Open Journal System Universitas Mohammad Husni Thamrin
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The Relationship Between Workload and Work-Life Balance and Job Satisfaction of Employees at PT. X Medan
No full textIn the era of globalization, increasingly fierce business competition requires companies to have competent and high-performing human resources. Job satisfaction is a crucial aspect in the workplace that influences productivity and employee well-being, where excessive workload and imbalance in work-life balance can impact job satisfaction. This study aims to analyze the relationship between workload and work-life balance on employee job satisfaction at PT.X Medan. This study used a quantitative approach with a cross-sectional design. The sampling technique used purposive sampling of 50 employees from the Engineering and Processing Division. The data were analyzed using Pearson's correlation test Product Moment test. The results of the study indicate a very strong and significant negative relationship between workload and job satisfaction (r = -0.977), meaning that as workload increases, job satisfaction tends to decrease. Conversely, there is a very strong and significant positive correlation between work-life balance and job satisfaction (r = 0.958), indicating that the better the work-life balance, the higher the job satisfaction. These results confirm that high workload and poor work-life balance are associated with a decrease in employee job satisfaction. Therefore, evaluating and redistributing workload more proportionally, as well as implementing policies that support work-life balance for employees, are important for improving overall job satisfaction
The Influence of Leaflet Media on Knowledge, Attitudes and Behavior in Correct Cable Arrangement among Employees of the Health Directorate of PT APLN Jakarta
No full textOccupational safety and health (OHS) is a critical global issue that deserves serious attention. One often overlooked but potentially devastating cause of accidents is the use of improper electrical installations, including substandard wiring. Improper cable arrangement poses risks of fire and workplace accidents. Leaflets as an educational medium are considered effective in improving employees’ understanding of proper cable management. This study aimed to analyze the effect of leaflet intervention on employees’ knowledge, attitudes, and practices at PT APLN. A pre-experimental one-group pretest–posttest design was conducted involving 89 respondents selected through total sampling. Data were collected using questionnaires before and after the intervention and analyzed with the McNemar test. Results showed significant improvements: good knowledge increased from 18.0% to 97.8%, positive attitudes from 10.1% to 97.8%, and proper practices from 19.1% to 98.9%. The McNemar test yielded p = 0.000 (<0.05) for all variables, indicating a significant effect of leaflet use. Thus, leaflets proved effective in enhancing knowledge, attitudes, and practices regarding cable arrangement. Continuous education through various media and routine supervision are recommended to sustain long-term behavioral change
The Influence of Individual Characteristics, Organizational Culture, and Work Motivation on Employee Performance at PT. Girefindo Kimia Abadi
No full textHuman resources are one of the important elements in an organization that has a crucial role in the success of achieving organizational goals. Many factors can influence human resource performance, including Individual Characteristics, Organizational Culture, and Work Motivation. This study was conducted to determine whether there is a relationship and influence between Individual Characteristics, Organizational Culture, and Work Motivation on Employee Performance at PT. Girefindo Kimia Abadi. The research sample consisted of 92 respondents, with a survey method using a quantitative approach. The results of the t-test showed that the Individual Characteristics variable had a t count of 6.380 > t table 1.987 with a significance value of 0.000 < 0.05, so H1 was accepted, indicating that individual characteristics had a positive and significant effect on employee performance. For the Organizational Culture variable, a t count of 2.258 > t table 1.987 and a significance value of 0.026 < 0.05, so H2 was accepted, indicating a positive and significant effect on employee performance. The Work Motivation variable obtained a t count of 4.050 > t table of 1.987 with a significance of 0.000 < 0.05, so H3 was accepted, which means that work motivation contributes positively and significantly to employee performance. Furthermore, the F test shows that f count 342.628 > f table 2.71 with a significance value of 0.000 < 0.05, so that H4 is accepted, which confirms that Individual Characteristics, Organizational Culture, and Work Motivation simultaneously have a direct influence on employee performance
Factors Associated with Overnutrition Status among Adolescents at Mutiara Bangsa Junior High School, Depok
