Purpose: This research emphasizes the need to map villages' conditions and identify village potentials, evaluate the effectiveness of development capability, and address the rural-urban development gap with clustering algorithms. The study employs the village development index (IPD) indicators obtained from the village potential dataset, with various numerical and categorical indicators, to capture both tangible and intangible aspects of village potential. Challenges such as missing data and outliers in IPD data collection can be found. The study aims to evaluate the effectiveness of clustering algorithms, with integrated and separated imputation processes, in handling these data issues and to track the development of villages in the Bogor Regency, West Java, Indonesia, based on the village’s potential (PODES) dataset.
Methods: Three clustering algorithms, such as k-prototype, simple k-medoids, and Clustering of Mixed Numerical and Categorical Data with Missing Values (k-CMM) are compared. The pre-processing data, which is the imputation process for the first two algorithms, is conducted separately, while the k-CMM has an integrated imputation process. Both imputation stages are tree-based algorithms. Cluster evaluation is based on internal criteria and external criteria. Clusters resulting from the k-prototype and simple k-medoids are selected by internal validity indices and compared to k-CMM using external validity indices for several numbers of clusters (k = 3,4,5).
Result: According to data exploration, the IPD of Bogor Regency, West Java, Indonesia dataset contains ± 5% of outliers and six missing values in some chosen variables. Tree-based imputation methods are applied separately in k-prototype and simple k-medoids, jointly in k-CMM. Based on the elbow and gap statistics methods, this research aims to determine the optimum number of clusters k = 3. The internal validity indices performed on k-prototype and simple k-medoids resulting in three clusters (k = 3) are optimum. Trials on several clusters (k = 3,4,5) for three algorithms show that the k-prototype with k = 3 performs the best and is most stable among the two other algorithms with IPD datasets containing many outliers; external validity indices evaluate cluster results.
Novelty: This research addresses issues commonly found in mixed datasets, including outliers and missing values, and how to treat problems before and during cluster analysis. An improvement of Gower distance is applied in the medoid-based clustering algorithm, and the k-CMM algorithm is the first algorithm to integrate the imputation process and clustering analysis, which is interesting to explore this algorithm’s performance in clustering analysis.

This research aims to evaluate and compare the performance of several deep learning architectures, especially InceptionV3 and InceptionResNetV2, with other models, such as EfficientNetB3, ResNet50, and VGG19, in classifying rice leaf diseases. In addition, this research also evaluates the impact of using data augmentation on model performance. Three different datasets were used in this experiment, varying the number of images and class distribution. The results show that InceptionV3 and InceptionResNetV2 consistently perform excellently and accurately on most datasets. Data augmentation has varying effects, providing slight advantages on datasets with lower variation. The findings from this research are that the InceptionV3 model is the best model for classifying rice diseases based on leaf images. The InceptionV3 model produces accuracies of 99.53, 58.94, and 90.00 for datasets 1, 2, and 3, respectively. It is also necessary to be wise in carrying out data augmentation by considering the dataset's characteristics to ensure the resulting model can generalize well.

The focus of the article is to describe the use of a HOTS-based learning model that can improve the problem solving abilities of students in elementary schools as well as strategies that can be used in implementing HOTS learning in the classroom. This research uses a literature study method by examining several sources from journals and books related to the use of the HOTS-based learning model in improving the Problem Solving abilities of students in elementary schools. This research uses the Systematic Literature Review (SLR) method or literature review by systematically identifying journals. The steps in the SLR method are 1) Develop Research Questions, 2) Selection Criteria, 3) Developing The Search Strategy, 4) The Study Selection Process, 5) Appraising the Quality of Studies.

Furniture raw materials are still a major challenge in the industry, in line with the wishes of consumers to get good quality raw materials and soaring export demand, so there is a need for a control process to monitor the value of products using forecasting. The purpose of this study was to predict gross domestic product in the furniture industry in Indonesia in 2022. This study used secondary data on the quarterly trend of gross domestic product in the furniture industry in Indonesia 2010-2021 taken from the research industry data processed by BPS and Bank Indonesia, The method used is Double Exponential Smoothing-Holt. The results of the calculation using the double exponential smoothing-holt method obtained a value of ? of 0.658 and ? of 0.008 where the forecasting results for the 2022 period, namely the 1 quarter of 7.602 billion rupiah, quarter 2 of 7.676 billion rupiah, quarter 3 of 7.749 billion rupiah, and quarter 4 of 7.822 billion rupiah. Where the MAPE value is 0.737% which means forecasting has very good results.

