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The development of digital technology has driven significant changes in people's transaction patterns, including the increased use of app-based financial services. This study aims to analyze the role of the DANA app in increasing the convenience of cashless transactions in Indonesia. The method used was a literature review, analyzing journals, reports, and official documents related to the use of digital wallets and the development of DANA services over the past three years. The results show that DANA contributes to accelerating transaction processes, increasing accessibility to financial services, and providing secure and efficient payment features. Features such as QRIS, flexible balance top-ups, instant transfers, and integration with various public and commercial services have proven to facilitate users' cashless transactions. However, challenges remain, including unequal digital literacy, data security risks, and network limitations in some regions. Overall, the DANA app plays a crucial role in accelerating the digital payment ecosystem and increasing transaction convenience for the Indonesian people.

Islamic architecture in the archipelago cannot be understood as simply a transfer of physical forms from the Middle East to Southeast Asia. It is the result of a deep cultural dialogue between universal Islamic principles and local wisdom that has been formed since pre-Islamic times. When Islam spread in the archipelago, it did not exist as a force that negates Hindu, Buddhist, and vernacular traditions, but rather proceeded through visual and structural synthesis that gave birth to a distinctive and hybrid Islamic architectural identity. One of the most iconic manifestations of this process is the use of overlapping roofs in historic mosques such as the Great Mosque of Demak and the Great Mosque of Banten. Different from typical Persian or Mediterranean stone domes, this multi-storey wooden structure is inspired by the concept of Meru in Hindu-Javanese architecture. The choice is not only symbolic, but also a functional adaptation to the tropical climate, as it allows for efficient rainwater disposal as well as optimal natural ventilation. Spatially, the placement of mosques follows the concept of Catur Gatra Tunggal, which is the integration of mosques with squares, government centers, and markets. This pattern reflects the integration between the spiritual, political, and economic life of the community. In the interior, the use of Saka Guru shows the appointment of local construction techniques as the main element of worship buildings. Aspects of syncretism are also seen in ornamentation, where pre-Islamic figurative motifs are transformed into flora and calligraphy patterns that are in harmony with the principles of Islamic aniconism. Thus, the archipelago's Islamic architecture represents Islam as an inclusive and contextual force that is able to process local traditions into a sustainable new identity.

The instability of the climate is becoming increasingly prominent across Southeast Asia, creating uncertainty in agricultural systems that are highly dependent on seasonal weather patterns. Indonesia, where rice remains the primary staple food, is particularly vulnerable to the effects of rising temperatures and rainfall deficits. This study applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) model to predict rice production while incorporating indicators of extreme climate anomalies. Using publicly available datasets, including FAOSTAT production statistics, NOAA rainfall and temperature anomalies, and climate indices from the World Bank, this model was developed following the Box-Jenkins procedure. Among the configurations tested, the SARIMA model (1,1,1)(0,1,1)₁₂ showed the strongest performance, reflected in a MAPE of 4.62% and low RMSE values. The model indicates that significant El Niño events can reduce annual rice production by 3–7%, while wetter La Niña conditions may support production recovery. These findings highlight the importance of integrating climate-sensitive data into agricultural forecasting. The model presented here could support early warning systems, adaptive farming strategies, and long-term food security planning in Indonesia.

This study aims to analyze and synthesize research findings related to the integration of Buddhist values in the development of interactive learning media. The research employed a qualitative approach using a systematic literature review method on fifty selected articles published between 2018 and 2025. Data were collected through a structured process of identification, screening, and extraction from primary sources consisting of accredited national journals and reputable international journals. The data were analyzed using thematic and comparative synthesis techniques to identify patterns, effectiveness, and research gaps. The results show that interactive learning media based on Buddhist values can enhance students’ motivation, moral understanding, and engagement through the use of technologies such as gamification, educational animation, augmented reality, and mobile applications. The effectiveness of these media is strongly influenced by the alignment between Buddhist ethical principles, instructional design, and the cultural context of learning. Furthermore, the study reveals that the successful integration of spiritual values into digital media depends on educators’ readiness, digital literacy, and technological infrastructure support.

