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Various floods in Jayapura City in early 2025 have caused a number of losses. The problem of the impact of this flood can be solved by reducing the occurrence of flooding again, especially in the long term through the formation of children's character who care about the environment. Activities to increase environmental awareness were carried out by planting flowers focused on children studying at the Rumbel Pelita located at Kali Sunyi, Polda Bhayangkara Public Housing Complex, Buper Waena. The purpose of this community service activity was to increase children's awareness of the surrounding environment through flower planting. The problem posed was how to change children's behavior to care about the environment to prevent flooding. The solution was to increase children's awareness through flower planting at the Kali Sunyi location, Polda Bhayangkara, Buper Waena, Heram District. The method used was through counseling, question and answer sessions, and flower planting activities accompanied by their care. This care was carried out primarily during the learning process at the Rumbel that took place in the future after the community service activity. The results of this community service have been carried out by planting approximately 165 flowers at the Rumbel location, planted by 50 children.

At the research location at PT. Ansaf Inti Resource, there are several mining stages such as exploration. In the exploration itself, drilling and logging activities are carried out. However, if not careful in calculating coal resource estimates, there can be potential discrepancies between the estimated coal resources based on the results of drilling data identification and well logging data with the actual results. Exploration activities are activities that are often carried out by companies to determine reserves in an area. Without carrying out these activities, companies will have difficulty estimating the profits to be obtained. To obtain the data needed to carry out exploration activities such as calculating the quality and quantity of coal, it is necessary to carry out drilling such as the full coring method and also carry out logging activities to complete the data and also as comparative data from core drilling. Coal Resources are part of a coal deposit in the form of a certain quantity and have reasonable prospects that allow for economic consideration. Coal resources are divided according to the level of geological confidence into inferred, indicated, and measured categories. Therefore, in this study, the author will calculate coal resources from exploration data collection such as coring data, cutting data, and well logging data as well as coal quality data and process it in Minescape 5.7 software so that it can obtain an estimate of coal resources for each seam at the research location.

Street names are a vital public information tool that helps people identify locations, find addresses, and reinforce the identity of a region. The availability of street names also supports the effectiveness of administrative services, community mobility, and emergency service access. Srigonco Village, Bantur District, Malang Regency, still faces a lack of street names, making it difficult for residents and visitors to find specific addresses. Based on this situation, students from the 14th Community Service Program (KKN-T) at Raden Rahmat Islamic University (Unira) Malang implemented a community service program involving mapping and installing street names at several strategic locations in the village. The implementation method included field observation, street name data collection, coordination with village officials, design and production, and installation of the street names. This program aims to improve access to location information, clarify regional identity, and support orderly village administration. The results of the activity indicate that the presence of street names provides tangible benefits to the community, particularly in facilitating address searches, improving environmental order, and helping visitors to identify Srigonco Village more easily and effectively.

This study aims to analyze the phenomenon of flexing on social media as a representation of social status in digital society through the perspectives of Jean Baudrillard’s simulacra theory and Erving Goffman’s self-presentation theory. The research employs a qualitative method using content analysis of social media posts, particularly on Instagram and TikTok, that display flexing practices. The research data consist of photos and videos containing symbols of luxury, such as branded goods, luxury vehicles, exclusive locations, and consumptive lifestyles. The findings reveal that flexing is not merely an act of showing off, but also a conscious self-representation strategy used to construct a particular social image. The luxury symbols displayed often do not fully reflect reality, but rather represent identity constructions that have been selectively curated and manipulated according to the desired image. From the perspective of simulacra, these representations have replaced reality itself, causing the boundary between reality and representation to become increasingly blurred. Furthermore, the phenomenon of flexing is closely related to consumer culture, the need for social recognition, and personal branding strategies in the digital era. Exposure to flexing content also encourages social comparison, which may lead to psychological pressure among audiences. Therefore, flexing can be understood as a multidimensional phenomenon reflecting changes in how individuals construct identity, perceive reality, and gain social legitimacy within digital society.

The Operational Aspect in Islam emphasizes that production activities must benefit humanity or be related to meeting human needs. For example, the selection of raw materials should not come from haram sources, the production process should be free from activities prohibited by Sharia, production should not be excessive, and there should be no waste. The Islamic view on human resources emphasizes that all workers are huan beings, not robots or business tools. A A Business Feasibility Study refers to an analysis of a business plan, both prior to its implementation and once the business is operating on a regular basis. The aim of this study is to evaluate the operational aspects and human resource management within the feasibility study of the Islamic-based convection business, Brand 57 Busana Pekalongan. This research employs a qualitative approach. The data were collected through field research, which involves conducting the study directly at the site where the phenomena related to the research problem occur. The techniques applied for data collection include observation, interviews, and documentation The result of this study indicate that the Brand 57 Busana pekalongan is feasible in terms of operational and human resource management aspects from a Sharia businesss feasibility study perspective because it has chosen a strategic location, good product quality, adequate production capacity, and technology utilization. In addition, the brand 57 Busana Pekalongan convection is deemed permissible for operational production activities from an Islamic perspective, such as production activities based on Islamic values and Maqashid Syariah. In the implementation of human resources management, the Brand 57 Busana Pekalongan convention has implemented job descriptions, a Muslim work ethic, a fair and decent salary distribution system.