No full textPrevalensi remaja dengan umur 13-15 tahun yang mengalami status gizi lebih atau gemuk di Jawa Barat Kota semakin meningkat hingga saat ini. Perkembangan teknologi yang pesat berkontribusi terhadap kenaikan prevalensi gizi lebih. Tanpa disadari teknologi menyebabkan seseorang kurang beraktivitas, sering mengonsumsi fast food. Adapun faktor lainnya adalah pengetahuan gizi, jumlah uang saku dan kebiasaan sarapan. Tujuan: Mengetahui faktor yang berhubungan dengan status gizi lebih pada remaja di SMP Mutiara Bangsa Depok. Metode: Penelitian ini bersifat kuantitatif dan menggunakan desain cross sectional. Populasi pada penelitian ini yaitu seluruh siswa kelas VIII dan IX SMP Mutiara Bangsa Depok. Sampel yang digunakan sebanyak 68 responden dengan teknik pengambilan sampel total sampling. Instrumen penelitian yang digunakan adalah timbangan digital, microtoise, kuesioner PAQ-A, pengetahuan gizi, kebiasaan sarapan, jumlah uang saku, dan lembar FFQ untuk mengetahui data fast food. Hasil: Penelitian menunjukan bahwa sebanyak 24 remaja (35,3%) mengalami gizi lebih. Tidak ada hubungan yang signifikan antara konsumsi fast food, aktivitas fisik, pengetahuan gizi, jumlah uang saku dan kebiasaan sarapan dengan status gizi lebih pada remaja di SMP Mutiara Bangsa Depok. Saran: Diharapkan dapat mengurangi frekuensi fast food dengan membawa bekal dari rumah, mengganti makanan fast food dengan buah-buahan dan sayur mayur, meningkatkan kebiasaan sarapan dan aktivitas fisik minimal 2 kali dalam seminggu
Design of an Arabic Interactive Learning Multimedia Application Using the MDLC Method
No full textThe Indonesian government through educational institutions has made various efforts to teach the language. Apart from Indonesian and regional languages, languages such as English, Arabic and Mandarin are some of the languages that will be taught to students. Arabic language learning at Madrasah Tsanawiyah Istiqlal Jakarta is going well, although there are still many students who have difficulty learning Arabic and tend to prefer English lessons. Some students find Arabic lessons difficult to understand. Easy and fun Arabic learning applications are needed to increase student interest. This research aims to produce a design for an interactive Arabic learning multimedia application. The method used is the Multimedia Development Life Cycle (MDLC) which consists of six phases, namely concept, design, material collection, production, testing and distribution. Use-case modeling is used to show application modeling where users can access several features provided by the application. The first testing stage uses the black box method by testing the application based on system responses such as the intro display, main page and buttons on the application. The second stage of beta testing consists of testing user acceptance of the application for Madrasah Tsanawiyah Istiqlal Jakarta students. Both stages of testing show that the application runs well and can be used correctly by users. User testing was carried out by calculating questionnaires from MTs Istiqlal Jakarta students which resulted in a score of 86.68%. This score shows that the usability aspect of Arabic language learning media is suitable for use
User Satisfaction Analysis of Netflix Application Using End User Computing Satisfaction (EUCS) Method
No full textTechnology has changed many aspects of life, including economics, politics, government, and communication, which have an impact on people's lifestyles and views. One of these changes is the emergence of streaming services such as Netflix, which allows users to watch various shows and movies by subscribing. This study aims to measure Netflix user satisfaction using the End User Computing Satisfaction (EUCS) method. The EUCS method is used to compare user expectations and reality towards information systems. This study involved 50 respondents from various age groups and professions: 5 people aged 17–20 years, 38 aged 21–29, 6 aged 30–39, and 1 aged 40–49. In terms of occupation, there were 14 students, 3 housewives, 3 entrepreneurs, 25 employees, and 5 others. The majority of respondents have an income of 3–5 million rupiah. The results of the study showed that more than 80% of respondents stated "strongly agree" in all aspects, this can be seen in the results in the form of: the results of the content component which contains two questions in which respondents choose to feel satisfied, for the results of the accuracy component which contains two questions in which respondents choose to feel satisfied, the Display component (Format) which contains two questions in which respondents choose to feel satisfied, the results of the respondents' choices for the Ease of Use component which contains two questions in which respondents choose to feel satisfied, the Timeliness component which contains two questions in which respondents choose to feel satisfied reflects high satisfaction with Netflix
Design of Application for Reporting Violence Against Women and Children in RT.001 RW.005 KEL.Dukuh with Waterfall Method
No full textViolence against women and children is a violation of human rights that occurs across various layers of society, with a significant increase in Indonesia. Data shows that the number of cases of violence against women and children in East Jakarta reached 302 cases in the first six months of 2024. RT.001 RW.005 in the Dukuh Kramat Jati area is one of the areas facing this issue. In this context, incidents of violence are often not addressed or reported swiftly, leading to victims not receiving the protection they deserve. This study aims to design the "Report Violence Against Women and Children" application using the waterfall method, which is expected to make it easier for residents to report cases of violence directly to the RT and RW administrators. Through needs analysis and data collection, this application will provide an efficient solution for report administration. The benefits of this study are not limited to theoretical aspects but also practical ones, with the hope of increasing public awareness and accelerating the handling of violence cases. The outcome of this study is expected to be an application documentation that can be published and copyrighted, thus being accessible to the wider public. This research underscores the importance of information technology in addressing critical social issues, such as violence against women and children, and contributes to the development of a more responsive and effective reporting application
