Publication Search

This research aims to implement the K-Means Clustering algorithm in clustering patterns of goods demand in the inventory management system at PT Semen Padang. With the development of industrial technology and the need for an efficient inventory management system, this research identifies problems faced by the company, such as manual records that are prone to errors and delays. The developed web-based system allows real-time data integration, automation of the goods request process, and analysis of demand patterns using the K-Means algorithm. The results show that the implementation of this system can improve the efficiency of inventory management, minimize recording errors, and support better decision-making in the procurement of goods.

As business complexity and global competition intensify, the limitations of traditional cost accounting systems in providing relevant information for strategic decision-making become increasingly apparent. This has driven the adoption of Activity-Based Costing (ABC) and subsequently Activity-Based Management (ABM), which have evolved as vital tools to accurately allocate costs based on activities and transform this information into value-enhancing and efficiency-improving strategies. This study aims to map the landscape, influence, and visibility of ABC and ABM publications through a comprehensive bibliometric analysis using VOSviewer. The research method involves a Systematic Literature Review (SLR) for data collection and screening from 488 publications (2023-2025) indexed in Scopus from Google Scholar, followed by data analysis and visualization of co-authorship and keyword co-occurrence networks. The analysis results show the dominance of core concepts such as "activity-based costing/management," "activity," "costing," and "management" as the foundation of research. Identified thematic clusters include the basic applications of ABC and its impact on performance, managerial aspects of ABM, efficiency, and the challenges and benefits of implementation. Temporal trends indicate a shift in the focus of recent research towards the strategic and managerial contributions of ABM/ABC in enhancing efficiency, supporting decision-making, and driving organizational performance. Density visualizations confirm research "hotspots" in these areas, while also highlighting potential research gaps for the future. The conclusion demonstrates the continuous relevance of ABC and ABM as adaptive cost and performance management tools, as well as the evolution of the discipline continually adapting to modern business's strategic needs, guiding researchers and practitioners for further exploration.

The purpose of this study is to examine the structure of economic performance and identify superior clusters in districts/cities in order to develop a basis for formulating effective regional development strategies. The methodology used is quantitative with a descriptive approach that includes analysis of location quotient (LQ), shift share and class typology. Secondary data comes from official institutions such as the Central Statistics Agency (BPS). The results of the study indicate that Sidoarjo has an advantage in the manufacturing sector (LQ 1.85) and is included in the category of advanced and rapidly developing regions. Lamongan stands out in the agricultural and fisheries sectors with significant growth, although its contribution to GDP is low, it is classified as a rapidly developing region. Gresik has a large and solid commercial sector, but its growth is still lagging behind the national average. Pasuruan is included in the lagging category because its education services sector has not become the mainstay of the economy. The cluster approach has proven successful in identifying regional potential and formulating data-based development policies. Cross-sector collaboration and responsive and supportive government policies are key factors in developing superior clusters that can accelerate regional economic growth in an inclusive and sustainable manner.

This research was studied in order to describe how the influence of learning types consisting of visual, audiotorial, and kinesthetic learning types on the learning achievement of young students in Bukittinggi. How to collect data in research through questionnaires and documentation. Shiva who is 15-18 years old is the population in this study. There were 100 participants in this study who were selected through the cluster random sampling technique. This hypothesis was tested through linear regression analysis with a gain of 0.07. The results of this study indicate that there is a significant influence between each learning style, namely visual, audiotorial, and kinesthetic learning styles on student learning outcomes in Bukittinggi. This is indicated by the results of the visual learning style determination test with a percentage of 21.37%, 54.70% auditory learning style, and 23.93% kinesthetic learning style.

Anemia is defined as a condition when there is a decrease in hemoglobin and or the number of red blood cells from normal so that there are not enough red blood cells to meet a person's physiological needs. Anemia in adolescents can be influenced by the level of knowledge and attitude towards anemia prevention. This study aims to determine the effect of anemia monopoly educational game (GEMA) on the level of knowledge and preventive attitudes of adolescent girls at SMK South Jakarta. This study used a pre-eksperimental with one-group pretest-posttest design. The population of this study were adolescent girls at SMK South Jakarta with a total sample size of 96 respondents using the Cluster Sampling technique. The research instruments used questionnaires, Monopoly Anemia Educational Game SOP, easy touch tools, and Hb observation sheets. The statistical test used was the Paired T-Test test. The results of the analysis test showed that there was a relationship between the Monopoly Anemia Educational Game (GEMA) and the increase in knowledge of adolescent girls at SMK South Jakarta with a p-value of 0.00 (α<0.05). There is a relationship between Monopoly Anemia Educational Game (GEMA) with an increase in the prevention attitude of adolescent girls in South Jakarta Vocational High School with a p-value of 0.00 (α<0.05). Based on the results of the study, it is hoped that there will be a development of more innovative learning methods regarding education using anemia monopoly.

