Sample Selection Technique Research Articles

HUBUNGAN KECEMASAN DAN PENGETAHUAN PENGGUNAAN OBAT DENGAN KEPATUHAN MINUM OBAT PENDERITA HIPERTENSI

Background: Hypertension is a major cause of cardiovascular disease and premature death worldwide. Compliance with hypertension treatment plays an important role because it is long term process to control the blood pressure. This study aims to see whether anxiety and knowledge of drug use can affect medication adherence in patients with hypertension. Methods: This study was an analytic observational design with a cross-sectional approach. The sample was patients with hypertension who visited Grogol Health Center. The sample selection technique was consecutive non-random sampling. Data were obtained through interviews and questionnaire. Anxiety variable data was obtained through the Hamilton Anxiety Rating Scale (HARS) questionnaire, the knowledge variable was obtained through a drug use knowledge questionnaire and the medication adherence variable was obtained through the Morisky Medication Adherence Scale (MMAS) questionnaire . Data obtained were analyzed using the Chi-square test and Fisher's exact. Results: Study on the relationship between anxiety and knowledge of drug use with drug compliance in hypertension was conducted on 134 respondents showing a value of p=0.986 and p=0.403. Conclusion: There was no significant relationship between anxiety and knowledge of drug use with antihypertensive drug compliance in patients with hypertension at Grogol Community Health Center.

Digital Strategies for Sustainable Fashion: Insights from Emerging Ghanaian Fashion Designers

Purpose: This study explores the use of social media marketing by emerging fashion designers in Ghana, with a focus on how they leverage these platforms to promote sustainability in their designs. The research aims to understand the effectiveness of social media tools in building brand identity, fostering customer relationships, and expanding global reach for designers in Ghana’s growing fashion industry. Methodology/Design: The study employed a qualitative, phenomenology approach by conducting in-depth interviews with 52 emerging fashion designers based in Accra and Kumasi. The sample selection technique used in the study is non-probability purposive sampling. This approach was chosen to intentionally select participants who could provide relevant and diverse insights into the use of social media marketing to promote sustainable brands in the Ghanaian fashion industry. Findings: The findings reveal that social media platforms, like Facebook, Instagram and TikTok, play a crucial role in connecting emerging designers with sustainability-conscious consumers. Designers use techniques like live-streaming, discovery reels, and hashtags to promote sustainability and build authentic brand identities. The study also highlights the power of influencers, hashtags and the global reach of social media in attracting international customers. Practical and Social Implications: This research shows how emerging designers in Ghana can use social media to engage with a global audience and promote sustainable fashion practices. It also demonstrates the importance of cultural sensitivity when using social media tools like hashtags and emojis. The findings provide valuable insights for fashion designers looking to integrate social media marketing into their business strategies, contributing to the growth of sustainable fashion in Ghana and beyond. Originality: This study is one of the first to examine the role of social media marketing in Ghana’s emerging sustainable fashion sector. Focusing on the intersection of social media, sustainability, and fashion entrepreneurship offers new perspectives on how digital platforms are transforming the fashion industry in Africa. The study also highlights the potential for emerging designers to utilize cost-effective digital tools to compete on a global stage.

Hubungan Kepatuhan Diet Dan Gaya Hidup Terhadap Kadar Gula Darah Pada Pasien Diabetes Mellitus Type 2

Introduction: Frequent consumption of foods and drinks containing sugar and unhealthy lifestyles are an emergency problem for type 2 diabetes mellitus patients. In type 2 diabetes mellitus patients, unhealthy lifestyles and irregular diets cause disease complications resulting in frequent deaths. Objective: This study aims to determine the relationship between diet and lifestyle adherence to blood sugar levels in patients with type 2 diabetes mellitus. Method: Correlational research design using a cross-sectional approach. This research was conducted for the period 1 November 2023 - 30 November 2023. The population in this study were patients diagnosed with T2DM at public health centers X and Y, in Kediri City. Sample measurements can use G Power with a power analysis effect size of 0.5, α err prob 0.05, power (0.95), and an increase in sample size of 20% to obtain a sample of 56 respondents. The sample selection technique was purposive sampling based on inclusion criteria, namely that the patient was willing to take part in the research until completion, the patient could read and write, and the patient was diagnosed with T2DM by a doctor at the public health centers X and Y, in Kediri City. The research statistical test used Spearmans Rho. Results: The relationship between diet and blood sugar levels in type 2 diabetes mellitus patients showed that the majority of type 2 diabetes mellitus patients had poor diet patterns and blood sugar levels ≥ 126, namely 64.3%. The results of the analysis of the relationship between diet and blood sugar levels also showed a p-value of 0.001 < 0.05. The relationship between lifestyle and blood sugar levels in T2DM showed that the majority had poor lifestyles and blood sugar levels ≥ 126, namely 67.9%. The results of the analysis of the relationship between lifestyle and blood sugar levels also showed a p-value of 0.000 < 0.05. Conclusion: There is a relationship between diet and lifestyle on blood sugar levels in type 2 diabetes mellitus patients. Suggestion: In T2DM patients, avoid eating foods and snacks that contain high sugar, and high fat, and control portion sizes to manage blood sugar levels. Do regular physical activity, according to your abilities and doctor's recommendations. Walking, cycling, and other sports can be good choices for controlling blood sugar.

