises. Nevertheless, challenges remain in ensuring equitable income distribution and improving community business management capacity. This study emphasizes the importance of an empowerment-based income distribution approach grounded in social capital theory (Putnam, 2000) and community empowerment theory (Chambers, 1997) for local economic development.

This literature review synthesizes a wide range of research findings that examine the role of auxin distribution direction in regulating leaf primordium patterning, known as phyllotaxis, in Arabidopsis thaliana. The reviewed studies consistently indicate that phyllotaxis represents a highly coordinated growth regulation mechanism that is primarily governed by Polar Auxin Transport (PAT), which is mediated by Pin-Formed (PIN) auxin efflux proteins. The polarity and spatial localization of PIN proteins generate dynamic auxin gradients within the shoot apical meristem, and these gradients function as key positional signals that determine the precise sites where new leaf primordia are initiated. Furthermore, auxin distribution is not regulated solely by PAT but is tightly integrated with genetic, cellular, and mechanical cues. Several studies highlight the role of transcription factors such as TMO5 in influencing PIN1 convergence and reinforcing auxin maxima at primordium initiation sites. In addition, the interaction between PIN polarity and the orientation of cortical microtubules suggests that mechanical stress and cytoskeletal organization contribute to the stability and directionality of auxin flow. Comparative analysis of the literature demonstrates that PAT and PIN proteins operate through interconnected mechanisms to control auxin distribution direction, which ultimately shapes the spatial arrangement and regularity of leaf primordium patterns. Overall, this review emphasizes the complexity and integration of hormonal, genetic, and mechanical signals in controlling phyllotaxis in plants.

The price of horticultural commodities such as potatoes is highly vulnerable to market fluctuations influenced by factors such as harvest season, distribution, and consumer demand. This study aims to analyze the trend and fluctuation of potato prices in Muara Enim Regency over the past five years, from 2019 to 2023. A descriptive quantitative approach was employed, utilizing secondary data consisting of monthly potato prices in Indonesian rupiah per 100 kilograms. The data were analyzed using average annual prices and the coefficient of variation (CV) to measure the price stability each year. The results indicate significant changes in potato prices across the years. The highest average price occurred in 2021, reaching Rp 879,167 per 100 kg, while the lowest was recorded in 2019 at Rp 760,417. The CV analysis revealed that 2023 was the most volatile year with a CV of 14.75%, indicating a high level of market instability. In contrast, 2022 had the lowest CV at 3.00%, indicating relatively stable prices throughout the year

This study compares the effectiveness of MAUT (Multi-Attribute Utility Theory), SMART (Simple Multi-Attribute Rating Technique), and WASPAS (Weighted Aggregated Sum Product Assessment) methods in a decision support system for determining the best employees at Sisilia Boutique. The quality of human resources is crucial in the retail business, but performance evaluation is often influenced by subjectivity. To address this, a multi-criteria-based decision support system is needed. MAUT translates preferences into a numerical scale, SMART calculates the average value of attributes based on weights, while WASPAS combines weighted summation (WSM) and weighted multiplication (WPM) for more balanced results. Employee performance data from Sisilia Boutique in June 2025, including attendance, store layout, customer service, and discipline, were used as the research object. The comparison results show consistency in the highest (K3) and lowest (K7) ratings across the three methods, with differences in the middle ratings. WASPAS offers a more balanced distribution of final scores, making it a comprehensive alternative for performance evaluation.