Background: The increasing complexity of industrial production systems requires machine condition monitoring solutions that are capable of operating in real time with high accuracy and responsiveness to support predictive maintenance strategies. Conventional cloud based monitoring systems often experience limitations such as high latency and dependence on stable network connectivity, which can delay decision making processes in critical industrial operations. Objective: This study aims to design and evaluate an Industrial Internet of Things (IIoT) architecture based on edge computing to improve the efficiency of industrial sensor data processing and accelerate anomaly detection in industrial machines. Method: The research adopts an experimental approach by designing a system architecture consisting of a sensor layer, edge computing layer, and cloud layer. Industrial sensors, including vibration, temperature, and current sensors, continuously collect machine operational data, which are then processed locally at the edge node using a machine learning based anomaly detection algorithm. System testing is conducted in a simulated manufacturing environment to evaluate performance based on latency, reliability, and detection accuracy. Results: The results indicate that edge based data processing significantly reduces latency compared with cloud-based processing and enables faster responses to machine condition changes. Additionally, the implemented anomaly detection algorithm achieves high accuracy in identifying abnormal sensor data patterns.

Sea cucumbers (Holothuroidea) are marine organisms of high ecological and economic value, yet their populations in many tropical regions have declined due to exploitation pressures. This study aimed to analyze the density and distribution patterns of sea cucumbers in the coastal waters of Tuhaha, Saparua Island, Central Maluku Regency. A quantitative descriptive survey was conducted using 1 × 1 m quadrat transects along eight transect lines perpendicular to the shoreline. Density was calculated based on the number of individuals per unit area, while distribution patterns were determined using Morisita’s index. Four species of sea cucumbers were identified, namely Holothuria scabra, Holothuria atra, Bohadschia vitiensis, and Bohadschia marmorata, with a total of 33 individuals and an overall density of 0.19 ind/m². Species H. scabra exhibited the highest density (0.11 ind/m²), whereas H. atra and B. vitiensis had the lowest (0.01 ind/m²). The population distribution was aggregated (Id = 6.11), indicating a strong association with specific microhabitats, particularly muddy-sand substrates. Environmental parameters (temperature 30°C, salinity 30 ‰, pH 6.90) remained within the optimal tolerance range for sea cucumbers. These findings indicate that Tuhaha waters continue to support Holothuroidea populations; however, the aggregated distribution pattern reflects vulnerability to overexploitation. Therefore, ecosystem-based management through habitat conservation, catch restrictions, and the integration of aquaculture and restocking is essential to ensure the sustainability of sea cucumber resources in Central Maluku.

This study developed the Weton-Based Leadership Model as a leadership framework that integrates Javanese cultural values from the weton system with modern leadership theories, such as transformational, servant, charismatic, and situational leadership. Using a postmodern paradigm with an exploratory qualitative approach, this study utilizes pattern matching and explanation building methods through in-depth interviews with cultural experts and human resource management practitioners, as well as analysis of Javanese cultural documents. The results of the study identify five key components in the model, namely self-awareness, value alignment, situational adaptability, team harmony, and risk governance. These five components interact with each other to form contextual leadership that is in harmony with personal identity, organizational culture, and environmental demands. The practical implications of this study include the use of weton as a reflective instrument in recruitment, personalized leadership development, and the strengthening of an inclusive organizational culture. Further research is recommended to test this model in various industrial contexts through quantitative methods and longitudinal approaches.

Objective– This article aims to comprehensively examine the main types of food crop pests and their attack patterns through a systematic literature review approach. The research focuses on the dynamics of pest attacks, changes in ecological patterns due to climate change, and advances in modern identification technology that enable more accurate early detection. This study also highlights the significance of new paradigms of pest identification based on artificial intelligence (AI), genomics, and landscape mapping in supporting food security at the regional and national levels. Design/methodology/approach– This study used the Systematic Literature Review (SLR) method for scientific publications from 2015–2025 from reputable sources such as Scopus, Web of Science, PubMed, ScienceDirect, SpringerLink, Taylor & Francis, Wiley, AGRIS, and Google Scholar. Of the 326 articles identified in the initial stage, 30 articles in English and Indonesian were selected through a screening process based on strict inclusion–exclusion criteria. All articles were then analyzed using thematic coding techniques to produce an in-depth, evidence-based synthesis. Findings– The study produced four key findings: (1) there are five dominant pests in global food crops, namely Thrips tabaci, Spodoptera exigua/frugiperda, Helicoverpa armigera, Nilaparvata lugens and Sitophilus oryzae; (2) attack patterns are strongly influenced by temperature, humidity, pesticide resistance, and monoculture; (3) modern identification technology AI, drone imagery, multispectral sensors, and DNA Barcoding have increased detection accuracy to 94–98%; and (4) community-based early warning systems accelerate field response and reduce the risk of crop failure. Practical implications– These findings provide a scientific basis for local governments, agricultural extension workers, and farmers to gradually adopt pest identification technology and strengthen integrated monitoring systems at a regional scale. Authenticity/value– This article offers a new conceptual model of “Pest Identification Pyramid – Attack Pattern – Early Warning System” that integrates pest biology, digital technology, and community response to improve national food security.