This study aims to determine (1) The influence of principal leadership on the performance of elementary school teachers. (2) The influence of work discipline on the performance of elementary school teachers. (3) The influence of principal leadership and work discipline on the performance of elementary school teachers. This study is a quantitative study with data collection techniques using questionnaires. The hypothesis was tested using multiple linear regression analysis. The population in this study was 158 teachers in Cluster III in Kayuagung District, Ogan Komering Ilir Regency. The techniques used in data collection used questionnaires and documentation. Data analysis techniques and prerequisite tests consisting of normality tests, linearity tests, multicollinearity tests, and heteroscedasticity tests. For hypothesis testing using simple linear regression analysis, multiple linear regression, R test, t test, and F test. The results of the study indicate that (1) There is a significant positive influence of principal leadership on teacher performance in Cluster III in Kayuagung District, Ogan Komering Ilir Regency, this can be seen from the results of the t test obtained t count of 0.414 with a significance value of 0.001 <0.05 (2) There is a significant positive influence of teacher discipline on teacher performance in Cluster III in Kayuagung District, Ogan Komering Ilir Regency, this can be seen from the results of the t test obtained t count of 0.268 with a significance value of 0.000 <0.05. (3) There is a simultaneous/joint influence between principal leadership and teacher discipline on teacher performance in Cluster III in Kayuagung District, Ogan Komering Ilir Regency, this can be seen from the results of the simultaneous test obtained 0.005 <0.05. This means that there is a significant influence simultaneously or together between the independent variables on the dependent variable.

This study aims to analyze the relationship between leadership style and the performance of State Civil Apparatus (ASN) in the Waropen Regency Regional Secretariat. Specifically, this study focuses on determining: (1) the strength of the relationship between leadership style and ASN performance, and (2) the level of significance of the relationship between leadership style and ASN performance in the Waropen Regency Regional Secretariat. This study uses an associative or causal research approach to identify the relationship and influence between variables. The study population consists of all ASN in the Waropen Regency Regional Secretariat, totaling 180 people. Sample selection was carried out using the probability sampling method using the cluster sampling technique. Samples were taken from several job groups, namely Regional Secretary Officials, Expert Staff Officials and Assistant Regional Secretaries, sections and subsections, and staff who do not have structural positions. The number of respondents who participated in this study was 60 people. Data collection was carried out through distributing questionnaires and collecting supporting documents. The data used included primary data obtained directly from respondents, as well as secondary data from archives and official documents of related agencies. Data analysis was carried out using correlation analysis techniques to measure the strength of the relationship and significance tests between variables. The results of the study indicate a positive relationship between leadership style and ASN performance, with a correlation coefficient of 0.382, indicating a moderate relationship. Furthermore, a significant positive effect was found with a significance level of 0.003 (<0.05), thus concluding that leadership style significantly contributes to improving ASN performance within the Waropen Regency Regional Secretariat. The implication of this study is the need to strengthen leadership capacity at various levels of office, in order to create a conducive work climate, motivate employees, and encourage optimal performance. These results can be used as a reference for local governments in designing more effective leadership training and development programs.