Employee Performance Analysis: Compensation, Motivation, and Work Stress

The success of a business enterprise cannot be separated from the role of employees. Employee welfare needs to be maintained to achieve company goals, namely the quality of the work of the employees themselves. The reason for conducting this study is to find out how compensation, work stress, and motivation have an impact on the performance of employees of PT Bintang Karya Laut Rembang. This study involved 194 employees of PT Bintang Karya Laut Rembang. The sample selection technique used proportional random sampling. This study activity used 70 respondents as samples, which were obtained using the Slovin formula. Data analysis was performed with multiple linear regression analysis. From this study, it was found that the compensation variable had a partial positive effect on the performance of employees of PT Bintang Karya Laut Rembang, the work motivation variable had a partial positive effect, and the work stress variable had a partial negative effect. Findings from the determination test show that compensation, work motivation, and work stress variables can contribute 83.5% of employee performance, while the remaining 16.5% is a factor not analyzed in this study.

Pengaruh Penerapan Pelaporan Keuangan Berbasis Extensible Business Reporting Language (XBRL) terhadap Ketepatan Waktu Pelaporan Keuangan: Studi Empiris pada Perusahaan BUMN di Bursa Efek Indonesia Periode 2019-2022

This research aims to analyze the impact of implementing XBRL in financial reporting on the timeliness of submitting financial reports by controlling the DER and ROA variables. The population of this research is state-owned companies listed on the Indonesia Stock Exchange for the period 2019 to 2022. The research sample consists of 25 companies or a total of 100 years of observations. The sample selection technique in this research used the purposive sampling method. Data analysis used logistic regression which was processed using SPSS version 26 software. The research results showed that XBRL had a positive effect on the timeliness of submitting financial reports, although not significantly. The same applies to the Debt-to-Equity Ratio variable used to control the company's debt level, which has a positive but insignificant effect. The Return on Asset variable, which is used to measure company profitability, has a positive and significant influence on the timeliness of submitting financial reports for state-owned companies listed on the Indonesia Stock Exchange.

Pengaruh Strategi Bisnis dan Good Corporate Governance Terhadap Nilai Perusahaan: Studi Empiris pada Perusahaan Sektor Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2020 – 2022

This research aims to examine the influence of business strategy, institutional ownership, managerial ownership, independent commissioners, and audit committees on company value. The population in this study are manufacturing sector companies listed on the Indonesian Stock Exchange for the 2020 – 2022 period. The sample selection technique uses a purposive sampling method. The sample selected in this research was 84 companies based on predetermined criteria. This research uses secondary data obtained from annual reports and financial reports. The analytical method used is multiple linear regression analysis using SPSS version 26. The research results show that the business strategy variable influences company value with a significance value of 0.033 < 0.05. The institutional ownership influences company value with a significance value of 0.031 < 0.05. Managerial ownership influences company value with a significance value of 0.015 < 0.05. Independent commissioners influence company value with a significance value of 0.000 < 0.05. The audit committee has no effect on company value with a significance value of 0.358 > 0.05.

Pengaruh Digital Marketing Electronic Word of Mouth dan Kualitas Produk terhadap Keputusan Pembelian Produk Somethinc di Samarinda

This research aims to analyze and explain the influence of Digital Marketing, Electronic Word of Mouth, and Product Quality on Purchasing Decisions in Samarinda. The population in this study is people who intend to consume Somethinc products in Samarinda and are interested in doing so. The sample selection technique uses nonprobability sampling, namely the purposive sampling method. Analysis was carried out using Partial Least Square (PLS). This research shows that Digital Marketing has a positive and significant effect on Purchasing Decisions, Electronic Word of Mouth has a positive and significant effect on Purchasing Decisions, and Product quality has a positive and significant effect on purchasing decisions.