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.

Tuberculosis (TB) is one of the infectious diseases that remains a public health problem in Indonesia, including in West Java Province, which has a large population and high mobility. This condition has the potential to increase the risk of transmission and cause variations in the distribution of cases between districts and cities. This study aims to map the distribution of TB cases across all districts and cities in West Java Province from 2022 to 2024 using a spatial analysis approach. This analysis was conducted to describe the geographical distribution of cases, identify patterns of spread, and determine areas with relatively high or low case rates. TB data was obtained from routine recording and reporting by health facilities in West Java, then integrated with population and administrative boundary data. The results of the analysis provide information on case distribution patterns between regions and trends in case changes from year to year. The findings of this study are expected to serve as a basis for local governments in formulating more targeted TB prevention and control strategies, through a focus on interventions in areas with a high case burden, as well as optimizing sustainable public health programs in West Java Province.  

The development of the digital era has triggered a significant transformation in consumer shopping patterns, which have now shifted from conventional retail to Quick Commerce (Q-Commerce). This article analyzes the phenomenon of changing consumer behavior driven by preferences for speed, practicality, and time efficiency, with the COVID-19 pandemic as the main catalyst. The study highlights that the success of Q-Commerce is highly dependent on Logistics Service Quality (LSQ), particularly in terms of timeliness, courier interaction quality, and order condition. Despite offering convenience that disrupts physical retail, this business model faces serious sustainability challenges, including high last-mile operational costs, difficulty achieving profitability leading to the closure of several market players, and intense competition from hybrid retail models. In addition, traffic safety issues and increased carbon emissions are highlighted as social and environmental impacts. This study concludes that while Q-Commerce holds great potential, its sustainability requires strategic innovations that balance service speed with cost efficiency and ecological responsibility.vThe development of the digital era has triggered a significant transformation in consumer shopping patterns, which have now shifted from conventional retail to Quick Commerce (Q-Commerce). This article analyzes the phenomenon of changing consumer behavior driven by preferences for speed, practicality, and time efficiency, with the COVID-19 pandemic as the main catalyst. The study highlights that the success of Q-Commerce is highly dependent on Logistics Service Quality (LSQ), particularly in terms of timeliness, courier interaction quality, and order condition. Despite offering convenience that disrupts physical retail, this business model faces serious sustainability challenges, including high last-mile operational costs, difficulty achieving profitability leading to the closure of several market players, and intense competition from hybrid retail models. In addition, traffic safety issues and increased carbon emissions are highlighted as social and environmental impacts. This study concludes that while Q-Commerce holds great potential, its sustainability requires strategic innovations that balance service speed with cost efficiency and ecological responsibility.

Regional development faces dynamic challenges amid rapid economic growth driven by natural resource extraction. This study aims to identify leading economic sectors, analyze structural economic transformation, and evaluate the role of these sectors in regional development. The research employs a quantitative method with a descriptive approach. Secondary data consist of Gross Regional Domestic Product (GRDP) at constant prices over the past five years. The analytical techniques applied include Location Quotient analysis to identify base sectors, Shift-Share analysis to assess structural changes as well as comparative and competitive advantages, and Klassen Typology to classify sectoral growth patterns. The results reveal a structural shift from primary sectors, such as agriculture and fisheries, toward secondary sectors, including mining and manufacturing. Despite challenges related to development equity, these leading sectors serve as key drivers of regional economic growth. To maximize the contribution of leading sectors to broader regional development, this study recommends that government policies prioritize the strengthening of intersectoral linkages.

