Publication Search

Industrialization has helped the economic growth and progress of many countries, but it is still understood about its effects on government, power structures, and social relations. The study investigates the impact of industrialization on these three components, with particular emphasis on Indonesia. Government has changed significantly as a result of industrialization, which has played an important role in driving industrial growth. To attract foreign investment, improve infrastructure, and improve the business environment, governments have implemented several policies, but there are concerns about their ability to oversee industry and protect the interests of local communities. In addition, the power structure has undergone significant shifts, with the emergence of new social classes and the consolidation of power among certain classes. The industrial sector has also created new opportunities for social mobility, but has also exacerbated economic and social disparities. To solve this problem, this study suggests that the distribution of wealth and power must be fairer. Industrialization, along with increased urbanization and urban growth, has had a significant impact on social relations. The study investigates how industrialization has affected social relationships, including its impact on family structures, community networks, and social identities. So, Indonesian government, power structure, and social relations are heavily influenced by industrialization. Although it has produced significant economic gains, it has also created new problems and differences. This research suggests that a deeper understanding of the impact of industrialization is vital, as are the policies needed to address the social and economic impacts of industrialisation.

The development of information technology in the modern era is increasingly rapid. and influences various aspects of life, including early childhood education. The Internet, as a component of information technology, connects computers around the world into a very large network, enabling instant and global exchange of information. This has a significant impact on Religious and Moral Competencies in AUD. The qualitative approach used in this research is a case study design at the Bung Karno State Kindergarten. Data was collected through classroom observations, semi-structured interviews with PAUD teachers, and questionnaires for parents or guardians of students. The research results show that technology, especially the use of gadgets, has a significant influence on the moral and religious values ​​of young children. Children who use technology excessively tend to have difficulty socializing, have apathetic behavior, and show signs of addiction. Challenges in teaching moral and religious values ​​​​include the difficulty of conveying abstract concepts to children who are still at the fundamental cognitive development stage. This research concludes that moral and religious education needs to be fostered from an early age to form quality character. Although technology can facilitate various activities, uncontrolled use can have a negative impact on children's moral and religious development. Therefore, parents, educators and other stakeholders need to do better to manage the use of technology and strengthen the education of moral and religious values ​​​​in early childhood.

Background: The rapid growth of warehouse automation and autonomous mobile robots has increased the need for adaptive navigation systems capable of operating safely and efficiently in dynamic industrial environments. Classical path planning algorithms such as A* and RRT perform well in structured settings but exhibit limitations when handling moving obstacles and environmental uncertainty. Objective: This study aims to develop and evaluate a reinforcement learning based navigation framework integrated with sensor fusion to improve path efficiency, collision avoidance, and robustness in dynamic warehouse scenarios. Method: An experimental research design was implemented combining high-fidelity simulation and real-world warehouse prototype testing. Deep Q-Network and Proximal Policy Optimization models were developed and trained using multi-sensor inputs from LiDAR, camera, and inertial measurement units. Performance was evaluated using path efficiency, collision rate, computational cost, and robustness metrics, with benchmarking against classical algorithms. Results: The results demonstrate that the Proximal Policy Optimization model achieved the highest path efficiency and lowest collision rate while maintaining stable computational performance under dynamic conditions. Reinforcement learning models significantly outperformed classical planners in adaptability and robustness, confirming their suitability for scalable industrial warehouse automation.

Architecture using tree topology has become a popular approach in managing computer networks. Tree topology combines elements of star and bus topologies, resulting in an efficient and scalable network for a variety of purposes. This paper discusses the basic concepts of architecture using tree topology, including hierarchical structures and design advantages. First, the tree topology consists of a parent node (root node) which leads to a number of branch nodes (branch nodes). Each branch node can then connect to other nodes, forming a multilevel hierarchy. In computer networks, this topology is often used to connect a number of LANs (Local Area Networks) into a larger network. The main advantages of tree topology are scalability and management efficiency. The network can be expanded by adding new branch nodes without affecting the rest of the network. Additionally, network monitoring and maintenance becomes more organized due to a clear hierarchical structure. However, tree topology also has disadvantages. If the parent node fails, then all parts of the network connected to that node can be affected. Additionally, complex implementations may require more sophisticated hardware and software. In the modern computing era, tree topologies are used in a variety of contexts, ranging from corporate network infrastructure to online content distribution. Its ability to provide an organized and extensible structure makes it an attractive choice in designing efficient and reliable network architectures.

