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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.

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.

This Community Service activity aims to foster a spirit of mutual cooperation and to assist local fishermen engaged in seaweed businesses in the processing and cleaning of their harvests in the Amal Beach Area, East Tarakan District. Seaweed harvested from the sea needs to undergo a thorough cleaning process to maintain its quality, ensure market readiness, and meet industry standards. The activity was carried out by six implementers who collaborated directly with the local fishermen through mutual cooperation, seaweed cleaning, and education on environmentally friendly sea product management. The implementation methods included field observation, guidance, and hands-on practice at the fishermen’s business locations to provide practical understanding. The results indicated improved efficiency in the seaweed processing chain, from cleaning to storage, thereby reducing the risk of damage and quality loss. Additionally, the fishermen’s awareness of the importance of maintaining cleanliness and the balance of coastal ecosystems increased significantly. This activity also strengthened social bonds between students and the fishing community, fostering harmonious communication, and instilling values of togetherness, environmental care, and social responsibility. The positive impact of this program is expected to serve as a sustainable model for sea product management while promoting a collaborative culture between academics and coastal communities.

The implementation of e-government is one of the local government's strategies in improving the quality of public services and realizing Good Governance. This study aims to analyze the implementation of e-government through the Tangerang LIVE Application as an effort to improve Good Governance in the Tangerang City Government. The research method used is a qualitative literature study approach through the search and analysis of various literature sources in the form of books, scientific journals, and official government documents related to e-government, the Tangerang LIVE Application, and the principles of Good Governance. This research analysis uses the Good Governance principles framework according to the United Nations Development Programme (UNDP), which includes transparency, participation, responsiveness, effectiveness and efficiency, and accountability. The results of the study indicate that the implementation of the Tangerang LIVE Application contributes positively to increasing public information disclosure, expanding public participation, accelerating government responses to public complaints, increasing the effectiveness and efficiency of public services, and strengthening the accountability of local government performance. However, there are several obstacles to achieving Good Governance through the Tangerang Live application and these obstacles become an evaluation of the Tangerang City government to innovate through e-government that supports the improvement of Good Governance in the Tangerang City Government. This study recommends strengthening digital literacy, improving institutional coordination, and sustainable system development to ensure optimal and inclusive e-government implementation.

This study aims to identify how e-government and competence affect employee performance at the Jambi City Regional Tax and Retribution Management Agency. This study is based on the fact that government agencies need to utilize information technology and improve their human resource capabilities to improve their work efficiency. The method used in this study is quantitative with multiple linear regression analysis techniques used. After the questionnaire was distributed to 54 members of the Jambi City BPPRD, the data were processed using the SPSS version 25 program. The results of the study indicate that e-government partially has a positive and significant influence on employee performance, and competence also partially has a positive and significant influence on employee performance at the Jambi City Regional Tax and Retribution Management Agency, and simultaneously, e-government and competence together provide a positive and significant influence on employee performance at the Jambi City Regional Tax and Retribution Management Agency.

Industrialization is an economic development process characterized by the growth of the industrial sector as a key driver of economic progress in Indonesia. Beyond its role in creating added value and enhancing national competitiveness, industrialization is closely interconnected with other strategic sectors, including agriculture, services, infrastructure, and employment. Strong linkages between industry and these sectors are essential to ensure that economic growth is inclusive and sustainable. This study aims to analyze industrialization strategies that integrate and strengthen relationships with other sectors in the development process. The research employs a literature review method using a qualitative descriptive approach. The data are derived from secondary sources, including scientific journals, research articles, policy reports, and official publications relevant to industrial and sectoral development. The findings indicate that industrialization strategies aligned with agriculture can increase productivity and value-added processing, while linkages with the service sector and infrastructure development can improve efficiency, distribution networks, and market access. Furthermore, integrated industrialization contributes significantly to employment creation and regional development, reducing economic disparities between areas. Therefore, the formulation of an industrialization strategy that is well-coordinated with other sectors is crucial to achieving balanced economic growth, strengthening structural transformation, and supporting sustainable development in Indonesia.