Fatherless is a phenomenon which is define as the absence of the father’s role in parenting both physically and psychologically. In married life, disputes and conflicts cannot be avoided so they require trust and commitment to each other. Disputes in family life can have positive impacts, one of which is adjustment to the household environment. However, it cannot be denied that disputes can also threaten the continuity of a marriage, such as divorce. In cases of divorce, fatherless can also appear in children who are victims of divorce. Divorce results in them not being able to feel their father’s presence and his role in accompanying their growth and development. The aim of this research is to describe the fatherless phenomenon and provide an analysis of the fatherless phenomenon regarding family relationships. The research method in this article is to use a descriptive method using literature study data collection techniques. The results of the research show that the phenomenon of fatherlessness can be the cause of parents divorcing, which is due to the lack of the father’s presence in the family so that children experience an absence of figures which can cause conflict in the household and lead to divorce. However, children can also experience fatherlessness after the divorce of their parents, which is due to the lack of time for communication between the child and his father, which indicates the absence of a father figure

Elections or general elections have an important role in determining the future of the nation by electing leaders and officials who are directly elected by the people and for the people. Democracy is the main factor in holding elections as people are free to choose according to their conscience without any coercion or threat. However, the process of implementing elections in Indonesia still experiences obstacles such as the white group (golput) who choose to give up their voting rights in determining the future of the nation. Therefore, we provide solutions and suggestions that can be used to reduce the percentage of the white group by means of election education, voting training, encouraging political parties to be more active, using the media to publish information about elections, election monitoring, research and opinion surveys as described in this research article that we wrote in the hope that it will create a movement to suppress white groups who throw away their voting rights. Then, in compiling this research article, we used an empirical juridical qualitative research method by raising two problem formulations that are problems in the current era. With the results of this research article, hopefully it can help you and can be a source of reference in preparing research that has the same aims and objectives.

Critical competence plays an important role in students' ability to solve a problem that occurs. Through PBL, students are trained to develop ideas, or ideas that can facilitate them in problem solving and learning activities at school. By using the Problem-Based Learning paradigm to achieve learning objectives in elementary schools, students' critical competencies are developed. This form of learning looks at the relationship between critical thinking and student learning outcomes by using a qualitative approach with literature study as a source of in-depth analysis. A suitable approach to help students build critical thinking skills is a problem-based learning strategy. Students are encouraged to actively participate in solving problems that arise when using the Problem-Based Learning paradigm, according to the learning outcomes. By using this problem-based learning approach, students are encouraged to investigate a problem in more detail and from a broader perspective. Students can come up with original ideas in this situation or ideas for problem solving. By developing students' critical thinking skills and highlighting the important role that teachers play in fostering an enjoyable learning environment and acting as facilitators in the teaching and learning process, the Problem Based Learning model has been proven to improve the quality of teaching and student learning outcomes in educational settings.

A child's discipline plays a crucial role in shaping their character, academic success, social skills, and mental and emotional well-being. The formation of a strong character begins with the introduction of moral values and the development of independence, which is reinforced by consistent discipline. With a strong discipline, children can manage their time efficiently, develop good study habits, and achieve their maximum academic potential.Furthermore, discipline also positively impacts a child's social skills by helping them build healthy relationships, improve communication skills, and effectively manage conflicts. These abilities are essential in shaping individuals who can collaborate in groups and maintain positive relationships with others. Moreover, discipline also significantly affects a child's mental and emotional well-being. Children with discipline are more capable of managing stress, maintaining emotional balance, and building strong self-confidence. This equips them to face life's pressures with greater calmness and optimism.Thus, a child's discipline is not only a determinant factor in their life success but also a strong foundation for shaping individuals who are morally, intellectually, and emotionally sound. Therefore, it is important for parents, educators, and society as a whole to pay adequate attention to the formation of children's discipline from an early age, as an investment in their bright future.

The purpose of this study was to identify and explain what encourages students to study Cultural Arts (Music) in class VIII of SMP Negeri 15 Padang. This research used a qualitative method with a descriptive approach. The researcher became the main instrument in data collection, with the help of stationery and camera. Data were collected through observation, direct interaction, and documentation. Data analysis was carried out by reducing information, presenting findings, and concluding research results. The findings show the low motivation of students in learning Cultural Arts (music) at the grade VIII level, which is caused by the ineffectiveness of the expository teaching method used by the teacher. This is reinforced by findings from interviews which show that students are more inclined towards extrinsic motivation compared to intrinsic motivation. The lack of access to learning media devices such as projectors, laptops and speakers in the school environment is also one of the factors contributing to students' lack of interest in learning Cultural Arts (music) at SMP Negeri 15 Padang.

This writing aims to examine the position and influence of the presence of Artificial Intelligence in the formation of legislation as well as the crucial role of implementing the use of Artificial Intelligence in legislative processes. The research method employed by the author is normative juridical research using data collection techniques through document studies on secondary data. The results of this writing indicate that Artificial Intelligence is a form of progress that can assist and simplify human work. However, its use must be limited by specific regulations to regulate and minimize potential threats or negative impacts. Additionally, Artificial Intelligence is limited to being a tool or supporting assistant in the legislative process. If Artificial Intelligence were to be considered a subject capable of shaping legislation, it would be nearly impossible to implement. This is due to legislation being rules derived from norms that evolve in society and are dynamic. In the end, Artificial Intelligence remains limited to providing assistance to human beings. And the realization of the use of Artificial Intelligence in the realm of law has occurred in Indonesia as well as other countries such as Singapore, China, Estonia and also the United States. These countries have utilized Artificial Intelligence in the realm of law, especially in its use as a tool for the formation of legislation.