ANALISIS K-MEANS CLUSTER PADA KABUPATEN/KOTA DI PROVINSI BANTEN BERDASARKAN INDIKATOR INDEKS PEMBANGUNAN MANUSIA

The Human Development Index (HDI) is one of the parameters of success in the development of the quality of human life, besides that at the regional level, the HDI is an indicator of the primary performance measurement and allocation of Regional Incentive Funds in promoting the welfare of the people in the area. In 2020 the Banten Province Human Development Index 72.45 only rose 0.01% compared to 2019, lower than the growth in 2019, which reached 0.68% and is still stuck in the high category (70≤HDI≤80), this indicates the progress of human development in Banten experienced a slowdown, In addition, when compared to the growth of the HDI-forming indicators in 2019, all components that make up the HDI experienced a slowdown in growth except for RLS which experienced growth acceleration of 0.33% from 1.39% in 2019 to 1.72% in 2020. So it is necessary to do a deeper analysis to determine the characteristics of the indicators that make up the HDI in the City as a contributor to the HDI value of the Banten Province so that efforts can be made to increase human development as evidence of improving the welfare of the people in the Banten Province. The K-Means Cluster method is used to group cities in Banten Province based on similar characteristics in terms of the HDI compiler indicators, including Life Expectancy at Birth, Expected Years of Schooling, and Average Length of School in, and Expenditure per Capita. Based on the results of the analysis obtained three clusters consisting of cities with similar characteristics in each cluster. Cluster 1 is a City with a low HDI indicator consisting of Pandeglang, Lebak, Serang. Cluster 2 is a City with a medium HDI indicator consisting of Tangerang, Cilegon, Serang City. Cluster 3 has a high HDI indicator consisting of Tangerang City and South Tangerang City. After obtaining City information based on the characteristics of each cluster, then the Banten Provincial government can provide direction and policies to each City in Clusters 1 and 2 to be able to develop activity programs with more attention to the HDI compiler indicators so that the Human Development Index in the City can increase

Competency Characteristics of Graduates Viewed from User Satisfaction Using Nonhierarchical Clusters

This study aims to classify graduates based on the similarity of competency characteristics by referring to the indicators of graduate user satisfaction. The indicators are implementation of Islamic values; integrity, ethics, and morals; expertise based on knowledge (professionalism); foreign language skills; ability to use ICT; communication; teamwork; and self-development. The survey was aimed at graduates of five study programs totaling 211 people. Determination of respondents using the purposive sampling technique. Data was collected through a questionnaire containing statements about the eight indicators. Data analysis uses descriptive and multivariate statistics with the non-hierarchical cluster method or K-Means cluster analysis, assisted with SPSS (Statistical Package for Social Science) software. The results show that based on the similarity of competency characteristics, graduates are grouped into three clusters, namely Cluster 1 with 13.27% with characteristics of graduates with low competence, Cluster 2 with 32.7% with characteristics of graduates with high competence, and Cluster 3 with 54.03% with the characteristics of graduates with moderate competence. Thus, a strategic program that is systematic, comprehensive, and continuous is needed to develop human resources to shape the quality mentality and competence of students and to be competitive with students and by the needs of the workforce or users. For this reason, it is necessary to develop an e-tracer system that is integrated with the campus web and to strengthen synergistic cooperation with stakeholders, including users.

PENGELOMPOKAN KABUPATEN/KOTA DI PROVINSI JAWA TENGAH BERDASARKAN JUMLAH PEREMPUAN (USIA 18+) KORBAN KEKERASAN DENGAN MENGGUNAKAN K-MEANS CLUSTERING

Violence against women is one of the cases that often gets attention and news in various mass media and electronic media today. In Komnas Perempuan's Annual Records, there were 406,178 cases of violence against women reported and handled throughout 2018. This number increased compared to the previous year's 348,466 cases. This study was conducted to try to group 35 districts/cities in Central Java into 3 clusters based on the number of women (age 18+) victims of violence. Grouping is done using the k-means cluster method. The regencies/cities in Central Java are grouped into 3 clusters, namely: cluster 1 there is 1 Regency/City with a high number of women (age 18+) victims of violence, cluster 2 there are 4 Regency/City with a high number of victims of violence. female (age 18+) victims of violence. moderate, and cluster 3 there are 30 districts/cities with a low number of women (age 18+) victims of violence.