Cracker drying process is considered inefficient because it still depends on weather factors and manual supervision, which can affect the quality of the production results. To overcome this, a smart shrimpcrackerdryingdevicebasedonan Arduino Uno microcontroller with an automatic closing mechanism and an automatic container has been designed and built. This system is equipped with a rain sensor and an LDR sensor to detect weather conditions around the device, as well as a DHT11 sensor to monitor humidity in the cracker storage container. In addition, an ultrasonic sensor is used to automatically regulate the movement of crackers into the storage container after the drying process is complete. A DC motor controlled by a BTS7960 driver functions to move the cover roof and the cracker transfer mechanism, while a limit switch is used to limit the motor movement.Based on the test results, this device can work automatically Shrimp crackers are one of the typical food products widely produced by the people of Bunga Karang Village, Tanjung Lago District, Banyuasin Regency. The traditional shrimp following changes in environmental conditions, thereby increasing the efficiency of the drying process and maintaining the quality of shrimp crackers produced by the residents of Bunga Karang Village.

This research investigates the execution of data-informed and inclusive regional development planning within the Regional Development Planning Agency (Bappeda) of Sidoarjo Regency, concentrating on four analytical aspects: data integration and management abilities, the efficiency of participatory processes, technical and institutional obstacles concerning interoperability, and capacity-building strategies for facilitators tasked with translating public aspirations into planning priorities. The study is positioned within the national framework to establish evidence-based and participatory planning in reaction to the growing complexity regional development. Despite Bappeda Sidoarjo implementing multiple data platforms and participatory channels such Musrenbang forums, online submission systems, and sector-specific information systems the results indicate that issues like data fragmentation, insufficient digital literacy, and ineffective follow-up mechanisms continue to impede planning effectiveness. Employing qualitative methodology that includes in-depth interviews, observation, and document review, the research reveals that data integration has not reached single source of truth because of the lack of a cohesive data architecture and compatible standards among government entities. Participatory methods have increased inclusivity, but the quality of proposals and verification processes is still variable, hindering the incorporation of grassroots feedback into planning priorities. Moreover, the ability of facilitators the subdistrict and village levels is crucial in determining the quality of the compiled proposals. The research ends by highlighting the importance of improved data governance, increased actor capability, revised participatory processes, and clear follow-up mechanisms. Suggestions encompass constructing a unified data framework, offering ongoing technical training, standardizing digital Musrenbang processes, and establishing publicly available proposal-tracking system integrated within the yearly planning cycle.

This study discusses the relevance and role of hybrid learning strategies as a conceptual solution to the crisis of effectiveness in traditional fiqh learning in Islamic boarding schools in the digital age. The background of this study stems from the problem of declining efficiency and interactivity of classical learning methods such as sorogan and bandongan amid technological developments that demand pedagogical innovation. This study aims to analyze theoretically how the integration of traditional pesantren values and modern learning approaches can be applied without eliminating spiritual identity and scientific sanad. The method used is library research with a descriptive-analytical approach through a review of the latest scientific literature on Islamic education and hybrid learning. The results show that a hybrid learning model based on synchronous and asynchronous approaches can increase flexibility, effectiveness, and student participation in the learning process, while maintaining personal relationships with teachers. The theoretical implications enrich the concept of integrating Islamic education and technology, while the practical implications offer an adaptive curriculum model for Islamic boarding schools to respond to the challenges of the digital age without abandoning Islamic values.

This study conducts a Systematic Literature Review to examine the relationship between job enrichment, the Human Resource Information System, and work–life balance on organisational performance through the mediating role of innovative work behaviour, with a particular focus on medium-scale Micro, Small, and Medium-Sized Enterprises. Drawing on Scopus-indexed publications from 2020 to 2025, the review identifies theoretical and empirical findings that highlight the importance of human resource practices and digital transformation in strengthening organisational innovation. The analysis reveals that job enrichment significantly enhances employee autonomy, engagement, and intrinsic motivation, which in turn fosters innovative work behaviour. Likewise, the Human Resource Information System contributes to performance improvement by increasing decision-making efficiency and supporting data-driven innovation processes. Meanwhile, work–life balance promotes creativity and reduces stress, thereby fostering an environment conducive to innovative thinking. Furthermore, innovative work behaviour is found to mediate the relationship between human resource practices and organisational performance by transforming individual innovation into collective organisational outcomes. These findings indicate that integrating the Human Resource Information System with job enrichment and work–life balance policies can substantially enhance the competitiveness and productivity of medium-scale Micro, Small, and Medium-Sized Enterprises. This study contributes to theoretical advancement in innovation-oriented human resource management and offers practical implications for developing adaptive human resource systems to ensure sustainable business performance in the digital era.

