Publication Search

Gadgets greatly impact the pattern of human life both in terms of mindset, taste patterns and behavior patterns. The use of gadgets in everyday life does not only have an impact on the thoughts, feelings and behavior of adults, but children are also not spared from its impact. Child attachment early in life can be directed at someone who has nothing to do with child rearing, but it can happen tosomeone the child chooses as the object of attachment. The purpose of this study was to find out whether there is a correlation between people's attachment to early childhood gadget addiction at Early Childhood Education. This research is a descriptive research. Total population of 30 people. A sample of 30 people was taken by total sampling technique. The research instruments used were the IPPA questionnaire and the smartphone addiction test questionnaire for mobile motoring. Bivariate analysis using the Chi Square Statistical Test. The results showed that the respondents had high attachment to their parents, namely 16 children (53.3%), moderate attachment of 7 children (23.3%), and low attachment of 7 children (23.3%). From the results of the smartphone addiction test questionnaire for mobile motoring, it was found that 15 children (50.0%) were not dependent on gadgets, 4 children had mild dependence (13.3%), 3 children were moderately addicted (10.0), and 8 children were addicted. (26.7%). Based on the Chi Square test, it is known that the P Value is 0.004 with α 0.05. Because the significance value is < α, H0 is rejected and H1 is accepted, which means that there is a correlation between parents and early childhood attachment to gadget addiction at PAUD Intan, Asembagus village kraksaan. It is hoped that the results of this research can be used as input for parents regarding the importance of accompanying children so that children do not experience gadget addiction.

Development is the increasing ability of the body to structure and function more complexly, in an orderly and predictable pattern. One of the aspects that assist the adequacy of child development is parents' support. One of the factors that influence the development of toddlers is stimulation. Stimulation is trigger that comes from the child's external environment. The purpose of this study was to determine whether there is a relationship between maternal stimulation and the development of pre-school children aged 3-5 years. This research is a correlational analytic study with a cross sectional approach. They were taken using a complete sampling approach on a population of 30 persons and a sample of 30 people. The research instrument used was a questionnaire. The frequency distribution is used for univariate data analysis, and the Fisher’s Exact Test alternative is used for bivariate data analysis. The result showed that 22 mothers provided good stimulation and 8 mothers gave less stimulation. From the results of the KPSP, it showed that there were 20 children with appropriate development, 4 children with doubts, and 6 children with deviations. Based on the Fisher’s Exact Test alternative, it was known that the P value is 0.000 with α 0.05. Because the significance value is <α, then H0 is rejected and H1 is accepted, indicating that there is a correlation between stimulation and the development of pre-school children aged 3-5 years in KB RA Umi Sundari Kraksaan, Probolinggo Regency. It is hoped that the results of this study would help parents who have children give adequate stimulation for their children's growth.

This study was conducted to observe and implement midwifery care provided to Mrs. M who was 25 weeks pregnant in Dusun Mong, Pujut District, Central Lombok Regency, from June 21 to July 4, 2019. The mother had a history of 4 pregnancies, 2 deliveries and 1 pregnancy. Her pregnancy condition was normal, but she experienced Chronic Energy Deficiency (CED). After receiving PMT supplements in the form of biscuits for 2 weeks, there was an increase in the Upper Arm Circumference (LiLA).

According to the World Health Organization (WHO), in 2022 there will be 148.1 million children under the age of 5 who are too short compared to their age (stunting), 45.0 million children who are too thin compared to their height (wasting), and 37.0 million children too heavy for his height (overweight). This research aims to determine the relationship between the role of Posyandu cadres and the prevention of stunting cases among mothers of toddlers in the Gedang Village Community Health Center Work Area in 2024. This type of research is quantitative and analytical with a cross-sectional study approach. The sampling technique used in this research was the Accidental Sampling technique. The population in this study was all Posyandu cadres in the Gedang Village Health Center Work Area, totaling 42 people with a sample of 42 people. The location of this research was carried out in the Gedang Village Community Health Center Work Area and was carried out in January-July 2024. The results showed that more than half of 24 (57.1%) of the respondents had a poor role as Posyandu Cadres and more than half of 30 (71.4%) respondents with poor prevention of stunting cases in mothers who have children under five with statistical test results (Chi-Square) obtained p-value 0.003. The research conclusion shows that there is a relationship between the role of Posyandu cadres and the prevention of stunting cases in mothers who have children under five. The researchers' suggestions from the research results can be applied in daily nursing practice, such as providing health education regarding the prevention of stunting in mothers who have children under five. As a reference for the Gedang Village Community Health Center in conducting a review of the role of posyandu cadres in preventing stunting cases by always providing health education to mothers

This research aims to analyze the application of decorative principles in drawing the Mandailing gorga by class VII students at Nurul Ilmi Private Middle School. This research uses a qualitative descriptive method with data collection techniques form of experimentation, observation and documentation. The research results show that students understanding of the principles decoration, such as composition, motifs, stylization and media is still relatively low. This is caused by a lack of time allocated for arts and culture lessons and a lack students understanding of the local gorga Mandailing. The work produced by students does not fully reflect the optimal application of decorative principles, both from a technical and aesthetic perspective. This research concludes that learning fine arts based on local wisdom requires a more focused approach, adequate time, and more innovative methods to increase students' understanding and creativity in creating art.