Welfare for the poor is the most important topic in improving citizens. Islam as Ad-diin has offered several teachings for humans that apply universally with two dimensional characteristics, namely happiness and well-being in life in this world and in the hereafter. In the concept of the modern world, welfare is a condition where a person can fulfill basic needs, be it the need for food, clothing, shelter, clean drinking water as well as the opportunity to continue education and have adequate work that can support the quality of life so as to have a social status that leads to the same social status as other citizens. ZIS as an extension of the government in helping the needs of the poor with the aim of improving the welfare of the community who initially as zakat recipients turned into zakat givers, so that later the funds used will be evenly distributed and felt by the wider community. as well as purifying assets that may be accidentally mixed with assets that are forbidden for consumption. The urgency of ZIS in Sidowungu is one of the main elements of effective and efficient zakat management in order to realize the welfare of the community. As for the discussion of this article about the welfare pattern for the poor as the process of distributing ZIS funds in Sidowungu Village. The method used in this article is a quantitative approach. The subjects of this study were 165 poor people in Sidowungu Village, while the sample size was 65 poor people using probability sampling. The results of the study, processed using the PASW SPSS 23 for Windows program, showed that partial test results for H0 were rejected and H1 was accepted if the calculated t value was greater than the table t value or the sig value was less than 0.05. This means that the distribution of funds partially affected the welfare of the poor in Sidowungu Village. The magnitude of the influence between variables can be seen from the coefficient of determination of 0.079, meaning that 79.0% of the welfare of the poor in Sidowungu Village was influenced by the distribution of ZIS funds, while the remaining 21.0% was influenced by other variables not included in this study.

Contemporary church ministry is often trapped in a seasonal pattern, with increased activity only during major events like Christmas and Easter, while stagnating at other times. This phenomenon indicates a fundamental problem in leadership patterns that are not poverty-oriented. This article analyzes the roots of seasonal church ministry through a qualitative-descriptive approach and theological reflection based on Osmer's framework. Literature reviews by Barna, Maxwell, Banks & Ledbetter, as well as the leadership principles of Jesus Christ, show that seasonality is eliminated by reactive leadership that lacks a long-term vision, minimal spiritual training, and a weak ministerial cadre system. As a solution, this article offers a sustainable leadership model that emphasizes a year-round discipleship vision, ministerial training and regeneration, systematic ministry evaluation, and the spiritual example of leaders. This model is believed to help churches experience stable growth, establish a consistent ministry rhythm, and present relevant evidence to the world. Thus, sustainable leadership is a strategic and theological approach to addressing seasonal ministry and strengthening the mission of the church today.

The rapid advancement of digital technologies and Artificial Intelligence (AI) has fundamentally reshaped the management and development of the tourism industry. Digital transformation strategies offer substantial opportunities to enhance destination competitiveness while simultaneously supporting economic, social, and environmental sustainability. This study aims to systematically examine the role of digital transformation and AI in strengthening sustainable tourism competitiveness through a literature review approach. A total of 42 peer-reviewed journal articles published between 2019 and 2025 were analyzed, drawing from Scopus, Web of Science, and Google Scholar. The analysis employed thematic synthesis to identify dominant patterns, conceptual relationships, and emerging themes across the literature. The findings indicate that AI-driven digital transformation enhances operational efficiency, enables personalized tourist experiences, supports data-informed resource management, and facilitates the development of smart tourism destinations. Nevertheless, persistent challenges related to human resource readiness, digital inequality, data governance, and ethical considerations remain evident. This review provides an integrated conceptual perspective on digital transformation and AI in sustainable tourism competitiveness and offers insights for policymakers, practitioners, and future research.

Growing life expectancy continues to shift global demographic patterns and significantly increase the proportion of older adults, thereby creating an urgent need for innovative programs that promote wellbeing, maintain functional capacity, and encourage meaningful social participation. This community service initiative aimed to strengthen both motor and cognitive function among older adults through structured and interactive board game activities designed to stimulate thinking, coordination, and social interaction. The program employed a mixed descriptive approach, utilizing interviews, direct observation, and brief assessments conducted before and after the intervention period. Cognitive status was measured using the Mini Mental State Examination (MMSE), while muscle strength was assessed through Manual Muscle Testing (MMT) to capture changes in physical performance. Quantitative analysis revealed no statistically significant differences between pre-test and post-test scores (p > 0.05). Nevertheless, qualitative findings demonstrated meaningful positive changes, including increased motivation, more active participation, improved emotional responsiveness, enhanced social interaction, and greater awareness of brain–body coordination among participants. These findings indicate that although short-term measurable changes were limited, board game–based activities can provide valuable psychosocial benefits. When implemented repeatedly and consistently as part of routine programs, such activities may contribute to maintaining cognitive engagement, supporting emotional wellbeing, and fostering a more active and participatory lifestyle among older adults.