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

This study aims to analyze tax planning for Income Tax (PPh) Article 21 using the net, gross, and gross-up methods to minimize Corporate Income Tax at the Nahdlatul Ulama Hajj Guidance Foundation in Kediri City. Corporate Income Tax is a tax imposed on income received or obtained by an entity, so an appropriate tax planning strategy is needed in accordance with applicable tax regulations. This study uses a quantitative approach with primary data sources in the form of financial reports and payroll data of the foundation. Data analysis techniques include calculating PPh Article 21 using the three methods, fiscal reconciliation, and calculating Corporate Income Tax. The results of the study indicate that there are significant differences in tax burdens between the net, gross, and gross-up methods. The gross-up method results in a lower Corporate Income Tax burden compared to the net and gross methods because tax costs can be deducted fiscally. Thus, the application of the gross-up method is considered more effective in tax planning and can be used as a strategic alternative for foundations in optimizing tax burden efficiency without violating applicable tax regulations.

This research examines the influence of road infrastructure development on local economic growth in Medan City, emphasizing its role in improving accessibility and supporting economic activities. Road infrastructure is a vital component of regional development, as it facilitates the movement of goods and services, reduces transportation costs, and enhances connectivity between economic centers. Well-developed road networks can stimulate business expansion and encourage investment by creating a more efficient economic environment. The study employed a descriptive quantitative approach using field surveys involving 20 respondents, including business actors, local residents, and government representatives. Data were collected through structured questionnaires and analyzed descriptively to capture perceptions regarding the economic impact of road infrastructure development. The results indicate that improvements in road quality, capacity, and connectivity have a positive influence on local economic growth. Respondents reported increased trade activities, improved access to markets, higher investment opportunities, and rising community income levels as direct benefits of improved road infrastructure. However, the study also identified several challenges that may hinder long-term economic outcomes. Traffic congestion, uneven infrastructure development across areas, and inadequate routine maintenance were highlighted as significant issues. These problems can reduce efficiency and limit the sustainability of economic gains. Therefore, continuous government commitment, effective maintenance strategies, and equitable distribution of infrastructure development are essential. Strengthening coordination among stakeholders is also necessary to ensure that road infrastructure development supports inclusive and sustainable local economic growth in Medan City.

The development of sustainable tourism facilities is one of the important efforts in increasing the attractiveness of destinations while preserving the environment. This study aims to analyze the implementation of ecological concepts in the development of glamping facilities in the Pearl Beach tourist area. The method used is a descriptive qualitative approach, with data collection through field observations, interviews with managers and tourists, and literature studies related to ecotourism principles and sustainable design. The results of the study show that the application of ecological concepts in glamping facilities in Mutiara Beach includes the use of environmentally friendly materials, integrated waste management, the application of energy efficiency, and designs that integrate the natural landscape without damaging the coastal ecosystem. The application of this concept not only improves the comfort and experience of tourists, but also contributes to increasing environmental awareness and strengthening the positive image of tourist destinations. In addition, this ecologically-conceptual glamping development model is expected to be a reference for the development of sustainable tourism facilities in other coastal areas, which prioritizes nature preservation and the welfare of local communities.

Artificial Intelligence (AI) has become a significant driver of innovation in the banking sector, especially in the context of post-pandemic digital transformation. AI is widely utilized in areas such as fraud detection, credit evaluation, risk management, and customer interaction, attracting considerable interest from both academics and industry professionals. This research explores the recent advancements in AI within the banking industry, focusing on studies published between 2020 and 2025. A bibliometric approach is employed, using data from the Scopus database and bibliometric tools like VOSviewer and R Studio to visualize keyword networks and track emerging trends. The study aims to identify influential authors, journals, and countries contributing to AI research in banking. By analyzing these developments, the research highlights the contributions of AI to improving operational efficiency, data security, and financial inclusion, particularly in the Indonesian context. This work offers valuable insights into the ongoing integration of AI in the banking sector and its potential to shape future financial services, emphasizing its relevance to both global and regional markets.

Corporate value plays a crucial role in evaluating the success and sustainability of a business entity, influenced by various internal factors such as special connections, transfer pricing practices, and the effective tax rate (ETR). This study aims to examine the impact of these variables on the value of companies in the property and real estate sector on the Indonesia Stock Exchange, and to examine the role of corporate social responsibility (CSR) as a moderating variable. The study's findings reveal that special relationships and less transparent transfer pricing practices generally decrease company value, while efficiency in ETR can increase it. CSR acts as a moderating factor, strengthening the positive relationship between internal variables and company value while reducing the negative risks of unethical practices. This study recommends the implementation of more solid governance and transparency in business activities to increase competitiveness and company value in the Indonesian property and real estate industry.

