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Training on Making Modified Formula Food Made from Green Beans and Anchovies: Stunting Prevention Strategy
Get PDFThe main cause of stunting is the lack of nutritional intake since the golden period of the first life of toddler growth. Education through counseling, demonstration, and practice is very good and necessary because it has a very important role in the implementation of integrated health posts, with increased nutritional knowledge that will affect the PMT provided, and socialization delivered to mothers of toddlers. This study aims to analyze the effect of training on modified food formula made from green beans and anchovies on knowledge and attitudes. This study is a quasi-experimental research. The target of the training was 30 consisting of health cadres, PKK mothers, and mothers who have babies/toddlers at risk of stunting. The training was conducted for 2 days. Data were collected using a questionnaire and analyzed using a paired t-test. The results showed a significant change in the average knowledge and attitudes of training participants (p-value <0.05). This finding provides a new understanding of efforts to prevent stunting
Analysis of Treatment Compliance Factors in Type 2 Diabetes Mellitus Patients
Get PDFNon-compliance with taking medication in DM patients can reduce a person's quality of life and become the main cause of a number of microvascular problems. Therefore, complex problems related to diabetes are one of the global health problems that must be addressed immediately. The purpose of this study was to determine the factors related to medication compliance in type 2 DM patients. This study used a mixed method study approach or a combination of two types of research, namely quantitative research and qualitative research. The type of mixed method research design used is explanatory sequential design. The sampling method in this study was by proportional sampling. Furthermore, to determine the target sample, a simple random block sampling technique was used, namely 347 DM patients. The results of the analysis showed no significant relationship between gender p-value = 1,000 (> 0.05), education p-value = 0.232 (>, 0.05), knowledge p-value = 0.076 (> 0.05), dxuration of suffering p-value = 0.162 (> 0.05), belief p-value = 0.680 (> 0.05), access to health services p-value = 0.602 (> 0.05), and there was a significant relationship between family support and DM treatment compliance with p-value = 0.020 (<0.05). The conclusion of this study is that more than half of DM patients have low treatment compliance, are female, have low education, have a duration of <5 years, have access to health that takes a long time, and lack of family support. More than half of DM patients have high knowledge and positive beliefs
The Effect of Traditional Games on Students Physical Fitness Levels
Get PDFThis study aims to determine the effect of traditional games on the level of physical fitness of students at SMK Terpadu Jannatul Firdaus, Ngawi Regency. The study used a quantitative approach with a quasi-experimental design method of non-randomized control group pretest-posttest design. The sample consisted of 40 students of grades X and XI who were divided into an experimental group (using the gobak sodor game) and a control group (regular physical exercise). Data were collected through the Nusantara Student Fitness Test (TKPN) and analyzed using a paired sample t-test. The results showed that there was a significant difference between the pretest and posttest scores in the experimental group (p <0.05), which indicated that traditional games had a positive effect on improving students' physical fitness. This finding confirms that the integration of traditional games in physical education learning can be an effective and enjoyable alternative to improve students' physical fitness
Identification of Forensic Odontology in Investigation Case of Human Skeletal Findings: Case Report
Get PDFThe objective of forensic identification is to assist investigators in identifying an individual's identity, Through the identification process in forensic odontology, we can obtain information related to a person's identity such as race, gender, age and oral habits. This case report discusses the identification of skeletal found by residents in a garbage dump. This discovery was reported to the police in charge for further investigation. These skeletals were identified by a joint team, consist of forensic pathologist and forensic odontologist. In this case, we conclude the skeletals was human skeletals, mongoloid male with estimation of age between 30-50 years old
Analysis of the Use of QRIS Transactions and Digital Literacy in Influencing the Income of Culinary MSMEs: JEL Classification: D22, L25, O33, M15, G20
No full textThe current research is exploring the impact of the QRIS transaction use and digital literacy on the revenue of culinary MSMEs in Makassar City. Based on primary data that constitutes structured questionnaires administered to 50 culinary MSME actors, multiple linear regression analysis will be used in the study to study both individual and combined effects of the variables. Based on the results, QRIS adoption and digital literacy indicated that these two variables have significant positive effects on MSME income. Further, when used simultaneously, these factors have synergetic effect on financial performance. The results indicate that, as QRIS offers an effective and safe transaction platform, it is of the best use when the operators are digitally literate enough to apply the technology to the greater business model. The research will help in MSME digitalization given that it highlights the synergetic nature of using payment technology with human capital capabilities. The implications propose that policy initiatives targeting to enhance the performance of MSMEs in the digital economies should be directed to both access and the enhancement of digital competencies of MSME actors
Developing The Competency of Human Resources Analyst Officials in The Personnel Agency and Human Resources Development