This study aims to analyze the role of the Regional Disaster Management Agency (BPBD) of East Flores Regency in managing the eruption disaster of Mount Lewotobi Laki-Laki during the pre-disaster, emergency response, and post-disaster phases. The study employed a descriptive qualitative method involving 18 informants from BPBD and affected communities in Wulanggitang and Ile Bura Sub-districts. Data were collected through observation, interviews, and documentation. The findings show that during the pre-disaster phase, BPBD implemented preparedness measures through disaster-prone area mapping, the establishment of Disaster Preparedness Teams and Disaster-Resilient Villages, public outreach, and the use of local wisdom. However, outdated contingency plans, limited early warning systems, weak relocation efforts, and low public awareness contributed to panic and casualties during the eruption. In the emergency response phase, BPBD successfully coordinated evacuation efforts, established emergency posts, and distributed logistics effectively. Nevertheless, displaced communities experienced discomfort due to prolonged emergency conditions and limited fulfillment of basic needs in temporary shelters. In the post-disaster phase, BPBD conducted rehabilitation and reconstruction through transportation recovery, trauma healing programs, and permanent housing development based on the Rehabilitation and Reconstruction Plan (R3P). However, limited funding and delays in reconstruction processes remained major challenges. Therefore, improving coordination, institutional capacity, disaster communication, and community participation is essential for effective disaster management.

This research aims to compare coal quality based on proximate analysis in two seams with varying depths in Pit North and evaluate the relationship between depth and coal quality parameters. The research method includes taking representative samples at each seam and proximate analysis laboratory testing including inherent moisture, ash content, volatile matter, and fixed carbon. The results showed that seam 1 at an average depth of 59.8 m had an inherent moisture value of 13.51%, ash 4.68%, volatile matter 39.93%, and fixed carbon 41.88%, while seam 2 at an average depth of 82.1 m had inherent moisture 13.42%, ash 4.59%, volatile matter 40.15%, and fixed carbon. 41.84%. Correlation analysis shows that the relationship between depth and coal quality parameters is relatively weak with correlation coefficient values ​​ranging from −0.36 to 0.25 and a low coefficient of determination, so that variations in depth do not have a significant influence on coal quality at the research location.

The rapid advancement of artificial intelligence (AI) has significantly altered the landscape of business decision-making, particularly for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. Despite their critical role in economic growth and employment generation, MSMEs frequently encounter substantial barriers related to technological adoption, digital literacy, and resource allocation. This research systematically investigates the utilization of artificial intelligence as a responsive innovation mechanism designed to optimize decision-making processes within the MSME sector. By employing a comprehensive systematic literature review methodology, analyzing peer-reviewed publications from globally recognized academic databases between 2018 and 2024, this study delineates the multifaceted benefits, complex challenges, and contextualized adoption strategies associated with AI integration. The findings reveal that artificial intelligence holds transformative potential for enhancing operational efficiency, refining predictive analytics, and sustaining long-term competitiveness. Conversely, critical challenges, including inadequate digital infrastructure, financial constraints, and organizational resistance, remain pervasive obstacles. Consequently, the study advocates for a gradual, responsive innovation approach that aligns technological adoption with specific business needs and environmental pressures. The insights derived from this research offer substantial theoretical and practical implications, providing a strategic framework for policymakers and MSME owners to accelerate digital transformation inclusively.

This study aims to analyze the marketing strategy implemented by Catering Lapak Ning Icha to increase consumer purchase intention. The background of this research is the intense competition in the culinary MSME sector, particularly catering services, which demands effective and sustainable marketing strategies. A qualitative approach with a case study design was employed. Data were collected through in-depth interviews, observations, and documentation involving the business owner (represented by the operator), employees, and consumers. Data analysis was conducted using the Miles and Huberman model, consisting of data reduction, data display, and conclusion drawing. The findings reveal that the marketing strategy based on the 7P marketing mix (Product, Price, Place, Promotion, People, Process, and Physical Evidence) plays a significant role in increasing consumer purchase intention. In terms of product, the catering maintains taste quality, cleanliness, and menu variety. Pricing is set affordably and competitively. Easy location access and accurate ordering and distribution processes support the place and process aspects. Promotion is carried out organically through social media and word of mouth. Additionally, friendly and professional employee service, as well as physical evidence such as a clean business environment and neat packaging, contribute to positive consumer perceptions. The implications of this study suggest that consistent and integrated marketing strategies aligned with consumer needs can effectively enhance purchase intention and customer loyalty. This research serves as a reference for culinary MSME actors in designing effective and sustainable marketing strategies.