Signature verification is crucial for confirming the authenticity of identities in both administrative and financial transactions, where signature forgery can lead to significant security risks. The Harris Corner Detector Algorithm is a widely used method for feature extraction in image processing; its application spans various domains, such as detection of signature forgery. While effective in identifying key features, noise significantly affects performance, especially with impulse noise like salt-and-pepper noise commonly found in signature images. To solve this problem, this study enhances the Harris Corner Detector Algorithm by applying a median filter before gradient calculation. This method removes noise without sacrificing the integrity of key features important in signature forgery detection. The study evaluates the original and the enhanced algorithm using standard image quality metrics. Peak Signal-to-Noise Ratio (PSNR) surged from an average of 13.6 dB to 43.28 dB, the Structural Similarity Index (SSIM) improved significantly from 78% to 94%, and the Mean Squared Error (MSE) dropped substantially from 16.74 to 3.84. These advancements resulted in a more reliable algorithm, exhibiting excellent resistance to noise while maintaining image structure, making the enhanced algorithm highly effective for accurate signature forgery detection.

Customer satisfaction is a crucial indicator in assessing the quality of a company's products, services and overall experience. This research aims to identify the level of customer satisfaction and optimize the available data for effective use in sentiment analysis. In this study, we analyzed 4,353 customer reviews collected over the past year, with 3,481 reviews used as training data and 871 reviews as testing data. The analysis process was conducted using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach and leveraged the Logistic Regression algorithm to build a predictive model. Model evaluation using the confusion matrix yielded an accuracy of 94.60%, a precision of 94.26%, and a recall of 94.60%. The analysis was conducted using Jupyter Notebook and the Python programming language. The results indicate that sentiment analysis is effective in identifying and predicting customer satisfaction levels, which in turn can help a company’s products improve its service strategies. The optimization of previously underutilized data now provides deeper insights into customer perceptions and expectations, enabling the company to make more targeted decisions and enhance overall customer satisfaction.

The purpose of this study is to evaluate the deficiencies in the learning of accounting software at STIE Ganesha. This study will concentrate on factors that potentially hinder the integration of accounting software into the college curriculum. This research started in October 2024. Accounting students at STIE Ganesha are the research subjects. Qualitative research was conducted and data was collected through in-depth interviews. The results showed that learning accounting software has several problems. One of them is the lack of supporting resources and lack of technological infrastructure. In addition, students face difficulties in understanding and accessing accounting software required to meet the needs of the working world. To produce more efficient accounting software learning, this research emphasizes increasing resource capacity and improving supporting infrastructure. This research is expected to help STIE Ganesha develop methods to improve software-based accounting learning.

Micro, Small and Medium Enterprises (MSMEs) are an important sector in the Indonesian economy. However, many MSMEs face obstacles in accessing digital technology to improve competitiveness and innovation. With the development of the Smart City concept, which integrates technology to improve quality of life and access to public services, MSMEs in areas that adopt it have the opportunity to utilise digital technology. Madiun City, as part of the Smart City initiative, has great potential in developing an inclusive digital ecosystem for MSMEs. This research aims to formulate an effective website development model for MSMEs in Madiun City, to support product innovation and marketing and improve competitiveness in the digital market. The analysis shows that website development can improve MSME competitiveness and innovation, with benefits such as wider market access and integration with digital marketing technology. However, the main challenges faced are limited digital knowledge, development costs, and security threats. Therefore, support from the government and related institutions is needed to provide training and resources for sustainable website management.

The Cuckoo Search Algorithm (CSA), while effective in solving complex optimization problems, faces limitations in random population initialization and reliance on fixed parameters. Random initialization of the population often results in clustered solutions, resulting in uneven exploration of the search space and hindering effective global optimization. Furthermore, the use of fixed values for discovery rate and step size creates a trade-off between solution accuracy and convergence speed. To address these limitations, an Enhanced Cuckoo Search Algorithm (ECSA) is proposed. This algorithm utilizes the Sobol Sequence to generate a more uniformly distributed initial population and incorporates Cosine Annealing with Warm Restarts to dynamically adjust the parameters. The performance of the algorithms was evaluated on 13 benchmark functions (7 unimodal, 6 multimodal). Statistical analyses were conducted to determine the significance and consistency of the results. The ECSA outperforms the CSA in 11 out of 13 benchmark functions with a mean fitness improvement of 30% across all functions, achieving 35% for unimodal functions and 24% for multimodal functions. The enhanced algorithm demonstrated increased convergence efficiency, indicating its superiority to the CSA in solving a variety of optimization problems. The ECSA is subsequently applied to optimize earthquake evacuation space allocation in Intramuros, Manila.