To effectively comprehend human actions, we have developed a Deep Neural Network (DNN) that utilizes inner spatiotemporal non-locality to capture meaningful semantic context for efficient action identification. This work introduces the Top-Heavy CapsNet as a novel approach for video analysis, incorporating a 3D Convolutional Neural Network (3DCNN) to apply the thematic actions of local classifiers for effective classification based on motion from the spatiotemporal context in videos. This DNN comprises multiple layers, including 3D Convolutional Neural Network (3DCNN), Spatial Depth-Based Non-Local (SBN) layer, and Deep Capsule (DCapsNet). Firstly, the 3DCNN extracts structured and semantic information from RGB and optical flow streams. Secondly, the SBN layer processes feature blocks with spatial depth to emphasize visually advantageous cues, potentially aiding in action differentiation. Finally, DCapsNet is more effective in exploiting vectorized prominent features to represent objects and various action features for the ultimate label determination. Experimental results demonstrate that the proposed DNN achieves an average accuracy of 97.6%, surpassing conventional DNNs on the traffic police dataset. Furthermore, the proposed DNN attains average accuracies of 98.3% and 80.7% on the UCF101 and HMDB51 datasets, respectively. This underscores the applicability of the proposed DNN for effectively recognizing diverse actions performed by subjects in videos.

Computer networks are an important part of modern life, enabling the efficient exchange of information and resources between devices. One type of network topology that is commonly used is a bus topology. The bus topology has a simple structure and is easy to implement, making it an attractive choice for a variety of applications. The main finding of this research is that the bus topology has several advantages and disadvantages. The advantages of bus topology include low cost, ease of installation, and scalability. Disadvantages of bus topology include limited performance, low reliability, and the potential for data collisions.

PT PLN is one of the largest companies providing electricity services in Indonesia. PT PLN is responsible for electricity generation, transmission, and distribution activities throughout Indonesia. This includes providing all electricity-related needs to the community. One of the activities is maintenance work on substations and distribution networks. As the largest electricity company in Indonesia, occupational safety is something that needs to be considered in all its activities. HIRARC is one of the methods used to prevent work accidents. HIRARC is a method used to identify dangers from an activity in a systematic and structured manner that can cause risks and explains how to control risks so that they do not cause losses. There were 6 sources of danger and 9 risks in concrete substation maintenance work and 8 sources of danger and 11 risks in low-voltage network maintenance work. Risk assessments for both concrete substation maintenance work and low-voltage network maintenance found 3 categories of danger, namely moderate, high, and extreme. After implementing risk control, it was found that all types of work were in the low category. This shows that the HIRARC method is quite effective in applying substation and distribution network maintenance work at PT PLN UP3 Cengkareng.    

The implementation of Minister of State Apparatus Empowerment and Bureaucratic Reform Regulation Number 1 of 2020 regarding Guidelines for Job Analysis and Workload Analysis has been carried out. In Indonesia, workload analysis is important for determining the number of employees needed by the Surabaya Education Office so that the organizational structure can be efficient in carrying out its tasks. This study aims to evaluate the implementation of the Workload Analysis Application (ABK) on employee performance at the Surabaya Education Office. The research method used is descriptive qualitative using documentation, observation, and interviews. The ABK application is used to determine the needs of employees at the Surabaya Education Office. Data were collected through documentation, observation, and interviews. The results show that the procedure for using the Workload Analysis Application is in accordance with the guidelines set forth in the Ministerial Regulation. Human resources and infrastructure are quite good because socialization has been conducted to employees. Although the implementation is going well, there are still obstacles related to understanding the ABK filling format by some human resources and the need for additional computer facilities and improvements to an unstable network.