In the era of the Industrial Revolution 4.0, Islamic Religious Education (PAI) must emphasize not only memorizing religious content, but also fostering advanced thinking skills such as analysis, evaluation, and creativity through the Higher Order Thinking Skills (HOTS) method. This study aims to describe the implementation of HOTS-oriented Islamic Religious Education (PAI) learning at SMAN 2 Banjit, focusing on implementation methods, supporting and inhibiting factors, and their influence on students. This study uses a qualitative descriptive methodology with data collection methods such as observation, interviews, and documentation. The subjects of the study were Islamic Religious Education (PAI) teachers. Data analysis was carried out by means of data reduction, data presentation, and drawing conclusions. The results of the study indicate that Islamic Religious Education (PAI) teachers at SMAN 2 Banjit have implemented host-based Islamic Religious Education (PAI) teaching methods. HOTS-based learning through discussion methods, advanced question and answer, and problem-based learning, but the implementation has not been evenly distributed across classes. Teachers understand the basic concepts of HOTS, but still face obstacles in preparing HOTS-based learning devices and assessment instruments. Supporting factors for implementation are the support of the principal, technological facilities, and the enthusiasm of some students. Meanwhile, emerging obstacles include a rote-oriented learning culture, unequal distribution of learning facilities, and teacher administrative burdens. The implementation of HOTS has a positive impact on improving students' critical thinking skills and argumentative skills, as well as helping them understand Islamic values ​​more contextually.

Traditional arts in Indonesia face a growing threat not from physical displacement, but from algorithmic distortion. This study examines how social media algorithms shape and distort public perception of Indonesian traditional arts — specifically jaranan and barongan — through the lens of Van Dijck's (2013) popularity principle: the principle that content distribution is determined by interaction volume rather than cultural value. Employing qualitative thematic content analysis, this study analyzes comments on five viral social media videos sourced from YouTube and TikTok, each depicting riots or tension at traditional art performances. Findings demonstrate that the popularity principle operates consistently and cumulatively across all five samples: algorithmically provocative titles, emotional polarization in comment sections, and micro-behavioral signals such as watch duration and replay collectively function as interaction signals that drive the platform to distribute riot content far more widely than culturally substantive footage. The consequences extend beyond perception: event organizers suffer long-term reputational and economic damage, while collective stereotypes — associating jaranan with violence and disorder — become sufficiently entrenched to surface spontaneously in unrelated contexts. A comparative analysis of a Kangen Band concert video reveals that these stereotypes have already achieved the status of cultural reference points. This study argues that strategic resistance is possible: the same algorithmic logic that amplifies negative content can be deployed to circulate culturally rich content, provided that artists, communities, and government commit to producing content designed to generate high-quality interaction. The challenge is to transform social media from a distorting mirror into an instrument of cultural preservation.

The tradition of Ketupat Qunutan on the 15th night of Ramadan in Kampung Pinang, Tangerang City, is a religious practice of the Muslim community that integrates congregational qunut prayers, the making and distribution of ketupat as a symbol of gratitude, almsgiving, purity of heart, and brotherhood. Through a living hadith study approach, this research analyzes how the values of the Sunnah of the Prophet Muhammad SAW, such as communal prayer, food charity, and strengthening Islamic brotherhood, are contextualized within the local culture of the archipelago without a literal textual basis, but rather as a harmonious actualization between Islamic teachings and traditional wisdom. The findings show the dynamics of religious understanding between textual and contextual approaches, in which this tradition strengthens social solidarity, mutual cooperation, and the transmission of the Islamic identity of the archipelago, while also functioning as effective cultural da'wah without contradicting sharia law. This study contributes to the study of Islamic anthropology and living sunnah, affirming cultural acculturation as a form of religious expression that is alive and relevant.

The welfare of the community in the economic sector is one of the benchmarks for the welfare of the community, there are many people who experience poverty which is motivated by economic factors, the national amil zakat agency offers the jatim Makmur program. a program that really needs manpower considering that there are several workshop equipment that must be distributed to mustahik to do business. The method of assistance in the activities carried out by the national amil zakat agency of East Java province is an annual program activity, namely the Makmur program, which is carried out from July 14-16. One of the programs of the national amil zakat agency of East Java province, namely the Makmur program, is a program that moves in the economic field, which has two objectives, namely the development and empowerment of the economy in the community, the Makmur program distributes work equipment assistance z auto, some of the work equipment assistance distributed is among others such as Grobak workshops, workshop tools, other than that the amil zakat agency not only provides assistance in the form of z auto repair shop equipment but along with the basic materials needed by the workshopsuchas stock oil, andso on, the distribution of work equipment assistance Z auto Makmur jatim program has a positive value for the community, namely providing benefits regarding the empowerment and development of mustahik so that z auto repair shop business actors are able to become muzakki and donate a little of their wealth to people in need, assistance in the distribution of the jatim Makmur program is in accordance with the category of 8 asnaf at least with the category of poor or underprivileged people.