This research aims to analyze: (1) the general characteristics of farmers who convert rubber land to oil palm plantations in Sungai Gelam District, and (2) the economic impact of this land conversion, particularly on farmers’ income. This study uses a quantitative approach with survey data collected from rubber and oil palm farmers. The results show that there are notable differences in farmer characteristics, including capital, labor use, and market access. The average income difference between rubber and oil palm farmers is IDR 2,712,000, indicating higher earnings from oil palm cultivation. Based on the BNT test, with a value of IDR 405,000, the average income difference exceeds the threshold, confirming that the difference is statistically significant. Furthermore, the calculated F value is greater than the F table value, which strengthens the conclusion that there is a significant difference in income between rubber and oil palm farmers. Therefore, land conversion contributes positively to farmers’ income improvement.

This study aims to analyze the effectiveness of corporate zakat management in reducing economic inequality from the perspective of muamalah. The research employs a library research method with a qualitative-descriptive approach by examining various literature sources, empirical data, and regulations related to corporate zakat in Indonesia. The findings reveal that corporate zakat management achieves optimal effectiveness when zakat funds are distributed through a productive zakat scheme. This scheme is implemented through six main stages: preliminary surveys of beneficiaries, regular assistance, provision of business capital, business partner guidance, motivational training, and periodic evaluations of beneficiaries’ business development. However, practical implementation still faces several challenges. The allocation of funds for business capital among economically disadvantaged communities has only reached approximately 0.4%, while the majority of zakat funds, around 97.1%, are still utilized for consumptive assistance. This condition indicates that the economic empowerment function of zakat has not yet been fully optimized. Therefore, integrative solutions are required, including institutional strengthening through the establishment of Islamic microfinance units such as Baitul Maal wat Tamwil (BMT) internally, as well as stronger government regulations through tax deductible incentive policies externally to support the sustainable optimization of corporate zakat distribution.

This study is motivated by the importance of maintaining consumer satisfaction amidst increasingly fierce competition in the culinary business, where Warteg Bunana faces challenges in the form of a decline in the number of customers over the past two years. The objective of this research is to determine and analyze the influence of social media promotion, location, and perceived value on consumer satisfaction at Warteg Bunana in Batam City. The research method used is a quantitative approach with a survey method through the distribution of questionnaires to 100 respondents selected using simple random sampling techniques. Data were analyzed using multiple linear regression analysis via SPSS software. The findings indicate that simultaneously, social media promotion, location, and perceived value have a significant effect on consumer satisfaction with an F value of 21,940 and a significance value of 0.000 < 0.05. Partially, all three variables also have a significant influence on consumer satisfaction. The coefficient of determination (R Square) of 0.407 shows that these variables explain 40.7% of consumer satisfaction. The implications of this research suggest that Warteg Bunana management needs to increase social media promotion consistently and maintain location comfort and service quality to improve consumers' perceived value on a sustainable basis

The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.

Desa Motu is an area that experiences limited internet access due to the unavailability of conventional ISP services and weak cellular signal coverage. This study aims to develop a community-based RT/RW Net network system to provide internet access by utilizing Starlink as the main ISP and distributing connectivity through networking devices such as MikroTik routers, access points, switches, and fiber optic media. Network testing was conducted by measuring download and upload speeds using network testing ap-plications, evaluating connection stability through latency (ping) measurements, and assessing signal coverage at several user locations. The results show that the implemented RT/RW Net network is able to provide a stable internet connection with consistent speeds at different testing times, as well as optimal signal distribution across multiple measurement points. The authentication system using vouchers, PPPoE, hotspot login, and MAC Binding functions properly, and the free educational access feature also operates effectively. These findings indicate that the RT/RW Net–based community network model can serve as an affordable and sustainable solution for expanding internet access in rural areas.

The distribution of social assistance in Indonesia faces challenges such as inaccurate recipient data, overlapping programs, and limitations of traditional data management systems that lead to inaccurate targeting of aid. This study proposes a social assistance distribution optimization system using the Greedy algorithm that assesses recipient priorities based on economic conditions, number of family members, location, and urgency of needs with certain weights to produce objective rankings. This system is implemented in a JavaScript-based web application without external frameworks, making it lightweight and easily accessible. Simulations with 20 prospective recipients and a quota of 10 slots and validation with a dataset of 10,000 entries show that the Greedy algorithm produces identical results to Dynamic Programming but is much faster (669 times faster). In terms of complexity, this algorithm has O(n log n) time and O(n) space, and meets the requirements of the Greedy Choice Property and Optimal Substructure, making it a practical and efficient solution for managing large-scale social assistance distribution in Indonesia.