The coverage of complete basic immunization in Indonesia in 2020 during the Covid-19 pandemic had not yet reached the expected target. The province with the lowest coverage was Aceh, with only 41.8%, indicating a significant gap from the national target. This study aims to determine the relationship between parental roles and the coverage of complete basic immunization for infants during the Covid-19 pandemic in the Banda Sakti area. This research used a cross-sectional design with a cluster sampling technique. The univariate analysis showed that most of the children were male, totaling 48 (51.6%). The age of the fathers was mostly between 26–35 years (52 respondents or 55.9%), and the mothers’ age was also mostly between 26–35 years (63 respondents or 67.7%). The majority of both fathers and mothers had a senior high school education, with 49 (52.7%) and 39 (41.9%) respectively. Most of the basic immunization coverage in the Banda Sakti area was incomplete, amounting to 74 infants (79.6%), and the parental role was categorized as poor. The bivariate analysis using the Chi-square test and its alternatives showed a p value < 0.05, indicating a significant relationship between the roles of fathers, mothers, and parents in general, and the coverage of complete basic immunization. The conclusion of this study is that there is a significant relationship between parental roles and the coverage of complete basic immunization for infants during the Covid-19 pandemic in the Banda Sakti area.

This study aims to analyze and visualize the distribution of COVID-19 cases in Indonesia throughout 2020 with a spatial-based quantitative approach. The data used was obtained from the official report of the Ministry of Health of the Republic of Indonesia as of December 30, 2020, including the number of confirmed cases, recovered, and died. The analysis was carried out by integrating clustering methods and Geographic Information Systems (GIS) using Quantum GIS (QGIS) software. The visualization results show significant spatial variations between provinces, where provinces with high population density such as DKI Jakarta, West Java, East Java, and Central Java are recorded as areas with the highest caseload. In addition, areas with limited health facilities also show a high potential risk of transmission and death. Cluster patterns of positive and cured cases generally show similarities, while mortality rates show spatial inequalities that are important to look at. These findings emphasize the importance of spatial data integration in area-based policy planning for pandemic control. Spatial visualization not only facilitates understanding of distribution patterns, but also supports more effective and targeted decision-making.

The low level of student learning activity is often found in school learning activities, which has an impact on poor learning outcomes. This study aims to examine the significant comparison of learning activities and physics learning outcomes of vocational high school students using the cooperative learning models STAD (Student Teams Achievement Division) and TGT (Teams Games Tournament), as well as to describe student responses after the implementation of both models on the topic of energy and its changes. This research is a true experimental study with a posttest-only control group design. The population in this study consisted of 186 students, and the sample was determined using a cluster random sampling technique. Data collection methods included observation, tests, questionnaires, interviews, and documentation. The classical assumption test used was the normality test, followed by statistical analyses using the Independent Sample T-test and the Mann-Whitney U-test. The results of the analysis of student learning activity data using the Independent Sample T-test showed a Sig. (2-tailed) value of 0.699 > 0.05, while the analysis of learning outcome data using the Mann-Whitney U-test showed a Sig. (2-tailed) value of 0.806 > 0.05. These results indicate that there is no significant difference between the two learning models in terms of their effect on student learning activities and physics learning outcomes. In addition, the analysis of student responses showed that the implementation of the STAD and TGT models received a very good response. Thus, it can be concluded that while there is no significant difference between the two models, both are effective in generating student interest and positive engagement in learning physics.

Digital transformation in the sales function has become a critical strategic element in facing the challenges of the digital era. This study aims to explore how companies’ managerial practices in managing digital sales transformation compare to existing prescriptive frameworks. Using a survey approach of 540 sales managers from the United States, United Kingdom, Germany, and Italy, and a cluster analysis based on five key dimensions—strategic clarity, sales force replacement, sales force empowerment, implementation actions, and key performance indicators—this study identifies four typologies of companies: Digital Sales Transformation Leaders, Laggards, Enablers, and Replacers. The results show that the success of digital transformation is influenced by a combination of strategic clarity, targeted use of technology, and a focus on customer value creation. This study provides a practical contribution in the form of a taxonomy that can be used as an evaluative and strategic tool for companies in designing and implementing effective digital sales transformation.

Geopolitical tensions have evolved from peripheral risks to central drivers of global capital flows, disproportionately affecting Emerging Markets (EMs). This study provides a comprehensive bibliometric mapping of the academic landscape linking geopolitical dynamics, international finance, and investment in EMs. This study uses a dataset of 1,039 documents extracted from high-impact databases to analyze performance and conduct science mapping with R-Bibliometrix. The analysis covers publication trends, citation structures, and conceptual evolution over the last century, with a focus on the surge in literature post-2018. Results indicate an exponential growth in scientific production, peaking in 2024. The thematic structure reveals a shift from traditional debt crisis narratives (1990s) to contemporary concerns regarding sanctions, protectionism, and trade policy (2020s). Network analysis identifies three distinct clusters: (1) International finance and market mechanisms, (2) Political economy and development in the Global South, and (3) Institutional governance (IMF/World Bank). This paper bridges the gap between political science and financial economics by visualizing how international finance serves as the dominant anchor connecting developed economies (the USA and the UK) with key emerging markets (China and Indonesia) amid rising global fragmentation.