This research was conducted with the aim of analyzing and finding out about the empowerment of orphans at LAZNAS PPPA Daarul Qur'an Lampung through Islamic philanthropy-based educational funding. The approach used in this research is descriptive qualitative, using a case study method. The data collection process involved observation, interviews, and document review. Data analysis included data collection, data reduction, data presentation, and conclusion drawing, as well as data validation through triangulation. This study revealed that educational funding rooted in Islamic philanthropy at LAZNAS PPPA Daarul Qur'an Lampung includes budget revenues and expenditures with allocations prepared at the beginning of each year. The expenditure period can be tracked through the LAZNAS PPPA Daarul Qur'an Lampung online system. Distribution efforts include eliminating educational costs for orphans, providing basic necessities, distributing Mushabs for orphaned students who memorize the Qur'an, and supporting orphans. The evaluation of Islamic philanthropy-based education funding at LAZNAS PPPA Daarul Qur'an Lampung involved an analysis that showed that the role of the nadzir (manager) remains limited. All responsibilities and functions of the nadzir, particularly those of branch heads and fundraisers, are aimed at improving management. Furthermore, accountability is a factor taken into account when drafting the budget for the upcoming period.

Per capita expenditure is an important indicator of household welfare because it reflects the economic capacity and consumption patterns of the community, as explained in Engel's Law. In regions with diverse geographical characteristics such as Papua Province, spatial analysis is needed to understand the variations in expenditure between districts/cities and the differences between urban and rural areas. This study aims to analyze the spatial distribution of per capita expenditure percentages for food and non-food items in nine districts/cities in Papua Province during the 2022–2024 period. The research data was sourced from the National Socioeconomic Survey (Susenas). The methods used included quantile-based choropleth mapping using QGIS, attribute data merging through table joins, and Pearson's correlation test to evaluate the consistency of spending patterns between years. The analysis results show that food and non-food spending patterns were relatively stable during the observation period with high correlation values (r = 0,85–0,93), although spatial variations between regions were still apparent. Mamberamo Raya Regency consistently had the highest proportion of food spending (>68%), while Jayapura City showed the lowest proportion. These findings indicate spatial disparities related to urbanization levels and economic access. Spatial visualization proved effective in revealing regional disparity patterns that were not fully apparent through conventional statistical tables and has the potential to support the formulation of more evidence-based regional development policies.  

The rapid growth of e-commerce has increased the strategic role of freight forwarding and delivery service companies in maintaining the efficiency of supply chains. However, the increasing complexity of delivery processes also raises various operational risks, such as package damage, loss, delivery delays, and distribution errors. This study aims to analyze the implementation of risk management in freight forwarding companies operating in Brebes Regency and to assess the effectiveness of the risk management practices applied. This research employs a descriptive qualitative approach, with data collected through in-depth interviews, observations, documentation, and questionnaires. Informants were selected using purposive sampling, involving company management, operational staff, couriers, and customer service personnel. Data analysis was conducted using the Miles and Huberman interactive model and supported by average risk score analysis. The results show that most aspects of risk management fall into the high and very good categories, with an overall average score of 3.89. This indicates that the company has implemented risk management effectively, particularly in incident evaluation, risk measurement, and cooperation with insurance providers. Nevertheless, improvements are still needed in reducing the frequency of operational risks and enhancing the use of digital technology for risk monitoring to ensure a more comprehensive and sustainable risk management system.

