With the rise of digital technology, early childhood education is experiencing a significant transformation. This paper explores how technology tools such as interactive apps, e-learning platforms, and digital toys can enhance learning experiences in young children. The study assesses both the benefits and challenges of incorporating technology in early education, focusing on cognitive development, social skills, and creativity. The findings highlight that, when used appropriately, technology can support children's learning while fostering their curiosity and engagement.

Human resource management (HR) in the government sector, especially in the Public Works and Spatial Planning Agency (PUPR) of North Sumatra Province, has a crucial role in determining the effectiveness and efficiency of public services. However, HR management in government agencies still faces various challenges, such as complex bureaucracy, lack of innovation, and employee competency gaps. This study aims to analyze the challenges in HR management and the factors that influence employee performance in order to formulate strategies for optimizing HR management in the government sector. Using qualitative research methods, data were obtained through interviews, document studies, and literature reviews. The results of the study indicate that a rigid personnel system, lack of competency development, and a recruitment and promotion system that is not fully performance-based are the main factors that hinder the effectiveness of employee work. Therefore, reforms are needed in the HR management system, such as improving the recruitment, promotion, and rotation mechanisms of employees, strengthening competency development policies through adaptive training programs, and implementing a performance evaluation system based on objectivity and transparency. With this optimization strategy, it is hoped that employee performance at the PUPR Office of North Sumatra Province can improve, so that public services become more effective and professional.

Access to healthcare remains a significant challenge in rural areas, especially for children. This paper explores the role of telehealth in providing healthcare services to rural children, particularly in remote areas with limited medical infrastructure. The study examines telemedicine technologies, such as remote consultations, diagnostic tools, and health monitoring systems, and their impact on improving healthcare access and outcomes for children in underserved communities.

Poverty is a fundamental problem that has become the center of attention in several aspects, for example from the government. The government needs poverty data and analyzes it to determine which poverty alleviation programs should be delivered to the right target or the poor. The aim of this study is to determine the accuracy of the classification of poverty in Batang District using the Neural Network method using the chi square feature selection. The dataset used in this study uses poverty data sourced from the Batang district BPS based on the results of the Susenas survey (National Economic Survey) for the 2022 time period. The results of this study indicate that the accuracy obtained for poverty classification using a neural network is 96.38% , with a precision value of 100%, and a recall value of 89.38%. Whereas when using a neural network with feature selection chi square, it gets an accuracy value of 93.68%, with a precision value of 91.07%, and a recall value of 90.26%. The contribution of this research is to develop a neural network method using feature selection chi square to improve the results of the accuracy of the classification is not poor or poor.  

Vehicle detection is the artificial intelligence that can help us in transportation highway systems like counter vehicles passing through the road on Eid Mubarak day etc. The object in this case is divided into six classifications there are car, motorbike, van, truck, and three-wheel. On the dataset vehicle is mostly an image of a car that we get from Kaggle. To solve vehicle detection problems such as poor vehicle detection and reduced detection accuracy, we provide a new vehicle detection with a dataset at kaggle. The clustering process consists of steps in which input images are transformed into morphometrics. The next step is to classify the image data using the K-Means algorithm. The images grouped by this detection are vehicles. The first step is to determine the randomly drawn mean or center point of two image data values ??in the database. If there is no data transfer, the group is considered stable and group creation is completed. Seven vehicle image data are used to test this application. And the result of our experiment on vehicle detection is about 85.7 % accurate

Law Number 5 of 1960 concerning the Basic Agrarian Principles Article 5 states that customary law in the context of land sale and purchase adheres to the principles of clarity and cash payment. Therefore, the drafting of a land sale and purchase deed is not mandatory to require full payment as long as both parties agree. However, this often leads to legal issues later, including cases where the seller commits a breach of contract (default). For this reason, the author conducted this study with the following research questions: 1. What are the legal consequences of the sale and purchase deed concerning default in land sale and purchase transactions carried out by the buyer? 2. How is the legal protection for the seller in the event of a default in a land sale and purchase transaction? The theories used to address these research questions are, first, the theory of agreements, and second, the theory of legal protection. This study employs normative legal research. The research approaches used include a legislative approach and a case approach. The legal material collection technique involves identifying and inventorying positive legal regulations, books, journals, and other legal material sources. Legal material analysis techniques are conducted through grammatical interpretation and legal construction methods. The research findings indicate that land sale and purchase transactions under the principles of clarity and cash payment allow for the drafting of sale and purchase deeds even though the transaction has not been fully paid by the buyer. This creates an opportunity for the seller to commit a breach of contract in such transactions, revealing a lack of preventive legal protection for the buyer. The legal consequence of the sale and purchase deed is that it lacks legal force if it can be proven that a breach of contract occurred during its drafting.