This study aims to analyze the influence of tridharma perguruan tinggi on the performance of millennial lecturers. A quantitative approach was employed using a survey method involving 385 millennial lecturers from 30 universities under LLDIKTI Region III Jakarta, selected through cluster random sampling. Data were collected using a structured questionnaire that had undergone validity and reliability testing. Data analysis was conducted using Partial Least Squares - Structural Equation Modeling (PLS-SEM). The outer model test results indicate that all indicators have loading factor values above 0.70 and AVE values greater than 0.5, confirming convergent validity. The reliability test using Composite Reliability yielded values above 0.962, and Cronbach's Alpha exceeded 0.951, indicating strong internal consistency. The results show that tridharma perguruan tinggi have significant effects on lecturer performance. This research provides implications for human resource development in higher education institutions, particularly in nurturing adaptive and productive young lecturers.

This study examines the intersection of sentiment discourse in news texts and user comments on Facebook Detikcom, focusing on government policies during the Covid-19 pandemic. The research explores institutional discourse in news articles that align with government narratives, while user comments reflect a spectrum of responses, from support to opposition. Using qualitative content analysis, this study applies critical discourse analysis (CDA) and sentiment analysis to examine linguistic strategies, ideological framing, and sentiment polarity. The data were taken from news texts and the comment section on Facebook Detikcom, collected through documentation and following several stages of observation, careful reading, selection, and classification. The findings show that social media transforms news consumption into a participatory discourse. This indicates that traditional narratives are challenged and reinterpreted by users. Sentiment clustering and engagement metrics further shape the visibility and influence of competing ideologies. This study contributes to digital discourse research by demonstrating that sentiment functions as an ideological tool in crisis communication. The analysis also highlights the evolving role of social media in public discourse and emphasizes the need for critical engagement with online news narratives and user-generated content.

The purpose of this study was to analyze the significance of the influence of work motivation, workload and work discipline on the performance of inpatient room nurses at Karanganyar Regency Hospital. This research is a quantitative study at Karanganyar Regency Hospital with a population of 239 inpatient room nurses. The sample was 71 people with proportional cluster random sampling technique. Data collection techniques using questionnaires and observation. Data analysis techniques using multiple linear regression analysis, t test, F test, and coefficient of determination (R2) test. The t test results show that work motivation, workload, work discipline have a significant partial effect on the performance of inpatient room nurses at Karanganyar Regency Hospital. The results of the F test obtained the right model in predicting the effect of work motivation (X1), workload (X2) and work discipline (X3) on nurse performance (Y) in the hospital room of Karanganyar Regency Hospital.  Based on the results of the study, it is hoped that the Director will provide opportunities for nurses to participate in education and training and provide rewards proportional to workload, namely medical services according to the number of patients served.

Low student collaboration skills are often found in learning activities at school. This will certainly impact the low level of student learning outcomes. This study aims to examine the effect of the Learning Cycle 7E model assisted by PhET Simulation on students' collaboration skills and physics learning outcomes. This research is a true experimental study using a posttest-only control group design. The population in this study was class X students of SMK Negeri 2 Jember, while the research sample was determined using the cluster random sampling technique. Data collection methods included observation, interviews, tests, and documentation. The data obtained were analyzed using a normality test, followed by statistical tests using the Independent Sample T-test for collaboration skills and the Mann Whitney U-Test for physics learning outcomes. The results showed that the analysis of collaboration skills data using the Independent Sample T-test obtained a Sig. (2-tailed) of 0.000 ≤ 0.05, indicating a significant difference between the experimental and control groups. Meanwhile, the analysis of physics learning outcomes using the Mann Whitney U-Test obtained a Sig. (2-tailed) of 0.000 ≤ 0.05, also indicating a significant difference. Therefore, it can be concluded that the application of the Learning Cycle 7E model assisted by PhET Simulation has a significant positive effect on improving students' collaboration skills and physics learning outcomes.