The increasing integration of digital technology into the daily lives of Generation Alpha has contributed to reduced physical activity, highlighting the need to understand the factors shaping children’s movement behaviors. This study employed a quantitative correlational approach to examine the relationship between parental educational background and the physical activity levels of students aged 13–15 at SMP 1 Waru Sidoarjo. Data were collected through a parental education questionnaire and the PAQ-C instrument, which assesses children’s physical activity over the past seven days. A total of 45 respondents participated, and the data were analyzed using Pearson or Spearman correlation tests, depending on distribution. The findings revealed a positive and statistically significant—though weak—association between parental education and children’s physical activity levels. Parents with higher education tend to promote more active lifestyles by regulating screen time, providing access to sports facilities, and modeling healthy behaviors. These results underscore the essential role of families in developing healthy routines among Generation Alpha and the need for educational initiatives to enhance parental awareness of physical activity in an increasingly digital environment.

Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.

The welfare of the community in the economic sector is one of the benchmarks for the welfare of the community, there are many people who experience poverty which is motivated by economic factors, the national amil zakat agency offers the jatim Makmur program. a program that really needs manpower considering that there are several workshop equipment that must be distributed to mustahik to do business. The method of assistance in the activities carried out by the national amil zakat agency of East Java province is an annual program activity, namely the Makmur program, which is carried out from July 14-16. One of the programs of the national amil zakat agency of East Java province, namely the Makmur program, is a program that moves in the economic field, which has two objectives, namely the development and empowerment of the economy in the community, the Makmur program distributes work equipment assistance z auto, some of the work equipment assistance distributed is among others such as Grobak workshops, workshop tools, other than that the amil zakat agency not only provides assistance in the form of z auto repair shop equipment but along with the basic materials needed by the workshopsuchas stock oil, andso on, the distribution of work equipment assistance Z auto Makmur jatim program has a positive value for the community, namely providing benefits regarding the empowerment and development of mustahik so that z auto repair shop business actors are able to become muzakki and donate a little of their wealth to people in need, assistance in the distribution of the jatim Makmur program is in accordance with the category of 8 asnaf at least with the category of poor or underprivileged people.

This study examines the implementation of RoRo ship services in Indonesia, highlighting the implementation of RoRo ships and the current national logistics framework potential strategies, particularly in the 3T region. This research employs a qualitative descriptive methodology that includes a literature review. It utilizes secondary data from previous studies, comprising books and original scientific reports published in articles or journals. The findings indicated 1) The use of RoRo ships has gone through progressive developments, like the government's initiative on “Sea Toll” designed to support the logistics sector, particularly in 3T regions. 2) Enhancing the logistics framework through the integration of National Logistic EcosIstem (NLE) alongside the Internet of Things (IoT) to increase logistics efficiency that is rapid, effective, and clear. Nevertheless, these initiatives faces challenges. Consequently. The proposed strategies focus on improving growth center development through logistics integration (shipping, port management, and intermodal) and implementing digitalization in logistics document processing.

The integration of Artificial Intelligence (AI) in higher education has led to the increasing use of AI-powered adaptive learning models that support personalized and data-driven learning. However, studies examining preservice teachers’ perceptions of these models remain limited, despite their important role in future classroom implementation. This study aims to explore preservice teachers’ perceptions of AI-powered adaptive learning in higher education, focusing on perceived usefulness, learning adaptivity, learning experience, and perceived concerns. A descriptive qualitative research design was employed involving 53 preservice teachers from various universities. Data were collected using a Likert-scale questionnaire and open-ended questions. Quantitative data were analyzed descriptively using percentage distributions, while qualitative data were examined through simple thematic analysis. The findings reveal that preservice teachers generally demonstrate positive perceptions of AIpowered adaptive learning, particularly in terms of learning effectiveness, adaptability, and engagement. Nevertheless, concerns related to over-reliance on AI, ethical issues, and data privacy were also identified. These results indicate that preservice teachers show readiness to engage with AI-supported learning, while highlighting the need for teacher education programs to promote responsible and pedagogically informed AI integration.