Queueing systems play an important role in evaluating service performance, especially in small-scale businesses such as barbershops, where fluctuating customer arrival patterns and limited service capacity often lead to long waiting times. This study aims to analyze the performance of barbershop services using the M/M/1 queueing model and an analytical approach based on experimentally tested arrival (λ) and service (μ) rates. The model was selected because it represents a single-server system with Poisson arrivals and exponentially distributed service times, closely matching real barbershop operational characteristics. Using assumed realistic parameters, the analysis shows that when λ = 12 customers per hour and μ = 6 customers per hour, the system becomes unstable with a utilization rate (ρ) exceeding 1, indicating continuous queue growth. Further simulations with increased service rates demonstrate significant improvements: at μ = 15, the system achieves ρ = 0.8 with an average waiting time of 16 minutes, while at μ = 13, the system remains stable but experiences a long waiting time of approximately 55 minutes. These findings emphasize that barbershop performance is highly sensitive to service speed and that even small increases in μ can produce substantial improvements in queue stability and customer waiting times. The study concludes that barbershops must ensure adequate service capacity—either through optimizing service duration, improving worker efficiency, or adding servers—to maintain service quality and enhance customer satisfaction.

This study aims to analyze the implementation of financial reporting and evaluate the economic performance of Koperasi Simpan Pinjam dan Pembiayaan Syariah (KSPPS) Nur Insani during the period from 2022 to 2023. A descriptive qualitative method was employed, utilizing secondary data from the Statement of Financial Position, Cash Flow Statement, and Operating Results Report published by the cooperative. The findings indicate that KSPPS Nur Insani has implemented a computerized financial recording system, which enhances accuracy, transparency, and operational efficiency. However, the cooperative experienced significant financial pressure in 2023, as indicated by decreases in cash and cash equivalents, total assets, and temporary syirkah funds, both short-term and long-term. These declines reflect weakened liquidity and reduced fundraising capacity from members. Despite these challenges, the cooperative succeeded in increasing its Net Operating Results (SHU), demonstrating effective revenue management and operational cost control. Overall, the profitability of KSPPS Nur Insani remains positive, yet strategic improvements are necessary, particularly in strengthening liquidity management, increasing funding sources, optimizing asset utilization, and enhancing digital system implementation to support better financial governance. These strategic efforts are expected to improve business sustainability and maintain member trust in the future.

This study evaluates the Cageur Jasa Health Service Program at the Tanah Tinggi Public Health Center in Tangerang City, which was developed as an innovation to expand access to basic healthcare services through home visits. The program aims to improve service quality, strengthen family independence in maintaining health, and support the achievement of the 12 indicators of the Indonesia Healthy Program with a Family Approach (PIS-PK). The evaluation applies William N. Dunn’s six policy evaluation criteria effectiveness, efficiency, adequacy, equity, responsiveness, and appropriateness supported by theoretical frameworks from public administration, public policy, and health service innovation. This research employs a qualitative descriptive method, with data collected through observation, in-depth interviews with informants, and secondary data analysis. The findings indicate that the program’s implementation has not fully achieved its intended objectives, as evidenced by declining service coverage, several PIS-PK indicators remaining below 50%, increasing disease findings, and the persistence of maternal and infant mortality cases. Limitations in resources, coordination, infrastructure, and suboptimal promotive and preventive efforts further hinder the program’s effectiveness. Overall, the study concludes that although Cageur Jasa contributes to improving healthcare access, its implementation at the Tanah Tinggi Public Health Center remains suboptimal and requires continuous improvement.

Automatic motorcycle spare part sales have increased along with the high use of automatic two-wheeled vehicles in the community. To support optimal sales strategies and stock management, customer purchasing pattern analysis is required. This study uses the FP-Growth algorithm to identify association patterns between automatic motorcycle spare part products that are frequently purchased together. FP-Growth was chosen because of its ability to efficiently find frequent itemsets without the need to generate candidate itemsets as in the Apriori algorithm. Transaction data is processed to form an FP-Tree which is then extracted to find relationships between items. The analysis results show combinations of products that frequently appear together, such as brake pads and engine oil, which can be used as a basis for compiling sales packages, product placement, and product recommendations. By implementing the FP-Growth algorithm, spare part stores or workshops can improve service and efficiency in sales management.