Forest industry complex development in Russian Federation regions

The study found that the existing potential of the timber industry complex is not used effectively enough, as evidenced by the low level of wood processing, the development of only 50 % of the declared annual allowable cutting rate, insufficient use of modern technologies for processing wood raw materials, as well as reforestation. The consequence of this is the low share of the timber industry complex in the total volume of production in the regions. Based on the cluster method, the regions of the Russian Federation were grouped in 2010–2019 according to indicators reflecting the availability of resources (forest cover of the territory and the total stock of wood) and the level of their use (the share of the type of economic activity in the total volume of production in the region). The analysis carried out and the results obtained on this basis made it possible to identify the most successful practices for realizing the potential of the timber industry complex, as well as possible directions for the development of the forest industry in the regions of the Russian Federation.

Constructing a Life–quality Scale for the teachers of Jordanian ministry of education : بناء مقياس جودة الحياة لدى المعلمين والمعلمات العاملين في وزارة التربية والتعليم الأردنية

his study aimed at building a life quality scale for teachers working in the Jordanian Ministry of Education. This study was conducted in schools affiliated with the Jordanian Ministry of Education, and the researcher used the descriptive approach in this study, and the scale of the study was built then its validity and reliability were confirmed and applied to the study sample, which involved 1780 teachers who were selected by random cluster method from six directorates of education Distributed in three regions, and the results of the study showed that there are statistically significant differences in the level of life quality attributed to the variable of the region and in favor of the central and northern regions. The research came out with several recommendations, most notably the re- application of the scale to other categories, knowing its validity and stability, and the derivation of its criteria.

Estimation of the Conifer-Broadleaf Ratio in Mixed Forests Based on Time-Series Data

Most natural forests are mixed forests, a mixed broadleaf-conifer forest is essentially a heterogeneously mixed pixel in remote sensing images. Satellite missions rely on modeling to acquire regional or global vegetation parameter products. However, these retrieval models often assume homogeneous conditions at the pixel level, resulting in a decrease in the inversion accuracy, which is an issue for heterogeneous forests. Therefore, information on the canopy composition of a mixed forest is the basis for accurately retrieving vegetation parameters using remote sensing. Medium and high spatial resolution multispectral time-series data are important sources for canopy conifer-broadleaf ratio estimation because these data have a high frequency and wide coverage. This paper highlights a successful method for estimating the conifer-broadleaf ratio in a mixed forest with diverse tree species and complex canopy structures. Experiments were conducted in the Purple Mountain, Nanjing, Jiangsu Province of China, where we collected leaf area index (LAI) time-series and forest sample plot inventory data. Based on the Invertible Forest Reflectance Model (INFORM), we simulated the normalized difference vegetation index (NDVI) time-series of different conifer-broadleaf ratios. A time-series similarity analysis was performed to determine the typical separable conifer-broadleaf ratios. Fifteen Gaofen-1 (GF-1) satellite images of 2015 were acquired. The conifer-broadleaf ratio estimation was based on the GF-1 NDVI time-series and semi-supervised k-means cluster method, which yielded a high overall accuracy of 83.75%. This study demonstrates the feasibility of accurately estimating separable conifer-broadleaf ratios using field measurement data and GF-1 time series in mixed broadleaf-conifer forests.

COMMUNICATION SKILLS AND ITS RELATIONSHIP TO SELF-TRANSCENDENCE AMONG MIDDLE SCHOOL TEACHERS

The research problem lies in the following questions: What is the nature of the correlation between social communication skills and self-transcendence among middle school teachers, and does this relationship differ according to gender? Therefore, the current research aims to identify: 1-The social communication skills of middle school teachers. 2- Self-transcendence among middle school teachers. 3- The relationship between social communication skills and self- transcendence among middle school teachers 4 - The difference in the relationship between social communication skills and self-transcendence among middle school teachers according to the gender variable (male - female).For the purpose of verifying this, the scale of social communication skills prepared by Al-Samadoni and built according to the Reggio model, which includes (32) items, as well as the scale of self-transcendence prepared by Abdel Wahab, which includes (57) items, was used. The two scales were applied to a sample of (120) chosen by the random cluster method ,The results of the research showed that the social communication skills of middle school teachers were respectively social control, social expression and social sensitivity. As for self transcendence, it appeared that they enjoy a high level of self-transcendence, and that there is a statistically significant relationship between social communication skills and self-transcendence, and there are no differences in the relationship Between social communication skills and self-transcendence can be traced back to the gender variable, and in light of these results, the current research reached a set of recommendations and suggestions. Keywords: Social Communication Skills, Self-Transcendence, Middle School Teachers.