ONLINE LEARNING FOR STUDENTS: IMPACT AND PERCEPTION

The aim of this research is to examine how online learning affects students' academic achievement. Online learning is expanding quickly at all levels of official education, including the university level. This study at one of Bandung, Indonesia's private university seeks to ascertain the impact of online learning on students' perceptions and academic achievement. All current participants in the Accounting Study Program make up the study's population. The class of 2018-2022 members of Accounting Study Program who are currently enrolled in or have completed the Auditing course make up the sample for this study. Purposive sampling is the sample selection technique employed, while the research approach used is explanatory research. Using the T and F tests, multiple regression analysis, and SPSS, the study hypothesis is tested. According to the sample technique, questionnaires were given out to 113 students. Additionally, interviews were conducted to find out what students thought of online learning, both positively and negatively. The study's findings indicated that online learning has an impact on academic achievement. Although most students have positive perceptions of online learning, there are some negative ones as well. However, the university can address these negative perceptions by correcting the relevant errors.

The Effect of Using Interactive Learning Media on Science Learning Outcomes of Class IV Students at SD Negeri 136 Palembang

This research aims to determine whether there is an influence of the use of interactive learning media on the science learning outcomes of class VI students at SD Negeri 136 Palembang. This research is a quantitative type using the True Experimental type of experimental research method with a Matching Pretest – Posttest Comparison Group Design. The population of this study were all fourth grade students at SD Negeri 136 Palembang. The sample for this research was students in class IV.A and IV.B with a total of 43 students. The sample selection technique used was simple random sampling. Data collection techniques in this research are observation and tests. Data analysis used the Independent sample T-test. The results of this research show that the average posttest learning outcome score for the experimental class is 78.18 and the control class is 67.62. The results of the t-test calculation of learning outcomes obtained t_count= 2.460 ≥ t_tabel= 1.6829 with a significance level = 0.05. Based on the research results, it can be concluded that there is a significant influence of the use of interactive learning media on the science learning outcomes of class IV students at SD Negeri 136 Palembang.

Dampak Kecanduan Gadget Terhadap Emosional Anak Di Kelas 6 Sekolah Dasar

Many students who are addicted to gadgets tend to spend more time interacting with digital devices than interacting directly with other people. Lack of social interaction has an impact on children's ability to develop communication skills, empathy and social understanding. The aim of this research is to describe how gadget addiction has an emotional impact on children in class VI at SDN 006 Sorek Dua. This research design uses quantitative descriptive research methods. The population in this study was all 46 class VI students. The sample selection technique used a totaling sample, so the sample in this study was 46 students. In this research, the data collection technique uses a questionnaire and the instrument is a questionnaire sheet. The data analysis technique in this research uses percentage data. Based on the research findings, it can be concluded that the impact of gadget addiction on children's emotions in class VI students at SDN 006 Sorek Dua on the variables of gadget addiction and children's emotions is in the medium category.

The Influence of the Talking Stick Learning Model on the Motivation and Learning Outcomes of Class V Students at SD Negeri 88 Palembang

This research aims to determine whether there is an influence of using the Talking Stick learning model on the motivation and learning outcomes of class V students at SD Negeri 88 Palembang. This research is a quantitative type using a Quasi Experimental type of experimental research method with a Nonequivalent Control Group Design. The population of this study were all fifth grade students at SD Negeri 88 Palembang. The sample for this research was students in classes V.3 and V.4 with a total of 50 students. The sample selection technique used was proportional sampling. Data collection techniques in this research are questionnaires and tests. Data analysis used the Independent sample T-test. The results of this research show that the average posttest learning motivation score for the experimental class is 87.28 and the control class is 78.72, while the average posttest learning result for the experimental class is 86 and the control class is 71.20. The results of the t-test calculation of learning motivation obtained t_count= 6.591 ≥ t_tabel= 1.678 and the results of the calculation of learning outcomes obtained t_count= 4.714 ≥ t_tabel= 1.678 with a significance level = 0.05. Based on the research results, it can be concluded that there is a significant influence of the use of the Talking Stick learning model on the motivation and learning outcomes of class V students at SD Negeri 88 Palembang.