Get PDFHuman resource management (HRM) is a crucial element in organizational success, particularly in government institutions. This study focuses on the competency development of the functional position of Human Resources Apparatus Analyst (Analis SDM Aparatur) following job realignment at the Civil Service and Human Resource Development Agency (BKPSDM) in Nunukan Regency. The research examines the alignment of employee competencies with job demands and evaluates the effectiveness of existing competency development programs. The study employs a descriptive qualitative method with an inductive analysis approach. The findings reveal significant competency gaps among employees, both in technical skills and managerial abilities, which hinder their performance effectiveness. Moreover, existing training programs are deemed suboptimal in addressing the functional position's actual needs in terms of content, methods, and implementation. The study suggests the necessity of a comprehensive evaluation of training programs and the formulation of more targeted and relevant competency development strategies. These findings contribute to enhancing HRM effectiveness, supporting BKPSDM's strategic objectives, and serving as a reference for future HR policy-making
Inflation and Unemployment Trade-off in the Global Economy in Indonesia Post COVID-19: Revisiting the Phillips Curve Concept: JEL Classification: E24, E31, E32, E52, O53
No full textThe purpose of this study is to re-evaluate the relevance of the Philipps curve in Indonesian economy post COVID-19 pandemic. According to the Phillips Curve theory, there is a negative correlation between unemployment and inflation, but the post-pandemic economic landscape presents complications. Using a descriptive perspective, and linear regression on the 2019 − 2024 inflation and unemployment data, research suggests that they are inversely associated with each other, yet, insiginificant from the statistical point of view. So this says that: whatever the causes of inflation, they are mostly from other variables such as changes in global supply chains and international policy decisions (global in addition to domestic policy) rather than unemployment. The traditional view of the Phillips Curve model thus is considered not suitable in modeling Indonesia macroeconomic nowadays. These findings underscore the need for a more flexible, locally-sensitive and data-informed approach to policy-making with respect to the economy
Optimizing Learning Object Sequencing in E-Learning Systems Using Human Behaviour-Based Particle Swarm Optimization
Get PDFThe distinctive requirements, educational attainment, and learning response of the learners are the critical key issues in the e-learning system. This goal is achieved by identifying the students' diverse assessments of their identity and capabilities and assigning them appropriate learning materials, as indicated by these highlights. The present paper introduces an efficient learning system that optimizes the sequencing of Learning Objects (LOs) in an e-learning system. Learning Objects (LOs) are educational materials typically divided into components. The procedure is performed by sequencing the learning objects of pupils or learners, and the sequence represents the organized arrangement of LOs. The sequencing problem can be considered a Constraint Satisfaction Problem (CSP) due to the utilization of the competency to characterize the correlation among LOs. The Human Behavior-based Particle Swarm Optimization (HPSO) algorithm can be employed to solve the problem using a swarm intelligence scheme. Results indicate that the algorithm is more effective in resolving the matter
Prediction of Electrical Energy Needs for Capital City of Central Java Based on Backpropagation and Linear Regression
Get PDFThis study discusses the prediction of electricity needs according to population growth. The model is determined by knowing the population and electricity needs. The parameters determined include: population, number of electricity consumers, energy consumption growth and electricity load factor for eleven years (2012-2023). The back propagation (BP) method and linear regression are used to help predict electricity needs for the next five years (2025-2030) with the BP architecture determined by three hidden layers and the number of neurons 12, 10 and 1. The object of the study was determined to be Semarang City, Indonesia. The results show that BP and linear regression can be used to predict electricity consumption needs in various sectors accurately. This is evidenced by the MAPE value below 10% and the MSE value of 2,65 x10-10 in the household sector, MSE 3,83 x 10-10 in the business sector, MSE 2,41 x 10-7 in the industrial sector, and MSE 3,6 x 10-12 in the public sector. The BP model produces predicted outputs of electrical energy in 2030 in the household sector of 1.104.140 MWH, the business sector of 843.757 MWH, the industrial sector of 1.027.790 MWH and the public sector of 375.974 MWH. The predicted increase in all sectors of electrical energy results in a total percentage of 54.21% for power sufficiency in 2030, so a thorough planning study is needed to meet electrical energy needs in that year
Hybrid Feature Selection Using Secretary Bird Optimization and Decision Tree Classifier
Get PDFFeature selection is one of the most crucial concepts of learning when constructing a machine learning algorithm. This paper proposes a new technique of using a blend of Secretary Bird Optimization (SBO) and Decision Tree for feature selection. SBO, with the consideration of hunting strategy of called secretary bird, can successfully search the space and find feature subsets. The first proposed framework involves identifying the relevant features by applying SBO then secondly deciding on a ranking of the features by using a decision tree model classifier. Evaluation is based on the most famous Iris dataset with the application of the 5-fold cross-validation to increase the reliability of the results. It is shown that the SBO-based approach succeeds in both objectives, and the average classification accuracy is equal to 0.9550 ± 0.0316, while the baseline selection methods have higher values of loss. This result has unveiled a theoretical and practical potential for future works that seek to combine metaheuristic optimization with decision trees and interpretability of selected features and machine learning models