Comparative Analysis of Voting and Stacking Ensemble Learning for Heart Disease Prediction: A Machine Learning Approach
No full textHeart disease remains a leading cause of mortality worldwide, necessitating the development of accurate predictive models for early diagnosis and intervention. This study investigates the effectiveness of ensemble learning approaches, particularly Voting and Stacking classifiers, in comparison to traditional machine learning models and deep learning architectures. Using a dataset containing clinical and diagnostic attributes, preprocessing steps such as label encoding and standardization were applied to ensure compatibility with machine learning models. The ensemble classifiers were constructed using base learners, including Random Forest, Gradient Boosting, and XGBoost, with soft voting aggregation and logistic regression meta-learning for the Stacking approach. The models were evaluated using stratified ten-fold cross-validation based on precision, recall, F1-score, and ROC-AUC. The results indicate that the Voting classifier achieved the highest overall F1-score (0.8882) and ROC-AUC (0.8697), surpassing the Stacking classifier. Additionally, ensemble models demonstrated competitive performance compared to deep learning architectures, with Random Forest and Gradient Boosting achieving the highest ROC-AUC scores of 0.9313 and 0.9279, respectively. The findings suggest that ensemble methods provide an effective, interpretable, and computationally efficient alternative to deep learning for heart disease prediction. This study highlights the potential of ensemble learning in medical applications and provides valuable insights into optimizing classification models for structured tabular healthcare datasets
Machine Learning-Based Obesity Classification: A Comparative Study Using Self-Reported Survey Data and Ensemble Learning Models
No full textObesity has become one of the most pressing global health challenges of the 21st century, with its prevalence increasing at an alarming rate. Obesity is a major global health concern, contributing to an increased risk of cardiovascular disease, diabetes, and other metabolic disorders. Traditional assessment methods, such as BMI-based classification, often fail to incorporate lifestyle and behavioral factors, limiting their predictive capabilities. This study explores the use of machine learning for obesity classification based on self-reported survey data collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 2111 instances with 17 attributes, covering demographic characteristics, eating habits, and physical activity levels. Eight machine learning models, including Logistic Regression, Random Forest, Gradient Boosting, Support Vector Machine (SVM), Decision Tree, K-Nearest Neighbors, Naïve Bayes, and AdaBoost, were evaluated using 10-fold cross-validation. Results indicate that Gradient Boosting achieved the highest accuracy of 96.49%, followed by Random Forest and SVM, demonstrating the effectiveness of ensemble learning techniques in capturing complex feature interactions. In contrast, Naïve Bayes and AdaBoost exhibited the lowest classification performance due to their strong assumptions about feature independence and sensitivity to noisy data. The findings highlight the potential of machine learning in obesity classification and underscore the need for advanced predictive models to enhance public health monitoring and intervention strategies
UI/UX Design of Pratama Clinic Mobile Application Based on User Cultural Dimensions with User-Centered Design (UCD) Approach
No full textDigital transformation has brought significant changes to various sectors, including healthcare. Digital technology, particularly mobile applications, enables increased efficiency, accessibility, and service quality. In the context of digital healthcare, effective user interface (UI) and user experience (UX) design are key factors in increasing application adoption by users. This study aims to design a mobile application for Klinik Pratama using a User-Centered Design (UCD) approach and integrating local cultural values in Malang City to improve accessibility and user satisfaction. This study uses quantitative methods. Data collection techniques include in-depth interviews with respondents, participant observation, and prototype evaluation using the System Usability Scale (SUS). The cultural dimensions used include Power Distance, Collectivism, Uncertainty Avoidance, Masculinity vs. Femininity, and Long-Term Orientation, which are then implemented in UI design elements. The evaluation results show that the integration of UCD with a culture-based approach can significantly increase the application's usability value, with an average SUS score of 86.75 for patients, 87.5 for doctors, and 85.83 for administrative staff. All scores are included in the 'Good' category with a letter grade of 'B' based on the interpretation of the SUS standard. These findings confirm that a user-oriented design approach to culture can promote the inclusivity and effectiveness of primary digital health services through design strategies that are adaptive to local culture