The A* Algorithm is a path-finding algorithm that primarily uses weighted graphs and focuses on the heuristic values of nodes. However, while effective in generating a near-optimal path in a static environment, the traditional algorithm faces limitations in navigating dynamic environments, often resulting in collisions due to its inability to recognize dynamic and moving obstacles. This limitation makes it inefficient especially in complex environments with real-world scenarios. To address these limitations, an Enhanced A* Algorithm is proposed. This algorithm utilizes Navigation Mesh data structure to generate a more optimal route with local path planning and to dynamically adjust the parameters in two-dimensional non-grid environments. The performance of the algorithms was evaluated using 12 benchmarks, each corresponding to a distinct test case and levels of complexity. Then, in terms of dynamic obstacle avoidance, a comparison between the Enhanced A* Algorithm and the traditional algorithm was conducted. Statistical analyses were also performed to assess the consistency and validity of the findings. The results demonstrated that the Enhanced A* Algorithm successfully avoided all dynamic obstacles and moving objects encountered along the path in all distinct test cases. In contrast to the traditional algorithm, which achieved an average obstacle avoidance rate of 8.33%, the enhanced algorithm consistently demonstrated a 100% average obstacle avoidance rate. The enhanced algorithm outperformed the traditional A* algorithm in generating a path in a complex environment by exhibiting optimal dynamic obstacle recognition and avoidance. The Enhanced A* Algorithm is subsequently applied to autonomous vehicle parking, following standard parking restriction laws.

This study explores the integration of facial recognition and GPS technology to enhance attendance management systems in educational institutions. By employing a two-layer verification process that combines face validation and location validation, the proposed system addresses common challenges of traditional attendance methods, such as proxy attendance and inefficient data management. The system not only improves accuracy and security but also provides valuable insights into attendance patterns through location-based analytics. Despite its advantages, the research highlights the need to address challenges related to data privacy, security, and user acceptance for successful implementation. Overall, this study contributes to the development of modern attendance management solutions, demonstrating the potential for increased efficiency and effectiveness in educational environments.

This research aims to examine the use of loan words as teaching material for Indonesian Language for Foreign Speakers (BIPA) in mastering vocabulary. This research is motivated by the development of the Indonesian language, one of the processes of which is through loanwords. Data was obtained from various sources such as scientific journals, books and relevant articles. Data analysis was carried out qualitatively with a focus on identifying main themes, patterns and relationships between various variables in the literature that had been collected. The results of the research show that loan words can be used as BIPA teaching materials which are useful for facilitating understanding and enriching vocabulary for BIPA learners. Loan words originating from various languages such as Arabic, Dutch, English, Sanskrit, Portuguese, French, Chinese, Japanese, Persian, Greek, Hindi and others are proof that Indonesian is adaptive and open to other languages. The strategies used for BIPA learning using loanwords include cognitive approaches, use in daily conversations, introduction to grammatical concepts, and approaches to daily contexts, academic use, and use in the field of technology.

Makeup brushes are essential to help apply makeup. One of the commonly used brushes is the eyeshadow blending brush. Makeup brushes predominantly use synthetic base materials, but human hair can be an alternative replacement. This study aims to determine the manufacturing process, validation of product feasibility, and the level of public favourability. The process of making blending brush eyeshadow consists of the preparation stage of tools, materials, and manufacturing steps. In this study, researchers used observation, literature, experimentation, documentation, and questionnaire methods. The results of the feasibility test based on the three expert validators, validator 1 gave a score of 10 on product 1 and product 2 which means feasible, validator 2 gave a score of 12 on product 1 which means feasible and product 2 gave a score of 8 which means quite feasible, validator 3 gave a score of 12 on product 1 which means feasible and product 2 gave a score of 11 which means feasible, so it can be concluded that human hair can be used in making blending brush eyeshadow. Trials are needed to improve the texture of the hair so that it is smoother and does not hurt when used.