This research is motivated by the low level of discipline among elementary school students, characterized by non-compliance with rules, tardiness, and other negative behaviors, thus requiring the role of Pancasila and Citizenship Education (PPKn) as a strategic solution. This research aims to examine the role of PPKn learning in shaping the discipline of elementary school students through a library research approach. This research method uses a systematic and comprehensive library research method to assess the contribution of PPKn learning in forming the discipline of elementary school students (SD). The main focus is on national scientific sources in Indonesian and English languages from the period 2020-2025, with the aim of identifying patterns and strategies of PPKn learning towards improving student discipline in SD. The study results show that PPKn learning is effective in internalizing discipline values through habituation, teacher exemplification, continuous evaluation, and the use of innovative learning media such as educational videos. The involvement of teachers, schools, and parents is an important factor in supporting the formation of student discipline character, with strategies such as family collaboration and group supervision to overcome external challenges. This research provides a theoretical contribution as a basis for developing applicable PPKn learning strategies to form a disciplined generation in elementary schools. The implications of this study indicate that PPKn learning has a strategic role in shaping the discipline of elementary school students, thus requiring synergy between teachers, schools, and parents to optimize the internalization of character values in every learning activity.

The main objective of the Citizenship Education (PKn) course in higher education is to develop students into individuals with nationalist, participatory, and critical characters towards national dynamics. Conventional learning approaches that are still dominant in higher education, such as one-way lectures and memorization of materials, are considered less able to encourage active participation and the development of critical thinking patterns of students in the Citizenship Education (PKn) course. This study aims to identify the effectiveness of the application of innovative learning methods in improving students' activeness and critical thinking skills. Using a descriptive qualitative approach, data were collected through classroom observations, interviews with lecturers and students, and analysis of lecture documents from three study programs at Merdeka University of Malang. The results of the study showed that the application of learning strategies such as Project Based Learning, role playing, utilization of interactive multimedia, collaborative discussions, and nationality-based simulations were able to significantly increase students' participation and critical understanding. This method is relevant to the needs of learning in the era of globalization that demands digital literacy, cross-disciplinary collaboration, and contextual problem solving. Based on these findings, this study recommends the integration of innovative methods into the Civics curriculum in higher education, pedagogical training for lecturers, and the provision of technological infrastructure that supports the implementation of competency-based learning in the era of globalization.

This study aims to analyze the perceptions of students from various majors regarding the urgency of legal protection for the Napoleon wrasse (Cheilinus undulatus), a rare and endangered marine species that plays a crucial role in maintaining the balance of coral reef ecosystems. This fish faces serious pressure due to overexploitation and illegal trade, thus requiring special attention from a legal and conservation perspective. This study used a qualitative descriptive approach with purposive sampling technique, involving students from marine, fisheries, environmental, and legal departments. Primary data were collected through a questionnaire designed to elicit respondents' insights, level of understanding, and recommendations regarding the protection of this species. The data obtained were then analyzed using thematic analysis to identify patterns of perception and key ideas. The results showed that the majority of students considered legal protection for the Napoleon wrasse to be very urgent. They advocated for strengthening regulations, stricter law enforcement, increased surveillance in water areas, education for coastal communities, development of conservation and cultivation programs, and strengthening international cooperation. The implications of this study emphasize the importance of a comprehensive and collaborative protection strategy to support the sustainability of marine resources.

This community service activity was conducted at Grind Now Coffee Bar, an MSME in Batam City’s food and beverage sector, to address challenges in managing raw material inventory, which often led to inaccurate stock records, shortages, and overstocking, affecting daily operations and efficiency. The program aimed to improve inventory management by applying the Economic Order Quantity (EOQ) and Reorder Point (ROP) models, providing a systematic and measurable approach to procurement. Activities included detailed observation of operational practices, interviews with staff to understand current challenges, collection of data on raw material usage and purchasing patterns, and the implementation of a website-based inventory control system to streamline record-keeping and monitoring. The results showed that EOQ and ROP models helped determine optimal order quantities and appropriate reorder timing, while the inventory system improved organization, reduced errors, and enabled real-time stock monitoring. Overall, this intervention enhanced decision-making, promoted operational efficiency, and supported the sustainability and competitiveness of Grind Now Coffee Bar.