This research aims to determine: (1) the effect of work motivation on employee performance; (2) the effect of stres management on employee performance; (3) the effect of work discipline on employee performance; (4) the effect of work motivation on employee work discipline; (5) the effect of stres management on employee work discipline; (6) the role of work discipline in mediating the influence of work motivation on employee performance; (7) the role of work discipline in mediating the influence of stres management on employee performance. This research includes causal associative research with a quantitative approach. The population of this research is educational staff at Yogyakarta State University, all 730 educational staff at Yogyakarta State University. The sampling technique used in this research is cluster sampling (area sampling). Based on the calculation results, the sample size was 252. Data was collected using documentation and questionnaires whose validity and reliability had been tested. The data analysis technique used is path analysis using the Smart PLS 3 application. The results show that: (1) work motivation has a positive and significant effect on employee performance with a p value (0.000 < 0.05) and a t statistic value (4.737 > 1.96); (2) stress management has a positive and insignificant effect on employee performance with p value (0.058 > 0.05) and t statistic value (1.897 < 1.96); (3) work discipline has a positive and significant effect on employee performance with a p value (0.001 < 0.05) and a t statistic value (3.358 > 1.96); (4) work motivation towards employee work discipline; (5) stress management has a positive and significant effect on employee work discipline with a p value (0.000 < 0.05) and a t statistic value (5.401 > 1.96); (6) work motivation has a positive and significant indirect effect on employee performance through the mediation of work discipline with a p value (0.004 < 0.05) and a t statistic value (2.862 > 1.96); (7) stress management has a positive and significant indirect effect on employee performance through the mediation of work discipline with a p value (0.004 < 0.05) and a t statistic value (2.862 > 1.96).

This study aims to determine the effect of principal leadership and communication on the performance of educators in Public Elementary Schools in the Catur Tunggal Cluster. Educator performance is greatly influenced by various factors, including effective principal leadership and good communication. This study uses a quantitative approach with a survey method involving 50 educators in elementary schools that are members of the cluster. Data were collected through questionnaires distributed to respondents, which were then analyzed using multiple linear regression analysis. The results of the study indicate that there is a positive and significant influence between principal leadership and communication on educator performance. Principals who are able to demonstrate good leadership and establish effective communication with educators will improve their performance. This study is expected to contribute to the development of educational management at the elementary school level.

The rapid development of information and communication technology has driven the need for information services that are more relevant and adaptive to user behaviour. This research aims to integrate data analytics in the study of user behaviour to support the development of effective information services. The dataset used is Kaggle's Online Retail Dataset, which includes sales transaction data of online retail companies in the UK from December 2010 to December 2011. The analysis was conducted through customer segmentation using K-Means Clustering algorithm and predictive analysis with Association Rule Mining. The segmentation results successfully grouped customers into four main clusters, namely loyal customers, potential customers, passive customers, and low-spending customers. Model evaluation showed optimal performance with an accuracy rate of 85%, precision of 82%, recall of 78%, and F1-Score of 80%, and Silhouette Score of 0.62, indicating effective customer segmentation. The findings prove that the application of data analytics can provide deep insights into customer behaviour and support the development of more personalised and adaptive information services. This research is expected to be a reference in designing data-driven information service development strategies in various sectors.

Scientific literacy which involves the ability to understand scientific concepts, think critically, and apply this knowledge in everyday life, has become one of the main focuses in the Natural Sciences curriculum. The purpose of this research is to analyze the trends in the development of scientific literacy research in elementary school science education through a bibliometric approach. The method used is bibliometric analysis, with four stages of literature search on the Scopus website. The results show that there are three frequently appearing terms or research topics. First, the topic of scientific literacy, which appears 29 times with a link strength of 65, included in cluster 4 colored yellow. Second, the topic of elementary schools, which appears 12 times with a link strength of 52, included in cluster 2 colored green. Third, the topic of students, which appears 10 times with a link strength of 45. Based on the research findings and discussion, it can be concluded that the development of scientific literacy research in elementary science education is still relatively low because this topic has not attracted much attention from researchers in various countries. Therefore, it is recommended that future research focuses on these areas. This implies that these topics can be new areas of interest for authors, readers, or other researchers in this field to explore further. Consequently, future research is advised to discuss these areas.