Ready To Wear Fantasy Knight Princess The combination of Batik through Aesthetic Studies in Japanese Culture was taken because it was inspired by anime, manga and other stories in Japanese culture with a storyline of a tough princess. That is why the author interested in making a dress that suits the heroine. Even though, it has a simple design and beautiful batik motif but the clothes worn were suitable with the chivalrous spirit. Uniting Indonesian culture with Japanese culture by having aesthetic value on batik motifs. Making Ready To Wear Fantasy Princess Knight has the aim of knowing the suitable of batik motifs into fantasy clothing. This study used a qualitative method which described descriptively. Making Ready To Wear fantasy has the same steps of making clothing as other clothing manufactures. The process of making clothing includes, 1) determining the design, 2) preparing tools and materials, 3) applying measurements, 4) making basic patterns, 5) cutting materials, 6) painting fabrics, 7) merging materials, 8) ironing upholstery, 9 ) sewing clothes, and finishing to become the desired clothing. The process of making tasel ropes in ready to wear fantasy needs to be stretched one by one so that it gets neat results. Besides, when making cloth painting in the ironing process it must be at normal temperature and covered with fabric.

Schizophrenia is a serious mental illness that affects the way a person thinks, feels and behaves. People with schizophrenia seem to lose touch with reality, which can be distressing for them, their family and friends. The prevalence of schizophrenia according to Riskesdas in 2018 shows that the prevalence of schizophrenia is 6.7 per 1000 homes. The 52-year-old man was taken by his family because he was angry. The patient felt angry with his family why he was taken by his family to the hospital because the patient felt he was not crazy and had not hit anyone, then the patient spoke distractedly. The patient also said that he received whispers telling him to leave the house. The patient believes that all dead people will give strength to plants or all living creatures around the dead person's grave. Based on the history, physical examination and supporting examinations, the patient was diagnosed with F20.0 Paranoid Schizophrenia. Therapeutic management was carried out in the form of psychopharmaceuticals in the form of Risperidone 2x2mg and psychotherapy for the patient.

This article discusses improving speaking skills in undergraduate PGSD students at Muhammadiyah University of Makassar (Unismuh Makassar), especially in Advanced Indonesian Language Learning courses. This research aims to identify the challenges faced by students in improving their speaking skills and propose solutions that can be applied in the learning process. The method used is qualitative research with a case study approach, which involves observation, interviews and document analysis. The research results show that the main challenges faced by students are lack of self-confidence, limited vocabulary, and the inability to organize arguments systematically. The proposed solutions include the application of effective communication techniques, the use of technology-based learning media, and the habit of speaking in public to increase self-confidence. It is hoped that this research can make a positive contribution to the development of speaking skills of PGSD students at Unismuh Makassar, as well as becoming a reference for teaching Indonesian in tertiary institutions.

The aim of this activity is to provide understanding to buffalo breeders regarding the importance of implementing biosecurity in preventing disease transmission in livestock, increase breeders' awareness of biosecurity measures that must be taken in the livestock environment, and equip breeders with practical knowledge about ways to prevent disease through implementation of biosecurity. This activity was carried out using an outreach method involving the community and the Head of Syota Hamlet and his staff. The methods used in this activity are: Material Presentation and Interactive Discussion. Some common biosecurity applications are access control, animal movement control, cleanliness and sanitation, waste management, health monitoring and vaccination. This socialization activity was successfully attended by around 35 people in the program target area. Most breeders showed an increased understanding of the importance of implementing biosecurity after following the socialization. Farmers claim to be ready to implement biosecurity measures such as quarantining new livestock, managing livestock waste, and providing good sanitation in the livestock environment. Some farmers also asked for further assistance regarding more specific biosecurity implementation, such as how to properly vaccinate livestock. In this socialization, several biosecurity measures were emphasized to be applied to buffalo livestock, including: quarantine of new livestock, cleanliness of pens and the environment, prevention through vaccination, waste management, protection of workers and visitors.

Flexibility exercises (muscle stretching) are physical exercises that aim toimprove and develop some motor skills. Given the importance of musclestrength in the skill performance of discus throwing for people with disabilities,the longer the muscle, the greater the force it gives, which is directlyproportional to the distance achieved by the thrower. The ability of the muscle tostretch, which reaches half the length of the muscle, gives greater strength andspeed to the arms when performing. This comes through some exercises for thethrower's arm that contribute positively to this aspect. The aim of the study wasto identify the effect of muscle stretching exercises on the peripheral speed ofthe throwing arm and achievement in discus throwing for people withdisabilities in the F34 category sitting. The hypothesis of the research was thatthere were statistically significant differences between the pre- and post-tests inthe peripheral speed of the throwing arm and achievement in discus throwing forpeople with disabilities in the F34 category sitting, in favor of the post-test. Theresearcher used the experimental method using the single-group method, andmuscle stretching exercises were used for the throwing arm to increase its abilityto develop peripheral speed as well as achievement. The exercises continued for(6) weeks with (3) training units per week. After conducting the post-tests, theresearcher concluded:

The main focus of this research is to examine data storage efficiency methods, algorithm scheduling, and resource usage optimization techniques. This research uses literature study methods and simulation experiments to analyze system performance. The research results show that storage management methods based on deduplication and data compression have significant efficiency in reducing storage space requirements. The implications of this research include improving cloud system performance and reducing operational costs.