The rapid advancement of deep learning technologies has significantly transformed healthcare analytics, particularly in medical data prediction and classification. This study proposes a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM) framework for multi-modal healthcare data analysis, integrating medical imaging, structured electronic health records (EHRs), and IoT-generated time-series physiological signals. The proposed architecture combines spatial feature extraction through CNN with temporal dependency modeling via LSTM to enhance predictive accuracy and clinical decision support. A quantitative experimental design was employed, utilizing multi-source healthcare datasets that underwent preprocessing, normalization, and feature engineering prior to model training. The performance of the hybrid model was evaluated using Accuracy, Precision, Recall, F1-Score, AUC-ROC, and Mean Absolute Error (MAE), and compared with conventional machine learning models and standalone deep learning architectures. Experimental results demonstrate that the proposed CNN–LSTM model achieves superior performance, with improved classification accuracy and reduced prediction error, while maintaining strong generalization capability. The findings indicate that integrating spatial and temporal feature learning significantly enhances disease detection, risk stratification, and personalized treatment planning. This approach supports the development of intelligent clinical decision support systems and scalable smart healthcare environments. The proposed framework offers a reliable and efficient solution for advanced healthcare analytics in IoT-enabled systems.

Domestic violence remains a critical pastoral problem because survivors in church communities often face not only physical, psychological, sexual, and economic harm, but also spiritual narratives that may either sustain recovery or silence disclosure. This constructive qualitative study aims to formulate a Christian pastoral counseling model for survivors of domestic violence in church settings. The study applies a library-based practical-theological design by critically synthesizing peer-reviewed literature on intimate partner violence, faith-based responses, trauma- and violence-informed care, pastoral theology, Indonesian legal norms, and church-related studies. The findings show that pastoral counseling for survivors must be structured around safety rather than immediate marital reconciliation; interpret Scripture through dignity, justice, and protection of the vulnerable; recognize religious coercive control as a form of harm; integrate emotional stabilization with spiritual care; and build referral networks with psychological, legal, medical, and social services. The article proposes an integrated PASTORAL-SAFE model that combines risk assessment, survivor affirmation, trauma stabilization, theological reframing, social support, professional referral, perpetrator accountability, and long-term pastoral accompaniment. The implication is that churches need written protocols, trained pastoral teams, confidentiality standards, and collaborative safeguarding systems to prevent pastoral responses from unintentionally reproducing violence.

Nowadays, we have moved into the second oral era, enlivened by television and information technology. So the 'virtual world' grew which was supported by new tools with all the charming facilities. The changing reality of the world around us is a context that must be taken into account if we want to carry out faith preaching activities. The main problem of preaching in this era is not "what communication tools we should use" but "what kind of communication methods we need to use so that the message of faith is relevant to people living in the digital age." The Church recommends that pastors and people see positive opportunities from the media, while increasing awareness of the negative impacts of the media. It is not enough to simply use the media to spread authentic Christian messages and Church teachings. It is also necessary to integrate the Gospel message in the new culture created by modern communications. If the language of preaching which covers the entire appearance of the Church, its behavior, structure and attitudes is not updated, people today will not grasp the message conveyed by the Church. We must look for ways that can touch the sensibilities of modern society.

BRI Bank BRI Agent has become an integral part of the Indonesian government's efforts to increase financial inclusion across the country. This research investigates the risks, role and impact of BRILink agents in expanding access to financial services for the community, especially in remote areas and difficult to reach by conventional financial institutions. Through a qualitative approach involving in-depth interviews and secondary data analysis, this study describes various important aspects related to BRILink agents, including the distribution network, services provided, challenges faced, and their impact on financial inclusion. The findings show that BRILink agents have succeeded in expanding the reach of banking services, facilitating financial transactions, and increasing financial literacy among previously underserved communities. However, challenges such as limited technological infrastructure, high operational costs, and lack of awareness of the benefits of financial services are still obstacles that need to be overcome. Based on the results of this research, it is recommended that the government, regulators and other related parties continue to support and improve the BRILink agent ecosystem through supportive policies, structured training and continuous technological innovation. Thus, BRI Bank BRI agents have significant potential in realizing wider and more sustainable financial inclusion in Indonesia.