This study investigates the influence of drug availability, location, and service quality on consumer purchasing decisions at Toko Obat Zahwa Batam. The phenomenon underlying this research is a significant decline of 23.3% in transactions at Toko Obat Zahwa over three years (2022–2024). A quantitative approach with survey method was employed, involving 100 respondents selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed through multiple linear regression using IBM SPSS 26. The results indicate that drug availability has a positive and significant effect on purchasing decisions (t = 5.390; sig. = .000), service quality has a positive and significant effect (t = 4.700; sig. = .000), while location does not significantly influence purchasing decisions (t = –0.556; sig. = .579). Simultaneously, all three variables significantly affect purchasing decisions (F = 38.203; sig. = .000) and explain 53.0% of the variance (Adjusted R² = .530). The dominant influence of drug availability confirms the need-driven nature of pharmaceutical retail purchases, while the non-significant effect of location reflects habitual buying behavior among loyal consumers. These findings provide practical implications for independent drug store management in competitive markets.

Based on the analysis, (1) the support aspect has been implemented effectively, as evidenced by strong leadership commitment, policy support, the availability of facilities and infrastructure, adequate budget allocation, and solid inter-agency coordination, although technical constraints such as network disruptions remain. Further, (2) the capacity aspect is categorized as relatively adequate, reflected in the readiness of human resources, the availability of technological infrastructure, clear standard operating procedures, and the implementation of training programs, despite the need for further enhancement of technical competencies and network quality. Lastly, (3) the value aspect demonstrates highly positive outcomes, as the Warkop Samsat program provides significant benefits, including improved service quality, time and cost efficiency, service convenience, increased user satisfaction, and enhanced public compliance with motor vehicle tax payments In conclusion, public service innovation through the Warkop Samsat program in Gorontalo City has been effectively implemented, generating positive impacts for the community. However, further strengthening of technical aspects and capacity development is required to ensure the program's sustainability.

The provision of grants by local governments to vertical agencies of the central government often raises legal tensions over local fiscal autonomy. This study aims to examine the implications of such grant disbursements through the lens of the General Principles of Good Governance (AUPB) and the principles of good financial governance. Employing a normative legal research method, this study analyzes the coherence between the discretionary powers of regional heads and the standards of clean governance. The research findings indicate that grant policies for central government agencies often disregard the principles of prudence and utility, with local budget allocations instead used to fund matters constitutionally the responsibility of the central government (the State Budget). This practice has the potential to become a source of abuse of authority (detournement de pouvoir) if not grounded in objective parameters of local public needs. This study concludes that evaluating grant policies through the AUPB framework, particularly regarding transparency, accountability, and participation, is crucial to preventing local financial subordination. More restrictive regulatory reforms are needed to ensure that grant expenditures remain focused on improving the quality of public services and community welfare at the local level without compromising national fiscal stability.

The need for housing is increasingly pressing with population growth and urbanization, while affordability remains a challenge for single-income households. The purpose of this investigation is to assess the impact of price also location on home purchase decisions using a literature review. This approach involves reviewing, analyzing, and synthesizing various relevant literature sources, such as scientific journals, books, undergraduate theses, also previous investigation reports that discuss factors influencing home purchase decisions. The study concludes that price plays a positive also significant role in home purchase decisions, as consumers prefer homes with prices commensurate with their purchasing power and the quality offered. Location has also been shown to influence decisions, particularly when housing is conveniently situated at a key location  and the availability of public facilities. However, certain studies indicate that price and location are not always the primary determinants of decision-making, as other variables such as promotion, brand image, product quality, and lifestyle also play a role.

This study is motivated by the importance of economic growth as a key indicator of regional development performance and public welfare improvement. Economic growth reflects the ability of local governments to manage resources and implement effective fiscal policies. This research aims to analyze the development and the influence of Local Own-Source Revenue, General Allocation Fund, and Special Allocation Fund on the economic growth of regencies/cities in Jambi Province during the period 2020–2024. The study employs a quantitative approach combined with descriptive analysis. Secondary data are obtained from official publications of relevant institutions and analyzed using panel data regression with the Common Effect Model approach. The results indicate that Local Own-Source Revenue and the General Allocation Fund have a significant effect on economic growth, showing that the increase in regional revenue and fiscal transfers contributes to economic performance. Meanwhile, the Special Allocation Fund does not have a significant effect, indicating that its allocation may not be optimally utilized in stimulating regional economic activities. These findings imply that strengthening regional fiscal capacity and improving the effectiveness of fund allocation are essential to promote sustainable economic growth. The study also highlights the need for better policy coordination and efficient financial management at the regional level to reduce disparities and enhance development outcomes.