The Influence of Capital Structure, Sales Growth on Financial Performance, with Liquidity and Environment, Social and Government Rating as Control Variables and Moderated by Company Size

This study aims to examine the influence of Capital Structure and Sales Growth on Financial Performance with Liquidity and Environment, Social and Governance Rating as Control Variables and moderated by the Size of the Company. This study also uses data from manufacturing companies obtained from the Indonesian stock exchange from 2018 to 2022, The research method in this study is quantitative research. The sample selection technique used was purposive sampling and was obtained from 32 manufacturing companies so that the total number of obervation data was 160 data. The data analysis method in this study is multiple linear regression analysis using panel data regression analysis with a fixed effect model. The results of the study show that the capital structure variable has a positive effect on financial performance. The sales growth variable did not have a positive effect on financial performance. Liquidity and Environment, Social and Governance Rating have no effect on financial performance. The size of the company moderates the capital structure to financial performance. company size does not moderate sales growth to financial performance.

The Influence of Environmental, Social and Governance Disclosure Concepts on the Success of Sustainable Business in Companies Listed on the Indonesian Stock Exchange in 2023 with the Implementation of Enterprise Resource Planning System as a Moderating Variable

The purpose of this research is to examine and analyze the influence of environmental disclosure, social disclosure and governance disclosure on sustainable business as proxied by Net Profit Margin (NPM) in companies listed on the Indonesia Stock Exchange in 2023 and moderated by Enterprise Resource Planning (ERP). This type of research is quantitative descriptive which uses secondary data with testing tools in the form of SPSS version 29, and the sample used was 51 companies with purposive sampling technique as the sample selection technique. The results of hypothesis testing show that environmental disclosure has a significant positive effect on sustainable business, while social disclosure has a significant negative effect and governance disclosure has a negative but not significant effect on sustainable business. Overall, this interaction is moderated by ERP. Apart from that, ERP has positive effect also been proven to be able to have a direct influence on sustainable business. Keywords: Environmental Disclosure, Social Disclosure, Governance Disclosure, Sustainable Business, Net Profit Margin, Enterprise Resource Planning System

Kemampuan Literasi Matematis Ditinjau dari Motivasi Belajar pada Siswa Kelas XI SMA Negeri 2 Padang Panjang

This research is motivated by the fact that the number of students who have low mathematical literacy skills is caused by various factors. One of the factors that affects mathematical literacy ability is learning motivation. This study aims to determine the ability of mathematical literacy when viewed from the learning motivation of students. This type of research is quantitative descriptive. The sample in this study is grade XI students of SMA Negeri 2 Padang Panjang. The sample selection technique in this study uses the Stratified random sampling technique where the sample is selected based on strata. The instrument used in this study is test questions in the form of essays to see students' mathematical literacy skills. Data analysis was carried out descriptively on all research data. The results showed that the average mathematical literacy ability was 50 which was classified as low. If viewed from high learning motivation is classified as medium with an average score of 69, when viewed from medium learning motivation has low mathematical literacy skills with an average score of 56 and mathematical literacy ability reviewed from low learning motivation is classified as low in the low category with an average score of 25

Modern farming techniques in enhancing rice production: Insights from the anchor borrowers’ programme in Ebonyi state, Nigeria

This work centres on the contribution of the Nigerian government’s Anchor Borrowers’ Programmes on rice production in the country. This study employs quantitative methodology and with a primary objective to dissect the efficacy of modern farming techniques facilitated by the Anchor Borrowers’ Programmes (ABP), evaluates the advantages and disadvantages inherent in rice production under this programme. Conducted within the agricultural landscape of Ebonyi State, Nigeria, this study adopts a cross-sectional survey approach to gauge the symbiotic relationship between rice production and the ABP. Targeting a cohort of rice smallholder farmers who have directly benefited from the program, the work employs stratified random sampling and purposeful selection techniques to guarantee comprehensive representation within a population of 400 respondents. This study utilizes the mixed-methods approach to data collection, including structured questionnaires administered to rice farmers in Ebonyi State, Nigeria. This research tests hypotheses by utilising statistical tools such as regression analysis. The outcome of this study underscores the imperative for continued support and refinement of the Anchor Borrowers’ Programme. Moreover, it elucidates the pivotal role of financial institutions and agricultural lending agencies in equipping farmers with the requisite skills and resources. Ultimately, this study affirms the crucial role of modern farming methodologies in propelling rice production within Ebonyi State, Nigeria. It recommends that young school leavers, especially those in the rural areas should also be encouraged to venture into agriculture through schemes such as the ABP, bank financing and innovative financing so as to help the Federal Government achieve its economic diversification drive.