Technical advances in computer applications have led to the creation of these library information systems, which are anticipated to support and facilitate the human workforce. It is anticipated that this technology will help with daily tasks in an effective and efficient manner as well. The subject of this study is the library system. There are obstacles in UPT Library SMP 34 GRESIK, and one of them is that the library still uses its service manual procedures, indicating the need innovation and change in the form of a cohesive system to accompany and prepare children in the classroom The library service information system provided by this network-based library information system should make it easier for students to find information and check out books, as well as for librarians to manage information about books and student loans. The waterfall approach was used by the author. To create this internet-based library resource system. The process of implementing this library information system begins with soft requirement analysis, prioritizing the process of borrowing books. Waterfall design techniques are used throughout the design stage, which involves creating a database with MySQL and building a user interface. Relationships are built in the database architecture using Entity Relationship Diagrams and Logic Relationship database (Database) structures.

Social media (social media) has now become a part of the life of Indonesian people who are very phenomenal. Various kinds of advantages and conveniences are offered to interact with everyone both in terms of business even from various circles. Not only that, with the development of internet use and communication technology devices such as smartphones that are increasingly advanced, it has become one of the drivers of the growth of new networking sites that offer friends and information online. Social media has also become the backbone as a means of communication in this digital century. This study aims to determine students' perceptions about the extent of the use of social media in helping them learn English. English that is expected to be understood and learned is English in hospitality and also in advertising language. English that is expected to be understood and learned is English in hospitality and also in advertising language. This research is important to find out how students perceive the effectiveness of using social media to support their learning and understanding and creativity in the field of English for Hospitality and in compiling advertising language. A total of 50 students from the English Literature study program of Udayana University will be used as data sources in conducting this research. This research will use qualitative methods with a case study design. The use of questionnaires as well as semi-structured interviews will be carried out in collecting data. In analyzing the data will use a basic statistical model of the results of questionnaires on students. Meanwhile, the results of the interview data will be analyzed with the Flow model from Miles and Huberman.

Telkomsel is the leading provider of cellular telecommunications services in Indonesia based on market share. At the end of March 2008, Telkomsel had 51.3 million subscribers, which based on industry statistics represents an estimated market share of almost 51%. Telkomsel provides GSM cellular services in Indonesia, nationally via the dual band GSM network 900/1800 MHz and internationally via 288 international roaming partners in 155 countries (at the end of 2007. The aim of this research is to analyze the company's condition by looking at the financial ratios that describe company performance and analysis of the company's optimal capital structure. The data in this research is secondary data originating from the Central Statistics Agency, the Agency for the Application and Assessment of Technology, the Directorate General of Posts and Telecommunications and the Directorate General of Telematics Applications, Department of Communications and Information Technology. Data used in This research is data about the condition of the cellular telecommunications industry in Indonesia which includes expenditure, infrastructure, customers, human resources (labor). Data was taken from company condition reports (annual reports) PT. Telkomsel, PT. Indosat , and PT Excelcomindo for the quarterly period 2005-2008.

Besides the inherent benefits of exchanging information and interactions between nodes on a social graph, they can also become a means for the propagation of knowledge. Social graphs have also become a veritable structure for the spread of disease outbreaks. These and its set of protocols are deployed as measures to curb its widespread effects as it has also left network experts puzzled. The recent lessons from the COVID-19 pandemic continue to reiterate that diseases will always be around. Nodal exposure, adoption/diffusion of disease(s) among interacting nodes vis-a-vis migration of nodes that cause further spread of contagion (concerning COVID-19 and other epidemics) has continued to leave experts bewildered towards rejigging set protocols. We model COVID-19 as a Markovian process with node targeting, propagation and recovery using migration-interaction as a threshold feat on a social graph. The migration-interaction design seeks to provision the graph with minimization and block of targeted diffusion of the contagion using seedset(s) nodes with a susceptible-infect policy. The study results showed that migration and interaction of nodes via the mobility approach have become an imperative factor that must be added when modeling the propagation of contagion or epidemics.