The aim of this study is to determine whether the application of health protocol security, employee competence, and service quality during the covid-19 pandemic could affect customer satisfaction toward MRT transportation. This research is included in descriptive quantitative. The sample is taken by total sampling technique with a total of 100 respondents who use MRT transportation. Data collection technique in this research uses questionnaire. Statistical analysis is carried out with the help of the Partial Least Squares Structured Equestrian Model (PLS-SEM) program. The results of this study are (1) the health protocol security (X1) has a significant positive effect toward customer satisfaction, (2) employee competence (X2) has a significant positive effect toward customer satisfaction, and (3) the quality of service (X3) has a significant positive effect on customer satisfaction. Therefore, it can be concluded that all the independent variables in this study have an effect on the related variables. From the results of this study, the researchers hope that in order to increase the satisfaction of MRT users, the MRT can improve the security of health protocols, employee competence, and service quality.

Introduction: Government public relations ideally conveys policies and regulations in an integrated manner (one government one voice), but in reality there is often different and contradictory information in each government institution, thus confusing the public and hindering the handling of the pandemic. This research answers the question of how the crisis narrative is built by 5 (five) central government institutions in Indonesia through their official websites, whether the narrative tends to be integrated or vice versa.

Methods: The method used in this study is qualitative content analysis where the author collects all news materials on 5 (five) official websites of government agencies, namely: the Covid-19 Task Force, the Ministry of Information and Communication, the Ministry of Health, the Cabinet Secretariat and the State Secretariat, in March-August 2020.

Findings: Data were analyzed based on the principles of crisis and emergency risk communication (CERC) as a reference for coherence (integration) of narratives between institutions. The results of the study indicate that CERC principles are used comprehensively by the five institutions studied. In general, the narratives built by the five institutions tend to be integrated on the issues: (1) the narrative of the initial responding; (2) the narrative of handling and controlling; (3) the narrative of helping and caring; (4) the narrative of regulating and advising.

Originality: The study has novelty in the application of crisis communication based on the CERC principles of the Covid-19 pandemic which is viewed comparatively in the narratives of 5 (five) Indonesian government institutions.

Introduction: Child-free is a person's decision not to have children. Child-free is a new value for the people of Indonesia. Gita Savitri Devi is an influencer who announced via Instagram and YouTube that she has decided to be child-free. This statement then caused controversy in the community. As a result, some parties are pro and contra against child-free.

Methods: The method used is a qualitative method with a reception analysis approach. This study uses Stuart Hall's reception theory which divides the audience's meaning into dominant positions of hegemony, negotiation, and opposition.

Findings: The results divide into four: accepting and desiring child-free, accepting and respecting child-free choices, opposing child-free discourse, and the audience trying to be neutral toward child-free discourse. The background behind the meaning is the place of residence, religion, education, occupation, and lifestyle owned by the audience, with the most common background tendency being the background of living. The reception in this study is that four informants are in a dominant position of hegemony, two informants are in a negotiating place, and one informant is in an opposition position, with the tendency of informants to be in a dominant part of hegemony.

Originality: The results of this study can reveal how the audience interprets child-free discourse, which is a new perspective. In addition, it can be a development material for further researchers in examining the other side of the child-free phenomenon that has not yet appeared in this study.

Pangandaran District is a newly formed region in West Java Province. Effective and competitive regional development requires support from the potential leading sectors in a region. Prioritization is needed because of limited resources that cannot facilitate the development of all sectors simultaneously. This analysis aims to identify leading sectors, sector interconnections, and multiplier effects on the economy of Pangandaran Regency. The results are that there are 5 (five) sectors that are comparatively and competitively superior, namely: (1) Accommodation, Food and Drink Providers, (2) Agriculture, Forestry and Fisheries (3) Transportation and Warehousing, (4) Wholesale and retail trade , Repair and (5) Real Estate. The largest backward linkages are achieved by the "other services" sector. This sector becomes a lever for the development of its own sector. Meanwhile, the largest forward linkages are agriculture, forestry, and fisheries. The output from the agricultural sector is widely used as an input by other sectors. Agriculture, forestry and fisheries sectors are key sectors. This is because agriculture, forestry, and fisheries have the largest intersectoral linkages and dispersal index. The “Other services” sector is the largest output multiplier. The sector with the largest GRDP multiplier is agriculture, forestry and fisheries. Proper allocation of resources can be done by prioritizing the leading sectors to improve the regional development of the Pangandaran District.