The Effect of Political Connections, Independent Commissioners and Capital Intensity on Tax Aggressiveness with Transfer Pricing as a Moderating Variable (Empirical Study of Mining Companies Listed on the IDX for the 2018-2022 Period)

This study aims to examine the effect of political connections, independent commissioners, and capital intensity on tax aggressiveness with transfer pricing as a moderating variable. The population in this study is all mining companies listed on the Indonesia Stock Exchange (IDX) in the 2018-2022 period. The purposive sampling method is a sample selection technique used in this study with various specific criteria. The data analysis technique used is the classical assumption test consisting of the normality test, multicollinearity test, heteroscedasticity test and autocorrelation test. Meanwhile, hypothesis testing is carried out using multiple linear regression analysis, f test, coefficient of determination (R2) test and t test. The results of the data analysis show that political connections have a significant effect on tax aggressiveness with a significant value of 0.029 (p <0.05). Likewise, independent commissioners also have a significant effect on tax aggressiveness with a significant value of 0.034 (p <0.05). On the other hand, capital intensity does not have a significant effect on tax aggressiveness with a significant value of 0.333 (p > 0.05). Furthermore, political connections have a significant effect on tax aggressiveness with transfer pricing as a moderating variable, with a significant value of 0.027 (p < 0.05). Independent commissioners also show a significant effect on tax aggressiveness with transfer pricing as a moderating variable, with a significant value of 0.004 (p < 0.05). However, capital intensity does not have a significant impact on tax aggressiveness when moderated by transfer pricing, with a significant value of 0.480 (p > 0.05).

Label-noise learning via uncertainty-aware neighborhood sample selection

Existing deep learning methods often require a large amount of high-quality labeled data. Yet, the presence of noisy labels in the real-world training data seriously affects the generalization ability of the model. Sample selection techniques, the current dominant approach to mitigating the effects of noisy labels on models, use the consistency of sample predictions and observed labels to make clean selections. However, these methods rely heavily on the accuracy of the sample predictions and inevitably suffer when the model predictions are unstable. To address these issues, we propose an uncertainty-aware neighborhood sample selection method. Especially, it calibrates for sample prediction by neighbor prediction and reassigns model attention to the selected samples based on sample uncertainty. By alleviating the influence of prediction bias on sample selection and avoiding the occurrence of prediction bias, our proposed method achieves excellent performance in extensive experiments. In particular, we achieved an average of 5% improvement in asymmetric noise scenarios.

PENGARUH UKURAN PERUSAHAAN, AUDIT TENURE, AUDIT FEE DAN AUDIT DELAY TERHADAP KUALITAS AUDIT

This research aims to determine the influence of Company Size, Audit Tenure, Audit Fee, and Audit Delay on Audit Quality in food and beverage companies listed on the Indonesia Stock Exchange in 2019-2023. This type of research is quantitative research and uses secondary data in the form of audited financial reports obtained from the official IDX website. The population in this study were 43 companies in the food and beverage sector listed on the Indonesia Stock Exchange in 2019-2023 with a sample selection technique using the purposive sampling method and 12 sample companies were obtained over a 5 year period so that the data analyzed amounted to 60 data. The analysis technique used is the Logistic Regression Analysis technique with the help of the eviews 12 program. The results of this research show that simultaneously Company Size, Audit Tenure, Audit Fee, and Audit Delay have no effect on Audit Quality. Partially, company size, audit tenure and audit delay have no effect on audit quality, while audit fees have a significant effect on audit quality.

IDS-FRNN: an intrusion detection system with optimized fuzziness-based sample selection technique

IDS-FRNN: an intrusion detection system with optimized fuzziness-based sample selection technique

Boosting medical diagnostics with a novel gradient-based sample selection method

In the rapidly expanding landscape of medical data, the need for innovative approaches to maximize classification performance has become increasingly critical. As data volumes grow, ensuring that diagnostic systems work with accurate and relevant data is paramount for effective and generalizable classification. This study introduces a novel gradient-based sample selection method, the first of its kind in the literature, specifically designed to enhance classification accuracy by removing redundant and non-informative data. Unlike traditional methods that focus solely on feature selection, this approach integrates an advanced sample selection technique to optimize the input data, leading to more accurate and efficient diagnostics. The method is validated on multiple disease datasets, including the Wisconsin Diagnostic Breast Cancer (WDBC) dataset and the Cleveland Coronary Artery Disease (CAD) dataset, demonstrating its broad applicability and effectiveness. To address dataset imbalance, the Adaptive Synthetic Sampling (ADASYN) method is employed, followed by Particle Swarm Optimization (PSO) for feature selection. The refined datasets are then classified using a Support Vector Machine (SVM), showing that even traditional classifiers can achieve substantial improvements when enhanced with advanced sample selection. The results underscore the critical importance of precise sample selection in boosting classification performance, setting a new standard for computer-aided diagnostics and paving the way for future innovations in handling large and complex medical datasets.