This study explores the implementation of the SiskeuDes application in financial management in Pijot Utara Village. SiskeuDes, as a village financial information system, aims to improve the efficiency, transparency, and accountability of village financial management. This study identifies and analyzes the stages of SiskeuDes use, namely planning, implementation, administration, and reporting, and evaluates the advantages and disadvantages of the system in the village context. At the planning stage, SiskeuDes assists in the preparation of planning documents such as RKPDes and APBDes through village deliberations involving village officials and the community. This system supports the accuracy and efficiency of budget planning despite challenges such as network disruptions and HR skills. At the implementation stage, SiskeuDes facilitates verification and budget preparation and reporting, with the active role of the Village Secretary and the Village Financial Management Unit (UPKD). Financial administration has also progressed thanks to this system, which reduces the risk of manipulation and increases transparency. The reporting and accountability process is carried out in a structured and integrated manner with SiskeuDes, although there are obstacles in conveying information to the community. The advantages of using SiskeuDes include increased efficiency of financial recording and reporting, real-time transparency, and support for community participation. However, disadvantages include limited infrastructure, suboptimal HR skills, and challenges in delivering information to the community. Improvement efforts such as increasing training and improving infrastructure are being made to address these shortcomings. Overall, SiskeuDes has made a positive contribution to village financial management, but still requires adjustments to address the various challenges that exist.  

Land work (land clearing) in the Bunda Asri housing development project was carried out to meet the contours of the land so as to reach the planned contours, according to housing project data the volume of excavation work (cut) was 374,758.15 m³ and heap (fill) was 323,320.39 m³. The volume of excavation (cut) and embankment (fill) is divided into five sections of the earthwork area with a duration of work completion of 90 calendar days. Time constraints are the reason for project or work activities to be right on plan. Scheduling in this study uses the precedence diagram method (PDM) and is assisted by Microsoft Project software. A network that has definite dependencies and can be used in projects with overlapping activities between one another's work is called PDM. The results of the research analysis used the PDM method for the construction of Bunda Asri housing, namely 81 calendar days. which is faster than the estimate of the housing developer which lasted 90 calendar days. This happened because the grouping of work with a work breakdown structure and predecessors reduced the duration time and did not precede each other among other works.

For a Mall itself has a strategic location factor supported by road network access, visitors, exhibition activities, consumer needs as well as market demand, existing entertainment services, as well as those from the Mall itself. An advantage in itself will be the demand for a market and its management which may be felt to have more carrying capacity. From the development of Mall itself, which pampers the needs of a certain time. From the needs of a market obtained from exports or imports. As well as distances that are easy to reach by the people of Semarang themselves either via public transportation or private vehicles.

Song lyrics "Civilization", "News of Loss", and "Great Destroyer Dance" works. Feast became the subject of this investigation. The purpose of this study was to provide an overview of the structure of lyrics and social commentary. The Roman Ingarden hypothesis is used in this review to dissect the design of the verses of the dining experience. Theories of literary sociology were also used in this study to see how the lyrics of the song "Pesta" contained social criticism. The consequences of this study show that melodic verses work . Banquet acts as a vehicle for delivering analysis of real social factors that occur in the eyes of the public. In the melodic poems of "Peradaban", analysis is communicated on the development of the revolution, the unfair worldview, and prejudice that exists among the tight networks that are rife in Indonesia. The killers were criticized in the lyrics of the song "News of the Loss" because it has lost humanity and human values. The lyrics of the song "Dance of the Great Destroyer" forbid the application of Indonesian local wisdom and denounce pollution and environmental damage.